Genotype environment interactions for grain yield in rice under no drought and drought conditions

Abstract

Environments in sub-Saharan Africa fluctuate considerably across sites and seasons. This suggests the importance of assessing genotype x environment interaction (GEI) in cultivar development. The objective of this study was to estimate the magnitude of GEI for rice grain yield and identify high yielding and stable rice genotypes. Fifty six genotypes including 45 F 3 rice populations, their 10 parents and one check were evaluated in 7 x 8 alpha lattice design with two replications under three no drought and one random managed drought stress condition at reproductive growth stage at three sites in coast region of Kenya. The additive main effects and multiplicative interaction (AMMI) analysis and genotype plus genotype x environment interaction (GGE) biplot analysis were used to measure grain yield stability of the 45 F 3 populations and their 10 parents. Ranking of the genotypes changed in each environment and three mega environments were identified revealing a crossover type of GEI. The genotypes G39 (Luyin 46 x IR74371-54-1-1) and G40 (NERICA-L-25 x IR55423-01) were the most stable high yielding genotypes. These were identified as candidates with general adaption for advancement to homozygozity simultaneously selecting within each population good performing pure lines for release in the region.Key words: Additive main effects and multiplicative interaction (AMMI), genotype x environment interactions, genotype plus genotype x environment interaction (GGE) biplot, rice, yield stability.

Evaluation of Morpho-Physiological Traits in Rice Genotypes for Adaptation under Irrigated and Water-Limited Environments

“…The stable cultivars usually express better yields and have high adaptability across a wide range of environments. Therefore, evaluating different genotypes across different environments or growing seasons helps to identify donor germplasm with adaptive traits for drought resistance, high yields, and grain quality in target environments [23][24][25]. No such comprehensive studies have been carried out to identify donor genotypes with adaptive traits in both irrigated and drought environments in cultivars of Egyptian origin [26].…”

Pyramiding of qDTY1.1 and qDTY3.1 into rice mega-variety Samba Mahsuri-Sub1: physiological performance under water deficit conditions

“…Variation for panicle number, panicle length and test weight was significant in soil moisture stress conditions. Results by Ruth et al (2017) revealed significant variation among four environments including drought stress whereas, GXE interaction was non-significant for all the traits except tiller number, grains per panicle and harvest index. Hence, there was no environmental influence on the stability of genotypes, indicating tolerance in general.…”