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 con...

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Bibliographic Details
Main Author: Céron-Rojas, J. Jesus (auth)
Other Authors: Crossa, José (auth)
Format: eBook
Published: Cham Springer Nature 2018
Subjects:
Online Access:Get fulltext
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020 |a 978-3-319-91223-3 
024 7 |a 10.1007/978-3-319-91223-3  |c doi 
041 0 |h English 
042 |a dc 
100 1 |a Céron-Rojas, J. Jesus  |e auth 
856 |z Get fulltext  |u http://library.oapen.org/handle/20.500.12657/22934 
700 1 |a Crossa, José  |e auth 
245 1 0 |a Linear Selection Indices in Modern Plant Breeding 
260 |a Cham  |b Springer Nature  |c 2018 
300 |a 1 electronic resource (256 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons 
546 |a English 
650 7 |a Life sciences: general issues  |2 bicssc 
650 7 |a Plant reproduction & propagation  |2 bicssc 
650 7 |a Animal reproduction  |2 bicssc 
653 |a Life sciences 
653 |a Biostatistics 
653 |a Plant breeding 
653 |a Animal genetics