Population improvement via recurrent selection drives genetic gain in upland rice breeding

Castro, Adriano Pereira de; Breseghello, F.; Furtini, Isabela Volpi; Utumi, M. M.; Pereira, J. A.; Cao, Tuong-Vi; Bartholome, Jérôme

doi:10.1038/s41437-023-00636-3

Cited by 4 publications

(1 citation statement)

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“…The developed elite pool can be readily used in a rapid, recurrent selection-based breeding strategy to quickly re-cycle the lines for enhanced genetic gains. Recurrent selection is critical to increase the frequency of favorable additive alleles of grain yield and enhance genetic gains (Breseghello et al 2009 ; Morais Júnior et al 2015 , 2017 , 2018 ; Grenier et al 2015 ; Abdulmalik et al 2017 ; Gorjanc et al 2018 ; Bijma et al 2020 ; Ramasubramanian and Beavis 2020 ; Juma et al 2021 ; Baertschi et al 2021 ; Khanna et al 2022a ; Pereira de Castro et al 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Genetic gains in IRRI’s rice salinity breeding and elite panel development as a future breeding resource

Khanna,

Anumalla,

Ramos

et al. 2024

Theor Appl Genet

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Key message Estimating genetic gains and formulating a future salinity elite breeding panel for rice pave the way for developing better high-yielding salinity tolerant lines with enhanced genetic gains. Abstract Genetic gain is a crucial parameter to check the breeding program's success and help optimize future breeding strategies for enhanced genetic gains. To estimate the genetic gains in IRRI’s salinity breeding program and identify the best genotypes based on high breeding values for grain yield (kg/ha), we analyzed the historical data from the trials conducted in the IRRI, Philippines and Bangladesh. A two-stage mixed-model approach accounting for experimental design factors and a relationship matrix was fitted to obtain the breeding values for grain yield and estimate genetic trends. A positive genetic trend of 0.1% per annum with a yield advantage of 1.52 kg/ha was observed in IRRI, Philippines. In Bangladesh, we observed a genetic gain of 0.31% per annum with a yield advantage of 14.02 kg/ha. In the released varieties, we observed a genetic gain of 0.12% per annum with a 2.2 kg/ha/year yield advantage in the IRRI, Philippines. For the Bangladesh dataset, a genetic gain of 0.14% per annum with a yield advantage of 5.9 kg/ha/year was observed in the released varieties. Based on breeding values for grain yield, a core set of the top 145 genotypes with higher breeding values of > 2400 kg/ha in the IRRI, Philippines, and > 3500 kg/ha in Bangladesh with a reliability of > 0.4 were selected to develop the elite breeding panel. Conclusively, a recurrent selection breeding strategy integrated with novel technologies like genomic selection and speed breeding is highly required to achieve higher genetic gains in IRRI’s salinity breeding programs.

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Section: Discussionmentioning

confidence: 99%

Genetic gains in IRRI’s rice salinity breeding and elite panel development as a future breeding resource

Khanna,

Anumalla,

Ramos

et al. 2024

Theor Appl Genet

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Simple recurrent selection-mediated improvement in quantitative traits of white onion

Mahajan,

Bhandari,

Singh

et al. 2024

Vegetos

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Realized Genetic Gain in Rice: Achievements from Breeding Programs

Seck,

Covarrubias-Pazaran,

Gueye

et al. 2023

Rice

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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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Population improvement via recurrent selection drives genetic gain in upland rice breeding

Cited by 4 publications

References 51 publications

Genetic gains in IRRI’s rice salinity breeding and elite panel development as a future breeding resource

Genetic gains in IRRI’s rice salinity breeding and elite panel development as a future breeding resource

Simple recurrent selection-mediated improvement in quantitative traits of white onion

Realized Genetic Gain in Rice: Achievements from Breeding Programs

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