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Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance

Title: Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance
Authors: Roberto Fritsche-Neto; Marlee Labroo
Publication Year: 2024
Subject Terms: Genomic Prediction; Reciprocal Recurrent Selection; Heterotic Pools; info:eu-repo/classification/cti/6; info:eu-repo/classification/agrovoc/STOCHASTIC MODELS; info:eu-repo/classification/agrovoc/RICE; info:eu-repo/classification/agrovoc/HYBRIDS; info:eu-repo/classification/agrovoc/GENETIC IMPROVEMENT; info:eu-repo/classification/agrovoc/GENETIC GAIN; info:eu-repo/classification/agrovoc/BREEDING PROGRAMMES
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://hdl.handle.net/10883/22884
Availability: https://hdl.handle.net/10883/22884
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0
Accession Number: edsbas.60C5168A
Database: BASE