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Linear Selection Indices in Modern Plant Breeding - J. Jesus Céron-Rojas, José Crossa

Linear Selection Indices in Modern Plant Breeding

Buch | Hardcover
XXII, 256 Seiten
2018
Springer International Publishing (Verlag)
978-3-319-91222-6 (ISBN)
CHF 74,85 inkl. MwSt

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.


J. Jesus Ceron-Rojas and José Crossa HiriartCIMMYT, Biometrics and Statistics Unit, Apdo. Postal 6-641, 06600 Mexico DF, Mexico

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.

Erscheinungsdatum
Vorwort Daniel Gianola
Zusatzinfo XXII, 256 p. 45 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 577 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Naturwissenschaften Biologie
Schlagworte best linear unbiased predictor • BLUP • genomic selection • genomic tools • linear selection index • LSI • Marker-assisted selection • multitrait selection • open access • phenotypic selection • quantitative traits • selection index theory
ISBN-10 3-319-91222-4 / 3319912224
ISBN-13 978-3-319-91222-6 / 9783319912226
Zustand Neuware
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