Test environments and classification of regional ecological zones into mega environments are the two key components in regional testing of sugarcane cultivars. This study aims to provide the theoretical basis for test environment evaluation and ecological zone division for sugarcane cultivars. In the present study, sugarcane yield data from a three-year nationwide field trial involving 21 culti...

the aim of this study was to evaluate genotype×environment interaction (gei) of chlorophyll meter readings (spad) of ten durum wheat cultivars, using data obtained from multi-environment trials during two years, at eight locations. stability and genotypic superiority for spad reading was identified using anova and gge biplot analysis. furthermore, the interrelationships among spad reading and o...

Evaluation of Genotype × Environment Interaction for Seed Yield Sunflower Hybrids using GGE Biplot Method

Superior crop cultivars must be identified through multi-environment trials (MET) and on the basis of multiple traits. The objectives of this paper were to describe two types of biplots, the GGE biplot and the GT biplot, which graphically display genotype by environment data and genotype by trait data, respectively, and hence facilitate cultivar evaluation on the basis of MET data and multiple ...

Evaluation of Stability and Adaptability in the Selected Lines Some Iranian Eggplant (Solanum melongena L.) by AMMI GGE Biplot Methods

The aim of this study was to verify the adaptability and stability of soybean cultivars with regards to yield and oil content. Data of soybean yield and oil content were used from experiments set up in six environments in the 2011/12 and 2012/13 crop seasons in the municipalities of Patos de Minas, Uberaba, Lavras, and São Gotardo, Minas Gerais, Brazil, testing 36 commercial soybean cultivars o...

The genotype and environment interaction influences the selection criteria of sorghum (Sorghum bicolor) genotypes. Eight sweet sorghum genotypes were evaluated at five different locations in two growing seasons of 2014. The aim was to determine the interaction between genotype and environment on cane, juice, and ethanol yield and to identify best genotypes for bioethanol production in Kenya. Th...

The aims of this study were to evaluate the reaction of common bean lines to white mold, the aggressiveness of different Sclerotinia sclerotiorum isolates from various common bean production areas in Brazil, and comparison of the diallel and GGE (genotype main effect plus genotype-by-environment interaction) biplot analysis procedures via study of the line-by-isolate interaction. Eleven common ...

genotype×environment interactions (geis) can affect breeding programs because they often complicate the evaluation and selection of superior genotypes. this drawback can be reduced by gaining insights into gei processes and genotype adaptation. the objectives of this research were to evaluate: (1) the yield stability of promising wheat lines across locations and (2) the relationship among the t...

the ammi and sreg gge   are among the models that effectively capture the additive and multiplicative components of genotype × environment interaction (gei) and provide meaningful interpretation of multi-environment trials’ data set in the breeding programs. the objective of this study was to assess the effect of gei on grain yield of barely advanced lines and exploit the positive gei effect us...