OERTEL RomyOERTEL Romy4122017-05-18T16:38:00Z2017-05-18T15:43:00Z2017-05-18T16:38:00Z44850248468World Intellectual Property Organization4031135685714E INCLUDEPICTURE \d "wordml://75.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://75.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAALgAAAAwCAYAAACi0LByAAAKQ2lDQ1BJQ0MgcHJvZmlsZQAAeNqd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TG/16/9(proj.1)ORIGINAL: EnglishDATE: 2017-05-05INTERNATIONAL UNION FOR THE PROTECTION OF NEW VARIETIES OF PLANTSGeneva DRAFT RICE UPOV Code(s): ORYZA_SAT Oryza sativa L. * GUIDELINES FOR THE CONDUCT OF TESTS FOR DISTINCTNESS, UNIFORMITY AND STABILITY prepared by experts from Japanto be considered by theTechnical Working Party for Agricultural Cropsat its forty-sixth session, to be held in Hanover, Germany,from 2017-06-19 to 2017-06-23 Disclaimer: this document does not represent UPOV policies or guidance Alternative names:* Botanical nameEnglishFrenchGermanSpanish TC "<p><em>Oryza sativa </em>L.<br /> </p> " \f C \l "1"Oryza sativa L. RiceRizReisArroz The purpose of these guidelines (“Test Guidelines”) is to elaborate the principles contained in the General Introduction (document TG/1/3), and its associated TGP documents, into detailed practical guidance for the harmonized examination of distinctness, uniformity and stability (DUS) and, in particular, to identify appropriate characteristics for the examination of DUS and production of harmonized variety descriptions. ASSOCIATED DOCUMENTS These Test Guidelines should be read in conjunction with the General Introduction and its associated TGP documents.*These names were correct at the time of the introduction of these Test Guidelines but may be revised or updated. [Readers are advised to consult the UPOV Code, which can be found on the UPOV Website (www.upov.int), for the latest information.]TABLE OF CONTENTSPAGE 1.SUBJECT OF THESE TEST GUIDELINES..........................................................................................................4 2.MATERIAL REQUIRED.........................................................................................................................................4 3.METHOD OF EXAMINATION................................................................................................................................5 3.1Number of Growing Cycles........................................................................................................................53.2Testing Place.............................................................................................................................................53.3Conditions for Conducting the Examination...............................................................................................53.4Test Design................................................................................................................................................53.5Additional Tests.........................................................................................................................................5 4.ASSESSMENT OF DISTINCTNESS, UNIFORMITY AND STABILITY.................................................................6 4.1Distinctness...............................................................................................................................................64.2Uniformity..................................................................................................................................................74.3Stability......................................................................................................................................................8 5.GROUPING OF VARIETIES AND ORGANIZATION OF THE GROWING TRIAL................................................9 6.INTRODUCTION TO THE TABLE OF CHARACTERISTICS................................................................................10 6.1Categories of Characteristics.....................................................................................................................106.2States of Expression and Corresponding Notes........................................................................................106.3Types of Expression..................................................................................................................................106.4Example Varieties......................................................................................................................................116.5Legend.......................................................................................................................................................12 7.TABLE OF CHARACTERISTICS/TABLEAU DES CARACTÈRES/MERKMALSTABELLE/TABLA DE CARACTERES......................................................................................................................................................13 8.EXPLANATIONS ON THE TABLE OF CHARACTERISTICS...............................................................................30 8.1Explanations covering several characteristics...........................................................................................308.2Explanations for individual characteristics.................................................................................................30 9.LITERATURE.........................................................................................................................................................30 10.TECHNICAL QUESTIONNAIRE............................................................................................................................42 TG/16/9(proj.1)RICE, 2017-05-05PAGE21.Subject of these Test Guidelines These Test Guidelines apply to all varieties of Oryza sativa L.. 2.Material Required 2.1The competent authorities decide on the quantity and quality of the plant material required for testing the variety and when and where it is to be delivered. Applicants submitting material from a State other than that in which the testing takes place must ensure that all customs formalities and phytosanitary requirements are complied with. 2.2The material is to be supplied in the form of seed and panicles (if requested). 2.3The minimum quantity of plant material, to be supplied by the applicant, should be: Seed: 2 kgPanicles (if requested): 120 The seed should meet the minimum requirements for germination, species and analytical purity, health and moisture content, specified by the competent authority. In cases where the seed is to be stored, the germination capacity should be as high as possible and should, be stated by the applicant. The panicles should be well developed and should contain a sufficient number of viable seeds to establish a satisfactory row of plants for observation. 2.4The plant material supplied should be visibly healthy, not lacking in vigor, nor affected by any important pest or disease. 2.5The plant material should not have undergone any treatment which would affect the expression of the characteristics of the variety, unless the competent authorities allow or request such treatment. If it has been treated, full details of the treatment must be given.TG/16/9(proj.1)RICE, 2017-05-05PAGE33.Method of Examination 3.1Number of Growing Cycles 3.1.1The minimum duration of tests should normally be two independent growing cycles. 3.1.2The two independent growing cycles should be in the form of two separate plantings. 3.2Testing Place Tests are normally conducted at one place. In the case of tests conducted at more than one place, guidance is provided in TGP/9 “Examining Distinctness”. 3.3Conditions for Conducting the Examination 3.3.1The tests should be carried out under conditions ensuring satisfactory growth for the expression of the relevant characteristics of the variety and for the conduct of the examination. 3.3.2The optimum stage of development for the assessment of each characteristic is indicated by a number in the second column of the Table of Characteristics. The stages of development denoted by each number are described in Chapter 8. 3.4Test Design 3.4.1Each test should be designed to result in a total of at least 2000 plants, which should be divided between at least 2 replicates. 3.4.2The design of the tests should be such that plants or parts of plants may be removed for measurement or counting without prejudice to the observations which must be made up to the end of the growing cycle. 3.4.3If tests on panicle rows are conducted, at least 100 panicle rows should be observed. 3.5Additional Tests Additional tests, for examining relevant characteristics, may be established.TG/16/9(proj.1)RICE, 2017-05-05PAGE44.Assessment of Distinctness, Uniformity and Stability 4.1Distinctness 4.1.1General Recommendations It is of particular importance for users of these Test Guidelines to consult the General Introduction prior to making decisions regarding distinctness. However, the following points are provided for elaboration or emphasis in these Test Guidelines. To assess distinctness of hybrids, the parent lines and the formula may be used according to the following recommendations: (i) description of parent lines according to the Test Guidelines; (ii) check of the originality of the parent lines in comparison with the variety collection, based on the characteristics in Chapter 7, in order to identify similar parent lines; (iii) check of the originality of the hybrid formula in relation to the hybrids in the variety collection, taking into account the most similar lines; and (iv) assessment of the distinctness at the hybrid level for varieties with a similar formula. Further guidance is provided in documents TGP/9 "Examining Distinctness" and TGP/8 "Trial Design and Techniques Used in the Examination of Distinctness, Uniformity and Stability". 4.1.2Consistent Differences The differences observed between varieties may be so clear that more than one growing cycle is not necessary. In addition, in some circumstances, the influence of the environment is not such that more than a single growing cycle is required to provide assurance that the differences observed between varieties are sufficiently consistent. One means of ensuring that a difference in a characteristic, observed in a growing trial, is sufficiently consistent is to examine the characteristic in at least two independent growing cycles. 4.1.3Clear Differences Determining whether a difference between two varieties is clear depends on many factors, and should consider, in particular, the type of expression of the characteristic being examined, i.e. whether it is expressed in a qualitative, quantitative, or pseudo-qualitative manner. Therefore, it is important that users of these Test Guidelines are familiar with the recommendations contained in the General Introduction prior to making decisions regarding distinctness. 4.1.4Number of plants or parts of plants to be Examined Unless otherwise indicated, for the purposes of distinctness, all observations on single plants should be made on 10 plants or parts of plants taken from each of 10 plants and any other observations made on all plants in the test, disregarding any off-type plants. In the case of observations of parts taken from single plants, the number of parts to be taken from each of the plants should be 1. 4.1.5Method of Observation The recommended method of observing the characteristic for the purposes of distinctness is indicated by the following key in the second column of the Table of Characteristics (see document TGP/9 “Examining Distinctness”, Section 4 “Observation of characteristics”): MG: single measurement of a group of plants or parts of plants MS: measurement of a number of individual plants or parts of plants VG: visual assessment by a single observation of a group of plants or parts of plantsVS: visual assessment by observation of individual plants or parts of plants Type of observation: visual (V) or measurement (M) “Visual” observation (V) is an observation made on the basis of the expert’s judgment. For the purposes of this document, “visual” observation refers to the sensory observations of the experts and, therefore, also includes smell, taste and touch. Visual observation includes observations where the expert uses reference points (e.g. diagrams, example varieties, side-by-side comparison) or non-linear charts (e.g. color charts). Measurement (M) is an objective observation against a calibrated, linear scale e.g. using a ruler, weighing scales, colorimeter, dates, counts, etc. Type of record: for a group of plants (G) or for single, individual plants (S) For the purposes of distinctness, observations may be recorded as a single record for a group of plants or parts of plants (G), or may be recorded as records for a number of single, individual plants or parts of plants (S). In most cases, “G” provides a single record per variety and it is not possible or necessary to apply statistical methods in a plant-by-plant analysis for the assessment of distinctness. In cases where more than one method of observing the characteristic is indicated in the Table of Characteristics (e.g. VG/MG), guidance on selecting an appropriate method is provided in document TGP/9, Section 4.2. 