QuLinePlus: extending plant breeding strategy and genetic model simulation to cross-pollinated populations—case studies in forage breeding View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-05

AUTHORS

Valerio Hoyos-Villegas, Vivi N Arief, Wen-Hsi Yang, Mingzhu Sun, Ian H DeLacy, Brent A Barrett, Zulfi Jahufer, Kaye E Basford

ABSTRACT

Plant breeders are supported by a range of tools that assist them to make decisions about the conduct or design of plant breeding programs. Simulations are a strategic tool that enables the breeder to integrate the multiple components of a breeding program into a number of proposed scenarios that are compared by a range of statistics measuring the efficiency of the proposed systems. A simulation study for the trait growth score compared two major strategies for breeding forage species, among half-sib family selection and among and within half-sib family selection. These scenarios highlighted new features of the QuLine program, now called QuLinePlus, incorporated to enable the software platform to be used to simulate breeding programs for cross-pollinated species. Each strategy was compared across three levels of half-sib family mean heritability (0.1, 0.5, and 0.9), across three sizes of the initial parental population (10, 50, and 100), and across three genetic effects models (fully additive model, a mixture of additive, partial and over dominance model, and a mixture of partial dominance and over dominance model). Among and within half-sib selection performed better than among half-sib selection for all scenarios. The new tools introduced into QuLinePlus should serve to accurately compare among methods and provide direction on how to achieve specific goals in the improvement of plant breeding programs for cross breeding species. More... »

PAGES

1-12

References to SciGraph publications

Journal

TITLE

Heredity

ISSUE

5

VOLUME

122

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41437-018-0156-0

DOI

http://dx.doi.org/10.1038/s41437-018-0156-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107860571

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30368530


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