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.
Format: Paperback / softback
CONTRIBUTORS: J. Jesus Céron-Rojas
EAN: 9783030082024
COUNTRY: Switzerland
PAGES:
WEIGHT: 454 g
HEIGHT: 235 cm
PUBLISHED BY: Springer Nature Switzerland AG
DATE PUBLISHED: 2018-12-22
CITY:
GENRE: SCIENCE / Life Sciences / Botany, SCIENCE / Life Sciences / Zoology / General, SCIENCE / Life Sciences / General
WIDTH: 155 cm
SPINE:
Book Themes:
Probability and statistics, Genetics (non-medical), Botany and plant sciences, Biotechnology
J. Jesus Ceron-Rojas and José Crossa HiriartCIMMYT, Biometrics and Statistics Unit, Apdo. Postal 6-641, 06600 Mexico DF, Mexico
