£60.37

Cabi Linear Models for the Prediction of the Genetic Merit of Animals

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£65.00 £50.80 £53.90 £57.00 £60.09 £63.19 £66.29 09 June 2024 06 November 2024 05 April 2025 02 September 2025 31 January 2026

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86 days 288 days 180 days 35 days · current 13 days 0 72 144 216 288 £52-55 £55-57 £57-60 £60-62 £62-65 Days at Price

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Description

Fundamental to any livestock improvement program by animal scientists is the prediction of genetic merit in the offspring generation for desirable production traits such as increased growth rate, superior meat, milk, and wool production. Covering the foundational principles on the application of linear models for the prediction of genetic merit in livestock, this new edition is fully updated to incorporate recent advances in genomic prediction approaches, genomic models for multi-breed and crossbred performance, dominance, and epistasis. It provides models for the analysis of main production traits as well as functional traits and includes numerous worked examples. For the first time, R codes for key examples in the textbook are provided online. The book covers: The relationship between the genome and the phenotype. BLUP models for various livestock data and structure. Incorporation of related ancestral parents and metafounders in prediction models. Models for survival analysis and social interaction. Advancements in genomic prediction approaches and selection. Genomic models for multi-breed and crossbred performance. Models for non-additive genetic effects including dominance and epistasis. Estimation of genetic parameters including Gibbs sampling approaches. Computation methods for solving linear mixed model equations. Suitable for graduate and postgraduate students, researchers and lecturers of animal breeding, genetics and genomics, this established textbook provides a thorough grounding in both the basics and in new developments of linear models and animal genetics.

Key Features

New Store Stock

Product Specifications

Brand
Cabi
Format
paperback
Domain
Amazon UK
Release Date
18 September 2023
Listed Since
23 March 2023

Barcode

No barcode data available

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