4.2Uniformity 4.2.1It is of particular importance for users of these Test Guidelines to consult the General Introduction prior to making decisions regarding uniformity. However, the following points are provided for elaboration or emphasis in these Test Guidelines: 4.2.2The assessment of uniformity for hybrid varieties depends on the type of hybrid and should be according to the recommendations for hybrid varieties in the General Introduction. 4.2.3Where the assessment of a hybrid variety involves the parent lines, the uniformity of the hybrid variety should, in addition to an examination of the hybrid variety itself, also be assessed by examination of the uniformity of its parent lines. 4.2.4The recommended sample size for the assessment of uniformity is indicated by the following key in the table of characteristics: A: sample size of 100 plants/parts of plants/panicle rows B: sample size of 2000 plants 4.2.5For the assessment of uniformity in a sample of 2000 plants, a population standard of 0.1% and an acceptance probability of at least 95% should be applied. In the case of a sample size of 2000 plants, 5 off-types are allowed.4.2.64.2.6 For the assessment of uniformity in a sample of 100 panicle-rows, plants or parts of plants, a population standard of 1% and an acceptance probability of at least 95% should be applied. In the case of a sample size of 100 panicle-rows, plants or parts of plants, 3 off-types are allowed. An panicle-row is considered to be an off-type panicle-row if there is more than 1 off-type plant within that panicle-row.4.2.7For “A” characteristics, the assessment of uniformity can be done in 2 steps. In a first step, 20 plants or parts of plants are observed. If no off-types are observed, the variety is considered to be uniform. If more than 3 off-types are observed, the variety is considered not to be uniform. If 1 to 3 off-types are observed, an additional sample of 80 plants or parts of plants must be observed.4.2.8For the assessment of uniformity of hybrid varieties, a population standard of 10% and an acceptance probability of at least 95% should be applied. In case of characteristics indicated by B, the sample size for the assessment of uniformity may be reduced to 200 plants. In case of a sample size of 200 plants, 27 off-types are allowed. In case of a sample size of 100 ear-rows, plants or parts of plants, 15 off-types are allowed. 4.3Stability 4.3.1In practice, it is not usual to perform tests of stability that produce results as certain as those of the testing of distinctness and uniformity. However, experience has demonstrated that, for many types of variety, when a variety has been shown to be uniform, it can also be considered to be stable. 4.3.2Where appropriate, or in cases of doubt, stability may be further examined by testing a new seed stock to ensure that it exhibits the same characteristics as those shown by the initial material supplied. 4.3.3Where appropriate, or in cases of doubt, the stability of a hybrid variety may, in addition to an examination of the hybrid variety itself, also be assessed by examination of the uniformity and stability of its parent lines.5.Grouping of Varieties and Organization of the Growing Trial 5.1The selection of varieties of common knowledge to be grown in the trial with the candidate varieties and the way in which these varieties are divided into groups to facilitate the assessment of distinctness are aided by the use of grouping characteristics. 5.2Grouping characteristics are those in which the documented states of expression, even where produced at different locations, can be used, either individually or in combination with other such characteristics: (a) to select varieties of common knowledge that can be excluded from the growing trial used for examination of distinctness; and (b) to organize the growing trial so that similar varieties are grouped together. 5.3The following have been agreed as useful grouping characteristics: (a)Leaf: anthocyanin coloration (characteristic 4)(b)Time of heading (50% of plants with heads) (characteristic 18)(c)Excluding deepwater/floating varieties: Stem: length (excluding panicle) (characteristic 25)(d)Panicle: length of main axis (characteristic 33)(e)Lemma: color of tip (characteristic 34)(f)Decorticated grain: weight of 1000 seeds (characteristic 52)(g)Decorticated grain: color (characteristic 56)(h)Endosperm: type (characteristic 59) 5.4Guidance for the use of grouping characteristics, in the process of examining distinctness, is provided through the General Introduction and document TGP/9 “Examining Distinctness”.TG/16/9(proj.1)RICE, 2017-05-05PAGE76.Introduction to the Table of Characteristics 6.1Categories of Characteristics 6.1.1Standard Test Guidelines Characteristics Standard Test Guidelines characteristics are those which are approved by UPOV for examination of DUS and from which members of the Union can select those suitable for their particular circumstances. 6.1.2Asterisked Characteristics Asterisked characteristics (denoted by *) are those included in the Test Guidelines which are important for the international harmonization of variety descriptions and should always be examined for DUS and included in the variety description by all members of the Union, except when the state of expression of a preceding characteristic or regional environmental conditions render this inappropriate. 6.2States of Expression and Corresponding Notes 6.2.1States of expression are given for each characteristic to define the characteristic and to harmonize descriptions. Each state of expression is allocated a corresponding numerical note for ease of recording of data and for the production and exchange of the description. 6.2.2In the case of qualitative and pseudo-qualitative characteristics (see Chapter 6.3), all relevant states of expression are presented in the characteristic. However, in the case of quantitative characteristics with 5 or more states, an abbreviated scale may be used to minimize the size of the Table of Characteristics. For example, in the case of a quantitative characteristic with 9 states, the presentation of states of expression in the Test Guidelines may be abbreviated as follows: StateNotesmall3medium5large7 However, it should be noted that all of the following 9 states of expression exist to describe varieties and should be used as appropriate: StateNotevery small1very small to small2small3small to medium4medium5medium to large6large7large to very large8very large9 6.2.3Further explanation of the presentation of states of expression and notes is provided in document TGP/7 “Development of Test Guidelines”. 6.3Types of Expression An explanation of the types of expression of characteristics (qualitative, quantitative and pseudo-qualitative) is provided in the General Introduction.TG/16/9(proj.1)RICE, 2017-05-05PAGE8 6.4Example Varieties Where appropriate, example varieties are provided to clarify the states of expression of each characteristic. 6.5Legend EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota1234567Name of characteristics in EnglishNom du caractère en françaisName des Merkmals auf DeutschNombre del carácter en españolstates of expressiontypes d’expressionAusprägungsstufentipos de expresión 1Characteristic number 2(*)Asterisked characteristic– see Chapter 6.1.2 3Type of expressionQLQualitative characteristic– see Chapter 6.3QNQuantitative characteristic– see Chapter 6.3PQPseudo-qualitative characteristic– see Chapter 6.3 4Method of observation (and type of plot, if applicable)MG, MS, VG, VS – see Chapter 4.1.5 5(+)See Explanations on the Table of Characteristics in Chapter 8.2 6(a) 7Growth stage key See Explanations on the Table of Characteristics in Chapter 8 A: sample size of 100 plants/parts of plantsB: sample size of 2000 plants/parts of plants TG/16/9(proj.1)RICE, 2017-05-05PAGE97.Table of Characteristics/Tableau des caractères/Merkmalstabelle/Tabla de caracteres EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "1" \f C \l "1"1.QNVG|A(+)10Coleoptile: anthocyanin colorationabsent or weakkoshihikari1mediummurasakikoboshi3strong5 TC "2" \f C \l "1"2.QNVG|B(a)40Leaf sheath: anthocyanin colorationabsent or very weakkoshihikari1weakmurasakikoboshi3medium5strong7 TC "3" \f C \l "1"3.QNVG|B(a)40Leaf: intensity of green colorlight3mediumkoshihikari5darktakanari, hoshiyutaka7 TC "4" \f C \l "1"4.(*)QLVG|A(a)40Leaf: anthocyanin colorationabsentkoshihikari1presentmurasakikoboshi, sayomurasaki9TG/16/9(proj.1)RICE, 2017-05-05PAGE10EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "5" \f C \l "1"5.PQVG|B(a)40Leaf: distribution of anthocyanin colorationon tips only1on margins onlymurasakikoboshi, sayomurasaki2in blotches only3even4 TC "6" \f C \l "1"6.QLVG|A(a)40Leaf: auriclesabsent1presentkoshihikari9 TC "7" \f C \l "1"7.(*)QLVG|A(a)40Leaf: anthocyanin coloration of auriclesabsentkoshihikari1presentmurasakikoboshi, sayomurasaki9 TC "8" \f C \l "1"8.QLVG|A(a)40Leaf: collarabsent1presentkoshihikari9 TC "9" \f C \l "1"9.QLVG|A(a)40Leaf: anthocyanin coloration of collarabsentkoshihikari1presentmurasakikoboshi, sayomurasaki9TG/16/9(proj.1)RICE, 2017-05-05PAGE11EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "10" \f C \l "1"10.QLVG|A(a)40Leaf: liguleabsent1presentkoshihikari9 TC "11" \f C \l "1"11.PQVG|B(+)(a)40Leaf: shape of liguletruncate1acute2cleft3 TC "12" \f C \l "1"12.PQVG|B(a)40Leaf: color of ligulecolorlesskoshihikari1green2green with purple lines3light purple4purplemurasakikoboshi, sayomurasaki5 TC "13" \f C \l "1"13.QNMS|B/VG|B(+)40Flag leaf: lengthshort3medium5long7TG/16/9(proj.1)RICE, 2017-05-05PAGE12EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "14" \f C \l "1"14.QNMS|B/VG|B(+)40Flag leaf: widthnarrow3medium5broad7 TC "15" \f C \l "1"15.QNVG|B(a)40Leaf blade: pubescence of surfaceabsent or very weakleafstar1weak2mediumkoshihikari3strong4 TC "16" \f C \l "1"16.QNVG|B(+)40Culm: habiterect1semi-erect3open5spreading7prostrate9 TC "17" \f C \l "1"17.QLVG|A(+)40Culm: kneeing abilityabsent1present9TG/16/9(proj.1)RICE, 2017-05-05PAGE13EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "18" \f C \l "1"18.(*)QNMG|B55Time of heading (50% of plants with heads)very early1early3medium5late7very late9 TC "19" \f C \l "1"19.(*)PQMS|B/VG|B(+)60Male sterilityabsentkoshihikari, takanari1partial2total3 TC "20" \f C \l "1"20.QNVG|B60-65CMS and EMS lines only: Spikelet: angle between lemma and paleasmall3medium5large7TG/16/9(proj.1)RICE, 2017-05-05PAGE14EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "21" \f C \l "1"21.(*)QNVG|B60-80Lemma: pubescenceabsent or very weakleafstar1weak3mediumkoshihikari5strong7very strong9 TC "22" \f C \l "1"22.(*)PQVG|B65Spikelet: color of stigmawhitekoshihikari1light green2yellow3light purplesayomurasaki4purplemurasakikoboshi5 TC "23" \f C \l "1"23.(*)QNVG|B70Stem: anthocyanin coloration of nodesabsent or weakkoshihikari1mediumsayomurasaki3strongmurasakikoboshi5 TC "24" \f C \l "1"24.QLVG|A70Stem: anthocyanin coloration of internodesabsentkoshihikari1present9TG/16/9(proj.1)RICE, 2017-05-05PAGE15EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "25" \f C \l "1"25.(*)QNMG|B/MS|B70Excluding deepwater/floating varieties: Stem: length (excluding panicle)very short1short3medium5long7very long9 TC "26" \f C \l "1"26.QNVG|B70Stem: thicknessthin3mediumkoshihikari, sayomurasaki, benizomemochi5thickhoshiyutaka, momiroman, leafstar7 TC "27" \f C \l "1"27.QNMS|B70panicle: number per plantfewtakanari, momiroman3mediumkoshihikari5many7TG/16/9(proj.1)RICE, 2017-05-05PAGE16EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "28" \f C \l "1"28.(*)QNMS|B70Panicle: distribution of awnsabsent1few2medium3many4 TC "29" \f C \l "1"29.QNMS|B/VG|B70-80Panicle: length of longest awnsvery short1shortkoshihikari2mediumbenizomemochi, leafstar3long4very long5 TC "30" \f C \l "1"30.PQVG|B70-80Panicle: color of awnslight goldkoshihikari1gold2brown3reddish brown4light red5red6light purple7purplesayomurasaki8black9TG/16/9(proj.1)RICE, 2017-05-05PAGE17EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "31" \f C \l "1"31.(*)QNVG|B70-80Lemma: intensity of anthocyanin colorationabsent or very weakkoshihikari1weak3medium5strong7very strong9 TC "32" \f C \l "1"32.(*)QNVG|B70-80Lemma: extent of anthocyanin coloration from tipabsent or very smallkoshihikari1small3medium5large7very large9 TC "33" \f C \l "1"33.(*)QNMS|B(+)72-90Panicle: length of main axisshort3mediumkoshihikari, benizomemochi, leafstar5longmomiroman7TG/16/9(proj.1)RICE, 2017-05-05PAGE18EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "34" \f C \l "1"34.(*)PQVG|B80-90Lemma: color of tipwhitekoshihikari1yellowish2brownkoshinokaori, leafstar3red4purplemurasakikoboshi, sayomurasaki5black6 TC "35" \f C \l "1"35.(*)QNVG|B(+)90Flag leaf: attitude of bladeerect1semi-erect3horizontal5recurved7 TC "36" \f C \l "1"36.QNVG|B90Panicle: densitylax3mediumkoshihikari5densetakanari, hoshiyutaka7TG/16/9(proj.1)RICE, 2017-05-05PAGE19EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "37" \f C \l "1"37.(*)PQVG|B(+)90Panicle: attitude in relation to stemupright1semi-upright2slightly droopingkoshihikari3strongly drooping4 TC "38" \f C \l "1"38.