Realized genetic gain in rice: achievements from breeding programs

Genetic improvement is crucial for ensuring food security globally. Indeed, plant breeding has contributed significantly to increasing the productivity of major crops, including rice, over the last century. Evaluating the efficiency of breeding strategies necessitates a quantification of this progre...

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Autores principales: Seck, Fallou, Covarrubias Pazaran, Giovanny Eduardo, Gueye, Tala, Bartholome, Jérôme
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/137968
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author Seck, Fallou
Covarrubias Pazaran, Giovanny Eduardo
Gueye, Tala
Bartholome, Jérôme
author_browse Bartholome, Jérôme
Covarrubias Pazaran, Giovanny Eduardo
Gueye, Tala
Seck, Fallou
author_facet Seck, Fallou
Covarrubias Pazaran, Giovanny Eduardo
Gueye, Tala
Bartholome, Jérôme
author_sort Seck, Fallou
collection Repository of Agricultural Research Outputs (CGSpace)
description Genetic improvement is crucial for ensuring food security globally. Indeed, plant breeding has contributed significantly to increasing the productivity of major crops, including rice, over the last century. Evaluating the efficiency of breeding strategies necessitates a quantification of this progress. One approach involves assessing the genetic gain achieved through breeding programs based on quantitative traits. This study aims to provide a theoretical understanding of genetic gain, summarize the major results of genetic gain studies in rice breeding, and suggest ways of improving breeding program strategies and future studies on genetic gain. To achieve this, we present the concept of genetic gain and the essential aspects of its estimation. We also provide an extensive literature review of genetic gain studies in rice (Oryza sativa L.) breeding programs to understand the advances made to date. We reviewed 29 studies conducted between 1999 and 2023, covering different regions, traits, periods, and estimation methods. The genetic gain for grain yield, in particular, showed significant variation, ranging from 1.5 to 167.6 kg/ha/year, with a mean value of 36.3 kg/ha/year. This translated into a rate of genetic gain for grain yield ranging from 0.1% to over 3.0%. The impact of multi-trait selection on grain yield was clarified by studies that reported genetic gains for other traits, such as plant height, days to flowering, and grain quality. These findings reveal that while breeding programs have achieved significant gains, further improvements are necessary to meet the growing demand for rice. We also highlight the limitations of these studies, which hinder accurate estimations of genetic gain. In conclusion, we offer suggestions for improving the estimation of genetic gain based on quantitative genetic principles and computer simulations to optimize rice breeding strategies.
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spelling CGSpace1379682025-12-08T09:54:28Z Realized genetic gain in rice: achievements from breeding programs Seck, Fallou Covarrubias Pazaran, Giovanny Eduardo Gueye, Tala Bartholome, Jérôme genetic gain selection responses quantitative genetics rice breeding programs Genetic improvement is crucial for ensuring food security globally. Indeed, plant breeding has contributed significantly to increasing the productivity of major crops, including rice, over the last century. Evaluating the efficiency of breeding strategies necessitates a quantification of this progress. One approach involves assessing the genetic gain achieved through breeding programs based on quantitative traits. This study aims to provide a theoretical understanding of genetic gain, summarize the major results of genetic gain studies in rice breeding, and suggest ways of improving breeding program strategies and future studies on genetic gain. To achieve this, we present the concept of genetic gain and the essential aspects of its estimation. We also provide an extensive literature review of genetic gain studies in rice (Oryza sativa L.) breeding programs to understand the advances made to date. We reviewed 29 studies conducted between 1999 and 2023, covering different regions, traits, periods, and estimation methods. The genetic gain for grain yield, in particular, showed significant variation, ranging from 1.5 to 167.6 kg/ha/year, with a mean value of 36.3 kg/ha/year. This translated into a rate of genetic gain for grain yield ranging from 0.1% to over 3.0%. The impact of multi-trait selection on grain yield was clarified by studies that reported genetic gains for other traits, such as plant height, days to flowering, and grain quality. These findings reveal that while breeding programs have achieved significant gains, further improvements are necessary to meet the growing demand for rice. We also highlight the limitations of these studies, which hinder accurate estimations of genetic gain. In conclusion, we offer suggestions for improving the estimation of genetic gain based on quantitative genetic principles and computer simulations to optimize rice breeding strategies. 2023-12 2024-01-18T08:32:39Z 2024-01-18T08:32:39Z Journal Article https://hdl.handle.net/10568/137968 en Open Access application/pdf Springer Seck, F., Covarrubias-Pazaran, G., Gueye, T. et al. Realized Genetic Gain in Rice: Achievements from Breeding Programs. Rice 16, 61 (2023). https://doi.org/10.1186/s12284-023-00677-6
spellingShingle genetic gain
selection responses
quantitative genetics
rice
breeding programs
Seck, Fallou
Covarrubias Pazaran, Giovanny Eduardo
Gueye, Tala
Bartholome, Jérôme
Realized genetic gain in rice: achievements from breeding programs
title Realized genetic gain in rice: achievements from breeding programs
title_full Realized genetic gain in rice: achievements from breeding programs
title_fullStr Realized genetic gain in rice: achievements from breeding programs
title_full_unstemmed Realized genetic gain in rice: achievements from breeding programs
title_short Realized genetic gain in rice: achievements from breeding programs
title_sort realized genetic gain in rice achievements from breeding programs
topic genetic gain
selection responses
quantitative genetics
rice
breeding programs
url https://hdl.handle.net/10568/137968
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AT bartholomejerome realizedgeneticgaininriceachievementsfrombreedingprograms