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.

Highlights

  • Rice farming is the backbone of agriculture in Asia as over 90% of the world’s rice is produced and consumed in this region

  • In AMMI, the additive portion is analyzed through Analysis of Variance (ANOVA) and interaction effects through the Principal Component Analysis (PCA) model

  • ethyl methane sulphonate (EMS) induced mutagenesis can lead to discovery of very useful mutants such as G17 (NH686) and G176 (NH363) which are stably high yielding across normal and input limited stresses

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Summary

Introduction

Rice farming is the backbone of agriculture in Asia as over 90% of the world’s rice is produced and consumed in this region. Some of the common abiotic stresses that limit rice crop growth and productivity are drought, salinity, nutrient deficiency and high temperature. It is crucial for the sustainable management of water and fertilizer for agricultural production. Multi-environment evaluation of agronomic traits under stress condition is a prerequisite to identify highly tolerant rice genotypes for sustainable crop production. The prevailing situation of water scarcity and P deficiency, it is essential to identify rice genotypes that are tolerant and give stable yield in response to these abiotic stresses. GGE biplot gives more detailed graphical representation of mean values and stability and displays the which-won-where pattern of genotypes It identifies mega environments for selection and discriminating test environments[14,15,16,17,18,19]. This model was effectively used in several crops for G × E studies[22,23,24] especially for assessing grain yield

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