Linear Selection Indices in Modern Plant Breeding

Author:   J. Jesus Céron-Rojas ,  José Crossa ,  Daniel Gianola
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
ISBN:  

9783319912226


Pages:   256
Publication Date:   11 October 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Linear Selection Indices in Modern Plant Breeding


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Overview

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.

Full Product Details

Author:   J. Jesus Céron-Rojas ,  José Crossa ,  Daniel Gianola
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Weight:   0.588kg
ISBN:  

9783319912226


ISBN 10:   3319912224
Pages:   256
Publication Date:   11 October 2018
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

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

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