The additive main effects and multiplicative interaction (AMMI) model was used to analysis the grain yield stability of 20 soybean genotypes in four locations (Karaj, Gorgan, Moghan and ShahreKord) of Iran. Experiments were carried out based on randomized complete block design (RCBD), with three replications in 2014-2015. Result revealed that the grain yield was significantly influenced by environments (E), genotypes (G) and G × E interactions. Principal component analysis (PCA) declared three components which explained up to 90% of G x E sum square (IPCA1, IPCA2 and IPCA3 with 70.72%, 18.99% and 10.60%, respectively). AMMI multivariate method identified two genotypes (No.13 and No.8) with grain yield of 2789 and 2702 kg.ha-1 respectively,...
Genotype-environment interaction has always been an important and challenging issue for plant breede...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...
This study was carried out with 4 soybean varieties in four different locations (Adana, Antalya, Man...
The stabilities of seven agronomic traits were analyzed and the general stabilities of soybean [Glyc...
ABSTRACT This study aimed to propose a clustering methodology with bootstrap resampling using the Ad...
The study was conducted at AICRP on Soybean, Zonal Agricultural Research Station, UAS, GKVK, Bengalu...
The grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in P...
The grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in P...
The grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Pira...
Genotype by environment interaction (GEI) is a phenomenon that occurs in heterogeneous environments ...
The grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Pira...
Significant genotype x environment interaction for quantitative traits, such is grain yield, reduces...
Assessment of the stability and adaptability of a genotype to different environments is useful for r...
In the final phases of new soybean cultivar development, lines are cultivated in several locations a...
Genotype-environment interaction has always been an important and challenging issue for plant breede...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...
This study was carried out with 4 soybean varieties in four different locations (Adana, Antalya, Man...
The stabilities of seven agronomic traits were analyzed and the general stabilities of soybean [Glyc...
ABSTRACT This study aimed to propose a clustering methodology with bootstrap resampling using the Ad...
The study was conducted at AICRP on Soybean, Zonal Agricultural Research Station, UAS, GKVK, Bengalu...
The grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in P...
The grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in P...
The grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Pira...
Genotype by environment interaction (GEI) is a phenomenon that occurs in heterogeneous environments ...
The grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Pira...
Significant genotype x environment interaction for quantitative traits, such is grain yield, reduces...
Assessment of the stability and adaptability of a genotype to different environments is useful for r...
In the final phases of new soybean cultivar development, lines are cultivated in several locations a...
Genotype-environment interaction has always been an important and challenging issue for plant breede...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...