Cargando…
Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes
Charcoal rot disease caused by Macrophomina phaseolina (Tassi) Goid is one of the most devastating diseases in soybean in India. During 2018, 226 diverse soybean genotypes were evaluated for genetic resistance under hot-spot conditions. Out of them, a subset of 151 genotypes were selected based on P...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235417/ https://www.ncbi.nlm.nih.gov/pubmed/37264096 http://dx.doi.org/10.1038/s41598-023-35688-2 |
_version_ | 1785052668523184128 |
---|---|
author | Amrate, Pawan K. Shrivastava, M. K. Bhale, M. S. Agrawal, Nisha Kumawat, Giriraj Shivakumar, M. Nataraj, Vennampally |
author_facet | Amrate, Pawan K. Shrivastava, M. K. Bhale, M. S. Agrawal, Nisha Kumawat, Giriraj Shivakumar, M. Nataraj, Vennampally |
author_sort | Amrate, Pawan K. |
collection | PubMed |
description | Charcoal rot disease caused by Macrophomina phaseolina (Tassi) Goid is one of the most devastating diseases in soybean in India. During 2018, 226 diverse soybean genotypes were evaluated for genetic resistance under hot-spot conditions. Out of them, a subset of 151 genotypes were selected based on Percent Disease Incidence (PDI) and better agronomic performance. Out of these 151 genotypes evaluated during 2019, 43 genotypes were selected based on PDI and superior agronomic performance for further field evaluation and molecular characterization. During 2020 and 2021, these forty-three genotypes, were evaluated for PDI, Area Under Disease Progress Curve (AUDPC), and grain yield. In 2020, genotype JS 20-20 showed least PDI (0.42) and AUDPC (9.37).Highest grain yield was recorded by the genotype JS 21-05 (515.00 g). In 2021, genotype JS 20-20 exhibited least PDI (0.00) and AUDPC (0.00).Highest grain yield was recorded in JS 20-98 (631.66 g). Across both years, JS 20-20 had the least PDI (0.21) and AUDPC (4.68), while grain yield was highest in JS 20-98 (571.67 g). Through MGIDI (multi-trait genotype-ideotype distance) analysis, JS 21-05 (G19), JS 22-01 (G43), JS 20-98 (G28) and JS 20-20 (G21) were identified as the ideotypes with respect to the traits that were evaluated. Two unique alleles, Satt588 (100 bp) on linkage group K (Chromosome no 9) and Sat_218 (200 bp) on linkage group H (Chromosome no 12), were specific for thetwo resistant genotypes JS 21-71and DS 1318, respectively. Through cluster analysis, it was observed that the genotypes bred at Jabalpur were more genetically related. |
format | Online Article Text |
id | pubmed-10235417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102354172023-06-03 Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes Amrate, Pawan K. Shrivastava, M. K. Bhale, M. S. Agrawal, Nisha Kumawat, Giriraj Shivakumar, M. Nataraj, Vennampally Sci Rep Article Charcoal rot disease caused by Macrophomina phaseolina (Tassi) Goid is one of the most devastating diseases in soybean in India. During 2018, 226 diverse soybean genotypes were evaluated for genetic resistance under hot-spot conditions. Out of them, a subset of 151 genotypes were selected based on Percent Disease Incidence (PDI) and better agronomic performance. Out of these 151 genotypes evaluated during 2019, 43 genotypes were selected based on PDI and superior agronomic performance for further field evaluation and molecular characterization. During 2020 and 2021, these forty-three genotypes, were evaluated for PDI, Area Under Disease Progress Curve (AUDPC), and grain yield. In 2020, genotype JS 20-20 showed least PDI (0.42) and AUDPC (9.37).Highest grain yield was recorded by the genotype JS 21-05 (515.00 g). In 2021, genotype JS 20-20 exhibited least PDI (0.00) and AUDPC (0.00).Highest grain yield was recorded in JS 20-98 (631.66 g). Across both years, JS 20-20 had the least PDI (0.21) and AUDPC (4.68), while grain yield was highest in JS 20-98 (571.67 g). Through MGIDI (multi-trait genotype-ideotype distance) analysis, JS 21-05 (G19), JS 22-01 (G43), JS 20-98 (G28) and JS 20-20 (G21) were identified as the ideotypes with respect to the traits that were evaluated. Two unique alleles, Satt588 (100 bp) on linkage group K (Chromosome no 9) and Sat_218 (200 bp) on linkage group H (Chromosome no 12), were specific for thetwo resistant genotypes JS 21-71and DS 1318, respectively. Through cluster analysis, it was observed that the genotypes bred at Jabalpur were more genetically related. Nature Publishing Group UK 2023-06-01 /pmc/articles/PMC10235417/ /pubmed/37264096 http://dx.doi.org/10.1038/s41598-023-35688-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Amrate, Pawan K. Shrivastava, M. K. Bhale, M. S. Agrawal, Nisha Kumawat, Giriraj Shivakumar, M. Nataraj, Vennampally Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes |
title | Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes |
title_full | Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes |
title_fullStr | Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes |
title_full_unstemmed | Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes |
title_short | Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes |
title_sort | identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235417/ https://www.ncbi.nlm.nih.gov/pubmed/37264096 http://dx.doi.org/10.1038/s41598-023-35688-2 |
work_keys_str_mv | AT amratepawank identificationandgeneticdiversityanalysisofhighyieldingcharcoalrotresistantsoybeangenotypes AT shrivastavamk identificationandgeneticdiversityanalysisofhighyieldingcharcoalrotresistantsoybeangenotypes AT bhalems identificationandgeneticdiversityanalysisofhighyieldingcharcoalrotresistantsoybeangenotypes AT agrawalnisha identificationandgeneticdiversityanalysisofhighyieldingcharcoalrotresistantsoybeangenotypes AT kumawatgiriraj identificationandgeneticdiversityanalysisofhighyieldingcharcoalrotresistantsoybeangenotypes AT shivakumarm identificationandgeneticdiversityanalysisofhighyieldingcharcoalrotresistantsoybeangenotypes AT natarajvennampally identificationandgeneticdiversityanalysisofhighyieldingcharcoalrotresistantsoybeangenotypes |