ArticleRice (New York, N.Y.)2022
Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines.
Article in Rice (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
- Article
- Linking genetic gains to food security outcomes: An assessment of IRRI'S rice breeding efforts in the Philippines and Indonesia.Food security · 2026Article
- Genomic prediction for grain yield and biotic stress resistance in field pea (Frontiers in plant science · 2026Article
- 110 years of rice breeding at LSU: realized genetic gains and future optimization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Future flooding tolerant rice germplasm: Resilience afforded beyond Sub1A gene.The plant genome · 2025Article
- A new approach for evaluating maize transgressive segregants and their three-way cross potential in the S4 convergent breeding population.BMC plant biology · 2025Article
- Development of rice water-saving and drought resistance quantitative evaluation system of wide water ecological range based on quantitative gradient water control.Frontiers in plant science · 2025Article
- Unraveling the genetic potential of Indian rice germplasm for reproductive stage drought tolerance.Frontiers in plant science · 2025Article
- Genetic progress in rice yield: preliminary insights from historically released varieties in Sub-Saharan Africa.Frontiers in plant science · 2025Article
- Advancing rice breeding for drought tolerance: a comprehensive study of traditional and mutant lines through agronomic performance and drought tolerance indices.BMC plant biology · 2024Article
- Q&A: Methods for estimating genetic gain in sub-Saharan Africa and achieving improved gains.The plant genome · 2024Article
- Genetic progress in cowpea [Vigna unguiculata (L.) Walp.] stemming from breeding modernization efforts at the International Institute of Tropical Agriculture.The plant genome · 2024Article
- SpeedFlower: a comprehensive speed breeding protocol for indica and japonica rice.Plant biotechnology journal · 2024Article
- NARO historical phenotype dataset from rice breeding.Breeding science · 2024Article
- Genetic gains in IRRI's rice salinity breeding and elite panel development as a future breeding resource.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genetic trends in the Kenya Highland Maize Breeding Program between 1999 and 2020.Frontiers in plant science · 2024Article
- Stochastic simulation to optimize rice breeding at IRRI.Frontiers in plant science · 2024Article
- A comprehensive multivariate approach for GxE interaction analysis in early maturing rice varieties.Frontiers in plant science · 2024Article
- Genetic trends in the Zimbabwe's national maize breeding program over two decades.Frontiers in plant science · 2024Article
- Realized Genetic Gain in Rice: Achievements from Breeding Programs.Rice (New York, N.Y.) · 2023Review
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13 authors.
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Abstract
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.
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