the objective of this research was to evaluate and to quantify the magnitude of the genotype environment interaction effects on mung bean grain yield and to determine the winning genotype for the test environments. seven mung bean genotypes were tested at three locations for over two years. the grain yield data for each environment (location year combination) was first subjected to analysis of ...

the diallel cross design is frequently utilized to obtain information on genetic effects, estimates of general and specific combining ability (gca and sca) and to identify promising heterotic combinations as well as heterotic patterns. in the present study, heterotic crosses were identified for specific alkaloids in opium poppy (papaver somniferum l.) following yan’s gge biplot model by use of ...

this research was investigated to analyze genotype × environment (ge) interaction for grain yield in durum wheat multi-environment trials (met) conducted in dryland agricultural research stations (dari) using gge (g + ge interaction) biplot methodology and joint regression analysis (b +  s2di). the environment, ge interaction and genotype effects were accounted for 84%, 7.7% and 2.3% of total s...

This paper proposes an alternative method for evaluating the stability and adaptability of maize hybrids using a genotype-ideotype distance index (GIDI) for selection. Data from seven variables were used, obtained through evaluation of 25 maize hybrids at six sites in southern Brazil. The GIDI was estimated by means of the generalized Mahalanobis distance for each plot of the test. We then proc...

This short article is to comment on the methodology and conclusions of Yang et al. (2009) concerning the use of biplots to reveal crossover genotype-by-environment interaction (GE) patterns, which was published in Crop Science. Yan et al. (2007) applied GGE (genotypic main effect plus genotype-by-environment interaction) biplot analysis to an Ontario winter wheat dataset and concluded that ther...

Multi-environment trials (METs) of crop genotypes are costly and require efficient test sites for cost effectiveness. This study aimed to identify efficient test sites for METs of sugarcane (Saccharum spp.) genotypes in Thailand, utilizing data from 10 sugarcane genotypes conducted at nine locations covering different sugarcane growing regions of the country for two crop-classes. Cluster an...