نتایج جستجو برای: genotype environment interaction

تعداد نتایج: 1115852  

Journal: :Conference on Applied Statistics in Agriculture 1991

Journal: :فصلنامه علمی اکوفیزیولوژی گیاهان زراعی 0
بهروز واعظی عضو هیات علمی و محقق غلات و گیاهان علوفه ای رحمت اله محمدی محقق غلات اصغر مهربان محقق غلات طهماسب حسین پور محقق غلات نرگس رحمانی مقدم کارشناس آفات و بیماریها

genetic× environment interaction for genetic, plant breeder and animal breeding is very important. insight of g×e helps to plant breeders for genotypes evaluating precisely until select the best genotypes and release the stable genotypes for general and special environments. present study in order to achievement to high yield and yield stable in the different years, was done on the 20 advance b...

Journal: :علوم گیاهان زراعی ایران 0
خداداد مصطفوی استادیار، دانشکدۀ کشاورزی و منابع طبیعی، دانشگاه آزاد اسلامی، واحد کرج، البرز، ایران سید صادق حسینی ایمنی پژوهشگر معاونت مؤسسۀ تحقیقات برنج کشور، آمل مرتضی فیروزی دانش آموخته کارشناسی ارشد، دانشگاه آزاد اسلامی ، واحد بیرجند، بیرجند، ایران

selection of favorite cultivars and lines affected with genotype- environment interaction dramatically. in order to study of genotype × environment interaction in rice, 12 lines with 2 commercial cultivars as check (neda and fajr) was studied in 9 different environments (3 location and 3 years). the experiment was randomized complete block design (rcbd) with three replications. the differences ...

Journal: :crop breeding journal 2011
h. zali e. farshadfar s. h. sabaghpour

the objective of this study was to compare non-parametric stability procedures, and to apply different non-parametric tests for genotype × environment interaction (g×e) on seed yield data of 17 chickpea genotypes grown during 2004-05 growing seasons in 10 rainfed environments in iran. the non-parametric measures used for g × e interaction were highly significant (p

Additive main effect and multiplicative interaction (AMMI) and best linear unbiased prediction (BLUP) are two methods for analyzing multi-environment trials (MET). In this study, seven selected rice lines were evaluated along with two check varieties based on randomized complete block design in Tonekabon, Amol and Sari (Iran) in three growing seasons of 2011-14. To quantify the genotypic stabil...

ژورنال: علوم زراعی ایران 2022

Combinining features of the best linear unbiased predictions (BLUP) and additive main effects and multiplicative interaction (AMMI) through “Weighted average of absolutescores of best linear unbiased predictions” (WAASB) index in multi-environment experiments may lead to more percise evaluation of genotypes and assessment of genotype × environment interaction. In the present study, the seed yiel...

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