(*)QNVG|B(+)90Panicle: attitude of brancheserect1semi-erectmurasakikoboshi3spreading5 TC "39" \f C \l "1"39.QNVG|B90Panicle: number of secondary branchesabsent1few2medium3many4 TC "40" \f C \l "1"40.QNVG|B(+)90Panicle: exsertionenclosed1partly exserted2just exserted3well exsertedkoshihikari4TG/16/9(proj.1)RICE, 2017-05-05PAGE20EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "41" \f C \l "1"41.QNMG|B/VG|B90Time of maturityvery early1early3medium5late7very late9 TC "42" \f C \l "1"42.QNVG|B(+)92Leaf: time of senescenceearly3medium5latekoshihikari7 TC "43" \f C \l "1"43.PQVG|B92Lemma: colorlight goldkoshihikari1goldleafstar2brown3reddish to light purple4purple5black6TG/16/9(proj.1)RICE, 2017-05-05PAGE21EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "44" \f C \l "1"44.PQVG|B92Lemma: ornamentationabsentkoshihikari1gold furrows2brown furrows3purple spots4purple furrows5 TC "45" \f C \l "1"45.QNVG|B(+)92Lemma: coloration with phenolabsent or very lightkoshihikari, momiroman, leafstar1light3medium5dark7 TC "46" \f C \l "1"46.QNMS|B(+)92Glume: lengthshort3mediumkoshihikari5long7 TC "47" \f C \l "1"47.PQVG|B92Glume: colorstrawkoshihikari1gold2red3purple4TG/16/9(proj.1)RICE, 2017-05-05PAGE22EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "48" \f C \l "1"48.QNMG|B(+)92Grain: weight of 1000 seedslowsari queen3mediumkoshihikari, takanari, leafstar5high7 TC "49" \f C \l "1"49.QNMS|B92Grain: lengthshort3mediumkoshihikari5long7 TC "50" \f C \l "1"50.QNMS|B92Grain: widthnarrowhoshiyutaka, leafstar3mediumkoshihikari5broad7 TC "51" \f C \l "1"51.QNMS|B(+)92Grain: ratio length/widthsmall1small to medium2medium3medium to large4large5TG/16/9(proj.1)RICE, 2017-05-05PAGE23EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "52" \f C \l "1"52.(*)QNMG|B92Decorticated grain: weight of 1000 seedslowsari queen3mediumkoshihikari, takanari, leafstar5high7 TC "53" \f C \l "1"53.(*)QNMS|B92Decorticated grain: lengthshort3mediumkoshihikari5longtakanari, hoshiyutaka, momiroman7 TC "54" \f C \l "1"54.QNMS|B92Decorticated grain: widthnarrowhoshiyutaka, leafstar3mediumkoshihikari5broad7 TC "55" \f C \l "1"55.(*)QNMS|B(+)92Decorticated grain: ratio length/widthsmall1small to mediumkoshihikari2mediumhoshiyutaka, leafstar3medium to large4large5TG/16/9(proj.1)RICE, 2017-05-05PAGE24EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "56" \f C \l "1"56.(*)PQVG|B92Decorticated grain: colorwhite1light brownkoshihikari, takanari2variegated brown3dark brownleafstar4light red5redbenizomemochi6variegated purple7purple8dark purple/ blackmurasakikoboshi, sayomurasaki9 TC "57" \f C \l "1"57.QNMG|B(+)92Decorticated grain: alkali digestionnot digested1low digested3intermediate5completely digested7 TC "58" \f C \l "1"58.(*)QNMG|B(+)92Decorticated grain: aromaabsent or weakkoshihikari1mediumsari queen2strong3TG/16/9(proj.1)RICE, 2017-05-05PAGE25EnglishfrançaisdeutschespañolExample VarietiesExemplesBeispielssortenVariedades ejemploNote/Nota TC "59" \f C \l "1"59.(*)PQVG|B(+)92Endosperm: typeglutinoussayomurasaki, benizomemochi1intermediate2non-glutinouskoshihikari, takanari, momiroman3 TC "60" \f C \l "1"60.QNMG|B(+)92Endosperm: content of amylosevery lowsayomurasaki, benizomemochi1low3mediumkoshihikari5highhoshiyutaka7very highkoshinokaori9TG/16/9(proj.1)RICE, 2017-05-05PAGE268.Explanations on the Table of Characteristics 8.1Explanations covering several characteristics Characteristics containing the following key in the second column of the Table of Characteristics should be examined as indicated below: (a)Unless otherwise indicated, all observations on the leaf should be made on the penultimate leaf. 8.2Explanations for individual characteristics Ad. 1: Coleoptile: anthocyanin coloration Non-dormant grains are placed on moistened filter paper and covered with a petri-dish lid during germination. After the coleoptiles have reached a length of about 5mm in darkness they are placed in artificial light (daylight equivalent) at 750-1250 lux continuously for 3 to 4 days, at a temperature of 25 to 30 degree. The color of the coleoptiles is observed when they are fully developed at stage 09-11 (about 6 to 7 days). Ad. 11: Leaf: shape of ligule INCLUDEPICTURE \d "wordml://76.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://76.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAHgAAACTCAYAAABF592TAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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1truncate INCLUDEPICTURE \d "wordml://77.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://77.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAJYAAAClCAYAAAC+7wThAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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2acute INCLUDEPICTURE \d "wordml://78.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://78.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAH0AAACcCAYAAABSmKQCAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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3cleft Ad. 13: Flag leaf: length Measurements should be made on the same leaf.Length should be measured from the tip of the leaf blade to the leaf sheath.Width should be measured at the widest point of the leaf blade. Ad. 14: Flag leaf: width See Ad. 13 Ad. 16: Culm: habit INCLUDEPICTURE \d "wordml://79.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://79.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAC8AAABiCAIAAABPgx1JAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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INCLUDEPICTURE \d "wordml://80.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://80.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAEAAAABaCAIAAACHRsd0AAAAAXNSR0IArs4c6QAAAARnQU1BAACx
jwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAXGSURBVHhe7ZvtVes4FEVh6ggNQANAA1RA+gAK
gAYgDUAD0EegAKAAoI/MhnNH42dJV7YsvyzWyv5hJFuWde6XnAD7m81m7zfzj/38tewEbJudgG2z
E7BtdgLyPD09WWtW2IlngskfHx+tMxvzhtDn56e1ZmNeAS8vL9aajRkFnJ+fW2tO6gXc3d21StPl
clkdbPUCCI+igCEKWTrDqoNt3hwYwtfXl7WqmCTA9/vAHNiagOPj479QZIpkBRCXvoEPDg6s5TL3
VpAVQJFZrVbWmcBAnfjTWnmw6f7+vnUCtiNH8BZweHhonRSvr6/c7rwscMmZP6BUsU4ePS5ekpcD
7+/v1kpxdHRkrb+CFnNzc6NuICtAPn1+flZ3VhaLhbXyaEtJRJp5IgVX/ddJpiMArBMxMIQY40wS
yA3zQogb/K10YIJOR8tQtvTwBGBgP4QY4CssovkTgfEnqsWjBWBgf5uc7gHNX5wHM+XypOABjsWd
6O3tzVrjkQeSpu3Cln9ycmKdPyl4gKPzviCFU6JoyIsQWyrHnEhPAPhp4Lu+1UuELFgpAMdVvy0O
yRBE+vFDfOJhb4yV0wzFWu5MMmQfYACLs04KLX29Xls/ouCBIr79JkL0qv7kMhjKOcDR3w18nEzQ
JWcTUHnwbVQQoDgupoGj0CliuuSkigQ45odyCGEAp1DKftWJDrkdCv9o2kkeAF7BHQGynzPAQTtg
zsDyz/X1tbo5ygLOzs445pYo89SVfP/zhp5YLBJlAX4IAs9IBrqTnQFnDHnF1eLHprIAYInaz5MQ
YxxjFxU3Mm7JjeESCXB5eWn9PIMEYAlsnIsTfczLXfVLcC6DZY4hPhzqAY6xjQOsI1cu/QKVi0+e
xUOLPoRBApgIYzgCWMfYzc4Zr0vF9BUJAcn3e2VqLk7wQNLSziI0Phkkq9WKCesFJBNf0+XiRJGQ
NGpOs/yZDBIuFUtfYFAIAU/CKrkoUi4mnZDTjLCkjf2PLzFDBQBWyZlTBnOSJCYnTJPMIoBJ/TSw
1gA0SXwL53nExcWF9QcwTgDH3De+Sf/kCrnMHwf6WPPDCAHA1E4axFGhHI2TO+dGJkfz8AyG0QLI
1GS1cdIgTm5J7VmaaTk/avUwWgDHpIDpaNpR8QPjBAAPeHh4sE4HPXj4l1x6Beyiaef1ABCjznt8
75KSOPYYkdbbLhnDvaPqjxgtQBZKvl3jhF52Kol7OZAMlYr6I2oE5LbkZCGK1xTnNLKpzmPrjxgt
AHA0C41LoR4fa+uFkG7s7mLV5v/GvuAaw8fHBzfe3t5avwPnkWedH7Qs6/ygQLfOD4gB64ykRgCw
rOQjCYPe+VgAAxhmnc0GQ+TMMYRKAev1mqfGv0GTdXGR9VMC6HLSOtPMDzU5AErluBYpDeJUDvTC
nY/t5HRF9fwfEzIeub5rbIGwroF731Hriyq5TrnUDacKKj0AsmJcc3BC96RqTq9k6V692Dpf2AzC
hFTBOuLw7XlGHghf8NMOt9CYaH6o9wAQu0Rw79f/2n17aaDNSxuC8gTDczIkQz0mpBZMyCS9TOBM
SAN5QEGvti5h/uCKKUzyAHSjOcDJeJ+G8BYk808qPgETMgG9GFvnB6lSu+sBnScf4v2umqkeAOVA
t5hooc5LERnSxvxgQqbRc4L+OAkZtIMHdJJ9QPLoavBEGngA7u/vOQYn6MNKLw30WYfV4wdCqNXf
S7URQGVkZVdXVyFs6PYqqeJnuVy2qZ4B80QLtCyV1BA5apC4ZO338zobWRNaCoDv2r5YoAFYK5KC
gJ/Ff8MZG92CxgJYtzTQZvU0JCBAEmtkKxoLABmb1eulSFu1aGt70V4AaOm9Sj/H6mEWAdCrMzOt
Hhr/O25399WnLev8B0p62qYiHa1Q8MRwXjmt3LDRLWgfQoQ+C7WFZ2iooXEIsd2enp5iZrBTHRCm
oKI0JX+9V8HuX9K3zU7AttkJ2Da/XMDe3r8BTXV3fBga6wAAAABJRU5ErkJggk==
INCLUDEPICTURE \d "wordml://81.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://81.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAGwAAAB5CAIAAABTH1OyAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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INCLUDEPICTURE \d "wordml://82.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://82.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAKkAAABlCAIAAAC5nVS3AAAAAXNSR0IArs4c6QAAAARnQU1BAACx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1357erectsemi-erectopenspreading INCLUDEPICTURE \d "wordml://83.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://83.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAALEAAABeCAIAAADjWWLFAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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9prostrateAd. 17: Culm: kneeing ability INCLUDEPICTURE \d "wordml://84.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://84.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAcMAAADtCAYAAADDVx4sAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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 ability is one of the most important characteristics for deep water/floating types of rice. After falling flat due to receding water flow, the stems of varieties with kneeing ability start to grow upright with 3 to 4 nodes and bear panicles. Ad. 19: Male sterility 1 - absent: less than 25% sterile pollen2 - partial: 25 to 95% sterile pollen3 - total: more than 95% sterile pollen Ad. 33: Panicle: length of main axis INCLUDEPICTURE \d "wordml://85.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://85.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAO4AAAF2CAYAAABprKS4AAAAAXNSR0IArs4c6QAAAARnQU1BAACx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INCLUDEPICTURE \d "wordml://86.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://86.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAASIAAAFNCAYAAACkHGI5AAAAAXNSR0IArs4c6QAAAARnQU1BAACx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 be measured from panicle base to top. Ad. 35: Flag leaf: attitude of blade INCLUDEPICTURE \d "wordml://87.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://87.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAEsAAAEnCAIAAABubSkoAAAABGdBTUEAALGPC/xhBQAAAAlwSFlz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1erect INCLUDEPICTURE \d "wordml://88.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://88.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAHYAAAEjCAIAAABo8WK2AAAABGdBTUEAALGPC/xhBQAAAAlwSFlz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==
3semi-erect INCLUDEPICTURE \d "wordml://89.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://89.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAMMAAAEdCAIAAAA+XkQWAAAABGdBTUEAALGPC/xhBQAAAAlwSFlz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5horizontal INCLUDEPICTURE \d "wordml://90.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://90.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAALIAAAEiCAIAAADS+R/IAAAABGdBTUEAALGPC/xhBQAAAAlwSFlz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7recurved Ad. 37: Panicle: attitude in relation to stem INCLUDEPICTURE \d "wordml://91.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://91.png" \* MERGEFORMATINET INCLUDEPICTURE \d "wordml://92.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://92.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAASgAAAGBCAIAAABadrtoAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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INCLUDEPICTURE \d "wordml://93.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://93.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAQ0AAAFJCAIAAAAOue8lAAAAAXNSR0IArs4c6QAAAARnQU1BAACx
jwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAHfsSURBVHhe7Z0HYJx1/f+ffXvfJZe9d9Ombdq0
Tbo3U4YyRBQUx08Ufyqg+FNQ/07cC1RQUBBkCYVCoXTvNh1pkmbvdbm9xzP/n+/lVHYLSdskPC8C
XO557rnLPd/39/N5fycuSRImIyPznuCiKKQeysjIvAtE6v8yMjLvjqwTGZmzI+tEZiYh8GLq0YVF
9icyMmdHjicysw1RmPomXFknMrMNgsRTj6YOWScyMmdH1omMzNmRdSIjc3ZkncjInB1ZJzIyZ0fW
iYzM2ZF1IiNzdmSdyMicHVknMjJnR9aJjMzZkXUiI3N2ZJ3IyJwdWScyMmdH1omMzNmRdSIjc3Zk
ncjInB1ZJzIyZ0fWiYzM2ZF1IiNzdmSdyMicHVknMjJnR9aJjMzZkXUiI3N25PUgLwI8L3C84PMH
GJomKToWi1EUmWY1pQ7LTD/keHIR4DghEAx6Pe5ILJKIRX1+9+BgXyQSFaHSEi/O+rky740cTy4o
HMuPj7ujiZheq/N4XTqdAcMkCC+CKKiUSknCOS5BEni6PUPB0DiOiRJGTP3ihjLvG1knFw6O45vb
OmgcI2k6Go8rlUqNUgViEHg+HIkoFMpYNKLS6iRJUCnUNENTJD082G/LSKNJBUES6TbzxHX8/iDL
cXDveJ5TqpRmI4jtvCNJGHzUDy2yTi4ckXDsV7/6TWlVeV5eQSQcMpqMksDjBKFSqtDuf5LEcZzb
7WQUjCRijEJRWlpGU1Q0EmGUSrVK5XSMYyROU3QoFBThfFECLUEkslktcHG1WkXT9MQbyUw5sk4u
KMcOHt3x6utt3V1xLq5Q6bLyMg06XVllWVFeARh6lmUT8QTkYKANkI3NmoYRhMliwkTBoNdjEu73
+yEQBQMBiqHUKtAOEhgEHrVaTRKkSqUUJVGpUKTeTGbqkHVyQREEieP5M61tj/zpgVHHOCtyEBY0
Os26jRsz0rNHx0ZFgScInFEoQSR6EIdWC74+Go3b7TaNWhMJR8bHxyOxKJtIZGTYtRoNL4k4hjM0
bTCZ9FpNNBaH/6beTGbqkHVycfAH/UcPHdj1yiu9vQMxiCBo12WS5RME5GE4ieFSRWVV/crl5WUV
XCIO94ggKDgAcWOgd+ChPzyIM+TNt306LzsXXD7P80qFEhwEpF5gIiRRstrMCoZJvZPMVCDr5OIh
YRzLesbHB/sGT51q6ujqGHeORaJxnuOQYyYIjV5vsqUZLMbLL7lErVTzLEcpaLAur7/82o7d263p
aV/53/8NhaJmsxFlXwwjipCD0fBCmqRsNrNaqQJppd5LZnLIOpku+APBGMvGYzGCwBLJnkinczQW
jarUGogtIi+dOnZcqVbHIpHG4ycP7N/D8VxRUXFObgFogyLhHwqs/9z5CxQMTpGkVqtLxDmVSpOe
YdOq5dgyWWSdXHziLNfc0cGLot/r0+t1CqUyEokEgiGT2YQMjSQJEERwfHhgoKuzJxGP9bW3O10O
AowLDodw8PQkjtItgqRohcKenVu7pLYwv+Dwrr3tZ07nV1Ze/bGPlRcUaVWQm8l8QGSdXDjAgvC8
GPCFQqGwz+uhaAbciNPpPHpkb/9Aj8liYRhagrtB4mDgBV4YHhnq7uxO7jaIA8l8DJcwkSBpm1ln
z8yMJbi2tk64h5IkkgSFcixQVdLK0BQFv5A4IWEgH6qwuOiTt95WVlYqCCLHcmqVgqLkoRjvA1kn
F45IJHbs2MnH/v540O9JJGIkQUAcyMjJ+PinbqbRQxonaRADRmBGg0EQhM7eoQd+/mNeSGAgBByH
0q+hFelG/eLlixs2XYYRjMvpuvfb3wajLyBJSLiIVIRBVCEwkA2cP+FPIOTgBG6y2Asr5oe9wYBv
PLew6CtfuU2tlFuQzxVZJ+cXj9c3MDw0ODTiGHdARZ6Vni7EouFgNJqIWkzmUCRsNpvT83KVCoVK
pYbkKc5xPd3d467xgb7BzjOtXCwMZR0OFhUWF+YXrl6/JisnB1wKpGP7Dx/d+tJLJxsPiQKP4wSo
