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Selecting superior groundnut (Arachis hypogaea L.) genotypes using multi-trait selection indices | ||
| Journal of Plant Physiology and Breeding | ||
| مقاله 3، دوره 14، شماره 1، 2024، صفحه 33-50 اصل مقاله (946.24 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22034/jppb.2024.60718.1331 | ||
| نویسندگان | ||
| Farooq Fadakar Navrood1؛ Rasool Asghari Zakaria* 2؛ Marefat Mostafavi Rad3؛ Nasser Zare4؛ Mina Moghaddaszadeh Ahrabi5 | ||
| 1Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, University of Mohaghgh Ardabili, Ardabil, Iran | ||
| 2Department of Agronomy and Plant Breeding, University of Mohaghegh Ardabili, Ardabil, Iran | ||
| 3Department of Horticulture and Agronomy, Agricultural and Natural Resources Research and Education Center of Guilan Province, Agricultural Research, Education and Extension Organization (AREEO), Rasht, Iran | ||
| 4Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, University of Mohaghgh Ardabili, Ardabil, Iran. | ||
| 5Department of Cellular and Molecular Biology, Faculty of Biology, Mizan University of Tabriz, Tabriz, Iran | ||
| چکیده | ||
| Objective: Groundnut (Arachis hypogaea L.) is an annual oilseed and proteinous crop whose production is mainly affected by genotype × environment interactions, making it hard to select superior genotypes. The multi-trait selection indices have been used to choose genotypes based on multiple traits. Methods: In this study, 11 groundnut genotypes were evaluated based on a randomized complete block design with three replications in three locations, Talesh, Masal, and Rasht, Guilan province, Iran, during two growing seasons (2019-2020 and 2020-2021). Variance components were estimated using the restricted maximum likelihood method, and factor analysis was applied to grouping the traits. Multi-trait genotype-ideotype distance index (MGIDI) and ideal genotype selection index (IGSI) were calculated to select superior genotypes using 16 agronomical characteristics. Results: Although by considering the 30% selection intensity, the genotypes selected by the MGIDI and IGSI indices in the three locations were somewhat different, the ICG192 groundnut genotype was selected as a superior genotype in all three areas based on both MGIDI and IGSI indices. Conclusion: The results revealed relative compliance between the MGIDI and IGSI indices in the selection of superior genotypes, and they may be used for genotype selection based on multiple traits. | ||
| کلیدواژهها | ||
| Genotype-ideotype distance index (MGIDI)؛ Ideal genotype selection index (IGSI)؛ Multi-environment؛ Restricted maximum likelihood (REML) | ||
| مراجع | ||
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