Linear Selection Indices in Modern Plant Breeding

This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic context. Further, it shows how to combine the LSI theory with the independent culling method to develop the multistage selection index theory. The final two chapters present simulation results and SAS and R codes, respectively, to estimate the parameters and make selections using some of the LSIs described. It is essential reading for plant quantitative geneticists, but is also a valuable resource for animal breeders.

Sommario

General introduction.-   The linear phenotypic selection index theory.- Constrained linear phenotypic selection indices.- Constrained linear phenotypic selection indices.-  Linear marker and genomic selection indices.- Linear genomic selection indices.- Constrained linear genomic selection indices.- Linear phenotypic eigen selection index methods.- Linear molecular and genomic eigen selection index methods.- Multistage linear selection indices.- Stochastic simulation of four linear phenotypic selection indices.- RIndSel: Selection indices with R.

Dettagli sul prodotto

• Autori: J. Jesus Céron-Rojas, José Crossa
• Con la collaborazione di: Daniel Gianola (Prefazione)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 11.10.2018
• EAN: 9783319912226
• ISBN: 978-3-31-991222-6
• Pagine: 256
• Dimensioni: 163 mm x 244 mm x 22 mm
• Peso: 580 g
• Illustrazioni: XXII, 256 p. 45 illus. in color.
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Biotechnologie, Botanik und Pflanzenwissenschaften, B, Genetik (nicht-medizinisch), bioinformatics, biotechnology, Zoology & animal sciences, Genetics and Genomics, Biomedical and Life Sciences, Botany & plant sciences, Biostatistics, Genetics (non-medical), Plant breeding, Plant Breeding/Biotechnology, Plant Biotechnology, Animal genetics, Agricultural Genetics, Animal Genetics and Genomics