Special Issue on Quantitative Genetics |
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As illustrated in this special issue, quantitative genetics is a dynamic and expanding field. New developments in methodologies (molecular and statistical) coupled with new theoretical approaches (such as associative effects models where members of a group influence the trait value of a focal individual) have significant implications for evolutionary biologists, breeders, and human geneticists. Papers highlight recent findings on the genetic architecture of traits, the limitations of genomic selection, the nature of selection on QTLs in natural populations, the behaviour of additive variance in fitness, and the stability of G matrices. Bruce Walsh Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA |
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TABLE OF CONTENTS
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Volume 112, Issue 1 (January 2014) |
 | In this issue Special Issue on Quantitative Genetics
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Web Focus: Tropical Forest Genetics and Livestock in South America This special issue focuses on two very active areas of genetics research in South America: population structure and mating systems of tropical trees and the genetics of human populations and the livestock and wild animal populations on which they depend. Increasing numbers of exciting research papers are emerging from the region in these field and we would like to promote and emphasise the progress that is being made. | | | |
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Special Issue on Quantitative Genetics | Top |
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Special issues on advances in quantitative genetics: introductionB Walsh Heredity 2014 112: 1-3; 10.1038/hdy.2013.115 Full Text | PDF |
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The evolution of quantitative traits in complex environmentsJ T Anderson, M R Wagner, C A Rushworth, K V S K Prasad and T Mitchell-Olds Heredity 2014 112: 4-12; advance online publication, April 24, 2013; 10.1038/hdy.2013.33 Abstract | Full Text |
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Quantitative genetic study of the adaptive processR G Shaw and F H Shaw Heredity 2014 112: 13-20; advance online publication, May 29, 2013; 10.1038/hdy.2013.42 Abstract | Full Text |
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Comparing G: multivariate analysis of genetic variation in multiple populationsJ D Aguirre, E Hine, K McGuigan and M W Blows Heredity 2014 112: 21-29; advance online publication, March 13, 2013; 10.1038/hdy.2013.12 Abstract | Full Text |
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Entering the second century of maize quantitative geneticsJ G Wallace, S J Larsson and E S Buckler Heredity 2014 112: 30-38; advance online publication, March 6, 2013; 10.1038/hdy.2013.6 Abstract | Full Text |
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Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictionsT Druet, I M Macleod and B J Hayes Heredity 2014 112: 39-47; advance online publication, April 3, 2013; 10.1038/hdy.2013.13 Abstract | Full Text |
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Genomic prediction in CIMMYT maize and wheat breeding programs OPENJ Crossa, P Pérez, J Hickey, J Burgueño, L Ornella, J Cerón-Rojas, X Zhang, S Dreisigacker, R Babu, Y Li, D Bonnett and K Mathews Heredity 2014 112: 48-60; advance online publication, April 10, 2013; 10.1038/hdy.2013.16 Abstract | Full Text |
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The quantitative genetics of indirect genetic effects: a selective review of modelling issuesP Bijma Heredity 2014 112: 61-69; advance online publication, March 20, 2013; 10.1038/hdy.2013.15 Abstract | Full Text |
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Competition as a source of constraint on life history evolution in natural populationsA J Wilson Heredity 2014 112: 70-78; advance online publication, February 27, 2013; 10.1038/hdy.2013.7 Abstract | Full Text |
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Post-GWAS: where next? More samples, more SNPs or more biology?P Marjoram, A Zubair and S V Nuzhdin Heredity 2014 112: 79-88; advance online publication, June 12, 2013; 10.1038/hdy.2013.52 Abstract | Full Text |
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