Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) Genotypes
Genotype environment interaction and stability performance were investigated on grain yield per plot in eight environments during <i>Rabi</i> (here, rabi means that a crop has been grown in Rabi season: crops that are sown in winter and harvested in spring in the Indian subcontinent) 201...
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MDPI AG
2022-07-01
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| Online Access: | https://www.mdpi.com/2077-0472/12/7/1002 |
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| author | Vijeta Gupta Mukesh Kumar Vikram Singh Lakshmi Chaudhary Shikha Yashveer Ravika Sheoran Mohinder Singh Dalal Ashish Nain Kavita Lamba Nikhil Gangadharaiah Rajat Sharma Shreya Nagpal |
| author_facet | Vijeta Gupta Mukesh Kumar Vikram Singh Lakshmi Chaudhary Shikha Yashveer Ravika Sheoran Mohinder Singh Dalal Ashish Nain Kavita Lamba Nikhil Gangadharaiah Rajat Sharma Shreya Nagpal |
| author_sort | Vijeta Gupta |
| collection | DOAJ |
| description | Genotype environment interaction and stability performance were investigated on grain yield per plot in eight environments during <i>Rabi</i> (here, rabi means that a crop has been grown in Rabi season: crops that are sown in winter and harvested in spring in the Indian subcontinent) 2019–2020 and 2020–2021 using 100 diverse wheat genotypes. Research was conducted at Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana in India. The analysis of variance revealed that genotype, environment and their interaction had a highly significant effect on the yield as reflected in Eberhart and Russel model and The Eberhart and Russell model indicated the suitability of the genotypes WH 1142, PBW 661, PBW 475 and DBW 17 with high mean, bi > 1 and non-significant deviation from regression to favorable environment, whereas the genotypes UP 2660 and DBW 88 with high mean, bi < 1 and non-significant deviation from regression were found suitable for poor environment. The Additive Main Effects and Multipicative Interaction (AMMI) analysis of variance for grain yield per plot across the environments showed that 26.41% of the total variation was attributed to genotypic effects, 70.22% to environmental effects and 3.37% to genotype × environment interaction effects. AMMI biplot study indicated the genotypes PBW 750, DPW 621-50, WH 542, PBW 486, PBW 661 and WH 1192 stable across the environments as they did not exert strong interactive forces; hence, they were selected as potential candidates for possible release in the study areas. Furthermore, the which-won–where model indicated the adaptation of genotypes PBW 706, PBW 769, DBW 116, WH 1157, WH 789 and WH1186 to first mega-environment and genotypes DBW 16, WH 1152, WH 1105 and PBW 503 in the second. These genotypes could be utilized in breeding programs to improve grain yield in bread wheat and may be used as stable breeding material for commercial cultivation. |
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| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T03:49:43Z |
| publishDate | 2022-07-01 |
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| spelling | doaj.art-a69b7539f3ac4f49aba58620b5d376ac2023-12-03T14:29:16ZengMDPI AGAgriculture2077-04722022-07-01127100210.3390/agriculture12071002Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) GenotypesVijeta Gupta0Mukesh Kumar1Vikram Singh2Lakshmi Chaudhary3Shikha Yashveer4Ravika Sheoran5Mohinder Singh Dalal6Ashish Nain7Kavita Lamba8Nikhil Gangadharaiah9Rajat Sharma10Shreya Nagpal11ICAR—Indian Institute of Wheat and Barley Research, Karnal 132001, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Molecular Biology, Biotechnology and Bioinformatics, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaDepartment of Genetics & Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125004, IndiaGenotype environment interaction and stability performance were investigated on grain yield per plot in eight environments during <i>Rabi</i> (here, rabi means that a crop has been grown in Rabi season: crops that are sown in winter and harvested in spring in the Indian subcontinent) 2019–2020 and 2020–2021 using 100 diverse wheat genotypes. Research was conducted at Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana in India. The analysis of variance revealed that genotype, environment and their interaction had a highly significant effect on the yield as reflected in Eberhart and Russel model and The Eberhart and Russell model indicated the suitability of the genotypes WH 1142, PBW 661, PBW 475 and DBW 17 with high mean, bi > 1 and non-significant deviation from regression to favorable environment, whereas the genotypes UP 2660 and DBW 88 with high mean, bi < 1 and non-significant deviation from regression were found suitable for poor environment. The Additive Main Effects and Multipicative Interaction (AMMI) analysis of variance for grain yield per plot across the environments showed that 26.41% of the total variation was attributed to genotypic effects, 70.22% to environmental effects and 3.37% to genotype × environment interaction effects. AMMI biplot study indicated the genotypes PBW 750, DPW 621-50, WH 542, PBW 486, PBW 661 and WH 1192 stable across the environments as they did not exert strong interactive forces; hence, they were selected as potential candidates for possible release in the study areas. Furthermore, the which-won–where model indicated the adaptation of genotypes PBW 706, PBW 769, DBW 116, WH 1157, WH 789 and WH1186 to first mega-environment and genotypes DBW 16, WH 1152, WH 1105 and PBW 503 in the second. These genotypes could be utilized in breeding programs to improve grain yield in bread wheat and may be used as stable breeding material for commercial cultivation.https://www.mdpi.com/2077-0472/12/7/1002AMMI biplot analysisEberhart and Russel modelGGE biplotgrain yieldstabilitywheat |
| spellingShingle | Vijeta Gupta Mukesh Kumar Vikram Singh Lakshmi Chaudhary Shikha Yashveer Ravika Sheoran Mohinder Singh Dalal Ashish Nain Kavita Lamba Nikhil Gangadharaiah Rajat Sharma Shreya Nagpal Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) Genotypes Agriculture AMMI biplot analysis Eberhart and Russel model GGE biplot grain yield stability wheat |
| title | Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) Genotypes |
| title_full | Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) Genotypes |
| title_fullStr | Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) Genotypes |
| title_full_unstemmed | Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) Genotypes |
| title_short | Genotype by Environment Interaction Analysis for Grain Yield of Wheat (<i>Triticum aestivum</i> (L.) em.Thell) Genotypes |
| title_sort | genotype by environment interaction analysis for grain yield of wheat i triticum aestivum i l em thell genotypes |
| topic | AMMI biplot analysis Eberhart and Russel model GGE biplot grain yield stability wheat |
| url | https://www.mdpi.com/2077-0472/12/7/1002 |
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