Show simple item record

Chapter 9. Multistage linear selection indices

Author: Ceron Rojas, J.J.
Author: Crossa, J.
Year: 2018
ISBN: 978-3-319-91222-6 (Print)
ISBN: 978-3-319-91223-3 (Online)
URI: https://hdl.handle.net/10883/19808
Abstract: Multistage linear selection indices select individual traits available at different times or stages and are applied mainly in animals and tree breeding, where the traits under consideration become evident at different ages. The main indices are: the unrestricted, the restricted, and the predetermined proportional gain selection index. The restricted and predetermined proportional gain indices allow null and predetermined restrictions to be imposed on the trait expected genetic gain (or multi-trait selection response) values, whereas the rest of the traits remain changed without any restriction. The three indices can use phenotypic, genomic, or both sets of information to predict the unobservable net genetic merit values of the candidates for selection and all of them maximize the selection response, the expected genetic gain for each trait, have maximum accuracy, are the best predictor of the net genetic merit, and provide the breeder with an objective rule for evaluating and selecting several traits simultaneously. The theory of the foregoing indices is based on the independent culling method and on the linear phenotypic selection index, and is described in this chapter in the phenotypic and genomic selection context. Their theoretical results are validated in a two-stage breeding selection scheme using real and simulated data.
Format: PDF
Language: English
Publisher: Springer
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Book Chapter
Place of Publication: Switzerland
Pages: 207-230
DOI: 10.1007/978-3-319-91223-3_9
Agrovoc: LINEAR MODELS
Agrovoc: SELECTION CRITERIA
Agrovoc: GENETICS
Agrovoc: PHENOTYPIC VARIATION
Journal: Linear selection indices in modern plant breeding


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

Show simple item record