DtQE2ReYE5vFunLFCr1e73V7wLR43B6v3zs+Pp7gQX0ijokqneaOO+9cUD1XtvnniKyTqQfypP4B
h8vlhSJ+YM+exsbdFoNOpVbZM7OXr91EUzTU7vFImKShxidj8ZiSUUSi8Ugo8dILW3p72zk+DnfF
oFaVVRTPW7wov6Q0JyffZrJB0pV6A5ReYY/+5W9PPvkYy3ESGjop4ZBGgZMBl0KRGqW6btmKKz56
jV5r0KuVep0WjoYjYbd7vK+n2+d293R2DA+MZeWXVc5bULNwXqbdikkiQ0OqJvPOyDqZMkAesXhc
qVAODY/d+81vCQJrs1rTrJa1mzcQNKNWQ5qjCofDKpWCphh/KAg1fSgQgsJvsVldztHHH32ytaUJ
w7EldQvXrFydX1pittnBesBp75gg/evpFx768wMCLqXb7RCx0EAWgRNBLxBbcMliSiMZZUll0bKG
5TXz5lstZpL4r85AWn6Xq6+je/fefd39g6RWU1hetHDh/Lp5NQpGTsbeAVknU0MoFH3uqed37dm2
4ZLLejq6LXZD7cIlKpWKohieZ9kEp1Aq9Dp9KBJSKVBzFmRcFMmMDo709DYPDo50d3ZBYIGsCCMI
i1GvUKoJCcwGyqOyc7IvvfzqZcvrGbAdbyAQiry67eV/Pf20x+MRkYNBHh7ZGwmDjOub932XIinH
2Fh3d4djZAyyMpphrrvu4+WVpRT53+vw4H5YfmBw4LVtW880N6WnZ9bMW1xcXFJaVayS3csbIO+9
997UQ5lJ8PQzW4/ue2XhvMrtr7xeWJi1cvUmFup2CRNELhSJjzvGoRhDIU7EEuAWKJrZu/vgy1u3
h4JD6y67fGhgOOZ1xVARl2rmVXzylk9aDdoV61YWZmfk5WQcbWzau2/Pme6x4tISDsM5EVPSJLyj
UsFUVFRmp5m7WttYDqo7ARfBzoMICIkgMorLFVpdNIE5xv2NB/eNjAyNORzNrR3eiMhTCn80zuO0
KEo8hqlUjMlozC0oXFK3eKyr/aWtL+3YvUNptFWUFn+YBwi/BTmeTArUZIthvX3DRw7sy87LUqp1
nS2tZVWVao0GKmmD0URRlNfn1WpUOAY1ukIUxXgs6vcFXt26NeD3XXbV5Qpa09PbtaR28V//8pfh
0cHl61ZfftlVgUCAoZg4zzIk86ff/iYWiTIqeuXGTfOqqsCC5+Xm6bVaeF+IIQIvDHb1Pf3cM3v2
7krwLIcakSEXExWMiiRJEeKRwHGQjoGBwXEaTZ9kIMRBcqYxGC6/8sp9Bw6YTKYFNfMK8/MoigYX
BfnYscPH9h46sPEjl29ev8FqlmdZImaLTqDIXPDab2zM+/xzT61as5qgqb7ewfaWxtUbLosn4gSO
NR4+8crLL4AqoMiyPHzDEgQXSKXAPECOtKSh/iMfva63vVero3Ny8iiawiXc5XQ+/8xTg8Ojqzdu
qqqq1GjUAb9frdVCHFKpNOFwhE1AasaGoyGw6RBb8nPzCAJPJLhoNMoLPLz2uef+FU8kwMujt8Hh
LUWkJRx1RsL/BRFDbWJo/Bj6VRQkgiRASPAvydBGvWnx0pVzauaWlBXbbRafz/PSc8+0nDqzZMXa
DZesB+uTkZGe+rM/lMjx5APywpbXgmFPTfWc7r6BvXsOqJT4lR+5Gkq2Sq1WKBRel+uB3/8+HAoR
BJRz1KkuEhIJGVGyXmeUGoslbcP61SvXrOd4Hn4giYpGY1wi8fQ/njx28qjRnKYxGAURjR1WKJVQ
3BPxBGRW8WhE4ARrehpBE/l5eRAmwJjA5SHbEgXx2N49UVApeg71PEJaBe8FuRhSDLL5kJFBHggB
MPk8z098HPgdCgGSD06SNG2wmDdfcZlWa9CoVTaDof1Uqy+eIBhs/vya5UuWgtJSf/+HDFxI6uRC
V8UzlkgkfmD/sb7+9qUNy3ze4PP/fLxvcLh8TumGjZfZrDaei4sQL0QBJ6lf/PSnLscoFFoUU1Cn
hUDiJMMoLDZD1bz56zdeqlSqWAgHLDdR0DvaOqvmVjtGR8+0Nc2ZO7/x8NGdr70qwMugZEMkQvW+
AFECziRw0m63br78UqPRbDJbNVptwOsJR0KWtPSAP9Db26vR6re//LLP4wSpgERAKSCa5FVQAIFP
g5wTz8GVkdIwCSLM0oYlVmtaMBTZt2uXAJqG9yLJ8tKKDRuv7OrpfnXbForAP/v525cuq8/OSfsQ
lhbSaCqOcNHC3OzUEzLvybNPbtn2ryeKCjM5lcnpHl+ydFH/6Y7Vm9bm5uVDCUzLyqEogtZqeYnY
89rr8XgEQ/U51OM4RZF2g/HmT9247pLLigqK0VRehQqKr1qtFDA8zCYee/TvI253cWV5TlGhyWKR
ovG2000gMQzKNNT/IBERgzofUir49SPXXPmxG2/JLy5LS8/Q62yFRQWV5ZU5WTnFhcUMpgj5/d6h
MUqSGJLUKGmtAk111Gq0GqVWwzAaCGcMAyJBAgLPj2EKSrH5imuyc4rTzOmnThxjIOIRUIFio27n
ocOH2juaBQ6sD3v8xPHDxxoLyisy06ypr+NDA/6de35oTFPccN0NtrS0N7Swy7wDsRjb2trK0CQn
Ej/7yY/C4UBmQW5FUcmGTZugohckESLDkQNH9+zbGY/Hwn6vyIsELuI4lWZPW16/srqmxpKeDrmT
WqOFwAJ+A1x1OBIZGR558KE/hjweeAtahcSTnmn/+EevhwQuEeH+9PAfne4x9PagFkmiabAzTA64
iPRMj8sFEeWO279kMZkhyvBghHDQEhGPRNk4kGBZFrIqQRAgbdNqNTGWo0gIHmhg5enTLX/5y59i
8ShFUZs3X7py7Tp4bSKWGB4c0OkMkiCEQuEtL73Q09MFz0MEQgvBSBijVFTWzKlftnxlfX12ZjZJ
oZa3DwP4PXd9r6PzFEmSl119zdr1G6wmPU3KankrkJ/s2nGgq7Xx2ps/wca5WDx+qrX50Qf/GE/E
aJwsq6gymKwGo95sMm1/eavP70ZBBMeUCmrJsiVzF9eZTOnxSCQrN4fGSBEchoR7vQEJRwY9CmWa
jf/4B98HaSGvDe+FYzRJ5GZlaw3WUDjSP9AtcCw8TxBEZWXJFdd+TKszgt3guITX4xP4RE5WftWc
SjbGUwpSr9NBXSeh4WDoJr5H60YkEj14cGdvT9/A4Gj9yjVpFjN8YvBKQwNDaoPJnmnnOI4gpJ72
5sHh0VdffDkaj0u8SFIExlCkiK9cs+HmT3+6tCD7Q1JW8P9378+OHN8LVQ4N3wFFVdctvO3WT2XZ
PtSNG2+BZfloLN7f2V5SWa5QqAReGh4b+dkP7x8c6JAEDNWpOKZRqSoqyhctWWq32gKRoNlgHnc7
tXojo1ZD/U1SFCgADAnkTTzPh8MRQWC1Wm0wEOobGhweGjm6d9fVl1+m1mpQaxVGqPVadzi69YUX
xscdUNahvEKNDqHgs7d/sbKiOgqWPxyiFcpwMKDWaNAQYZo2W6wUjqWlpUGKBXW/RqWkSPKsrYCn
T7WeOXVKwIWCsoqmM81GowlUdmT/AW8g5HI49Gbzpks27925t6P1JEQUSPxQ+xhBYZIIlj/Nnn7b
7bevW7WKTo62nN3gd3/tvpYzjfDtUDTNJeL27KysrJzlq1aZDEaLxZCXm5s68cMHFLJ4nCUoIhQI
R6JhpYIxmMxOh5PjuZ6unmf++fi86oo0e4beYLRlpOfk5plNlonmIH8g4vH6OzvbjQa9SqWKRiMK
yKYEERxCJBYRBWFwcJiiGShc+3bugnIqCHxGlr2ubqVeZ1Co1XqjzmzUdbS39XW1nTzRHETr3/Eo
+RFwvdFQVTXXZktTKtWZ2VlqECGO8wIXj8X9Pm9WVjbkBf5AwGI2G4ymOZUl9DnnRSzL/fYXP+9o
PQVvFI8lGAVNkBTHssFwzOv3s3yyKVnkFSSjVDNqpdLtCwmSpFKq6pYtu/qj19VUV0JCl7rWbAS/
4/ZvdPc0U0qFklEzAk+qtX73uDEtrbh8zhUfvayioPDDkoG+jVAk5vX5IZVXkkQ0nsjOzeLiiX17
Doy5/EMjAzWleVdee9071tZef3B0eOjBBx+84aabNGqVVqcbHx222NJCwWA8HLVnZfzjsaeOHD0A
OsREHvVykGRt7dKTxxpJEh4SYMZv/tQtdluaXqN78m+PvPzaNp5lBQzj0WKROE0QHEQQDDy6Akcd
IChigOeAqAW/kiRU9qgtGkzM1775zeo5c9SKc12siE0kBJ6HC3Es6EQJZQMSwqGe/t/ef/+gy4Gm
I/Pcho3rP3LV1VqN4Q+//+Pe/XspHKcZpdFku/6mT9xw7eWpC81GPqTN4TIy7wty8aKlHt841CU4
xq+/bLNWpWe0VH5eXiISfnXr1lGnY35NDWqL/DABFb3L5R0Y7Pe43ColHU+Ap2VDgWA4Ej99+tSB
XTvSLPobb76FYf5bVUO9fuDgYZfPu/31HUeOHjl4+PDwYJ/dnuH1eKKxqFqjgxP27NnX0tne2d3d
3dkZDflRcwmBkZikUDBmi2Vx7cL6ZfUbN2+qX7rMnpZuNpvVGlVJaXlGWlbdkiXzqmvyc/KU4Doo
NEcR3hB+RJ4XJIgu4Bsg7AkMQ1VUVORmZVXOqYCE2WA0dnZ2DAwNDQ2PJLiEglYIyeWLIRZBaAiF
I+FwmGEU/+k6BBNFw58EAUKphv+CzwFDZbNn1K1YZTZY+3t6YolEXkFxWloWrVBhvORxO4KhILw7
m4gRpFC7cJFq9k4txr/4+f/t7D0DSTNqJIHfCfCElMlgnrOwhhTx0ZGh9LTM9PQMg9m4alW92WRM
vW5WA6b59OkWMMqRWMhgMHo8PqPRAOn5c08+d6rpSElF0d13f8tk+O/Ap8FR15nmllDQ29s7fGDP
jsw825yyCowkFi1dPjLklDBysLfb43b53GNWi8EAX67VykGSIwpKRsGyrN5sWrvxEpslLXW5N5NI
JMB1UGgeL6hRSjYDhEZHhr0e59jwkGNsPBgMxVm26fQZe3bmDZ/4jEoJ14xbzSb4wM//47He7g6l
Ws3z4uZrbgA3xVC4Fi1fhI07xgkCH+zpqqxZnJObZTGbqPds5+zp7frrAw82njzFiVJubv7nvnRH
OBJ58Dc/Hx0ZJdE0Mbq4uOj+X//GrNemXjC7wD/3ma/0DpxBC0FzPI6LkNxK8B8JU+lVq9asMWuM
Ttc4VIcO53h2ft7q1SvLikvge0m9+p2AinMGOTqU6cOnTTakJv+PROINBMZGRtwet0alhtrV63KD
b/B6Pbt37LBYLWWVZZs2XQohRqNWe3xeKLuvv/x6mt2sUuh27dgGpXPO/JoVq1d3tHWeajp1dN9e
hqbmz5+/es3aouJitVYbjsXNpqlcERg+s98X+OX9P29qOQXxRUSNb2qrPa2ktDgnO6uirFyl0oDD
cQ6Pv/b66yIt3fjxjzO0AoRqNBg4QYAHXp+XYzmj1VqQl6t595iQiCcO7d5/6NCBjq72SDQOz/Ac
G4mF585fcKalLRqPZuUXfO979xXl5U+cP5vAb/nUFwZHeiSBRyYRNb3jqBUfWUOoEHG9ztCwdl1G
RqbLMTLc3wfpR2lJ1eLlK8D25+baoWZKXWamAeUJqk8oYeNjDihSFEGAPDhBBBsdDEZGR4cdYw6o
NWiK2fnK9t7+rry8TJbjCktKcwrKc/IKxp1jFEF2t7VEIoHM3LyC/GKFUmnQG2iGEkSJZfmm46df
fO6f4YBn+er6a278hD3NPpG7xqJxt9ORkz/FJQk+PGR3//j7Izt37IrGWTT+kkAr3hEEyVAMSVBm
i624opRjsVMnj+TnFWj1+lVrVyVi8eycXJPRlIjHBJFXqtCgZpIi2VgC9KzXvevNTbBsLB7joXIV
hUAg2HTy+GN/fSQQimCSUF01v2puzboNa4uKZpVa8E9+4rbhsQFREqFugFRVEAQcJ1HKi6GRX8nk
laAYZsnKZWaTNTszzWqytre0d3a1b7rq0nUr10BxSV1pRhENx1CCL/B6A3IOUCmcae8adTjycrJH
Rxxejzs9zaxDmRUR8Lnt9jS13khRRDSS+NF933M4HZDJ0yT1mS/cZrOmhaMxm9WUYDmaVjz/4ta2
5pZYJCRyscz0tI/fdGPtsgbImVLvep6JRKJjgwOdrW19vX3ggnweV1zkIDvgwb2AfEnQMM5zvCSh
2WBlc6ogDVu3ZlWaNU3kBV7kFaBytOx3WKvTD/T1p2dkFBXmpS793khYe1PTK9teNaVZRgZGjhxv
LJs39/KPXFFfu+i9U48ZBH7LLV8cHuzkeBbqEjRoDu4pfJMULrHJNQfAZkoYTdCQy4KBgVKVk19Y
WVUB37xjbOzSyy/Nzc7JzLCnLjbTgD8N/RfHuATfP9gPrtRstjIU7XW7GYVCo9VwnHDw0L65c6sN
RrNjdBRq5VMnT447hssqKjMys1EdIkpul8eemd7T1dvb3bNrx2vJjkIxJzv7a//3rZzsnOT7XGg4
XohEYt1d8Jl6nONjkCIaTSbHsCMYDQe8geHRYZaNokEuEvbxWz6xfNlqqBF5AdJIFYQ7lUYFBopN
JOAKFotep9OlLno2otHEg7/9XUZeZiSSeP6pf5oshgf+9JBWO0vsCjl//qJA2Ivah1GmDmEFzUaA
JAH8Inh6VJRwicAIAWolSYKAC34UCgQUIJZj46GQNxTGJNoXCOMUqVbMjHUH4W+Cv2ViZAfUBZBe
wh/r93khIPT2D8VZzu3ziyIUNv7UscYDe3ZabGkUxYBPg5fqVIr6FSuysrOdo069wUDSTCIh7du1
b8uz/+zu6oBLmg2a5auXf/4rX8lIz5h4uwsPZAFKJZOZmVFVVbmorm7xkiVgkOoalq5auWrx0rre
jh6wXqKE0qb2Mx3HDh85c6YVkgaaIpL9lX6lWgMGhhdYqEa0GnXqomeDpqmCkqJAKMpxIkkTPV1d
9oyckpLi1OEZDv7D+37c2tbs8Xs5gYP4C8YOjXeAKpHlMBLCtEBCHi+CseclnKBwMpmYgSjQfOuF
S+vKiwrZuNjb0yPR1Kq1K1Y1LFcwqKd5egLZRyzOqlXMf0Z8QmGB0h+Pc1BLOF3Ona/uPHRoH6NS
XH/jJ1QqVSQc1qiVkUScIWmdRl1UUixKuM/nDwaDKiXT1dX38taXHIMDkNwrKHLuvJr6hvr5i2vV
Gj2E34nrTzcg7xobGj518tTuXbs6ezrjcPMEuLkiqVAWl5eXl5XOq55LkVRyZxXJ5fG6PU6NRl1a
WjK3ogIKRuoq705fV98fH3yAA7/L8QNDg9//0f+rrqhKHZvJ4JzAh8Pho4cPbnn2uf6h4SgaYTrh
5nkoOgBUvQLPgy0kSNRwD/EFPC9GYsmpcZTRbM7IzLTZM6PRUFZm+sZNlyQ4NiM902oxTp+SAh87
HI6BqYBigUHI5FEMMZsMEDpwCYOqwe8LMArqyMGjLz7/vD/s0WuMYMbLauasXL3GZDKND48waqXZ
bAkEIs7xEbM17eTRptbTJ6Ihn9mqzc3PKymvmFuzKDMjayJGzQhYjms6ffLQ3l3Nx0+NudxQDOBG
a7WGktKKzKw8kEosEva4nWfONMHdp2hF9fzazZdcuWBhpepsWQP4vVdefOGpfzwRjEavuPbam276
xCwYAPbf+YyJWLzp6PEXX9rW1t0RjUcTXEISIajwEETQHFGcgPIEAR015IvwlaK1otBIb8jJ4FsQ
JUalrpg7x2iy6tRqj9ufU5z78Ws/qlMrL27R4QSJJnHQQzQSgzwKCR7sh8+j0WhJkuISnE6nCoUi
DE0NO5yvvfpac+Ph0uLCqqqqgqJSFkVUKsqz7V1dfn8gHouFPT5/KAgZaMjrzEizfv2ur+WXlEJK
lnqzmQbknxzLCmxipK9/+6uvHz52zOl1ClAxohkpVFlxmc1iXbqszpyW5hwd62zvaT5zZunm1Zs2
bLDqTWe9q52nW3/y05+PeV21yxs+f9utmVZb6sDM5L/rrUB+mpWf27BmZcWcmkAw4PeMT8xnQNog
kZwILLkmNErAUAsyRBWSJpOtybiI8hdpfHh4bLCvsrrcPeYMB9wlRSUKtRqEdREbPSKxGMg5Eo0q
FQzH8bFIbHhwcHTUoWSoYCSkhGwJfT7F0EBfwOvd9tKWtEzLpVdeVVRSEYqEzBbr2MjQ43/9a3vT
qZG+bvfwcNDrEONxjYJSadSrN61buXo9MTOb+yaA20JSJK1QmNPT5y1a1LBmncMx7nWNQlK6btP6
/737WyvWrrZm52Zm5VgyMlVG9abLrvjbn/6y5emnKJq0Z2Qple/V+25JTzNZ0o8d2jfc2xeLBktK
StXqc7U605B3nh8fjceOHT2y7YWXWts6onwcQgeYMxy1h0GKz0MeA4ULTSVFQZYgKXQNqIVICYO8
9tqP38jGuPHR/rycfJqkR8fcm6++rKq8nKHB6Vw4wSRYLhCOUhRki1Q8HoVP2d3eoVAzoWDQ5XKV
l1d4PR5bmt0fCL783EsdHac5CC4iSsO0Kg1DMiajuri8ovFooyiiZlWoLNIzrNUL5i1YukxvTN/1
2usbNq61Xzynfp4IhsMer7O7raWwpDw3pxAqyp6BkZwseywWD4YCEH9ONR70B7xWs62ufjV4thib
yMt51y8BQtPrr772u1//RqPTf+lrdy5ZtPANK4fNMN5rHQkuwXa3dR4+fPTw0SPDY8PwpSR4HsQA
vgR1+yZ3PAOBQDSBX9AiHqg3Hx2nCEJvs9isaTab1TPuKCoqFHC6vKLoysuugEOpq59nOtp7f/vH
B6CyhGho0Ourq6sKcnODwbDL7YlFwxqtbv/+fdFI2DvuCgd94MDgq6BpZv2aVes2bDCZzEaLmSCZ
aDCAOt6SAzoUGg38dadOtzz95FOXbF7TsGLVxBvNYgL+0H3f/k5GSW5JYYlKpYLykG7PUKqUJLrF
YPeolpNNtE5bkJ+Tn5ujeqfwwrHcvu17/vnMkyNOx53f+ubKZfWpAzON99LJBMgERyLHjx17+cUt
bRBeWFZEjUSCxIMuINtCK94QOClBAgKlDfwKakCC4IMnzQxNUxSY3LLyCprCcrKzoqGE1W7Nyswo
LCxIvcH5AdxFZ3fnD777Q3/QB3+D1WbLzyvs6+uDDwRJF9SUo6ODIo8WQkEt35ikVihvuvWmq666
jnxzqw54sYnGq1ice+aJ50807r7+kzcsXLgEnO7ECbMZCXN63IcP7N63Y1dHVx/YPIVaVbNw4doN
l5iMOkhaBUHgOeHw/n3rN60rLHzXJuCTp5p+9P3v5uYVfvu73zXoZuT2kWdfDxLKiIJh8vPzV69Z
U1lSnmayJRIcKAdlYDgOqRQO5QoSKmRUoIyh7kiSIkTUZkagjl6Bd4yOdpxpHXKMUxoljkl6kz4h
8MFIxOFymgzGt5TLqQIuazJYIoFwT29Pgo0HgsHhkYFIOCQICVqpGBocEHlORMMOALSpwubLL/3E
zbe85cOAnNCSP6J0uq3jd7978MSRvZ/53GfqljQQFyoqXmRwTKNWl5VXrlm3ITcty+f2jLscg/0D
+/btbjzV7PL7CgsKNRpVfn4BrdKwHK9Uoh1dUq99A+lp6VJcOnD4wJjbXb906UVzq5PgfaybSpBk
Rk7W/EUL6hoafD7/6OgwZF8ELqF9NyW0DBSCJMUEj0OugsZUSvAfqK7R+oQ4nwgEe9o72s60QRrX
cqLJ4/FwMa6ktAhtKXh+gCKu1huaTjX7Qh60bgm67xL4kGAgCI9FgYMPjVrsSCK3IO9LX/2aTvP2
qg4PheI7tu986IHfO4b6amprrr3u+g+LSN4A3Pq84kK477EE53IM8/FEKODt62gf6e/t7eqFqtBk
NMIXGQlHDfp36L+HLzkzL+/UiZOjI/1L6hu0M9DQf5D1hTUq5YLa+fnZGVGv3+cNoN1p4KtMlh7w
KRha4RZ17aNtaySJoFDWAlpKpndQTCEM8Var3moy9bS3el2+lqZWQqm02SxTXs2ARAeHhk4cbYyG
g5A7wecjcbR4KYPWwCLAlaKleNH+U8TazRsa6pe/8QPAxzzd2rPluZeffOxv+/buikYjdpvp81++
3WyalkvywB2Y8q/vbSiVioUL5y9bvqy4IAcN7vcHnG7PwOBAy+lmXZo9LTOTIQlexBUqxdsrEvjK
SZw/duBYW1vn3PnztZoZNoL27P7kPQBjd/p484FDh44dPzbqcrAsi2YCCWhBN+Tr0UOBUSp4gYNs
Hm4lmiUkomUJbdkZhQVFUA8plcrMdFtBXpFCp7aajPPn1kARTl190sRiCce409k77PQ61Wo1wzBQ
nuB2Qd647bVXTzY1wjnwMcHof/K2W67/2I3/KWnBcOShh/96cPcujouDdRF5UavR3H3PN+cvrE2d
8aEH8umx/qHGI8ePtzR1d7ejOcM4fuk1V7Jhftgz+onrP1ZZUpE69T9I2O5Xd//ytz9f0LD47q/e
mdzLe8YwKZ38B7fXs2vn9p2vbu/pH2LReGsOzLHI8ii6oE5IsCrg71GWBtKBmh0lPBQu8RLUMkoF
o9cZ4myCoanrb7pl7tx5Op3aYNDpNFP2PULoAMMOD8KRhC8U8Xv8D/zq5/19nWgNEQnXGzU/vP+n
5f++r/E4/+Dv/rh79zbwqGjEDkkxDHXr527duOnK819lz0h8oQBUeV63a2R48PjBg22nW5Qa409/
+9u3T7sAW7t9+ytPPf7U3Hm1X7nzf1XnPHf/ojM1OgGgHMbCwaajx7dv3918ptUXDkRjMZTZoNxG
AIePei3h/VAuBikRRGJIxuAQEk2yKxMNKqNIlBaVVJRt2LRx4cJaeNKs13/g0gn65AQB3jIajUfD
YZwitjz30mvbt4lcIhGPsQke5KNkmGs/ds31N96kViNzkuCFzvbe+3/y/7weB4gZPrxapbj2ox+7
6mPXfQhtyQcDisFwb19ja6/A4FduXq9LfrH/IRHnnn38iSeeeXL9R6784m23TWH6cF6ZMp38h0ic
bT3d/OQT/2g+3ZzgOIqWeDT+Q0ITXUUBdVBC+YN6nICMBuSF+vJRlz1apArDkxvUUjSt1mk1Wr1a
pfz5L3+m05zr0O63EI7EWs60trW25uXn6Y2mJx5/srurPRENg1JxHA3rknghvzD/Bz/9qd1mBzXG
Wf7PD/3l1JEjbs8Yz/IgDEZJX37VZTfceIuClrdgf3/4/cGHHvxDVl7eDTfckHrq37jdvu/fd188
Ef35r3597uORLy7vw8cLosSxHJTp1O/vAk2R2VmZtXW1eqUi5PNFonEe8hteQmlMcg1oJA5UVFFw
QS2zaK80AjSEui7hLNTCLLFxNhaNJ9i4UmeLcbzZZKDfT/MxL4gxtPgDKJDieXDqFEYp9+/e7XGO
CBwPJ8B7QYZNU5DpXb+gphYkEYuzg0OjO159dXCkX0TLBaEmvHmLay+/6jqbyXzxRt7MVMD0L1qy
5PiRYzFegvLwxi9QrVbBfTmwdy/Li/Pnz0s9O715P+3C4CnOYd20iS9ErVJXzZ3XsGJlSW4RmJBI
KMLyYPUgDUMaQb6FotAQfdTahMbDwDlotiqJOvshE+N4nuU4lk2cOt64f8/OYDySmZmZYFk4CoU7
+Q7vDIjZ7fWHwlGnw+Hxe+KJRCgY2H/w4FNP/D0Y8II20CwqpALUc1JcmP/ZL9yuQdvnil1d3S0t
pw8fPMChGa1ohgp8DOe4q6e3q27xYpVyps5wvohATlWYX6BW0EdPNkO9ZDb+d+WNnJy8w4eO9g10
bdi0+VyG6190Pki78DmC4zjUHAUlhfWrGpbWL1UxpNsxzvLcxAwpUUAVNpoERoBblgiahCwIh4wM
NTChvXXQORBjBCEeS3SfOfPK1ldffmmrgAlz59W8W+XOsvyYwy2JXCgcAiU4ne6f/fBHe/fuHerv
5bkEiAQCCVr1Hd6SJCxmw53f+kZeLhoWMDrmGRsd/ufjT3q8TvhkYKlI5JxQ87FGyaxcsw5kP/EW
Mu8LpVqlNxiOHdi97YWttozc9PRUqzpJEnqDadeOHXX1K0xG/cST05nzqJP/AH7daDAsqF20evmK
DLNdYMVYJCqAGpJaSmZi6BGoBe1aQKK6HP2C8jOkGZSNocYzlkuwI+PO4y1nhsZHiwoLmeTSo/8B
Dp1oanaMjYIPcjk9Xl/gH088HnA54eXwLhN5FEQR8I0QlEw6/ZfvuGPhwjpQQigSb2s5/fq+vb2d
rXAaWKXkJwEx4QoFs2LVykWLl5ynQQMfEubMnVdRWjo6OCgpaP2/G2ZMJvOh/Qf3HNo7d/5cg87w
bnXfNGHqffx7A6WfTXD9A/1bX/zXwf2H3R4vB2EDRCFCAIAYgmNMsvMFZAQCQz4CnD3apAN1y6Bd
RNCoRIKkSkvLl9bXb9iwwWozk0gG2I7tO00WAyfwDKN4/unnu7s7KuaULFy8RK3WQoL3h1/9Nhz2
Q8YFVZlSQX3+S1/YtPFyiBfw1qdbwOq3PPbXh+ETJFtf4P9oqjPocN0laz592+1Khbzz7dQw5hhv
bz1dt7R+Yoz9/v2HfvyD72s02ju+8uVlDQ0T50xPLnSrHFQbCgVdWlpyx1e+/u2776wtKzOptAwN
9oSQeJGD8s5jaDtBVJ+jUZZgwQU0ZgyNTRYJNM0FfhLxxJn25l37dnO4EEhwQV6MitKcBXMVlnSF
OT0kEGOjYwvK8jduuDTdmmEy2jgWj/MsBE8kEpq6ZOPatWs2T7RIJlg+JrLgnuCToSgmYiQas0bR
JGnQay679ApZJFNIhj199dr1/5mIUrtgXkFWjj/gZanp3jp8oePJG4FqOxwInTp+evf+PfsO7g9H
QiiooAQJTWpBzcZo4RecB0sByoEEDCOhnkflW4ITcAWjtBcUKBUMGI+srIxEXOhpa0PzV7nEmtWr
rv3Y9XqdPpFIxOPxna/v/uc//w4STbNZr7ziyrUbNhr/vY2tx+O/9zvfGxjqYaMRyMtAIsk3IFUM
fd0N11/zsetBsBNnykwV0Vhc4DmaUcC9e/6ZFx9+6IHq2prvfff709nQXwh/8m6AbVCoFHmFucsa
6qGmaW06zYk88s4ESsPgASgG8iKGRi1jAosGmECelJz6AomZkEhwfo/b43T5Xc7Bnt7RgcFELFpe
mn/FlZc0rFylUqljsQTP853tPU/98wmB4+rrF339nntqFtWB7phkTzBc3OPx7n59R9DvhrcDjYBB
oglawVDXXHf1NR+9UbYl5wNInqEeHB4e1usNeYV5Ppf72JGjVntWUeH0XRrvYurkP0AZzcsvMOks
