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All Journal Journal of Agriculture and Applied Biology Journal of Agriculture and Applied Biology ( JAAB) Makara Journal of Science
Bhandari, Radhakrishna
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education

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AMMI and GGE biplot analysis of yield performance of wheat genotypes under irrigated, heat stress and heat drought environments Timalsina, Bibisha; Ghimire, Sweksha; Roka, Puja; Poudel, Rashmi; Sapkota, Sushma; Bhattarai, Kriti; Aryal, Anil; Ganesh , G. C.; Neupane, Kapil; Gautam, Pratik; Pariyar, Manoj Kumar; Sharma, Surakshya; Chaudhary, Eishaina; Poudel, Mukti Ram; Bhandari, Radhakrishna
Journal of Agriculture and Applied Biology Vol 4 No 2 (2023): Journal of Agriculture and Applied Biology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jaab.04.02.09

Abstract

Wheat is the third most important cereal crop in Nepal. The impact of global warming is threatening global wheat production and food security. The terminal heat stress reduces the grain quality of wheat. However, the drought is affecting more than 15% of global wheat productivity. To find out the stable and high- yielding wheat genotype the experiment was carried out in Rupandehi, Nepal with twenty genotypes under three different environmental conditions namely heat drought, heat stress and irrigated in an alpha lattice design with two replications in each environment. The AMMI (Additive mean effect multiplicative interaction) biplot analysis shows differences in 20 different genotypes in terms of yield and stability. The analysis of variance model showed the share of GE (genotype and environment) interaction in the variation in grain yield of twenty wheat genotypes. The grain yield of genotype varied significantly with environmental impact (p ). The AMMI stability value (ASV) examined NL1387 as the most stable line. The tested environments were discriminative for genotype and showed negative correlation between them. The GGE biplot analysis was conducted to find out the best performing line under different environments and the stable line in diverse environments. The NL1420 was found stable genotype in all three tested environment. The NL1376 line is most ideal ranking first in the ranking biplot. The mean versus stability model indicated NL1369 and NL1376 as elite genotypes and NL 1404, BL4919 and NL1387 can be recommended as new cultivars.
AMMI and GGE biplot analysis of yield performance of wheat genotypes under irrigated, heat stress and heat drought environments Timalsina, Bibisha; Ghimire, Sweksha; Roka, Puja; Poudel, Rashmi; Sapkota, Sushma; Bhattarai, Kriti; Aryal, Anil; Ganesh , G. C.; Neupane, Kapil; Gautam, Pratik; Pariyar, Manoj Kumar; Sharma, Surakshya; Chaudhary, Eishaina; Poudel, Mukti Ram; Bhandari, Radhakrishna
Journal of Agriculture and Applied Biology Vol 4 No 2 (2023): Journal of Agriculture and Applied Biology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jaab.04.02.09

Abstract

Wheat is the third most important cereal crop in Nepal. The impact of global warming is threatening global wheat production and food security. The terminal heat stress reduces the grain quality of wheat. However, the drought is affecting more than 15% of global wheat productivity. To find out the stable and high- yielding wheat genotype the experiment was carried out in Rupandehi, Nepal with twenty genotypes under three different environmental conditions namely heat drought, heat stress and irrigated in an alpha lattice design with two replications in each environment. The AMMI (Additive mean effect multiplicative interaction) biplot analysis shows differences in 20 different genotypes in terms of yield and stability. The analysis of variance model showed the share of GE (genotype and environment) interaction in the variation in grain yield of twenty wheat genotypes. The grain yield of genotype varied significantly with environmental impact (p ). The AMMI stability value (ASV) examined NL1387 as the most stable line. The tested environments were discriminative for genotype and showed negative correlation between them. The GGE biplot analysis was conducted to find out the best performing line under different environments and the stable line in diverse environments. The NL1420 was found stable genotype in all three tested environment. The NL1376 line is most ideal ranking first in the ranking biplot. The mean versus stability model indicated NL1369 and NL1376 as elite genotypes and NL 1404, BL4919 and NL1387 can be recommended as new cultivars.
Phenotypic Correlation, Path Analysis, and Quantitative Trait-Based Selection of Elite Wheat Genotypes Under Heat Stress Conditions in The Terai Region of Nepal Bhandari, Radhakrishna; Panthi, Binod; Nyaupane, Shivalal; Shrestha, Sandesh; Sharma, Prabin; Gupta, Rajesh Kumar; Sahani, Sansar; Poudel, Mukti Ram
Makara Journal of Science
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Wheat is one of the most important cereal crops worldwide, but the production and productivity of wheat is affected by heat stress. A field experiment using an alpha lattice design with seven blocks was conducted on 35 elite wheat genotypes in the Terai region of Nepal to identify the most appropriate trait resulting in a high-yielding wheat genotype with high tolerance to heat stress. Correlation analysis revealed that booting-to-heading duration (BtoH), booting-to-anthesis duration (BtoA), plant height (Ph), spike length (SL), spike weight (SW), thousand grain weight (TGW), straw yield (SY), and total biomass yield (TY) had a significant positive correlation with grain yield (GY), whereas days to booting (DTB), days to heading (DTH), and days to anthesis (DTA) had significant negative correlations with GY (p ≤ 0.05). Path analysis revealed that DTB and DTA had a direct negative effect on the GY, whereas DTH had an indirect negative effect on yield via DTB. BtoA, Ph, SL, SW, and TGW had direct positive effects on yield, whereas BtoH had an indirect positive effect on yield via DTB. Principal component analysis demonstrated that high-yielding genotypes can be selected using DTB, DTH, DTA, BtoH, BtoA, and Ph. Taller and earlier genotype with long BtoH and BtoA would produce high yield under heat stress.
Co-Authors Aryal, Anil Bhattarai, Kriti Chaudhary, Eishaina Ganesh , G. C. Gautam, Pratik Ghimire, Sweksha Gupta, Rajesh Kumar Neupane, Kapil Nyaupane, Shivalal Panthi, Binod Pariyar, Manoj Kumar Poudel, Mukti Ram Poudel, Rashmi Roka, Puja Sahani, Sansar Sapkota, Sushma Sharma, Prabin Sharma, Surakshya Shrestha, Sandesh Timalsina, Bibisha