Genotype × Environment interactions of Nagina22 rice mutants for yield traits under low phosphorus, water limited and normal irrigated conditions

Abstract

Multi environment testing helps identify stable genotypes especially for adverse abiotic stress situations. In the era of climate change and multiple abiotic stresses, it becomes important to analyze stability of rice lines under both irrigated and stress conditions. Mutants are an important genetic resource which can help in revealing the basis of natural variation. We analyzed 300 EMS induced mutants of aus rice cultivar Nagina22 (N22) for their G × E interaction and stability under low phosphorus (P), water limited and irrigated conditions. Environmental effect and interaction were more significant than genotypic contribution on grain yield (GY), productive tillers (TN) and plant height (PH) under these three environmental conditions in dry season, 2010. GY and TN were more affected by low P stress than by water limited condition, but PH was not significantly different under these two stresses. Mutants G17, G209, G29, G91, G63 and G32 were stable for GY in decreasing order of stability across the three environments but G254 and G50 were stable only in low P, G17 and G45 only in water limited and G295 and G289 only in normal irrigated condition. We then selected and evaluated 3 high yielding mutants, 3 low yielding mutants and N22 for their stability and adaptability to these 3 environments in both wet and dry seasons for six years (2010–2015). The most stable lines based on the combined analysis of 12 seasons were G125 (NH210) under normal condition, G17 (NH686), G176 (NH363) and G284 (NH162) in low P condition and G176 (NH363) under water limited condition. G176 was the best considering all 3 conditions. When screened for 15 Pup1 gene-specific markers, G176 showed alleles similar to N22. While two other low-P tolerant lines G17 and G65 showed N22 similar alleles only at k-1 and k-5 but a different allele or null allele at 13 other loci. These stable mutants are a valuable resource for varietal development and to discover genes for tolerance to multiple abiotic stresses.

Development of Novel Blackgram (Vigna mungo (L.) Hepper) Mutants and Deciphering Genotype × Environment Interaction for Yield-Related Traits of Mutants

“…Rita et al [23] studied G × E interaction for 14 genotypes for yield and its component traits. G × E interactions for yield traits in rice using mutant populations were previously reported by Poli et al [24] and Oladosu et al [25]; such interactions for seed yield in chickpea were reported by Atta et al [26].…”

“…Five plants at random were taken from each plot in each replication under each environment to record the nine yield-related traits. Biometric observations were recorded using the methodology employed by Poli et al [24] in rice and Rita et al [23] in blackgram. As per the model described by Zobel et al [30] and Crossa [31], the AMMI analysis was employed to evaluate associations between genotypes, environment, and G × E interaction.…”

Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature

“…The existence of crossover and non-crossover GEI in multi-environment testing is widespread, especially in multi-location trials 27 . Which-won-where graphs of GGE biplot address different factors like crossover GE, mega-environment differentiation and specific adaptation 24 , 28 – 30 . Based on GGE biplot analysis, the testing environments were classified into three mega-environments, comprising early (E1A and E2A), medium (E1B and E2B) and late (E1C and E2C).…”

Assessment of Genotype x Environment Interactions of Chickpea Genotypes to High Temperature Tolerance under Different Environmental Conditions

“…Thus, the study on yield stability and G x E interaction necessitates the consistency of chickpea grain yield to develop a variety that respond optimally and reliably in different environmental conditions over the years [9]. Hence, the effects of G x E interaction to be considered for the development of variety [10]. In order to estimate G x E interaction, the stability analysis can be examined in replicated trails over various environments following environment wise analysis of variance.…”