scholarly journals Genotype by environment interaction and yield stability analysis of open pollinated maize varieties using AMMI model in Afar Regional State, Ethiopia

2020 ◽  
Vol 12 (1) ◽  
pp. 8-15
Author(s):  
Abate Mohammed
Keyword(s):  
Stability Analysis ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Regional State ◽  
Maize Varieties ◽  
Ammi Model

Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates

2020 ◽  
Vol 257 ◽  
pp. 107929
Author(s):  
Isadora Cristina Martins Oliveira ◽  
José Henrique Soler Guilhen ◽  
Pedro César de Oliveira Ribeiro ◽  
Salvador Alejandro Gezan ◽  
Robert Eugene Schaffert ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Environment Interaction ◽  
Environmental Covariates ◽  
Genotype By Environment ◽  
Biomass Sorghum ◽  
Factor Analytic ◽  
Analytic Models

Stability Analysis of Agronomic Traits for Maize (Zea Mays L.) Genotypes Based on Ammi Model

2021 ◽  
Vol 50 (2) ◽  
pp. 343-350
Author(s):  
Meijin Ye ◽  
Zhaoyang Chen ◽  
Bingbing Liu ◽  
Haiwang Yue
Keyword(s):  
Grain Yield ◽  
Agronomic Traits ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Kernel Weight ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
Ammi Model ◽  
The Ideal

Stability and adaptability of promising maize hybrids in terms of three agronomic traits (grain yield, ear weight and 100-kernel weight) in multi-environments trials were evaluated. The analysis of AMMI model indicated that the all three agronomic traits showed highly significant differences (p < 0.01) on genotype, environment and genotype by environment interaction. Results showed that genotypes Hengyu321 (G9), Yufeng303 (G10) and Huanong138 (G3) were of higher stability on grain yield, ear weight and 100-kernel weight, respectively. Genotypes Hengyu1587 (G8) and Hengyu321 (G9) showed good performance in terms of grain yield, whereas Longping208 (G2) and Weike966 (G12) showed broad adaptability for ear weight. It was also found that the genotypes with better adaptability in terms of 100-kernel weight were Zhengdan958 (G5) and Weike966 (G12). The genotype and environment interaction model based on AMMI analysis indicated that Hengyu1587 and Hengyu321 were the ideal genotypes, due to extensive adaptability and high grain yield under both testing sites. Bangladesh J. Bot. 50(2): 343-350, 2021 (June)

scholarly journals Genotype by environment interaction and yield stability of hybrid maize varieties evaluated in three locations of mid altitudes of Rwanda

2021 ◽  
Author(s):  
Fabrice Rwasimitana ◽  
Ngaboyisonga Claver ◽  
Ukozehasi Celestin ◽  
Eva Johansson
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ear Rot ◽  
Yield Data ◽  
Genotype By Environment ◽  
Maize Varieties ◽  
The Stability ◽  
Hybrid Maize

A multi-environment yield trial is important to understand the genotype by environment interaction and to select high performing and stable crop varieties. The aim of this study was to identify high yielding and stable hybrid maize varieties for mid altitudes of Rwanda, to compare the performance of new hybrid varieties with commercial checks, and to determine the extent of genotype by environment interaction. Maize is a staple crop used to fight hunger and malnutrition in developing countries. Different varieties have been released to increase yield including Open Pollinated Varieties (OPVs) and hybrids. Genotype by Environment interaction is an issue that all breeding program need to overcome. In the future, improved varieties will be needed in order to increase income for farmers and help in food security Field experiments were conducted to assess the performance and the stability of 27 maize varieties in the mid altitudes zone of Rwanda in the Cyabayaga, Rubona and Bugarama sites. The experimental design was alpha lattice (0,1) with a Randomized Complete Block Design (RCBD). Data were collected for a number of characters i.e. silking, Antesis-Silking Interval (ASI), plant height, plant aspect, ear per plant, husk cover, ear aspect, ear rot and grain yield. Data were analyzed by GenS Stat statistical computer package, Discovery Edition. ANOVA and AMMI analysis were applied to assess the performance and the stability of varieties and the degree of genotype by environment interaction (G×E). In addition, Principal Component Analysis (PCA) and cluster analysis were conducted to assess relationships between varieties. The results showed that RHM1706, RHMM1701, RHM1409, RHMM1707, WH509, RHMM1704, RHM407, WH101, RHMM1710, RHMM1708, PAN53 and RHM104 were stable across locations. Furthermore, the evaluated varieties were found to cluster into five groups. Varieties found to be most stable are recommended for further use.

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