zaebeRFSIORTkv+F+IHGHcMPmmCLJurDMxhU+0lfjsJMsnSjfAwNx5TwrML8nPySMaeTZtAYb3jl
1pdeHuzrtmfYvvGt/0tPz4T3IkFvaHAm5nL7vF6v3+kuLy+tmTu/q6sbNGow6m644carrrkObufE
x5OZWuCOwQ2AaB8MR3Qa9YKFi9pa2vYf3Lly9Zpp2/4+LXQCkAReXFaUnW1HYSEah/gBPh7EAKUa
NSODbUBVO+RAyZ0+kp0byPxDREDNUxAa4FcBnM3Y8Nixw0dOHjmi0RtJSh2Jskf2HYhE/Ld8/tbq
OTVwKdDHhEg4Tmhpbo1FQkqNYuHiRbRS23Ti2Lya8s/dccfSZSvkSHK+gSpJFPhQKKQ36CCq7Hjl
1ZLyyuysrNThacZ00QkAZTg/r6CmotykUA4PDnMiGjEpYgJOkCKkYBSJOvOT/S0UToOEQDIQYXhO
YhiKQGP7k0YCDYeBpA3rbO08eGD30UMHggGXJd386VtvAz+DBpP9m5ExF8tGFCotvCwrP6+nvUtJ
cF+9+1sZ9mwUo2TOPwzDBEMxXKFMt1g6mls9fKJ67rzpuYjRNNIJAscMVmtFzfwFtUu0OpPX543F
4vC9URKJMise9AKlGsI2cvUUKAZyKCqZRaGeF7D+4PjhW5Z4XgSxwAM0LVWSNFqNRm8gSMJqsaTe
CJKucXcoHEKL2UWjJNpzL7Hx8iv0aINCmQuHWqUKBQIKJeMPRJ594vHKirLMjMzUsenENNNJEijQ
ZqtpwcKaZQ3LLHpVXna2zWyMBMMCWkAaAgpqI4asCBxKcsIVKAeZe8jGwILzEo8TGAkhB3wN8i+o
JyYSCh85eqzxWGPF3AWBSCwQjHjdPo/HDSqDFwsST9NKgiZLS4plkVxgoH5Tq1VwQ+Fe7tm1MxFP
1C6uO5fhUReYi9kufI6gwi5KXqfz5LGTrWfO9A0P9vR2hyNhSI4EAXXhQ+wAEwPxhsAINLAy6f/B
tgiiRFE4CjEgHQkSYlKpUBKkpDUY7/jyHWAZ/V6f0WKiSLK7ozs7L3NR7eLUW8pccLzewHfu+VZC
iH7hjjvmz5k33SqsGaCTt8Dxwu4dO5958vHRcWecZTmBR0t+YiI4b+TkcfAmuCAIECrgSXD9pIQL
ICK0eQNEDzSiHicJtUIFoWjpiobNl1zuHHdAlVZTM18zkxdim+mA3/zXc8898peHbTbbN7/z3eJz
3FLiQjEd8673Bsp3UXHRqlUrKwoLY8GwNxRGlgQA+yKiZV5AHCT4GJAFTYMo0DJ1cBSZGbSWEpwr
CFic53ieExmGo9RD4261zlCQl8dMv3D/4QHqL61Gu/2VbT6/156dVVXxtmnDF5WZp5MJFEpVdkHB
gkV1dlvm+OioP+BHM3QJNOhEgn9wmsRINEYMbY9DoSZkyN1AJHA3UKcIaluGTCzodne2nO5tbcrK
Ss9Iz1CrNWB4ZItysaApxdEjR5evXdt8umnBgvnTap3VmaqTCZQqZXFZcUlp2Z69exPxGA8RBU1B
QaPAeI5DK22LAkmiAWNoSWSShKOo5RhsDcQZ5GRwyOIkXuzp6t2/58CRI0cX1i2iGAWoSW4avvBQ
NDXQ23Pg4KGA112zsDY97Z03dr0ozGydAIkE99rrO08cOwpePZFgUdiIo4mTyWZjkqFo+Bd1WKIx
xcndKVC3PUExNOpxgaiC7L7IcmwsFvKHfSeamre+8nJ7T2d2Vo5RPwPmRcwmoGoyGdN2bX+tuKRE
a9AXFxUnu4WnBTNbJy1nev/w6wdff/UljkugKMIJBEmCK2FI0AcF/0DqRUACBlaf5+FLBycDxiRp
YuB50EjyKiAdAQ21FDjB6xwP+dx+pzfsj/f3jZIK2mKRJ/1eOPRo03DT/t274nG2omrO9Jk9P4N1
EoomfvLjnzafOcGycQgMaIkhTKQYpigjvaygsCwvT8UoPUE/zVAiL4iSRNIkiARtUkGioXigFFbk
oBJDPfjgYEAMYE5QvMGDiWhfb2dz88muwR5JrTNaLFpGXkfiQgA5QGFhodvh6RrsKy4rz0yfLqnX
TNVJMBz9w28fPHH8MBR9NCkeE0UefDq1qG7hp79we8mc6suu/ahGbz565BAa4EISLM/TyaGUEERI
nE52S/I8C/GHQFka/CbA8wS6jIg2+ERdM6Lo93iaDh86sH9fT99gNB4tzD+/a4fLTKBQaXZtf7Ww
oDA7J/u9l0O4YMxInQQi8Yf//Ojrr7/Ccwko4oKIPDk4EIokFi5eFA3GWT7BibjZYkjPzDzT0ipw
rCgJFEGBECZWkUBuBc0BFnEBddyTZHIBsWSbMobW4gepJKMMpGs8H/T6B3r7HGMOMD2FhQVQ56U+
h8z5wWQy9vf2dXZ0VVZX6/W66fB1zzydcIK0dcu2fz33Dy4eR9mSIIIRJ3HcZDZ+8Yu3G/W2IyeP
zK+pgcLc3NK29aUXQ0Efz3NEMlaARQGzIZGQYZHJ8S6gLQJjSNAMSAUN4scJGk2QR2Yf3gstYIl2
dOUg+HhcrmA4wChVY+PjHp83zWaT28TOE3AvBB7buWt7fmGh2WxRToN9pGegTlh+/74DnW2tAhr1
iBbNoygiLc2yZm3D5suuonBMQYsGo6mvd/TxR/8aDvrQmHzQBPgTCAQ4pmSohmV1q1c05GVnFuTn
FBQUOMddaLQLmo8PCoF/UKxBu+lDkga/ggxRhwta8dXtdB0+eGjfrr27d+wcGR23pmdaptN2rbMJ
lVq1b/cuozXdZk3X67QXPYbPPJ1AIW5rOdPW1gquAn4jCKKkoOC66667/sZPQt6VnpFePmfeqMPz
yMMPJRKR8pLSYDDIC1xy/RTw6WJJRdm11928fsMlK1atWb5yjdma2dR4nCYBCiITCAnN1EdDxCC2
IBcDkiHQhlpodXvUWgBgAsuz4Xi4r7MrJEJGJ2o0GoaaMUvlzgjgK3WP+/Yf2lM+pywrI/OiNxCj
1tGZBU3TLJRVAvWpg8krKS/8yje+vnbzJVCSlUoFhRaAFHa8/Go44MnOzli7+TKGgTLMJLvqxez8
/Hm1dWggdzKUw7dfVFzw41/+7Oe/++21192oVWsoksbQ4hUkWtsF3gOtb0/gaBFvXEo2mqExY5DA
SZJjeNTn9/Sebv/593904vgJnzfIJVealJkqqufXOIbHHvrdrz0ed+qpi8eM9PEHDxzp6e6EQltV
Xfr1u+7Kyy6ASJLsQcR7egZPnzwZC/tLywsbVq00W8yNx06y8RicbDUbN11xpcQzRoO6qLBo4lIM
TUFYNxkMxaVFVpOBjYSisSgacAzHkv4DLAqqynC0jAUC7Z6PdAKK8Xu9/X29oXi0t6cvGo8XlJaS
9MXc3HiWQTP0zh2vq7S6lavXaN9hC6cLykzMu7Adr+0aGuq3pVlv/cxnKyvmQFiIJ7ju/r5INObz
uONswmix2jOzc7ILJIk4fuR4NBY26LW3fPqzhEjk5WYq1JqszKy3lOeAL5iWmXnllVctXbwsJyNH
pVSEggEOErZk9gVxF0w+iATyMNAkal+GS0sSGmTJS+FI0GDUHz185Jlnn4HkLic7Z5q0Zs5o1Gp1
V3tXd29PUUlRfu5FHj48A+MJjh3cf2houK+ssmLN2nV6nY4XpPExx3e/ec+LL2xRahXz589nBV6h
1D760F9f3vpCKOK3mLTrN19Sv3r1/PkLOjv6tzz/7PKVyyF/S10wiUarhkuRFGmymivmVKxYtWpp
Q0M8FHK7XSATAG2vB+IAZ4/+RV37GJ7cPp9AeyMN9g2OOxxcPN7R1tnT0d3TO5CeYddoNXJw+cBA
RQY11LHDR2OxxOK6uotb9czIeHLowOHB4f6KyjK92ZZpt5MEodNpV61e5Rz3Lli8IBRIPPzQwzte
e8U5NsJxLIVj19308XlzFvYPDGRnZO7dubugOKe6el5yIuS7AjHKYDAsWVq/pHYZxmHOcScaXom6
aZCvR/0w8DmQ10dbUaBhyRJaOikWj0UiQV/Q39PTDfFtaGy4uKhI3hPiA2PQG08caezp61q4aKHV
cjF3/Jt5OoFqpqW9NRTz19ev5DmexBmCIj1uv1qrbzzWSODUthdfHhzoElhOFPn8wpw1l6wuKS1P
y7CXl5f2dg4Z7bqG5SvPcZVH0JLJapq/uLZkbplzzOV2OSGSECQmcCJGUjjaMgIHy09glMBzKMCg
HxLSvHgoGvB5O5qaVUpNWUUVatWUI8v7h1Eo3QF/6+nm6nk1eXm5qWcvBjPSx3d1D/I8t7C2zuv2
/PY3vzcYjUPdbY1NrRa7fu+uPR3dbeC0oWiKGLZo+fIrr70x056pVmmbTnW89PQTK9astL3Pmokk
icz0jK7m9vHRQdSziSfbDETUdQOH0DgY1GUJJ6Kh+5CfQdwR0DBkAUtu6bp/9xGWi0NaB3qmadm3
vA/gJhr0hiMHD1rtGXPnVKWevRjMPJ3EWeHpJ57MzLaDA3nsySecY0P2LOtVV3+ss6NdYsWjR49w
iTjKjtAcEtLtdHhdHnhVd0ePz+O46qNXZ77NwZ8L8Io5lVUrV60pLSoHWYJAErFYcuFwZO9RNyUI
Bb0lgTph0LQwHDIxjudd4+PDYwNao6ajt7uru6OirFxePu99YTQaenuGujpOr16z9iIuqjbDdHLi
eOtDf3q4ra056A86RsbdjpFYNFJVXVleWrH79dd37NgVDAUFXkQ9iuC0SaJ+1fIrLrkCjRcWRY2a
qZ477wOIZAJGyRhMhqLSwqX1S9dtXL9k2WI25Hd7PGjroaTTQd396G0nfD4EHniMiQIv8dhgX3/H
mQ7nuBuT1Il4Aj6ZTifPxT8n4glheMyxf8/O9JyizOys5C7rF4EZoxNBlIZGHf/61/N9A21rli/P
ycw50dSo1mj8AZ853WYwWVs728E9QxHlJAG8O0miahvq+QQmkhTh8fojbLy8rCw5rmuyUCQJtrJh
xari7KJoOBqJRND632itCuToSWpi8jHqj0SRSMLQHkUiHw1HRh0DZVWlwyPD1jSbUqEESYGaUheV
eSegjnvhhRcGhwaOHT545NjRhuUNiosxx2HG6ATK0zNPbWls3JdblFtZPddosQwPjfT1dBtMaiWl
GRtw7N+/C75TNP4EByNA6fQaKLMhj7/3TIc1Ld3p8HScOb1+w8YpXBQdPlJWfs6KtWusGbbB7m6R
RXOLk8tWEDSlgFhCoHEuEk+gVZIIgoCPFwlHTh4+3tnafuL40XiEVWn02mkweGk64/dHnn3mqUAw
QEhi9dzy1avWXZSKZcboxB+I9PS05xXkLV2y3Gy06HT6ndt3ZOSmffWuu/t6h3bueg2NwELLdEEV
JCrViq/c9TU2yo+ODou41NPVCQ/saba169ZNeY4Lpbwgv2BZw9Jly5f4fIHx0TGIEiIa44LGgqH1
kdEqMJiAxlaiaAOxJRqPxBP88ePH2zvaVDqDWq1hFMyUBLrZx6lDjV0tTRCzCZK442tftZr/u6Ln
hWRm6CQaY197bfvg4MCixbVarYHjWIWCOXL4yPDo2MlTLW0tzSg8SxLP8iADNNBEkpxef29fbyIa
g5ejbepJqbpmbn39ivNRGUFg0Wh0Vqs9HIqzbDwWi3Eih8wKvDUJR0EsaGxl0rmgAcjw/3gsrNXr
Al4fRYhmk0XgOL3RIOdgbyenMHf1xo3d3b3DI0NVc6qhSkoduLBMd50kWH54zAnGgyElt8ddXllp
1ltGHOP+QHTH66+Fw6GA18tzHFpKFbXWojKJegAJvLCkwu/0sGwUKncwK2qV+rbPfzbNeh7nkUIh
LysvWbNu3ZL6xUoMdzqccTZBgEAxItlBCWYJHoJi0OQWME7Jjb8Tfb19+/ftbWpt3bN9N6MzWK1W
mqJkvbwRiiI1Ot2hA/t4EatfvvyiZKnTWidQ4I8cO/XMs8/QKmLzpks6zvRQShLS/4g/sHfnjqA/
EAqHoEhBaiMltz9BoQQKJvyDYePDA/FEDO3lSBIWi2X12rVr1224ALkNfASjwbRwcV390npCpNwu
J88nd6xH+oAUDA1yQZPGQNJg9AUOfgU5RcLhjKyMA3v3nGg+3dvfzQt8mi39IjaDTjcMemPTqabT
p08ta1hmMhhTz15ApnVODPXtod27GVxIt6ZByTKZ9WpGpaDoE42nyqqLNlyyWUHSJEWhTR8IElJ/
VBpRtU4oKQZ1lEO9DX+hSCytX37Z5Vde4AFCGblZX/jKF+796Q8XzJ9n0OgUBEPjJHwGBVoxiUJL
IYOHQZ37KAzGwtGerm6D3tDedGrbv7b85Ps/2b5tO5r2L5NEq1Pb0tIwXujt7Ek9dWGZ1vFEFCVO
SPgCQavNmpeX7/cF4rGISDC7duwgGcXYwNCiRXOqK8qCgZA/FITaNznLnZy3oOLGj1/ndLjhSZAQ
lMnyuVUVlZUXZWy21WReUr+0urIs6vd7fD40k4VCA10kkZdwjCaJZA8liFsMxSKMQmFNTzeYzPF4
vLm5mcPI9OxMiqY5XqA/9LEl6A2cONHIqNVLli698Hnp9NVJMBgNh8Mqtcbr9Kq1qoLc/OGx0a6O
nicee9TncVothg2bN9ozc/OLSyKheH9vl1qlqp5TuWb1mqKScps990xru9fjQgmOJBqM5oKiQpv1
4gykY2jGnpW9Yu3aRbV1FEnxbCIaiUIVgCf1gaO19dHS+hD7gj6Py+V2jTs4LgHC8DrHX926NZqI
x2Px7KwslKh9iDGYLSaL7ejhg7WLF+m0utSzF4rpqBOeF5xuH3gPmqZ4tJ0c2ugnNydL5ITnnnmG
VEif/sxnMrNz7OmorlUoGYgnXR1td33rzk/dctuChYsUtOrXP//ZyHAf1N2oVx6nlBRRMacyK/Ps
e5qBfzhPxREua7FZ6pbUrVqzRmTZ3u5uATLCpF9Cq7gmBx8nOx3RIGSOY0FLbrc7EgoOD431d/eO
ubwZmZm6abPu24UnGo66XJ7du3ZIBFVVVXmBs+hp508EUQyFIySJg/31eAOHDxz63W9+vWfP62B4
dXoDzTAajcZosabbMxMJ1F5kMJoikWhxadHiRcsYmoYAYjKbFUoNWml4IqMhsZs+8+kF8xdOXP+9
ee/B9sgBTRqdTnvLpz/ziZs+nWZOU6AJyZAYkjhFQzyZkAlaF0lCw17QukgCn2Cj8HDbS1vuuuvr
Tz//7ODgIPzZqWt9mLClWw16vSAITcePDg32pZ69UEyjeAKFsKurLxQOj42O6PTGgM/vdnv+9OAD
0WjI6/IP9g9Uz52jVNMVVfMYimQ5oX94jGEo97ijtm5hZXVldmY2lLNQOL7l+ddOnTqSXNoLij2p
VjKXXHHFlMxemKpIQ5DEnHlV6zauq6wsVVF4NBLmWLRTHupkAcC4EDg4LSQbkKYksSwfT8TZSLC1
+cxLz2/Zv+egUmuGoyzLabUfoggTDIa2v/aK1+szmS3z5s1LPXtBmEbxxOH29QwOjrkdFqtVYNkh
t7NvZBgiBoQFMOrhiE+n16pVOqvZICmVT2/Z+uhDDzy95SVPLEIp1SxGQ7mBmPO3J576178ei8cj
yRxGgpqaVjFK1XTcbdlkMC1btvKr3/jON7/2zeq8Yp1KRVE0SAgEgybgo84W1I4ciUZczpFAwD9n
8cLc3Dz4Z8wx9Jtf/uRUy3G/9+IvsHAhyYHU2WoXMam9oy25aOcFAi0QN03iCaRJrnF3d2d7YV6+
QqWMJRKH9xzY8vwzPMtKBEaSGOQqmfascDwaDET/8uCf+9qbIQSL8VjQHcjKsusVSrPFIgrSC089
PTY2jJbZTk7TVatVV99w3cL5C6dzX4QtM6O2oUGh0rg8zlgsDvqGokARdHKKiwSfXMQIeOx0OPIL
S9Ozsiia4bgYmPtxl0NBMgaT6UMyrYVSKCIJ/vSp4zzPrVi+EjLw1IHzDAHJ+zTRCRSOsVEH5BoK
FWO3Z3rdrkgkdrzxGGTqJEVdeeWmyy+/KhKNdXX3PffM8yPDvQXZGRB8R53jbpfTMeJW6XXVcyri
MXbXzp0+rwelL/BCkmpYVX/zzbeCb0m9zXRFpVLOqZ6zZs3qdJORi8TD4TBEFUlAm7DiJI5GumAY
l+BHhgdH+odHRoYNFovX5RvoG96583VJoaQYNdSvEG1nd4sYlFe1SnXkwEGP22PPzikrLU0dOP9M
i7wrHudOn+kQcUxvMKtU6GZTjBJcOphqiiLLSosuvfwaJaPwOD3PPPnk0ED7soYlazZdHokmoKbF
eWmgr5OLB8ECq9QKtFMpgdYLBm1cde1VV3/ko8wMmRc10ZF/2VXX/r/7f/rjH/502ZLlRp1BzShp
Av4ANMOFxKHS4CKxAHj7gZ4ux8hAJORZWLtw97ZX/vrg7/7w61+0d3QGQuHU5WYpmVnZS5atInBi
3DGceuqCMC3iCdSWXR2daOS5yEsC1tXeGQoGfV7fmbaW+Qvm3vXNexhS3dXTx4tce0trKBqw2jIP
7N7t8bkgCoFTv/FTN1511TUgDEmSnK5xr9sbi0btmbbPfvH2rKyztwVPKyAQUjSVlpG+YtWKyuqq
RCTo9wchP4YDImo3BvcCpotErccYnmDZvr4ef8AXjkXnLagdHh555E8PjzvdGEXTDGSvCuTRZh1g
2JqbTmRmZ9TVLU09df6ZFjqB2w//pWlSq9Mp1AqT1WSxWqDA93W3X3HllfNrFgwOjhw4uFuhVPee
aedj0d7+vngsikZy4RJD0avWrq4oQ9teEgQejsQVFOMcHb7h5k9UVc1JXn5GAuHFbrfXr1g1r6La
MTjk8/tFtMU3mtoCCiEgxOBoqxYeuX2K5xJd7d2dnR3BYKCjq+PI4UMnT57ClYqi/PxZJhTIFESM
PHboiMGkr29Ynnr2/DMt9sWOx9n2zs5oJHz82Mnevp5YPKpUqiRRuP7jH6urXQJxZnBgpOl0U29v
9/z581Uq7e9+9Suvx6FWa4rLK9paWr/w5f9Zv24DBBOoPqPROMdxwWDQbk+fHe5WlLDm02eaT586
cGBPT08v3C/wLLzAkwQJ5p4X0RQXEj2U4BnUYUmQNE5WzZ0LSisqKrjiI9fYbFZ6Fm1lDLf4e/fe
F4n5f/7L314w5zkt4gnkEr39w119g+1tZzo62nxet9vhmDt/zkevvQ7dezSyGjJSITMrM81mi4Zi
Bw8e1Cjp275w6yWXXl5akLNoyVKFQjmRY4A2lEqFwaCHiid57RkP+rOERN2ypcsaltMCFw2EY2xC
QMscwzEIMFA7iGhGZGqmMQbeH5NEl9tVVFFOMuRLz74wMuIoLC+DIgXKmbjmjAZu8cjo2MED+zOy
8wsLLtA6kdOkvQv3uX3PPPHY6PAgFHc09hyT1mxYX1VZjY7hGMMwJK3kWSEjKzPBiiOjwxsvuWT9
pkt0On1eUQmIZOIqsxWtXg9F/PjJ03UNS6+4/OqykkqvxwMpliSihVspkkJdCVIyDYWvC0QD/5OE
kf7+3q5ev98tYmLTyZONJxv1BiNUNLNAK0cPHQXvytBYQ8OK1FPnmWmhE7izo6OOns5mg0adabel
2SyhcKxuaV1ZSel/akB/OPb8v57Lys4eGRyGLMPldpaWlSuVs1whbyQvJ1un0TJKJicve+XaVWWl
hWGfz+cPQEVCImmIyWn4OJqFg6IMWhZZFDmR51xOVzAQoBnVmVMtbk9AYzIpFIoZnYk5HONHDx+0
WK1r1lyg6fLTJJ5g7b298xcu3HTZldWLFtUsrOts75q3oDonO28iVfD6gj/+0f00Iebm5RIMlV1Q
eORo45y5lQa9YeLlHzYghmRn5y5d2jDWMxAM+kWUgSEETqAkGiNEHNwaGBj0LJyOx2Lh8TGHxqBO
hML/fOKx/rGR0qpKFcPM0EwMLNnrr2/X67XrN2y8MH/CtEjie3oGPOOO4sJilC7EhXgsBhEmPc0O
NePECa5xt3t81GKzJuIJtUo90j9QVJAXCUcnjn5oUes0t3/jzm/cd9+q1WsMer2CUdJQ9JFTAztH
gncReKQUXhDA/HOC0NvZ1zs0kF9QAl7wZ//vh4/97fHh4bGZOBsM6gCj0YwiZrIauABc/HgyPDz+
1BNPQHAwW2xqtXZwZIjjuZ6e3voV9QatHk7gBKnxRFMk7ktPt7OsQNOk0WwaHRx+5eVtyxqWQQox
cZ0PJwoFY09Pr1tSV7twQcTj8fr8IA8x2d8CdczEEvtINijeiDzLe/2BkdEBfyDEKBSnmk7teO31
traevqEhcMSqabAN4jlCkYTL7TnT2lpbt8RsvBDTgC+yTiQRazx+SsT5hQtrVSpld1fv8Ej/qaMn
42yooWG5Rq1hWe7ZZ7c88fijNQvmGTSmWCxUWloWCIZoBT3Q27twca3+gk/ZmYaADswWy5LlK2rm
zc9Iz1AoFQG/T+B4pBUJjQ0jSNSnj1bbSFbBYFrcLmcsGgUhGfTajpaW3v4ej8dnNls0M2GKC8Mw
7W2dJxqPECRRu3DRRFPneeUi68Tl8UP1Vre4VqlUx+Os2+PZuX2vPzR+733fNerQOj1Op+evDz1M
0eKSJUujsVhxcbFGp29tag1GggvmV1ZVVU80HMsABEFY06xV1VUms61h+VI+EnF5PSKy9Cg7wQkk
JwnHQDEi2jJfFAUhGo8ODw9zAmfQm0+dPPHiC1t4Smm2WlVKBWprnq5AwRh3uA4f2Z9TlFeLZome
d/twMf2JLxAeHBgoLSxQKrRwIxPx2PHjJ9vPnNRptSqFaqKSgJwBDmXn5RqNFo1SA8Ie93ooiuBD
0dKyKlrePfSdyLDYMjNy/vcb/7dx+WaTWqdQqGhUm4BeMJKgJDQ+CO1viRFoqr4gcAGvLxwOiJzI
hmMP//7nP/rxd90hf+paaOFzyeFFa5lPKzRaLc/zRw8caek8k3rqfHIxdUITRDgaVutNaq0K0md/
IOwcdQiiWFpR8Z95hY6xcbiF8Xjc7/f5Ql6nw9HT1qrWKi0Z6ZnZ2RPnyLyF9Ox0iqI629tv+Nyt
3/z+j9du3KDRa0m0xgv6EdC0HFJAG7WiLSgwgRBwbHR4iFFQuUWFmVnZCkrx6x//5LG/Pgpfvt8X
DPi8HocDLov2q+DRNNGLjtfj40RepVJFw6GWIyc8Lg9UAaNDY+fP1V/MvAv+KJKijHoNjpMUSf/1
4UdPNR03GjTXXfcxm9UGJ/CCdORI47Fjh1lemjt/vl6ptqSb1Rr90LCjualpWf2yi7Ik84wAbIZS
DSZOkZWZvrhuSc2cOb5RZygUQQsAwGEIJjwvkRNjxCAjk4KhsMM5PjIyGAyFcFyhsxgHBwd27zmg
S08jlJQtLUPB0K4xiOVeo/kiLJ/1FpweL9SkjUeOB4LBgooic1oaF+P7u1tzCwrOk1e5yP4kGo6i
ofG8EAqFn3366UQkvOnKjStXrp1wHYFA6OVtrwwN9SeikcG+frVe19nd29h44uTRg4tqaxYtWvyf
sCPzdsDyUckRblB0rGnp9atWV8+pGRgYiEUjaIgYlCcQiSRIPGoYJtAWrXAfwLZIfrdrsLc3LgoB
j6ero2XHK9uef/bZYCiwdFmD1YaW94Vq+/w75/fC6wk4Xa7m002hkC8SYxOxaG5+Qc3CBeevL+Vi
6iQaS8DPvr2Hu3sHoPTHwt7P3/6ZudU1ZpNlolZwunw7Xt/l97nAiJosFrVWe+roCY973JZm/fpd
dyln+3CVqYWgiPSMtIaVDbnZmRjHeXxejuNQeAETjGa1JdvE4JEg8oQI3j/o83M8W1BYYbXbve7x
tubWXTv2RVk2IyPrL3/8a3qW3Wi4aJ28e1/ftWvna61tzWC0+AQ72NMz3Nu7Ys3qKdyM4C1cTJ3E
YnHH6Fhfd1frqabmluMfu/G6VSvXmoxohYSJE0YGR081Nebn58fjrGNkdKi/XxT4mnnVmzZeUlZe
hqZgyJwzE1+XglEUFBY1rFxVXFgxMjoSCATQhBb4xuE7R2rhJXAtGNoRDK2sJ0kjw4MDg702q6Wq
qkqlUra2NbV0nGlrO1NVXXEu6zydJwqLiyScOXBgH3zknMzs9RvW3/a5L2i053Ea8MXMWyLxKCsK
85fON1lNGVnW5fUNb4mbnnHPwoU1K1avsprNKKcWJbVaffUNH123YZ0skskAdnDRsoX3fPfbhYW5
CiUDCqFQy6GEFtbHIOdFY1FxEYOUWMAFTOC6e3q373g96A16x317t20f6OsJBaJgGuFSycWTLzSM
gtboNGBwwVsZ0o01i+sM59k1XZx4AtUVKIIXsLExRywe27hu+dLFi602e+pwEgipLB83Wcwej1+p
UowOomb+DLtt0yWXaDVy3+KkkTCdRlOUlx8d99j0BoVCEYyEeEGAwKPR6xORWNLf46IgiCSNGpHh
gZLIKchav3b1UN/g0camo4ea4pj4j388y9NEZmYGdWE7XNo7ug7u2wOliI1xZWVlRcVFqQPnhwun
E9e4W/OfxabgG5WwvoEBj9O1rH6JyWjRGyFi/Bc2wcXjCU4QITdjWU7khaLisrSMtA2bL83KyYbk
YbBv0Gj6kA6CnBKSeRZus9uXr1u3dtPm7LzCcafTNT4uSgKXSGBoqAuIAwdjT5EESEAURDQZ2+3i
JHFp3XJJEtQacsf2raLI73jxxV37dxw7diwRixcWFF2YxpX+vuF9+3ZBdVqENmlqyMjMSB04P1wI
nUD0GHf5jhw7UlZaAqEaaUSURhzeaCRQWJxjMphS5/2bhCgNDI3xGI9jolarMhl1xw4fC3GxRQsW
LFu2RKVUgsb27dheUFw8nVcbmimAWiDbysrKqKtb1NPaEvAHk9OLUQYMKRdqMxZQ1z0IhyJIqLzG
Rh2nm5tGR0YUapVOofI6nZLIxsLcmGN8185dnlCssLxMo1Se79gy0D+4d88O+PR+nxeSjgULz2m9
zw/MhdAJzwtNp1vUaiYnO0cUpVAkFktwW557vqyqKDcrtXk+RHWotEBF/b2jzzz77P59u/Jzcq2W
NBwnGaWq6eTpYMibU1AAlQecDPewrLJSFsnUolap65Y0pKdl+33+QCiAGn8FZPExguBZgURjKkXU
34JWrhQ5jkvwiWuuubq2dgmlULA853d7OJ5tb23Z/vqr0UTMpNcLvKg+b6PF+voH9+3ZDR+JICmb
1VS/fCVqijhvXIgQSdNk/dLFCoUa/pBYjBseHg37AwM93c8/+WL7mT444dSJjpe2bIUHg/2jjUdP
HNm3b+6Cak4SWDbBQtbFccFA4Nprrl6+bFnyejLnC6PFeMU1l33zvm8V52br1UocMi4KbRypUqs4
