New cycle, same old mistakes? Overlapping vs. discrete generations in long-term recurrent selection
Marlee R. Labroo; Jessica Rutkoski · 2022 · BMC Genomics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Recurrent selection is a foundational breeding method for quantitative trait improvement. It typically features rapid breeding cycles that can lead to high rates of genetic gain. Usually, generations are discrete in recurrent selection, which means that breeding candidates are evaluated and considered for selection for only one cycle. Alternately, generations can overlap, with breeding candidates considered for selection as parents for multiple cycles. With recurrent genomic selection but not phenotypic selection, candidates can be re-evaluated by using genomic estimated breeding v
Abstract by Marlee R. Labroo; Jessica Rutkoski, BMC Genomics (2022) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s12864-022-08929-3