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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 (Hardcover, 1st ed. 2018) Loot Price: R1,667

Discovery Miles 16 670

Repayment Terms: R156 pm x 12*

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Linear Selection Indices in Modern Plant Breeding (Hardcover, 1st ed. 2018): J. Jesus Ceron-Rojas, Jose Crossa

Linear Selection Indices in Modern Plant Breeding (Hardcover, 1st ed. 2018)

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

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Loot Price R1,667 Discovery Miles 16 670 | Repayment Terms: R156 pm x 12*

Expected to ship within 12 - 19 working days

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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 International Publishing AG
Country of origin:	Switzerland
Release date:	October 2018
First published:	2018
Authors:	J. Jesus Ceron-Rojas • Jose Crossa
Foreword by:	Daniel Gianola
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	256
Edition:	1st ed. 2018
ISBN-13:	978-3-319-91222-6
Categories:	Books > Professional & Technical > Biochemical engineering > Biotechnology > Genetic engineering Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General Books > Science & Mathematics > Biology, life sciences > Botany & plant sciences > Plant reproduction & propagation > General Promotions
LSN:	3-319-91222-4
Barcode:	9783319912226