NJwSJwgaLL8AaRiOh/zBZ554dnRsPLMwLz3NotJTpIQxSiLgdZ08fPJb93z7fz77xTOt3alLTzXx
eBxEDKmKJIjDwyNQTFIHzg8XQif+YPjA8eNWm9np9MXjEVHiBpyO9IKscNzLsT44QaPEi4vzoAI7
3Hi8selIgo9HwqxWo+Z4Duoul9Prco/r9QY6udW1zPkmLyvnBz/+8Zf+50tGtQpZeKimcZFCo12w
iVmSEs8pSLSBXt9w98MP/f7VrdsKy8oblqxdUr9k3pwFNKVqbT7lGB8fcw5959v/9/uHHwlFp36m
EBQGtO0m+jQiJoiCcH7b3S5E3nXyZMvzz/5zwYIFNMOo1Rpwh3te3f36qy+v37hu1ep1cILFZklL
T4cHx48eP3xwbzwW6+vuWLq0XqVSEzixb9++3IKMpUuWyYnWhQESGI1Wn52bP6dm4eDAkN/nQymN
CPkXhBGM51CbGAa3AhdJgsYI0uVyDfR1ZWZkVZTPQcu80oLeYA75fXwyO+vp6kzmbwTc4ilMjSLR
xNHDB2KxKFzSmmZbv2Ezw5zHQbEXQieO0fGXt76Un19g1BtC0Ug4Hjt88GDQ47zx5pvMb9jmGP7g
wqL8wd6hkdFhiKcLl9Qa9aYznd2BsH/zpo3w2tR5MhcEmqYyMzNIltWSBGRg4D1EDLUS83yCIEi0
TxlJcEICaj1CFGNsvKuj82Tj8UAoXFy+YFHtfIg/I6MjpVVzYvHYgQP7E7iYU1ii06inaotMk0mX
n5e3d89ekRcjsWhDwwqz5U1NplPLBWkXlvAD+/cbTFpapWw51fLYP/4+2Nd97Y3XrwDvlTojBUHS
PT1DHZ1nRFGoX96gUmlOHTsh8vF58+aplNNxzflZT0lFZcO69esvuay+flVeXhEv8D4PGmMPvgC0
guMUBBY0fVJCy+zHuajf5+1oO21JM+fmF0G8AWEwGBOJRbq7u1554YVQNFhdVU2iDY0nG1hIklJr
9NtffTXKRuDTVC+Y95Yts6d2ENqF8CeZ2elVFRWvvrTtlae37nxth3d8DBJKg9H29pnZUDmRJNqO
Af7IeDQqCiKB81Z7ViDIxRPTYkT3hw7UzYIpVExRWeHVH7vq8//zP+npNoWCYSgSFMKASRAxilYQ
YBdEQkWpKQLNFzq27yiG8cvWrnaOe9RWc0F+CeRnAs9vefr5u7945+7XDrztzn8Q1BqNTqcDyUmC
5Hcjo/tGplAkwIWIJ/CBq6rKaZEYGxni2ZhRq1ejjsIBe15WRtKW/AeOE44fO97V3Q5WsWHVKoPR
SNNMZ2vb0089FU6Ea6rRcl4yFwu4jwa9oSAjy+/0uH0ecNACWtEBTd7GCVyArCw5cVIQYpFYAldq
o9FQZmZae+MJu93mcjkj4YhGo6wsL+7r623p7U/PzjBotZMpzDhG7N2z2+kcQ4swYcTqNWvOXxfn
BV03FQK0wKM9cFCrPNrZHa3JljqWJBAI/+KnvznRdAie/erdX7OnZ7vQvg2O0eFRf8i7evWahmX1
qVNlLh7RaPxvf3/kzJlTvR097pAfTSOGgsQLIuRhJAkWBoeSC78SmMlovvSSy/MLiwVOePGFZzNy
bZ+69fOxSHzP7p17dr1+x5e+umx5PUOh3QI/GD//2S+3bn0einFRYeEvfv1b3XkbCnne44nT6+dF
QZmcUAUhEu1djTavRiJ5S5IaiyV+8Ys/NLUcFTge0su5CxYYDRYFTRUXFVVVlhQVl0ci4dycvIGh
0TG304ZGRspcHMDi19bWrt+wuby8fLSz16o3ppsswXAI3VCo5EEzEFVQuOGjkUhLa8vhgwcajx1j
VEx6Rv7Lz23t7GpfULvo0K6dhw4dMFvSwOYYzca3DIE9R5wO97Gj+yGKJdhEnBXQ/qbnZ1Hp8+tP
eF7sauvkE/HU7+8JfMuVFSW5GbnwjRmMBqiTvF6nyWrJzMqy2DJwgTIlV6BpbW7fv3f3VOS3MpMC
qruFixb/5q9/+cPf/varPz909TXXadUqSBEg+0IWE4ILAdUhASkZy8VDMV9/T/eRfTsZRmQTURLj
v/aN//vC7f9rzUjbtu2VLS88z6HK8X1TVFKiVGog84vHY+GAD6rg1IGp5vzqhKKI+vrFljc0/r4H
SiVz+UcuKy2vphmQhEFrNKWn2Rma8fl88Xii+eTx/r4hqKScI6M4x08mr5WZKqBqY8BBMrRKxdz2
hdu+8IVbLXq9gqRogiIVFMOA4VfAvwRDYALOS5LXG2hpO6032VV6XZSNCoLAx3me5R/8/YPPv/Aq
MjfviceXEN/cmmOxmLQ6HXwQgZdGR4fRAgDnhwvSLnzOOJyeV155mefjl116xdYXX7GlpxEUodOb
gsEgVE/9g31VcypKSwrm1syDe5B6jcw0AAw0CKa0tIpF+88o7Gn2YCiQSIASREzESYnkBYEkUUut
wOMjI30lpSWlpRUGk16pVHhd3s7WljNtzWVzq9JtaW/Jxv+LhDWdPK6C8PGGMWNgdw/s3e/2uiRJ
0Ol169dtPE+9jRdZJ6FQVKFI/WGRSPxH3/t/3Z3t8Ddb0tI3X7rZZDLRFO1yOH1udywW2bVjh96o
qaiYI4tkegJqqalduHztmrUbN7Y0NXndbgkNDRcgToAJAWcK9gV0I3LC6ZMnW0+dMJusmdk5aWnp
tUuWWdPsLz33pMVqzcnORS1rbwfH0u12tVr1xkYtXhAPHTjkcIyKggSvraurM5yf2cgXUyeCIPV2
99jS0NIqQO/gyJZ/PcdCJOYEo9GQlpeXk2FnGGZgaCgUD+EEtXRxzbL6FWj6kMx0BYIBTZEMTS5c
MC8W43p7OimcQluxotZOgaJpiRcpgmA53uvzNzWfGXf7swuyNRqFksYLi0t0FqtEKv751PMnW9uM
NotR96aGYxLNhHnT3Q+Foy8+/7w34JYkqbR6jt2ekXt+Vqu6mDohCPw/IgkGI3/6wwMjw4MYLoH5
Kyoq3fbC8wsWL1LQyvaWMyj1FIW16zdQ8lDIGYJGq9MoNVZrmjXNRuJoEUOe5SAmoPGToCaKkERB
4BJDg/2H9u1tbm3JzsnNLyhKRGNnmlr6etp2b3tx1/ZX3T6f2WQ2mkzvlowFg+GXXt4aDvrBt8Ri
0ayMjOrqualjU8p08SeMgimvqDi4Z3+cTcAXONDft2bdyvLyKp/fq9JoPC5Xmt1SWV6ZOltmJmDP
tC+oXbB85coNmzZnZdm7WjtYlpUkQkIDKElRFCW0AQUGRt7n8jQ2NrrcvpKKcotJX1hYXNewzGox
9bR3tp1pi8X5vIL8dxwYFo3FXn3lZX84KHIiwygTscTCuiVq1dQvxDNddALVBaRYudl5/d2DwZAP
7NqNn7wlFIx2D/R7x52Milq/Zp1KJQ/xmnlMtInl5xdLHN7S1YqhNY9AJwTHcgTqbEF7S3KCgEmS
c2ysvauteE55Rlo6FAiFQmvPzKA12t07dprtlrysnNQV3wCkIa+98lrQ70dGSBAENrZy9Uqj8a0z
ZCfPdNEJAHaFk0Sn2z08PMComM2XXk5TFBrOhklFxcUFBfnv2hIiM+2BdCunII/nEkG/G82pgtwr
mYCBV0HH0HR8jOPZWCh6orFRo1ap1DqlkhZ4ISMjE/Kup/72t7z8InuG/S1FIB5PvL7j9VDQB4WE
VjD5hcUrV63WoZbiKWa66IQXpK7BAZImOIEncWlsbKxszpxwKNzX069VKpbWL5WX3J7pQI6wqHbx
+vXrKgqLGIkIeH28wEJIoWg08hgN0ABvimMsm2hr6zBnZkY5MTMTvA0lSWLI6Wo5dbqleyA9227S
o11xJvD7A1tfejESDYu8yKP1j4XaZUvttrTU4aljWuyLDex4ff+fH/oDfFeJeIJHWayg1OigkvnU
rZ/cuGFT6iSZ2YIgiMODowcPH+zqPuNye5pPNQkCz/Ec2hhfQltOoIXEcConL2vV8pUVVfNMJhMk
bB0dnb09bVdffZ1ep9fqtBqt6kxbx33/d5fb42U5DsMJeO7b991bv7Qh9TZTx3SJJ13tXceOHGDj
cXB3OC6RJKVU0J/9/KcW1S1RMPL6qLMNgsCNJn11ddWKFSsry+f0t7SAtwAlgEQwCicISCnQhN5g
INDa2oaReGVVJcsnrDYLQ+IPP/Cnx/7x+JFjR+uWN+Rk2msX1facaQ+Hw3kZmQajGcfImgULIJVL
vdMUMV104hn3NR8/ThIUjWMZFntFSUV9XX3N4sVWc6rhWGZWAp7TaDKsWLN+wdzavu6+UChMTgwP
Q2ZUAgcj4JLH53MGA0eOHVlQXaMzWzNt2a2nTzocwywhLF642GKxEqS6e6Drso9+dGB4OCs7s6S0
FC1eNaVMF50oVEqVVrv2ks2FxWWLGpZc+/HrqmqqdfKech8OaAVty0ybX7dYwITx4WEOvACOCSKk
YGjhCi4aG+7pwViuZv5ivVaflpUeZSMWq6XzdGs8ElcotCNj43v27chIzzxzqikWDecXFmZmTPGy
d9PFnwAcx6GVIiTUDfWWbleZDwmCKIz0Dxw7eHjfnr29/T0RluUlXuBESMXR5qUYrdFqr73xupq5
NQIvtjWffuyRh8DKCBynMxga1q0/efio1+tasrT+3nu/88EG6r8b06hdGEQCwRZN3ZLbfz+sEDhh
MJkq51av2bRpyYoVoog2+gLXgpMUWH80vDgWO3HqpNMxCgl5aVl5XmExy8X8Pm+C4zVqlSSKbofD
ZDasWbd+avd4mEbxREbmLXA819XW+sI/nzl8ojEWj6P13KDEJpftYpSqzR+5dvWqFUqaGejueOjB
Pwo4U1ZdGfB549HQ/T//hc1iTV1lKphG8URG5i2QBGlLty+pX2HUW/s7u0AnqINSglQLFwWuu/3M
8OhwcXlhfn45STCO4cHuzk7H2KhOq1+1ZpXhDd0sk0fWicx0h6SI4rLi2oaGzOxMisb5RAJMrCAJ
BE66xsebT56MBMPV8xdW1lT39XaFwyGlRqPTaqqq5qRePxXIeZfMTAK8SjwRDXi9PW3tp082nzzR
6PZ4ogInYFRhaUW61Xxo/14Jx+obln3n3u+RU7cji6wTmYtDsl0z9fgDE4slvF7fq9te2bLl2VAo
UlBYFI1FA77AmnXrPv7xj9vTp2wAi5x3yVwcQCTRcIJmJjWhiKYpvV5bVFJcWFTa1tlJSHhBeVks
FhcxkcCJivLy1HmTRu6mkLloKDWKQCCY+mUS6HU6i8nqGR+rXVrXuGf/aP/AYG+vz4vWd50qZJ3I
XDTAPhgMU9MqJUIaJ2Evv7AlLiRwUmLZhMAlUsemAlknMrMBk0bzuU98iiQISZTMVpvJZNy0aSqH
mc9mnXCscNYloWRmB1kFOWuuuDInrwgKdCDgFzieoKdywtJs1kksEuL599qOTBbRbAKCSdjnJWgS
Fwm1RqtUTOXWkLNZJ3qTkX7PSqW/vz/1SGbmo9VpsvMLcQnn+ARFkVO7heqH2p8U5OenHsnMfHAc
UygZrYKhKUrg+anNFj7UOpGZTQiCaDWbNbYMimZs9nSlcioXDZV1IjNLIEkiKy/PPTpE0TSBTfHs
DFknMrOHaCyBScndV7A3r2s/aWSdyMwSJAlrOXlCFMVEJOJyjscTcj+jjMzb4BKcyaAWcQlnKKfT
G45EUgemAlknMrMERkkvrGugSIrESVEUfH5v6sBUMB11IvCi923bHMvInJXs3OzS0nIJxRbWMeZI
PTsVTEedkGgPrffauDUYiaYeyci8gaysTHt6JohEFISujs7Us1PBO+sER+siX8wfRqF8yzNv/EH7
jr/tSflnMj+pGz/DIUkyPSObIqjksqtT2dEo+xOZ2YMkCOGgR8RYQRC83tnuT2RkPiA4IQo4GrMi
Yj6vF01KmSJkncjMHlguEWWjaBYKjgf8PogqqQOTRtaJzOyBomiDTo+BTjCJ4wVO4FMHJo2sE5nZ
A+RZMVaw2dAeBxzLinwqnvC8EItOqo1U1onMjOGsbmNoYOjYoYMBXxAnMLVKxSiYiecpilSpJzUd
RdaJzIzhrAOATUZDXnZWgo1iAsaLArj5c4QXpDj7XlNfZZ3IzB7Ax0sYTxEkhqONUwTxXP0JReJK
5r2mvso6kZk9ZOdkX3bJlWqlCpxKNB6LRMKpA5NG1skEQ899srj4Z8ffpf4Rw507/3L3xnc/4b+I
Y8ef+9knMz/53FjqCZkLB45jK9at3HzFlVCsuVg8Ep6yIcOyTibIufrR7u6vL3znRTzFzqe+dNOn
f/pa6tf3wr37V5+75s6/ySK5WIBUFtcuxEmC40WHyz9VK1PJOjkHiPJbt754f1Hqt/fEuuYn/3r2
5nM6VeY8odUZCBw3W8whnyc6RUNmZZ3IzDbCkTAEkWAwRCtorfa9Bp6fOzNeJyk/8PGfPfPLT2bi
OJ75yV8eHUPtgeHO7fA82vERx1d/d+cY+2+bcdUnnzl8dOLk1b88HoZz32I/gp3bJw7DCfc81/m2
haLhLR+9ezU6nLn67r8fR1d+G3zvgbd8njdeFt94z84R9KQ4svOejeg69zz6l3seTL49O3b873ev
Tp63+u5Hj0+8VuZ94PehdCvBxjmWm6qhKzNdJ//2A7vagpt/Oxpqfnj9ia9+5Le7gyLfseULd6p+
N8oJw8/e2vHHn7zSK6ZsxvN/+/2W4Ut/O4ye//1vXhvB+JMPXrL23/aDHXnunlWf7LnyWEIKHbkf
e+SuLV1v9u7syPM/uG5n5QMhQRh9dOnRuy//1f53WHJ9NGK+/s9v/DwY37XlC7/HfjcoCf3P3jr6
o5+82i2Kwd2/v+n4dR3C6I4vZXafjsHrxJGX/u+63WUPtEvC8I6lpz51efK1Mu8HjU6LY1giwe3Z
u5OfqiFeoii8/UeaSQwiP3Dzs6PJX4SOhzdgC+/a4Ur+loRrBGtRdH8jl3pcdPOzg+/0fPKx0Pbw
hqIND7e99St40wlv3ps8dYn/cLbPI4Ua7181ca3Ajm9mZNx8/2sdodShWMfDH01dNsWq+xv/ffB8
8pYCMKN/2to6Nqxbv27N6v/5/Gcjsehbjn6wn9nmTwid0Y75HX5UN6ME6YV//OzTn7qzJ3nsXBAj
3h7MbtS86/eSPOFNQnrXZjLEmz4PyqlefuZnX7z8zt3JXwn94pt/9wnHnRvKdPjGu59rD2N8yOuC
q3f89+q7vr5Qmzz5/HLiTDMvzpLAhaadEWhhIpwmCWJqdseebToRQ34HllOdZxLHtt+z9ranPMoF
d//i3JqqkhAac1F0+5Gu99y9Zqz5wJlz9A3Jz7Ng5Rxb0opcfeNTI8SCLz8G8WQCbfnVP3lVGG18
9n7736+56fs7XejJ5hMt7+h5zif//ONDP/j2fX9/5B/79x4dHHby4lROBrzAgIPHRAlSr1gwzE7R
6kSzRSfbt77SHoSyuPuRfzbf+qUb5mMnH//hjzrmbrz2I6sMobYoGOuOZ3/58lg04IpGHf4IKuTo
8cSL3/CYKNz4uauxn/7kxxM+G3Pv/OU/O+FR8oSoKxClqq6456Njf7n3nl8fQFIJt/zlnn+gE97C
YHMblPVwyyM/+GXzrddvLFbyJ5/47I8cizdedfUqq7/NjWGRvmf//Mxzv/z8Lw+Mpy+8+rOf/ATK
5nTzr/jEhrHf337Pn48iqQTb//LjRzvjE5c8r/zgZ/ff/uXPF2WndZw8+psf/eDuu7751yeePt3R
EUlcaMVOHp1WDWEEYnE4FgM3n3p2krwlD5v4mQj5M4SkH1h1482rUEHLuPl3R0YT4AtCbY/cjJ7Y
cNcjzz/81YXYqvt2DO7/d2ApuvnJJ9/p8YRrGD3yi+RLgYxbH24LTJiTCd58Qsaqu/7WiN7uzYQ6
Xrt/4gR49yOjE18nePqb5yRf8shrD9+RgW345o7hROPjv372b3ehTz7n5l/sT56ZGD3yu9Tbw6mN
qVefb9549zmO7e/rf2XrSz/90fe+cvv//L/vfe+pJ59pbW4PRWJvPO1cfgReSMS5tzx5vn8OHT52
1Ueu3Lhh7RWXX3q6+fRbjn6wn3fe73dGLSww9NwnV1+D/XT00atThVvm/QNKST16M7FoeHxkZKCn
53RT6+CQIy0/P7e0uLKiOCcrW69WnbWUiKLIxmNK9dR0YpwjJ081/+xn9/u8Xlzib7rllhs+dl3q
wCSYLXmXwx965xstMylUam1+SdnKTZd86e47v/2D7xbnZh3dvu2n99xz51e+vH3vrnD8LNk/QRDv
LRKPz596NHX4fUGvyyUIrFqjScQnWlAmy0yPJ8lg8rdke9bNz8oh5QPzbvHkLYC7j8fjTtfYyWOH
20+3+nxRc1pWYWn5/MULszPTlPT7LjaQ8uFTurA80Nbe/dWv3A7po1qjXr5y5de+9vXUgUkwC/Iu
mSngHHXyJiQp6PH0dfUO9Q02Njf72URpVWldXW1WRqZZb2SoSW0MPxlamtu+8fX/TQgcTRKLG+rv
+/Z9qQOTQNaJDOKD6OQNgNX1BwLtHWeOHzkw0NuLC2R1TV1N7aLishKN6n0LhmV5juM1GmXq9/fJ
uNPV2t72978+6vd561eu/MqX76DIyYYsWScyiEnq5I2IguD3uDpOtx4/fqpncExrtuQW58+pqZhT
Vq5TnlPRP9PW/cQzT9351S/rNR+kjzUYCJ0+0/7IQ3/u7++x2NI+9dnbNqxaRRKTKtLkvffem3r4
BqY8ZZSZ9kxZxyJOECqNNqewcHHDskVLFht06qGejm3/2rJ31x69xaI3W5Rn27G6q7v3n489AqVw
fs381FPvB5YT9uzae/DgPpHneFEwGzQLaxeRk+uYl3UiM8F56YBXq5W5ebmLly5d0lBn1Kp2v/zK
y08/39LaOTruV2g1SrUKLETq1Dewbdvrp5tO9Pf2m9Kz8vJyyfdZGlmOO3RgX19/HwcWhaKLSooX
1S4mSVknMlPAeRyoAoVJq9EVlZQtX726fnl9UUFuNOjbs2Pn1pdf7urvH3OPQ/Kv1xmoZFGOJ6TH
H/vbuHMsFo0eP35kYGy0tLREp3kfPTACx3d19zSdOolLIkERFZUVixYtJiZnJWR/IoOYQn9y7oSj
0e6ezqGB3r6u7vGh8YzcoiUrVo8Ojf3xwV9G4iEw8wqcIhV0SVH5/917X1aGNfWysxGLsy+++NJf
/vyAIIoMw1z+kUs//ekv0HI8kZkKLsLAR4am7en2stKKuqX1S5ctMWk0zY0nnvnXU76gR5BESsLR
sF9J8ns9R080llfPsZnMqVe+J1DHRyPRvp5en9dLK+jC4qLaBeBPJlX1y3FDZlqg1hkqaxcsW7+O
IHHwEhKkOcnltDFRkDDJMdh7/3e/19HRey5qJimSoKlAyCcRkiRhGpVqIqObDLJOZKYRnV0duVlm
nV6jgKItiQyUeZwiJB6igcs5/uOf/njE5Umd+p4UFRQsX7kGkiKSwBmFavL5kawTmekC1P39ff3j
gUQsliCghENYIDGSximaoUkKfksEPH976M8u/9n37tRpNWpGjWMUL6BVIYVJT6eRfbwM4qL4+Lfg
cnm/dseXvZ5xMCYkgSkZhc1sysjMtNhspVVVNltaekam0WRR0KnVtd+bP/7x4T07X5FI6vrrP3bF
FVdPMqDIOpFBTAedHDtyfMuzT2dl2NNsaaUVZRk5OXqjkQZVvP8yDn/N3x99bMw5EgyGL7vy0iWL
l8g6kZkCpoNOAFGSiEl7iZFRZ1/v4OFD+0+dPkkS0tKlyxfX1WdmpNnt59qy/HZkncggpolOpoRt
r+x64MFfx2JRMCYEQdAKWkkprrru2ptu/HjqjPePrAeZ2QZoPh6L2szWioqquXPnmUymOBuVhPfa
3uSsyDqRmW0wChojiMuuufbK664vrazOLyonKUozubnHct4lg5hNedfRw8e/fd+3RF7CSZyQBDA8
NE39z5e+tHHj5tQZ7x9ZDzKzDaj4SRwXBU5g4xBYKuZUXn7NNUXFJanDHwhZJzKzjZA/YNNoFAxN
4GDjca3OZLdkxqOTWohM1onMbGNxbc2Pf/mrstI5GEnSDFO3pHbt2lVlpcWpwx8IWScysw2j1WzP
zrbZ7eBMCAzHJFyhVtH/3iP7g/HOOgFXJ/98qH5SN362gOMYmimJY4xCkZ6ZRky261KOJzKzEUnC
YrEojqGB9bHIFCx1J+tEZhYC8YNSMDgJDoUwntvsrvdG1onMLETCMDaewCXIvii9Vpd6dhLIOpGZ
hUDeFY2hdIugSJpRTDw5GWSdyMxCItGY3+8jSUbCMXwqttSSdSIzCwmHI6IksmwMrLzAv3kj2g/E
7NTJ5Od5ysxoRoaGPU43+BNJFFluUiOFJ5idOiEn32AuM5OxZqSpdRMDhEUlLeddMjLvhMftUmu0
kHoJvChMRSeqrBOZ2YYkYR3tPY7REZKiSYbApyK5kHUiM9vAccxs0hIEDuGEIimVUpU6MAlknchM
a2Kx970BPMSTvKJik8mMRq5J2JSMXZN1IjOtUanedy8hxJNTjSfHHQ7Ud4LWKJ4CZJ3IzGA49h1m
rQPZWXaCIjGKoGgFPunFhQFZJzIzGJp5Zw3oTVaNSo2JqMVLEqcg85J1IjPb4Hnx6MFD4UgENELg
BMWcZZu7c0HWicxsgxOE5pZmjmNxAg0cluOJjMw78MILLw6PDELGRZKEWq3BpSko5LJOZGYb7nFH
JBQSJQkN88NxnJb7GWVk3oZKpeF4DpVtCY+zcVF45zax94WsE5nZRjwBzgRiCAQTkUGbDMnztGRk
3kaa2UwTpMlo1OkMao16kjvHTyDrRGa2EYrFMIKIREO8wPoDPvhv6sAkkHUiM6sA6+52OmwZaYxa
K/CYWqVhKGXq2CSQdSIzqwBjQtL0+Kgj3WZlwJoolJPenwsh60RmViGI2MjQIM8Lo0MjarVGEngg
dWwSyDqRmTTTaTGCWJyPxRMELuEE5nU5IaBQso+XmRZMp8UICFSiIdXCLWl2tU4HGkZzUCaNrBOZ
WQVoVuRZpVZlMOjKSgppmsHJKSjksk5kZhU4jtszs3GJdLm97T39EE6mIOuSdSIzy1AyZGZ2jsVk
JSRcpVQpFFPQKAzIOpGZVcRZoeV0k9/vwTDB43LFIpHUgckh60RmVqFgyJKyIrs9w+1y4ZhgNE/B
pg6ArBOZWYUoYvOr5xbnF+IELYl4NB6T11uRkXkrbCLRP+ZwBvw6rVqj0wqJxJQUcVknMrMKVhC9
viAvihzLhsMBDJ+aEi7rRGZWwbP88UP7hvt7dToDJhFGkz51YHLIOpGZVSRYjucFj9s9Nj6Ko50L
pmCxFUDWicysgqEJmiYlTCRwHO3SKE7BIEhA1onMrIJRKI1Gc0lxmd2eRVGUYio2nQNkncjMKkLh
UCAQHB93sGwcLck9FYMgAVknMrMKAiMkUQiGQ2g1CYrS6qZgU2xA1onMrEKj02oN+qzsTDYRwwRh
SjZnBGSdyMwqBJ4L+YM+j1+n14uYJOtERuYdiMXiPMfl5+cW5hXiAq5QMKkDk0PWicysIhGLc2yi
ra39xMmTgiSAXUkdmByyTmRmFTTD0CpFdna2yWSkKDoSDacOTA5ZJzKzDEngxUgsplArRVHQ6gyp
pyeHrBOZWQXHC6IkgS1RqzQ4jmk0mtSBySHrRGZWATLBRJEkSQkttSKqmDf5+NbW9pHhkdQv7wdZ
JzKzCknkcFwSOD4aDGE4FQq/ad5vSWlBZnZm6pf3g6wTmVkFRdCYhIcjYRHHJElQKt+0qQNDK/D3
XG7s6LETqUdvRtaJzKyCoAicIpRKNUExBotVgDTs/bB40YLUozcj60RmdiFIBIb7vd6x4X6f203T
VOr5ySHrRGZWwbEJkRfTMzJ0Gh2BY3qjMXVgcsg6kZlVEBQlYlLA61EqUUtXJCj3M8qcN1h2aqYB
XmAkCYvG4mDUBYxQaPU4QQjSFGxiCsg6kXkHSHI6rUF/zuA4RkE8EQQJE9zj4zTNAKljk0PWicw7
MCV7f14EIJ5EIxBV2Fg8GosKPKd4c7vwB0bWicwsAkVBQpJESLYIHE1sxKWpCYyyTmRmFRRNWGxW
tULFKBiSZiiF3C4sI/NmJAyLhKMEToqYCEkXgWOEvN6KjMxbQUMfea/XAwIRBFFEQ4fl9VY+EAlu
RrZ4ypwTOKbVGRiaMZtMAg//iGRyv8bJ86HTiWKKBjLITEckzOdzUyrF8OgIRVE0o+SmqFqU8y6Z
2QOOY0q1JhoMGzQammFYNk7I8URG5i2AGYlHoyzHSjRFUhRJYEqF3H8iI/M2gv4ghonxcIRRMODm
w5Fo6sDkkHUiM3vAMYznWSjTBI5zkShYFNUUrd+Fi6jvUkbmnGBZvqezo2JOVer3aQbkXa9t23bq
2EG9yajVaDU6TcPKtWlp9tThSSDrREbm7Mh5l8yUwfOi2+NJ/TK7kOOJjMzZkePJ7EcSp2bsxocZ
WSezH5yYkZOuphWyTmRkzo6sk1mO9P7Wr5J5Z2SdzHJw+Q5PBfK3KCNzdmSdyMicHVknMjJnR9aJ
jMzZwLD/D1qXf2pC36EhAAAAAElFTkSuQmCC
INCLUDEPICTURE \d "wordml://94.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://94.png" \* MERGEFORMATINET 1234uprightsemi-uprightslightly droopingstrongly drooping Ad. 38: Panicle: attitude of branches INCLUDEPICTURE \d "wordml://95.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://95.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAFwAAAGCCAIAAADizjPkAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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1erect INCLUDEPICTURE \d "wordml://96.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://96.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAGcAAAF7CAIAAABAQAL6AAAAAXNSR0IArs4c6QAAAARnQU1BAACx
jwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACd1SURBVHhe7Z0/kNXW9ccNvbejchJ6vNQ4UISh
