نتایج جستجو برای: genotype environment interaction path analysis

تعداد نتایج: 3790469  

ژورنال: علوم زراعی ایران 2020

Selection of adapted genotypes with high seed yield and yield stability is the goal of soybean breeding programs. To evaluate the adaptability and seed yield stability of soybean promising lines, 19 promising lines and cv. Williams as check were evaluated using randomized complete block design with four replications in four locations: Karaj, Gorgan, Moghan and Khoramabad in Iran during two grow...

ژورنال: علوم آب و خاک 2006
حمید دهقانی, , رحمت‌الله کریمی‌زاده, , زیبنده دهقانپور, ,

To facilitate the interpretation of data from a genotype by environment experiment (GE), a cluster method is proposed to group genotypics according to their response to the environments especially when the GE interaction is large. The interaction structure of two-way classification data often can be identified if the data stratified into homogeneous subsets. In this paper four GE interaction cl...

E. Malan H.A. Smit K.F. Solomon, W.J. Du Toit

The objectives of this study were to assess the genotype (G) by environment (E) interaction of grain yield of durum wheat(Triticum durum Desf.) based on parametric models, additive main effects and multiplicative interaction (AMMI) and joint linear regression models; and compare the relative efficiency of the two models in explaining the GE effects. Twenty-three genotypes were evaluated across ...

حمید دهقانی, , رحمت‌الله کریمی‌زاده, , زیبنده دهقانپور, ,

To facilitate the interpretation of data from a genotype by environment experiment (GE), a cluster method is proposed to group genotypics according to their response to the environments especially when the GE interaction is large. The interaction structure of two-way classification data often can be identified if the data stratified into homogeneous subsets. In this paper four GE interaction cl...

   Testing plant varieties under different regions is necessary to assess their stability. In this study, 17 sugar beet genotypes were evaluated in a randomized complete block design with six replications in five regions including Karaj, Hamedan, Miandoab, Mashhad, and Shiraz. After checking the homogeneity of mean squares in five experiments by Bartlett’s test, analysis of the combined was per...

باصفا, محمود , طاهریان, مجید ,

  The objectives of this study were to analyze genotype by environment (GE) interactions effects on the forage yield of 8 corn hybrids by computing AMMI analysis and evaluating genotype (G), environments (E) and GE interactions using stability parameter i.e., AMMI stability value(ASV) and Wrick,s ecovalance (W2i). Experiments were conducted at five regions (karaj, Neysahbur, Gorgan, Brojerd and...

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...

ژورنال: علوم زراعی ایران 2021

The aim of this study was to evaluate the efficiency of yield stability analysis models and to assess genotype × environment interaction effect on grain yield of 20 durum wheat genotypes for identifying high yielding and adapted genotypes by BLU and AMMI models using experimental data of four cropping cycles (2009-2013) in five filed stations in warm rainfed regions of Iran. The results of Like...

ژورنال: علوم زراعی ایران 2021

One of the most important challenges for plant breeding has always been genotype × environment interaction. In present study, genotype × environment interaction was invesitigated for 13 winter oilseed rape genotypes in six cold and temperate cold locations in Iran using non- parametric statistical methods during 2014-2017 growing seasons. Four methods; Hildebrand, Bredenkamp, Kubinger, and De K...

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