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Books > Science & Mathematics > Biology, life sciences > Botany & plant sciences > Plant reproduction & propagation

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Linear Selection Indices in Modern Plant Breeding (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R1,469
Discovery Miles 14 690
Linear Selection Indices in Modern Plant Breeding (Paperback, Softcover reprint of the original 1st ed. 2018): J. Jesus...

Linear Selection Indices in Modern Plant Breeding (Paperback, Softcover reprint of the original 1st ed. 2018)

J. Jesus Ceron-Rojas, Jose Crossa; Foreword by Daniel Gianola

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Loot Price R1,469 Discovery Miles 14 690 | Repayment Terms: R138 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: December 2018
First published: 2018
Authors: J. Jesus Ceron-Rojas • Jose Crossa
Foreword by: Daniel Gianola
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Paperback
Pages: 256
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-03-008202-4
Categories: Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal reproduction
Books > Science & Mathematics > Biology, life sciences > Botany & plant sciences > Plant reproduction & propagation > General
LSN: 3-03-008202-4
Barcode: 9783030082024

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