sIc+HvfMpEkFWWpncL0mLjKTwmP6jN0zTmO7IMT1Aj12aOKO9L/8Przv2eOzV9LVkZ6kp/W8z4zX
0n36d786/+6V3uPC//73v7f2DOSi/X/PEPaqjWGv2hj2qo1hr9oY9qqNYa/aGPaqjWGv2hj2qo1h
r9oY9qqNYa/aGPaqjWGv2hj2qo1hr9oY9qqNYa/aGPaqjWGv2hgGPKNaw9OsL7/88vvvv7979+6v
fvUra5qfCxcu2NIp50y1Fy9eHB4efvjhh3//+9+taX6aqp0DD/3Xv/5148aNf//73yxfuXLl17/+
tdp3yDlQDWdEMoTDPVl977331L5DzoeHSrUff/xRq5iba3fv3r25dTzfce3q1avPnz+3lVMWiHHn
Mq45jx8/fvfdd23llN///ve2dMr9+/cvXrxINLT1OcCCkvzfCvjzn/9s1/3WW3/605+sdcM///lP
Gl1Wa50C63/gnKmGP0qUH374wZoCv/3tb/UpsGXrNiOw/gfWEteI95CJ63hfVyzjCL/5zW9sZZM0
7ty5Q7HiWo+jGdfWYmvyL0AOa9pQrAIG9emnn9pKAx2kAPns41FY/wMr8lDFLOzC1jfQQqiyldNt
1PLs2TNWQR8JbVDQlH4Q1v/AilST0xWqyblsJcQ1UoEWIO7i2YBGDgjbRzfrf2B1quFNOKD7IH2m
UavaoAnt2hjUUqTXLbH+B1ZUrykDMgA4Ojp69eqVGhlOIcFXX32l1QhS4qT0yg3QazQfRcyFqZdA
ws+Km5utb6BRLdHWon05MkzRusE4rP+BdakGdDjGKUEjSVY2hYIs2wcNlA22TJoF1v/A6sahlGNE
9JOTE1vfQKMtbYzIXbKJb0lvtbA9Ox6Hvnjxwpa6QRGG6H/5y19sfUP0zQzYmi3Nw6KqHR4efvTR
R7bSwb179/hLQrh8+bJa8ng2ePLkiRZmYlHVCDpffvllYUcFDKpkKV1PBlrtiLEUR9YtIRfP/lRh
E91SKDRugztaPcFRUrBNzAk+3gJrOksR6aYatwvrf2BeW+P+gzuOx7XW+svBWDAozMfWQ/3lpX9B
Mcv29OlTW5qHeVVDHbzm+vXrV69effDgwXfffaf25lRiBCe9c+cOPWcXazrl0qVLtjQE7ha5lWuw
9e0xm0tg9joEPCXOeYlMMeUuqdJMPiu0QRP7eGOq1nRKcbShWP8DS8Q1tKPbHsWTVbvG55LA943z
H5EoawyIjo5gKwOx/geWyKFkNOoJD9guQZ27d++yi7Ihy2rscu2YNImkMSaKaUemy1UedEYL9VTg
IARWqWTionTtW8hEuWdLpyhQ1IuePIvWa2LQbcf1kMBFaT7ZE1EmdmnOpMtapT63wdP6SMxTE5iX
jyV6qFqePXsmb60H6TgBCdZ6FvusI6iBDqJPtWV+Ds76H1hONV2rUMvNmze1Ws8PXhsLaz2LffbW
W9988401ncXvmaO5uQzW/8AObE1p0S0Ih9IGXZCCYwKx1oAXFs2awylUq2zZxPof2EFcI7gQVh4+
fMgy2mm4XoHtfTTeOjbwFFEpnovEXS+z+zH1EpjyY1EWixSPl+q4sdh6oPIRbqigGc/ugTWJ9T+w
A1sTdLX1KVydpq1htqppmncFyLkM6RhOxZHp9u8gLadaLKm420WMT4IKRWnm7umVcIR78/Lly8I9
i9UxmM0lMHsdS7Ss5KAqIpWbTq0DNkdatHiWZEGbiaFnt/4HlrM1Oiz/4la3elOd1lGBzwzfuXNH
C84HH3zgUya3b9/WAnANRT4dwaJxTZmLscHo+a+oHeHMI1ozEV+7dk2fQhyNbJs9N8yuWnMgDb1P
D5qot7HP9+/f10KrEBgURo1wxdhze0N7g3lqAvPyISgYxTjivmnraYq45g+MUUEtTYqhGHB2+2wI
1v/AvLZGlwDLcrvw2QtvGYeslSAlNVtpZlU/+5bM7qH0ir4xErh69eqtW7easYZiKvOcNML2iox/
/etf1dLK69evbWlyzOYSmL0OpxhIgnuKHI1PtVoheqhcr9fdWs3QPhuC9T+wRA7FL4pS0z1F82Kt
BWqBAuKVK1f4Kzsdlw1HJKIWTL0EpvwWYCnSTvMchDyWk/NcMhwWGFdyEBkajZW5uVZbg/p0XhPr
f2BR1cCdyxMcTmqf9YFYCCHd+auFip/GRzCCFo5gH6ex/geWVk325SQNTdg+AfJMRfTiXKjMxqhG
e/5WgfU/MG9cI2960mzl+PjYlhJoQCZkMicnJ/liglEXG5N/uaTm45hhmHoJJPwg5EfcW7+9WtYN
z89BC46ga2Zfa+qDLbUL6AKIrSxzVdogg/U/MK9qXCjXp4uWdRBZmlfMRxmXYbN4qAzaXqhFBrul
avN6KB7x5MkT3XANSAne1A3xwRqDBKqBGzdu2Ho3PnT3O9FLtDXgGvzZ4FYP90y9BKb8KFRtyaZY
iElAHet95gJKu4PMxEOh9vLEDfnjWP8Dy+VQqSP5WLbWjRNVqodIc9863CGp5h4dTS9/HOt/YNHK
w643XLFiczJOad98UGNL7aJVko+bHheQP471P7Coaly37rZU47oVofRpHZcgX9mzJdtLINmpUMs2
HrrEONRhFHnv3j0uV2KRBMgM0nEONC/CcPWzzz6Ls8fkAdICp67XkhUWUo2rRCMqzPc2vPPOO/bB
6Uvfc6AsyaldMnION4m0vuVJl1ONG3t4eKhV+uOzksmnkzJP8Im5DAQyDE3LOCli4ZvUQ5lCp4Z5
agLz8jbI6L1lqqKM4os7KeSHotpeMTFDjGUQd1QLCtp6Fet/YBrVkldANnCxIvZxFY6vjZOqxWEJ
C8XlqT15KOt/YDIPzcxikw0eP35sK6dw6bZUZegs+e3bt92XCQLNs+C8fieGMotqSlK2chaEKxwn
GZiHqqZZX9EaOpsPngdgNpfA7LUN7mR0AVbBVhpEJ0VBa+3D90ruoo2huT3XRns+nlr/AyNVI2rE
eZ6okUaaSdWSJatcyY3UWrvRNYgiTXHZas9Xy9b/wEjVNAx2aRDCL0LzzpVr0q0GIos19SEVXDtr
7cYDlj91dtQOtp7A+h8YGdcouOkzJZge+VABeeg9OjpCuEwVln/IpDJVsTJW+V1oTol7qXGuoyPo
HqtlHCNVQ5STkxOsRsLRE0Vr/f3ggw82W01MftpaQ6XmndMRDg4O/vCHP4x4ev0zZnMJzF7P4rFG
3oprcCf1URcjPNQ9DnqP7xsXUUKhI5KZ1APrf2DbyoMxXewSruGidEG3tfDxxx9roRd2AZ2o9/HK
999/z18ib7Q1rK9pqrTgKF1FUoUJ6jVk4qZJCyq13mjlQ3dsTQu90P+XL1/qfvSqpghbPM/30eg0
mM0lMHttgxyHauqVNXUQa4JmguuFvTiRrXTQuk30AF0qlmuf9WH9D0yjGnjU0GpRJTlF8urarAvt
ZSttqBxDFFs/RZeHXiNulfU/MI1q3Dd3N7VoOVbCjj4S+YQgtJettNE1pS5ba6qZwfofmGYcev/+
/eLbdLq3h4eHfFQJt+y15et/Ba3FBNG2qxYZiamXwJRvw90z3sxYYRae6PWKsNYE9e09aNr6Kbq8
cYYG1v/ANKrFaGVNG6xpAzHFHTaqRpfUmIHtK50vxnlC9UpmHNaF9T8wZQ7l4vjrZsXV01KgiKON
RWGGFWRKlbkKHTYGNZbVmD9LE+t/YLIcqvvsV6w7LPjIZdIG7tEQO1lHx+yyNbd3Wz97FmsahfU/
ME02ANWWHow/+eSTmzdvKrS9/fbb1KhKsjLAWKm2fmllBLoA/6Yu+GAg3sJpMPUSmPId6MqwKZZ1
k1UZEVBoxEG0gSwrWgEk3cc7r4MU6JgeOmX7XRsPwvofmFg1XaUW1I7joBomJitTHwrV+Egb1/G9
mirToiCgVXkrLa0Fo6N72XvPrP+ByVSDTY/ezDSoA37F3iWg57QUlUcywbn52HpAt0qJwk/HlejT
LnQbODsL7Nsln/U/MKVqilxcK7bDdVvrBt18oS5xlbI+0XvDwW3N1gO6DZJJhy0uoBVOujmeIdGb
WP8DU6qmG951uVEjkKu60WWcVLbWenzaZbBeWmdugw7odNmm9T8wmWryR51eLQXS1LHW8GKedKyg
IzT15dTaXQugRNRLvJGVXaz/gSltDXQFrfc5Oqmim/D23ugm02iK6+3yfbTIGFp0zy7fFNb/wMSq
6e51XYTbQrGB+2nd3HTw5ja+O+QnUTiOdqlLBtb/wMSqyXCaTuR4D2MQibe9K7hAq2pxX6jrHpFh
ZlS2/gcmGxsITcVUpoaiXTgMFdQHuH79+qC5o/igD1mlbC+cQmMJt7hBTKwacN30pEu44+NjCeTP
T0Wc5s98ha8J9yMpAdfmWut57lC2VU0Tfvy19dNnwzdu3Oh62ihzKGSNNtiluM5SWKsPY72a68Vf
OOX+jbO1beOae4Sthyjblct9A1vf4IkCOKa1nkWfqsRxfFLA1hPoOMCVWFMV639gW9V0h+NFx/Bs
TaebSUcJHYsP4caCCVjTWbSjrWxwrZP9B3bh+DqX71WvVKz/gW09tPn2GaFdTqROCpZpfPDggf/D
b018+oiQlww3OhQqxHPV4RpIWTqXIixwumGPL0y9BKZ8A84NtrLBrcbWN3A/fRgATVsD+2xDswQp
bM2NmvthTQnYnuNQo/FXLSyrUatNrP+BCVTTWaMKXu43Ld8FbfWpenQrVNN5RaXKi0horoHbjNYc
wW9k5QjW/8AEqnEpXAQndiFY0KVwfU3h3H9tPRBVA2s9RTtq2Q0NOHvzLE3YRjKxbHueUg+L1v/A
BPUaMUJfKfZgJKOA169fe7RyWssxlSlXrlyJXnzr1i1b2hAP5QUXvXr58mXzLE3YhojZfA2FHOUX
nGSaKpezyhCKYF95Qax4oOsvH8e3kL/99ttYCQI9tKUNQ3tbHA04QnHMFGZzCWSuXbjLKMBpGfRp
RF3tcgrdALk84FP2wSbtyL9AN6nuWU3YReVeEVLqWP8Dk6kGKoXoD8tvetwRvNThrkhEVGaDGLbU
rhYd0LONPkqCRtqdBfbVdWaw/gemHIfiXFwQESfzj4d0RSJ5roctkFtpe0Ul/ThYzKEZGHvJxPQu
W/6t4CZTqgb0mSsrRuYF6n8zxDiki1jl6mjaHmNhQaHz2rVrbz4eCPvqlmzzHuDEqkH8zk/lflaU
RZqYSZVS2J7G7777zndkMy3kQei//e1vWq7f2jrTq4afen9aZy+K7NlK/LqOVOOY1DH/+c9/tnlz
CxMmL7OAQ3hwHIPFtwQWGxPYoTsiruJRPX8R+xWDhBptZUPMrUk4pt9ODm6tCaz/geltDfziMsVn
K+wYHVA2G1tGzFxyzG0yQGQW1dxMWqc3RgQURW73dwxt3P3wKczRt1PMolqrWE50vQpRXJaRzFUb
N0UOfgSpRgXz4MEDbxyAeWoC8/IE0ZWa8UtFZj2ugTZzYla1LYZj+2/O7sfnau3jDqz/gVlsLYaP
pGU10RDC8belRx/QbUqzVZ6LxxzQ1Etgyifw8VBrDtVNziRBjavpVTTeXtPoQrmbY8bhmoaldaz/
gVlsjaihG0gVPiZqnKJKjfpukt/8IDhyVaimdyhZpmSLUyx5ZlENvJSNI0ohHTPjIaySvjGEil8c
yxTJTTgpINzFixeVrDj4uEO9wWwugdlrDo+1TSfNVLmODhKxDwbi1yMGFcnW/8BctuZga8VAfVC9
VuSEqRg38nfmUo2Y7a9jF7/6rgwbA3yFLctRpzKrPIIZbe13v/udFgpb07dek/gzrS159OgRf5UN
1LIV5qkJzMvTxFBiTRtkZaR/W++jcNL8jhF29AirOfo81v/AjLaGOgr8EM1NHqpMmqGZhYeis/s4
jNX82VuZNxv4hcYvsKiUG5QTHIrSEZFOZ5fNEuB8Onc086rmPWyO5wdFN2dcUao7hFJchubWdefG
Y56awLx8IJ4rbT283M6CNVXZftwejyDsgxzW/8C8tgY+kvfQ5kVAshqI9lWfg+qi+J70BJh6CUz5
4cgdMDpfVYjBBNRSJxYf1jSE4vkAl+FXksT6H1hCNXXbEz/LXpSopY5PUQztrYgFEApa6xCs/4HZ
PRQ0Y0EwxiU95efjsc+gjCsXfC9uHsN1roGEMM7Tf8bUS2DKjwIz4Vy4pPqP+ajFPu5DG+e3j6hm
dDtVLhpkttb/wBK2BrpWorKKgC+++GLbu51GZyyeThWrgzH1EpjyY/FxAnisSQYaZQ/s1NaHIOv2
E404jvU/sJxqUIyckzkUpNogt3J0Li3rbq16HNqkUC3/S2JSrZg7yeD/GKZQZtDRtsLUS2DKdzDI
14Q1JRhUqUQ0KnAjxTfzBu5Y/wPT2Bq5/Pr167ZSxUemCjdJxg1asSyNChT7MVUyQzRwWq5evTrm
dRtTL4Ep34YOlRlXutWwYE0JVHkMNZPCQjlIcYWyRN+gC+t/YMq4lpmQGGRiBUP/jUZZaDxj/JlQ
Sh9Zom7JMEy9BKZ8Gxwnn8513kFPiTQmy59CSK8uo3Y1eyOy9T8wjWq6XZnn2OCFW3J7UA7hr60n
QAudRao1peEjzxJ1rP+BaTxU9y05IeN1eXz5to5yyKBxqM8V69qKZKXHZh74BmPqJTDl29DpuXXJ
RyFefyQLTm2cNA0hsTyB+Ik4CFfLBeSPZv0PTFavqWNJp/NyN5kWlewG5VAdv0iaXB6N6KW/1tqH
9T8wpWq2lONNnzZkzFOGk+9nV/aQT2jCLj+usv4HJqs8uEQqRltJoBsOmckPBan8NInepvFTOF99
9RUGq/j46tUrNY5gGtUuX75MxwZNz3tOyFy9+5RW6/gLEs3pIAYDNOpB31avepjNJTB7bcOju61v
yoveoYJ2afpRE1fN1qvInZtlimoRnNQ3SI6drf+BaVTzEkxBylf1aReeE3pDjFRrCtFE8R5Qx5pO
UVBjQfdYJ+UamlsWWP8D06im+Ap0T9fE/czkU8nRa2551XQnWrdEHVkrp9OCkgZsPu/E+h+YIK4R
pKlCVRywrJcBjo+P88/JvSKt4/MlvXRtyeXdunWL0xHdXrx40ZU0+jH1EpjyZ5HZEyDiuXUnM2h3
qLuJIlHvYd3kW13ezwVcsHyCm91b+lj/A9uqxinpElfp1zRoWA7aq66IbkldWah7nH/K0ZQZMi4P
1v/ABHGNq0E4V81a08iOoJLRtE2vahIXbP0s+pS/utNJycD6H5ggrukhsb7q5BLk8be1Km9HJV/W
9gcLreN8XRvh7MaNG4Q2N70RTFPlDvrH7gs8csd33AqkQn3OQxPcqiSKbMBHKPXw4UOW9UyWMDL+
tXkwm0tg9tqNXl+2lSHoSuCbb76xprO4c9l6G0rirUdwzxW9nl5g/Q9MNg6Fb7/91uvbQXiv9EXh
LpojpAhGhA9eunSpOVylRcGXZYyxEHEEU6oG4wZ37ixdb7TJNytBUxENOQ4PD5uTnRgXwVdu23WK
YZjNJTB77UC1Ut2JKuhioLV6knVUCitsHE2Vx1tLH5UaonKcVqz/gclUc7PPZ/SI744rWVOATxHF
Vhr4DZMxWutZ+JQLg0FTm8L6H5jMQxV0uLjRXxQWXj1ElB9tpYECGZKxjavvXL58GQdnmycbTk5O
7IMtmDiuQfO6M9Qj/cHBgVJkKxL666+/5u8f//jHTdvPIOXQB6n9mM0lMHvtQIEDyWx9OLoesPUA
jRXH117Qug02SKSr7N6L9T8wma0pD25TOtIxLbQ6aRdxY2WDiN4pwj1JoPyt18kDMPUSmPLdcDRu
LOYGdCD/kFh4n5sGS2OXsbCx9upKF7oZMrfKULeC9T8wsWoF9kGOWBxY0ym0tOZWn7mF1g1An3JL
bH041v/AlKr5jDZgAkNtDdxwolGosGi1NW0srKlB/dMM1v/AlDk0qgYjvvPkTqqEKJQBu6ZnRXHq
AuVfxgzTDAwmrzw8oo9GR4jdk2rN0iTmgcq/xEy8o3C5f/8+2aB44XQ8ZnMJzF6reGzqis29uJPa
engiZ+uncApt2eq8jh8QumJfHet/YGJb85lFasurV6+OyPSuhSp+0KigsOI4WnC/bsWvAckm+V2Q
N5h6CUz5KuqA93Bc5pJw2IhWdcyiaEgamidZP9oIrP+BiVUD7w+0Tj/04j6lLMxBWI6qReMq1CxQ
HuCShs5zRKz/genHoXfu3KHbutyYCkcgJ5Unuj/CJ598YkvV0QgpRa+eHB8f11PwUKZXjYKD3uoF
dS56RGhrjT4xrvloPEb6Jv62ThETt2d61QqZKk+eusB81M/4/MWNxfMAflfPA9qdbaY1tDeYpyYw
L+9DhQLBSIYwLgwrloF0QSD7IMTN3qCpzWxlC6z/gYlHVIrNdEypTSYzIhJLepBGOhrEMUA9D7gZ
smBNY7H+B6b0UB9C3b17V44p1/DKK4/H/pgEwIt7DK0+K+WBYvKgBlOqRs5SKNGFMu6TpQyaLxNF
V6V+/MJTfe738uXLR0dH8uvpgxqYzSWQuVbAfdwdVHl4kanGQcT8qOBoKxu0TRdyT67H1rfD+h+Y
2Nb8y3X6SWpyv6xmXP3hUYzd48+R1QsOpznpop96tZVtMPUSmPLdcLQYerXK6I+FeuRuRfbSSm96
0UltJaDdbSWN9T8wpa0VJsAqkUjvGhVBPYNiIgJpwWG1N1QRSZv2OMLeu5hStSJXyr+k14grdmkK
jTLvL3ElhdbglzciO5WYzSUwe+2GoxW+416mdDYUfwbK7nK6TIDnGtgyxgrhOvaWxwXW/8CUtgZd
46cRHgqXLl3iL75GaaafOPT8UKH3GracU3iDqZfAlO+GoxV3WLddjEgIwBH8IMhnrVUU0Xw4IeKV
gLXmsP4HJra1IpoQkppReRAcwWNiciZW8auok2PMLT4ag6mXwJTvBvfhltrKKRqHJ82kFQXH5BHk
wvH5ADZe3MtmyKtj/Q9MqVprxwb1uRWZRvN+tMKWhW9CVG3EU1rrf2DiyoPi++IGL+V1xdFBhqLK
o6g/Wmn1zQg3b8RT2iZTqsZtIfSoXPDp1oODAy2MFo4dvQTJEP99IeElXn3MPwCzuQQy1wocjSAC
LMSaiDtMC0Y3wjuU+5IOLiuzlbPoI/5yqKSzO9b/wMQ5lJpI89eFZdHCR/kfVXAGTaCzcZdVKhGz
ARe2zb96JqZUjfwls8IR0MhnF+QXWN/z588nGM10oEja+jtbSOZTmFzkNt8pMczmEpi9JvCSMq6O
S6baKzMGwpzBVtoYcXZh/Q9MHNe8ezI6r4zoD6tAdFNLEqnmx+lCwTSWaQU6DuDCvUcrsP4HpvTQ
mzdvvv3221qWV/rj3vfff18L4wakvWhomalOiBKVL2wlmVK1n376yashjIu7yiUqLRBNvNScI7S9
ePGCM8rAHcIZ+UdPG5QNMEYMze1uNFOqhmQ+ZuS2681+b/F4POhWa/dY3DdhG+6NBwFHpvfw4UO0
U96kpVB2HBNXHoUdcYlcrgsn3nnnHVtKU/drfX29tYLFrFATTXUESba9sU+pWlGjgXxBvXJ7yUSf
gqYdOTI0Dt71eFTCsYB7Sq/t49pcOTRCO1fs5Ugl0zWR7pVqXhvUj6kMq9vG9taaxvofmCuHRkgF
jx49wsT0tdsR38+p7CLDqU+9yT3563X4lkyp2qVLl3ysHuFa6TYhmSTL6ohZh9bDCtwTA7eVDqQs
tsaVqGVbzOYSmL32wcU1vQAX87iWKfSduodKBRzQ1tuQe8KgyBCx/gemV02ht1U4XT1YU4K6ahqr
28pZfBcdgXum1RFY/wPTq+ah19YD/tpH/rZXVNOJuEm2HqCR+OXLbDbIwAus/4HpVQNdKDR7635a
dytHwdtWzqJw1jRq4AI4EWeX6F2bJbH+B6ZUzScduVyp4zfc8Y+S3eAIrWYLHAQPbTVDYC+08+m2
aVWbLIcyEvTkSJGhOSwSHO1qFHz0+PFjFvKlZnNGG1RRMx7oqpk5y9OnT/2F5okx9RKY8gm4sZiA
ElxrCJMLZ+4/ttbqyxXPddjRbW10AgXrf2AW1bhERV/cpNW/0EudsfVumj4u2Lfro4Jzkw24yRJL
FtFqLOpMb07gCE0zUR7oimgFbJk5UQXrf2DiOQ/BQFpjac1DtD4x0Ue9z18YnDenKDggdyUzC+AT
Cl1j+5GYeglM+TQKWyoC1FKgC6hHHPZtemLvXo6MHZKG2Yr1PzCXaopc1CK67tYnoUoXBGxbb+NN
jxvhj5ZMJgHtDrY+Cut/YBYPBcRCjkePHsk1WisAFSX1x31uLI47XS++ZfMgWzKXavDxxx//+OOP
msNp/YdXsDUckIX4fncBPW/t8yAhdJYJmVE1bA0jKqa/I1TF6nzdfNwSfSY2qYKfWr/yNyEzqkZ+
xNZ06ZoXbOI/BdVlbsiqXImy2oaFTPYEqUyZQtmhlsmw+JbAYmMazXCwwF86r8YmKr5ItbZ+FnZU
ulQu1jG7NhaqsX3Aa61bYP0PzKga4KRQV01CQGtaZHc20DbEQaXdegL1M/L35s2b1roF1v/AjB4K
n3/+ee/4meimcUJrxuDTr7/+Wi/aJKfOX79+rQPCTz/9hEdXcvRITL0EpvxA5IBg623ILnAoWw/o
I4HTyY7ssw7YAGN04USyvmvF+h+Y19YilRuu6oSMUflqGNGKxNJruaoBMds4jOPORfUnwNRLYMoP
BAPRiep3202jGPpEM+QILCOBPupic5if2cbKhPU/MLutUSUol7WGLUeKQOtQnwIFQ9N7LoN+XJbs
MbGVbVjCQzWoan3A7HgJ1jrHy6eoqaKvmBzeCcvFtf/+97+21IHyRus4IYb2eiYtImMy7Q5lOdV6
PctfCiryBi6GrbkNFsmxQAWdIDLM4Z6wnGq94MgqLGJoQ0GFRYEo9eFUtLWJZyIDS6gmI6pnA6E3
uN3WkIBY5jaYIbrkoB0HsYRqMpbMy344FBu7agr8mAwt3ljHp9Tnc09YQjV5SrLbbOwTJJ4ZaFFj
XYh4irojb8lCcY3etibHCl5hxFKjnhPjl4y3/DnyOotmg4xwGl1hNfrKNrCgBNrrcYuVcguppsAc
f22uC7nz9evXfQKWkqUyIdxFvUDZkuU8lL/Jty5iqSFah1lNXFyO8EuIa07GaoqQ5I7ZW0n4BvNV
amI51eQymdAWzYS9XOjeuDarfUWWU01dytQfUR1884svvrCV1bCcakMrdbRj/MSQvnfY7/jwY0T2
GIbNsyWwObqxaAYNj7P1Kmz5ww8/PHv2zDNDZkefpCumNrfE+h9YOhvgcRlDwNAYGx0eHnpcz8Ss
zFB3EpZTzaNV5mvnmJiqjd7swT2Y3R8bLGpr8iDK195+Nr+a3hUWjzbYyilz67ioapibZtBGpMWY
WCNRTR/2/3LqNaF/viEzYPQHqVAZHuHLXs1oIe44E0urpnlwolWvE0UjqlQtPrPEAbUw7l9IHMTS
qrnV9KqGHHJnqCRQboCO6UmmYphTsbRq9L85OG8Fd/PRfkUI4p00laH1PliYhKVVA4Xq3u+2DOo8
lpsZ4U7FDlRTkOr9cceoWv3ryxzQp5Lik7352IFqcje8Lz/1WvkuMuDy/hPhvV9gmIQdqOZ2Ufep
erpgXwRCdzbDKhXUkG8ZW1tu9B7x6G7rHWgbaI7Gi4G6MkzyqxtDsf4HdmBr4H2uT7dVDMcTsSxX
GWaB7Cl2o5p3z721Fc+zTTlax0yScoHQthvVnLqt6beZu/Aa2CG63bp1a4ESZAeq0auLF+28LHdF
fQT1fzS/dZtmYqXiZRd33vnYgWr0DWylO5P6iAoVWgOWUopmIjkIx1T9EQ8+F5YVElhGmQifmaCT
1tRA/UcdWz+LUgp503MLVI42Gut/YGdx7fj4WN+9qNRlequjMgiFo6MjD/9s+YsdGzgSpZJG64OH
ppoMrWZ6pbTEbC6B2eukyAe7HinpCnFAW28gaxVdjrw91v/ALm3NqVdtFYuLlvXkyRNbmp8dq5ap
Eup+qiPUY9/k7Fg1zRrVn2O2DgMcjdtjGl2AHauGIphJq4f6sKHy/FRvfBMcFxuBit3HNSqPVtVk
RFBRRKpVnsXMxO5VkyiVwWOXar7LAkOogrWolp/Xdfxl3Xrgm4PdqyZLqahWN6Xl3RN2r5pPXms1
CblCHrq8e8LuVZOxeOxPIvdkbLC8e8LuVevCJ3KbgpJ29V79QqPOBrtXTUPR5sxHxYhUwS08Hois
xdaaJVulTMP63n333c8//9zWF2cVqhHRm0G9a5ilPHDnzp1duSesQjWcEfMpnNTDWSFo7wsiC7Ci
bFA4adccrzZTNNwVO1ZN0rRWqh7Xirf4UI08UIl6C7Bj1W7cuOHDySKQtdrarobrBTtW7fHjxx9t
YLmoy1onQsRuDQ12rBp58NPNPxOdAav0CTW17Ax7fpDAnj3MgFQgV9r6Bl0e+A8EK5kWmy2A9T+w
CtVAD5X9cdQPjX9Cwk2SLdWyGNb/wFpUk0xU/FqNbstqfCxQedA3E9b/wFrqNQI89cTz039h7tWr
V2qnkWR6//59r3WLoncnrEU10Be3Vfp7jfb+++/fvn374ODAB/M7mRoqWJFqMiJsTeYm/vGPf2CA
+h4RNN9Z2w3mqQnMy+dE77YoSxK/XCNWlWefDf+XlbfH+h9Yl2ogi7OVTf2hd5QRUWouj/U/sDrV
lD31vozsS+07xPofuMB/XFmG/JZbwuCUvElyODo6Iocu+dpLKxcuXLClU1aUDRxVZ/qGsQ856+89
L8waVUOp4hvcZNXr16/bygpYhWr+LSgnjs/xVvLA7kfsgVWo9vTpU2KZrWyIk2uYHpVtHFTtnFWo
hiLIFP+Jg6jaClmFalgTifKzzz7zUUGcoUTNOFpYBZv6I4VVL7MhH+Qvy6p1gXBG8cFfbbMTrP+B
1Y2oNFnEyEnhX4MqSbkrrP+BdVUeqHZwcPDRRx/xV49Ukj8PuDDrUg0YElDQxndx8Vac1FbWwRpH
VM7FixfxU0amPkLYCedjRCWUNzG03UrWynpV00PlzO9gL896VdO/IlH/JY9dsV7V9FXj/I9KLsl6
VVM4K15jWAnrVU1D0dWNpTasVzVNQ8bHyethvappKLrCsgPWq5py6BreJ22yXtV2+LJyL+tVTfiU
0apYu2rrZL2qqfLY12vDUPbc+YvLraxXtfpPCOyW9aq2rzzGoMpjDe/4NVmvamI/NhjGmh8kr1c1
WVnzFZA1sHYP3ddrvxzWq9o6R6Bivaq5b8Z3jVbCOfDQVb1bKtarmlceKyx016ua17dre8kDzoGH
