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- Title
Optimization of Selective Phenotyping and Population Design for Genomic Prediction.
- Authors
Heslot, Nicolas; Feoktistov, Vitaliy
- Abstract
Genomic prediction, the joint analysis of high-density molecular marker data and phenotype to predict the performance of individuals for breeding purpose, is now a method used in routine in many plant and animal breeding programs. This opens several new design questions such as how to select a subset of preexisting individuals for phenotyping based on the molecular marker data to estimate marker effects with the highest precision, in hybrid species, how to choose the hybrids combination to create and phenotype to best predict the performance of the unobserved hybrid combinations and last from a list of individuals, which new populations of individuals to create to optimize marker effects estimation with a budget constraint. Those three designs questions are interrelated and critical to improve the efficiency of breeding. In this article we present efficient optimization methods to answer those three designs questions. Validation results using real data and simulations are presented. Results show that in several situations significant gain in precision of evaluation of selection candidates and marker effects are possible to help increase further the efficiency of plant breeding.
- Subjects
FORECASTING; ANIMAL breeding; PLANT breeding; GLOBAL optimization
- Publication
Journal of Agricultural, Biological & Environmental Statistics (JABES), 2020, Vol 25, Issue 4, p579
- ISSN
1085-7117
- Publication type
Article
- DOI
10.1007/s13253-020-00415-1