In plant breeding and agricultural research, biplot analysis has become an important
statistical technique. The goal of this study was to find the winning genotype (s) for the test …

Recent predictions on climate change indicate that high temperature episodes are expected
to impact rice production and productivity worldwide. The present investigation was …

Biplot analysis has emerged as a crucial statistical method in plant breeding and agricultural
research. The objective of this research was to identify the best-performing genotype (s) for …

In order to ensure an ongoing and long-term breeding progress of soybean, stable sources
of major quality traits across multi-environments need to be identified. Here, a panel of 135 …

Genotype× environment (G× E) interaction is an important source of variation in soybean
yield, which can significantly influence selection in breeding programs. This study aimed to …

The study was aimed to evaluate the adaptability and stability of the soybean genotypes
based on the seed yield and the other observed characteristics in the sites cultivated second …

In the present study, performance of five promising soybean genotypes over 4 locations
during kharif 2013, 2014 and 2015 were investigated using GGE biplot analysis. Location …

Soybean is grown in the wide range of environments in Indonesia, hence the genotype and
environment interaction is become one of major complication in the breeding programs. The …

The multi‐environmental trials aid breeders in selecting the best genotypes for specific or
general adaptability to different environments before commercial release. This study aimed …

The variable cowpea productivity across different environments demands evaluating the
performance of genotypes in a breeding program prior to their release. The aim of this study …