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   系統號碼947698
   書刊名Genes, environments and interactions [electronic resource] : evolutionary and quantitative genetics brought up-to-date /
   主要著者Alvarez-Castro, Jose M.
   其他著者SpringerLink (Online service);臺灣學術電子書聯盟 (TAEBC)
   出版項Cham : Imprint: Springer, 2023.
   索書號QH452.7
   ISBN9783031411595
   標題Quantitative genetics.
Evolutionary Genetics.
Mathematical and Computational Biology.
Evolutionary Biology.
Ecological Genetics.
Population Genetics.
Evolutionary Theory.
   電子資源https://doi.org/10.1007/978-3-031-41159-5
   
    
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內容簡介Genetic effects are the core concepts from which quantitative genetics and the evolutionary synthesis emerged. The groundbreaking theory of genetic effects was first proposed over a century ago. This book revises that theory, both conceptually and mathematically, and brings it up-to-date. The theory here compiled is supplemented with non-previously-published developments covering the broadest spectrum of simultaneously multiallelic and multilocus architectures with autosomal and sex-linked loci Arbitrary interactions (dominance, gene-gene, gene-environment, gene-sex, and parent-of-origin interactions) are accounted for Both effects of allele substitutions from the reference of individual genotypes and in the context of populations are worked out Populations are considered regardless of any departures from equilibrium frequencies (including both departures from Hardy-Weinberg, departures from linkage equilibrium, and non-random associations between/among genes and environments) All developments are derived under the same mathematical framework, so that transformations of genetic effects between different contexts are easily allowed In brief, this book enables novel applications to current empirical paradigms (like gene-mapping and genomic prediction) while adhering to the classical conceptualization of genetic effects and variance decomposition that let quantitative genetics and the evolutionary synthesis flourish. All relevant concepts are carefully clarified and discussed from a historical perspective. The theoretical developments presented in the book are illustrated by built-in cases and applications with real data. Reassuringly, the adequacy of the theory here presented is corroborated based on the fundamentals of model development.

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