rrD4OAeqrXCQsF7VvPLYZ4NfCOtVbZ0za2K9ql27dk0v5a5wkLBe1T788MOTkxMWNKm7Ks5BXBvx
Q51zs88GYzgHqu3rtcHouxprY9VvzsPly5cZUf1f+AGe5TlPb84LDULXlhDORzZY25vga/dQBqGY
226jW9ND167aGjh/cW2d7FUbw161MQyIa3ucva2NYa/aGPaqDeett/4f8j6abjy9lq0AAAAASUVO
RK5CYIJ=
3semi-erect INCLUDEPICTURE \d "wordml://97.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://97.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAL8AAAFuCAIAAABfnV5vAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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5spreading Ad. 40: Panicle: exsertion INCLUDEPICTURE \d "wordml://98.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://98.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAPwAAACwCAIAAACkU5QnAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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2partly exserted INCLUDEPICTURE \d "wordml://99.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://99.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAPAAAAC9CAIAAAAC8Wd3AAAAAXNSR0IArs4c6QAAAARnQU1BAACx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3just exserted INCLUDEPICTURE \d "wordml://100.png" \* MERGEFORMATINET INCLUDEPICTURE "wordml://100.png" \* MERGEFORMATINET iVBORw0KGgoAAAANSUhEUgAAAL4AAADHCAIAAAAoO37DAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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==
4well exserted Ad. 42: Leaf: time of senescence The leaves below the flag leaf are observed at the time of harvest for their retention of greenness. 3 - early: Leaves are dead when the grains have become fully ripened.5 - medium: There must be 1 leaf which retains its color.7 - late: 2 or more leaves retain their color at maturity. Ad. 45: Lemma: coloration with phenol Method of testing: Place hulls from 10 grains into a petri dish of 5cm diameter, and add 5ml of 1.5% phenol solution. Cover the petri dish, and keep at room temperature (not very cold) for one day. Ad. 46: Glume: length The measurement is made on longer glumes. Ad. 48: Grain: weight of 1000 seeds To be calculated at 14% moisture. Ad. 51: Grain: ratio length/width 1 - small: <1.502 - small to medium: 1.50-1.993 - medium: 2.00-2.494 - medium to large: 2.50-2.995 - large: ≧3.00 Ad. 55: Decorticated grain: ratio length/width See Ad. 51 TG/16/9(proj.1)RICE, 2017-05-05PAGE31 Ad. 57: Decorticated grain: alkali digestion Put 10 milled complete (unbroken) rice grains in a petri dish with 1.5% solution of KOH, and keep still under room temperature of around 25 degree for about 24 hours.1 - not digested: Rice grains are not affected.3 - low digested: Only the margin of the grains are dissolved.5 - intermediate: Shape of grains become unclear, but incompletely dissolved.7 - completely digested: No margin is identified between the core part and the outer skirt. Ad. 58: Decorticated grain: aroma The main component of the aroma in rice is the 2-acetyl-1-pirroline (AcPy). To vaporize this chemical, 10ml of a 1.7% solution of KOH should be added to 2g of decorticated grains. The aroma, which is similar to that in pop-corn, is released within 10 minutes. The level of expression is determined by reference to the example varieties. Ad. 59: Endosperm: type The three states of expression can be simply defined by reaction to KI-I solution which is prepared by mixing 0.1 % I2 solution and 0.2 % KI solution.1 - glutinous: endosperm is stained to reddish purple.2 - intermediate: endosperm is stained to reddish blue purple.3 - non-glutinous: endosperm is stained to dark blue purple. Ad. 60: Endosperm: content of amylose Method ISO 6647 should be used. TG/16/9(proj.1)RICE, 2017-05-05PAGE328.38.3 Decimal code for the growth stage codes of cereals Germination 00 Dry seed01 Start of imbibition02 -03 Imbibition complete04 -05 Radicle emerged from caryopsis06 -07 Coleoptile emerged from caryopsis08 -09 Leaf just at coleoptile tip Seedling growth 10 First leaf through coleoptile11 First leaf unfolded (1)12 2 leaves unfolded13 3 leaves unfolded14 4 leaves unfolded15 5 leaves unfolded16 6 leaves unfolded17 7 leaves unfolded18 8 leaves unfolded19 9 or more leaves unfolded Germination 20 Main shoot only21 Main shoot and 1 tiller22 Main shoot and 2 tillers23 Main shoot and 3 tillers24 Main shoot and 4 tillers25 Main shoot and 5 tillers26 Main shoot and 6 tillers27 Main shoot and 7 tillers28 Main shoot and 8 tillers29 Main shoot and 9 or more tillers Stem elongation 30 Pseudo stem erection (2)31 1st node detectable 32 2nd node detectable33 3rd node detectable34 4th node detectable35 5th node detectable36 6th node detectable37 Flag leaf just visible38 -39 Flag leaf ligule/collar just visible Booting 40 -41 Flag leaf sheath extending42 -43 Boots just visibly swollen44 -45 Boots swollen46 -47 Flag leaf sheath opening48 -49 First awns visible Inflorescence emergence 50 First spikelet of inflorescence just visible51 52 1/4 of inflorescence emerged53 54 1/2 of inflorescence emerged55 56 3/4 of inflorescence emerged57 58 Emergence of inflorescence completed59 Anthesis60 Beginning of anthesis61 62 -63 -64 Anthesis half-way65 66 -67 -68 Anthesis complete69 Milk development 70 -71 Caryopsis watery ripe72 -73 Early milk74 -75 Medium milk 76 -77 Late milk78 -79 - Dough development 80 -81 -82 -83 Early dough84 -85 Soft dough86 -87 Hard dough88 - 89 - Ripening 90 -91 Caryopsis hard (difficult to divide by thumbnail) (3)92 Caryopsis hard (can no longer be dented by thumbnail) (4)93 Caryopsis loosening in daytime94 Over-ripe, straw dead and collapsing Ripening (continued) 95 Seed dormant96 Viable seed giving 50% germination97 Seed not dormant98 Secondary dormancy induced99 Secondary dormancy lostNotes on the table(1) Stage of seedling inoculation with rust in the greenhouse.(2) Only applicable to cereals with a prostrate or semi-prostrate early growth habit.(3) Ripeness for binder (ca. 16% water content). Chlorophyll of inflorescence largely lost.(4) Ripeness for combine harvester (< 16% water content).(5) Optimum harvest time.TG/16/9(proj.1)RICE, 2017-05-05PAGE35 9.Literature Matsuo, T. (edit.), 1993-97: Science of the Rice Plant. Nosan Gyoson Bunka Kyokai. Tokyo, JPVol. 1 Morphology (1993)Vol. 2 Physiology (1995)Vol. 3 Genetics (1997)Zadoks, J.C., Chang, T.T., Konzak, C.F., 1974: A Decimal code for the Growth Stages of Cereals. Weed Research. NL, 14: pp. 415 – 421.TG/16/9(proj.1)RICE, 2017-05-05PAGE3610.Technical Questionnaire TECHNICAL QUESTIONNAIREPage {x} of {y}Reference Number: Application date:(not to be filled in by the applicant)TECHNICAL QUESTIONNAIREto be completed in connection with an application for plant breeders' rights 1.Subject of the Technical Questionnaire 1.1Botanical nameOryza sativa L. 1.2Common nameRice 2.Applicant Name Address Telephone No. Fax No. E-mail address Breeder (if different fromapplicant) 3.Proposed denomination and breeder's reference Proposed denomination(if available) Breeder's reference TG/16/9(proj.1)RICE, 2017-05-05PAGE37TECHNICAL QUESTIONNAIREPage {x} of {y}Reference Number: #4.Information on the breeding scheme and propagation of the variety 4.1Breeding scheme Variety resulting from:4.1.1 Crossing(a) controlled cross [ ] (please state parent varieties) (…………………..……………..…) x (……………..…………………..…)female parent male parent(b) partially known cross [ ] (please state known parent variety(ies)) (…………………..……………..…) x (……………..…………………..…)female parent male parent(c) unknown cross [ ]4.1.2 Mutation [ ](please state parent variety) 4.1.3 Discovery and development [ ](please state where and when discovered and how developed) 4.1.4 Other [ ](please provide details) TG/16/9(proj.1)RICE, 2017-05-05PAGE38#Authorities may allow certain of this information to be provided in a confidential section of the Technical Questionnaire.TECHNICAL QUESTIONNAIREPage {x} of {y}Reference Number: 4.2Method of propagating the variety TC "Seed-propagated varieties" \f C \l "1"4.2.1Seed-propagated varieties(a)Self-pollination[ ](b)Hybrid[ ](c)[ ](d)Other (please provide details)[ ] 4.2.2Other(Please provide details)[ ] In the case of hybrid varieties the production scheme for the hybrid should be provided on a separate sheet. This should provide details of all the parent lines required for propagating the hybrid e.g.Single Hybrid (…………………..……………..…) x (……………..…………………..…) female parent male parent Three-Way Hybrid (…………………..……………..…) x (……………..…………………..…) female parent male parent (…………………..……………..…) x (……………..…………………..…) single hybrid used as female parent male parent and should identify in particular:(a) any male sterile lines(b) maintenance system of male sterile lines.TG/16/9(proj.1)RICE, 2017-05-05PAGE39TECHNICAL QUESTIONNAIREPage {x} of {y}Reference Number: 5.Characteristics of the variety to be indicated (the number in brackets refers to the corresponding characteristic in Test Guidelines; please mark the note which best corresponds). CharacteristicsExample VarietiesNote TC "4" \f C \l "1"5.1(4)Leaf: anthocyanin colorationabsentkoshihikari1 [ ]presentmurasakikoboshi, sayomurasaki9 [ ] TC "18" \f C \l "1"5.2(18)Time of heading (50% of plants with heads)very early1 [ ]early3 [ ]medium5 [ ]late7 [ ]very late9 [ ] TC "25" \f C \l "1"5.3(25)Excluding deepwater/floating varieties: Stem: length (excluding panicle)very short1 [ ]short3 [ ]medium5 [ ]long7 [ ]very long9 [ ] TC "33" \f C \l "1"5.4(33)Panicle: length of main axisshort3 [ ]mediumbenizomemochi, koshihikari, leafstar5 [ ]longmomiroman7 [ ] TC "34" \f C \l "1"5.5(34)Lemma: color of tipwhitekoshihikari1 [ ]yellowish2 [ ]brownkoshinokaori, leafstar3 [ ]red4 [ ]purplemurasakikoboshi, sayomurasaki5 [ ]black6 [ ]TG/16/9(proj.1)RICE, 2017-05-05PAGE40CharacteristicsExample VarietiesNote TC "52" \f C \l "1"5.6(52)Decorticated grain: weight of 1000 seedslowsari queen3 [ ]mediumkoshihikari, leafstar, takanari5 [ ]high7 [ ] TC "56" \f C \l "1"5.7(56)Decorticated grain: colorwhite1 [ ]light brownkoshihikari, takanari2 [ ]variegated brown3 [ ]dark brownleafstar4 [ ]light red5 [ ]redbenizomemochi6 [ ]variegated purple7 [ ]purple8 [ ]dark purple/ blackmurasakikoboshi, sayomurasaki9 [ ] TC "59" \f C \l "1"5.8(59)Endosperm: typeglutinousbenizomemochi, sayomurasaki1 [ ]intermediate2 [ ]non-glutinouskoshihikari, momiroman, takanari3 [ ]TG/16/9(proj.1)RICE, 2017-05-05PAGE41TECHNICAL QUESTIONNAIREPage {x} of {y}Reference Number: 6.Similar varieties and differences from these varietiesPlease use the following table and box for comments to provide information on how your candidate variety differs from the variety (or varieties) which, to the best of your knowledge, is (or are) most similar. This information may help the examination authority to conduct its examination of distinctness in a more efficient way. Denomination(s) of variety(ies) similar to your candidate varietyCharacteristic(s) in which your candidate variety differs from the similar variety(ies)Describe the expression of the characteristic(s) for the similar variety(ies)Describe the expression of the characteristic(s) for your candidate varietyExamplePanicle: length of main axislongshort to medium Comments: TG/16/9(proj.1)RICE, 2017-05-05PAGE42TECHNICAL QUESTIONNAIREPage {x} of {y}Reference Number: #7.Additional information which may help in the examination of the variety 7.1In addition to the information provided in sections 5 and 6, are there any additional characteristics which may help to distinguish the variety?Yes[ ]No[ ](If yes, please provide details) 7.2 Are there any special conditions for growing the variety or conducting the examination?Yes[ ]No[ ](If yes, please provide details) 7.3 Other information TG/16/9(proj.1)RICE, 2017-05-05PAGE43#Authorities may allow certain of this information to be provided in a confidential section of the Technical Questionnaire.TECHNICAL QUESTIONNAIREPage {x} of {y}Reference Number: 8.Authorization for release(a)Does the variety require prior authorization for release under legislation concerning the protection of the environment, human and animal health?Yes[ ]No[ ](b)Has such authorization been obtained?Yes[ ]No[ ]If the answer to (b) is yes, please attach a copy of the authorization. 9. Information on plant material to be examined or submitted for examination 9.1The expression of a characteristic or several characteristics of a variety may be affected by factors, such as pests and disease, chemical treatment (e.g. growth retardants or pesticides), effects of tissue culture, different rootstocks, scions taken from different growth phases of a tree, etc. 9.2 The plant material should not have undergone any treatment which would affect the expression of the characteristics of the variety, unless the competent authorities allow or request such treatment. If the plant material has undergone such treatment, full details of the treatment must be given. In this respect, please indicate below, to the best of your knowledge, if the plant material to be examined has been subjected to:(a)Microorganisms (e.g. virus, bacteria, phytoplasma)Yes [ ]No [ ](b)Chemical treatment (e.g. growth retardant, pesticide) Yes [ ]No [ ](c)Tissue cultureYes [ ]No [ ](d)Other factorsYes [ ]No [ ]Please provide details for where you have indicated “yes”. 10.I hereby declare that, to the best of my knowledge, the information provided in this form is correct: Applicant’s name SignatureDate [End of document]TG/16/9(proj.1)RICE, 2017-05-05PAGE44