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Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines

Estimating genetic trends using historical data is an important parameter to check the success of the breeding programs. The estimated genetic trends can act as a guideline to target the appropriate breeding strategies and optimize the breeding program for improved genetic gains. In this study, 17 y...

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Autores principales: Khanna, Apurva, Anumalla, Mahender, Catolos, Margaret, Bartholomé, Jérôme, Fritsche-Neto, Roberto, Platten, John Damien, Pisano, Daniel Joseph, Gulles, Alaine, Sta. Cruz, Ma Teresa, Ramos, Joie, Faustino, Gem, Bhosale, Sankalp, Hussain, Waseem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898209/
https://www.ncbi.nlm.nih.gov/pubmed/35247120
http://dx.doi.org/10.1186/s12284-022-00559-3
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author Khanna, Apurva
Anumalla, Mahender
Catolos, Margaret
Bartholomé, Jérôme
Fritsche-Neto, Roberto
Platten, John Damien
Pisano, Daniel Joseph
Gulles, Alaine
Sta. Cruz, Ma Teresa
Ramos, Joie
Faustino, Gem
Bhosale, Sankalp
Hussain, Waseem
author_facet Khanna, Apurva
Anumalla, Mahender
Catolos, Margaret
Bartholomé, Jérôme
Fritsche-Neto, Roberto
Platten, John Damien
Pisano, Daniel Joseph
Gulles, Alaine
Sta. Cruz, Ma Teresa
Ramos, Joie
Faustino, Gem
Bhosale, Sankalp
Hussain, Waseem
author_sort Khanna, Apurva
collection PubMed
description Estimating genetic trends using historical data is an important parameter to check the success of the breeding programs. The estimated genetic trends can act as a guideline to target the appropriate breeding strategies and optimize the breeding program for improved genetic gains. In this study, 17 years of historical data from IRRI’s rice drought breeding program was used to estimate the genetic trends and assess the breeding program's success. We also identified top-performing lines based on grain yield breeding values as an elite panel for implementing future population improvement-based breeding schemes. A two-stage approach of pedigree-based mixed model analysis was used to analyze the data and extract the breeding values and estimate the genetic trends for grain yield under non-stress, drought, and in combined data of non-stress and drought. Lower grain yield values were observed in all the drought trials. Heritability for grain yield estimates ranged between 0.20 and 0.94 under the drought trials and 0.43–0.83 under non-stress trials. Under non-stress conditions, the genetic gain of 0.21% (10.22 kg/ha/year) for genotypes and 0.17% (7.90 kg/ha/year) for checks was observed. The genetic trend under drought conditions exhibited a positive trend with the genetic gain of 0.13% (2.29 kg/ha/year) for genotypes and 0.55% (9.52 kg/ha/year) for checks. For combined analysis showed a genetic gain of 0.27% (8.32 kg/ha/year) for genotypes and 0.60% (13.69 kg/ha/year) for checks was observed. For elite panel selection, 200 promising lines were selected based on higher breeding values for grain yield and prediction accuracy of > 0.40. The breeding values of the 200 genotypes formulating the core panel ranged between 2366.17 and 4622.59 (kg/ha). A positive genetic rate was observed under all the three conditions; however, the rate of increase was lower than the required rate of 1.5% genetic gain. We propose a recurrent selection breeding strategy within the elite population with the integration of modern tools and technologies to boost the genetic gains in IRRI’s drought breeding program. The elite breeding panel identified in this study forms an easily available and highly enriched genetic resource for future recurrent selection programs to boost the genetic gains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12284-022-00559-3.
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spelling pubmed-88982092022-03-08 Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines Khanna, Apurva Anumalla, Mahender Catolos, Margaret Bartholomé, Jérôme Fritsche-Neto, Roberto Platten, John Damien Pisano, Daniel Joseph Gulles, Alaine Sta. Cruz, Ma Teresa Ramos, Joie Faustino, Gem Bhosale, Sankalp Hussain, Waseem Rice (N Y) Original Article Estimating genetic trends using historical data is an important parameter to check the success of the breeding programs. The estimated genetic trends can act as a guideline to target the appropriate breeding strategies and optimize the breeding program for improved genetic gains. In this study, 17 years of historical data from IRRI’s rice drought breeding program was used to estimate the genetic trends and assess the breeding program's success. We also identified top-performing lines based on grain yield breeding values as an elite panel for implementing future population improvement-based breeding schemes. A two-stage approach of pedigree-based mixed model analysis was used to analyze the data and extract the breeding values and estimate the genetic trends for grain yield under non-stress, drought, and in combined data of non-stress and drought. Lower grain yield values were observed in all the drought trials. Heritability for grain yield estimates ranged between 0.20 and 0.94 under the drought trials and 0.43–0.83 under non-stress trials. Under non-stress conditions, the genetic gain of 0.21% (10.22 kg/ha/year) for genotypes and 0.17% (7.90 kg/ha/year) for checks was observed. The genetic trend under drought conditions exhibited a positive trend with the genetic gain of 0.13% (2.29 kg/ha/year) for genotypes and 0.55% (9.52 kg/ha/year) for checks. For combined analysis showed a genetic gain of 0.27% (8.32 kg/ha/year) for genotypes and 0.60% (13.69 kg/ha/year) for checks was observed. For elite panel selection, 200 promising lines were selected based on higher breeding values for grain yield and prediction accuracy of > 0.40. The breeding values of the 200 genotypes formulating the core panel ranged between 2366.17 and 4622.59 (kg/ha). A positive genetic rate was observed under all the three conditions; however, the rate of increase was lower than the required rate of 1.5% genetic gain. We propose a recurrent selection breeding strategy within the elite population with the integration of modern tools and technologies to boost the genetic gains in IRRI’s drought breeding program. The elite breeding panel identified in this study forms an easily available and highly enriched genetic resource for future recurrent selection programs to boost the genetic gains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12284-022-00559-3. Springer US 2022-03-05 /pmc/articles/PMC8898209/ /pubmed/35247120 http://dx.doi.org/10.1186/s12284-022-00559-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Article
Khanna, Apurva
Anumalla, Mahender
Catolos, Margaret
Bartholomé, Jérôme
Fritsche-Neto, Roberto
Platten, John Damien
Pisano, Daniel Joseph
Gulles, Alaine
Sta. Cruz, Ma Teresa
Ramos, Joie
Faustino, Gem
Bhosale, Sankalp
Hussain, Waseem
Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
title Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
title_full Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
title_fullStr Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
title_full_unstemmed Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
title_short Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines
title_sort genetic trends estimation in irris rice drought breeding program and identification of high yielding drought-tolerant lines
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898209/
https://www.ncbi.nlm.nih.gov/pubmed/35247120
http://dx.doi.org/10.1186/s12284-022-00559-3
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