Linear Selection Indices in Modern Plant Breeding
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Beschreibung
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.
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.
Published with open access Explains how various types of linear selection indices can be constructed, interpreted, optimized and applied Invaluable resource for plant and animal breeders Written by leading experts
Autor*in
J. Jesus Céron-Rojas
Themen in »Linear Selection Indices in Modern Plant Breeding«
quantitative traits genomic selection selection index theory marker-assisted selection linear selection index best linear unbiased predictor phenotypic selection multitrait selection genomic tools Open Access LSI BLUP