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This research aims to improve early selection accuracy and genetic gain in a public rice breeding program.

December 20, 2025Crop ScienceOpen Access

Use of historical data improves early selection in a public rice breeding program

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Evaluation demonstrates improved predictive ability for grain yield in a breeding program using historical data.

This research aims to improve early selection accuracy and genetic gain in a public rice breeding program.
Incorporated historical data through multi‐environment analysis for early selection.
Assessed two breeding goals: line advancement and parent selection.
Used phenotypic data and pedigree records for evaluation.
Investigated five prediction strategies involving historical data.
Conducted joint analysis of multiple trials across environments.
Enhanced predictive ability for early selection of parents and line advancement.
Modeling genotype by environment interaction did not consistently improve predictive ability.
Improved estimations of variance components were obtained from joint analyses.

Scheffel et al. (2025) studied this question.

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