Genomic selection in plant breeding: Key factors shaping two decades of progress
Universidad de Colima · Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria · +3 more institutions
Abstract
Genomic selection, the application of genomic prediction (GP) models to select candidate individuals, has significantly advanced in the past two decades, effectively accelerating genetic gains in plant breeding. This article provides a holistic overview of key factors that have influenced GP in plant breeding during this period. We delved into the pivotal roles of training population size and genetic diversity, and their relationship with the breeding population, in determining GP accuracy. Special emphasis was placed on optimizing training population size. We explored its benefits and the associated diminishing returns beyond an optimum size. This was done while considering the balance between resource…
Citation impact
- FWCI
- 125.84
- Percentile
- 100%
- References
- 337
Authors
12Topics & keywords
- Biology
- Genomic selection
- Selection (genetic algorithm)
- Key (lock)
- Biotechnology
- Evolutionary biology
- Computational biology
- Genetics
- Zero hunger