Results 121 to 130 of about 11,358 (198)
The study was conducted with 14 elite genotypes of pigeon pea during kharif (June‒January) of 2018, 2019 and 2020 at Regional Agricultural Research Station, Warangal, Telangana state, India.
N. Sandhya Kishore +7 more
doaj
Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hybrids for genotype x environment interaction and seasonal adaptation [PDF]
The genotype x environment interaction influences greatly the success of breeding strategy in a multipurpose crop like sweet sorghum [Sorghum bicolor (L.) Moench].
Srinivasa Rao, P +9 more
core
Adaptability and stability of biomass sorghum genotypes using GGE Biplot
ABSTRACT The objective of this study was to evaluate the agronomic performance and select biomass sorghum genotypes for growing in different regions of Brazil based on adaptability and stability analysis using the GGE biplot method. The 25 genotypes evaluated were from trials of value for cultivation and use (VCU) of biomass sorghum of the Brazilian ...
João V. S. Guerra +7 more
openaire +2 more sources
Adaptability and yield stability of soybean genotypes by REML/BLUP and GGE Biplot [PDF]
The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil.
Lucia FerreiraGomes, Regina +3 more
core
Identifying superior genotypes in multi-environment trials is crucial for accelerating cultivar improvement and breeding innovation. This study evaluated the yield potential of 29 maize hybrids (including the control) across 10 trial locations in mid-to ...
Qingyan Zi +3 more
doaj +1 more source
Genotype × environment interaction (GEI) poses a critical challenge to plant breeders by complicating the identification of stable variety (ies) for performance across diverse environments.
Abush T. Abebe +8 more
doaj +1 more source
An Application of GGE Biplot to Cotton Variety Development
openaire +1 more source
Optimizing Chickpea Yield: GGE Biplot Analysis of Sowing Seasons
Maximizing chickpea production in varying environmental conditions is crucial for ensuring food security and agricultural sustainability. This study addresses this challenge by evaluating sixty-six chickpea genotypes across winter and spring sowing seasons over two years (2016-17 and 2017-18). Utilizing an Augmented Trial Design with three replications
openaire +2 more sources
AMMI an GGE biplot analysis of grain yield for drought-tolerant maize hybrid selection in Inner Mongolia. [PDF]
Li Y +7 more
europepmc +1 more source
Yield stability of groundnut genotypes across contrasting environments in Niger using GGE biplot analysis. [PDF]
Mahamane AO +3 more
europepmc +1 more source

