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GENETICS SELECTION EVOLUTION

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AIMS AND SCOPE

Genetics Selection Evolution is an open access, peer-reviewed, online journal
dedicated to original research on all aspects of genetics and selection in farm
animal species and in other species that provide novel and/or relevant insights
into the genetics of farm animals. Read more.


ANNOUNCING OUR EXPANSION IN SCOPE

Historically Genetics Selection Evolution has been focused on publishing studies
based on genetic and genomic data, but with vast increases in the spectrum of
other -omic data and fast evolving statistical and computing technologies, we
are extending our scope to also support contributions on other -omic data and
the use of biotechnology in animal breeding.

Please see here for a full description of our journal scope. We would like to
emphasize that contributions must include statements on the relevance of the
work to the broader readership of the journal.



© Sergey Nivens


EXPLORE THE INRAE JOURNALS PUBLISHED BY SPRINGER NATURE ON THE NEW PORTAL

Please click here for an overview of the journals and new features.




ARTICLES

 * Recent
 * Most accessed
 * Collections


 1. THE EFFECT OF PHENOTYPING, ADULT SELECTION, AND MATING STRATEGIES ON GENETIC
    GAIN AND RATE OF INBREEDING IN BLACK SOLDIER FLY BREEDING PROGRAMS
    
    Authors: Margot Slagboom, Hanne Marie Nielsen, Morten Kargo, Mark Henryon
    and Laura Skrubbeltrang Hansen
    
    Content type: Research Article 4 November 2024


 2. INVESTIGATING GENOTYPE BY ENVIRONMENT INTERACTION FOR BEEF CATTLE FERTILITY
    TRAITS IN COMMERCIAL HERDS IN NORTHERN AUSTRALIA WITH MULTI-TRAIT ANALYSIS
    
    Authors: James P. Copley, Benjamin J. Hayes, Elizabeth M. Ross, Shannon
    Speight, Geoffry Fordyce, Benjamin J. Wood and Bailey N. Engle
    
    Content type: Research Article 31 October 2024


 3. COMBINED GENOMIC EVALUATION OF MERINO AND DOHNE MERINO AUSTRALIAN SHEEP
    POPULATIONS
    
    Authors: Marine Wicki, Daniel J. Brown, Phillip M. Gurman, Jérôme Raoul,
    Andrés Legarra and Andrew A. Swan
    
    Content type: Research Article 30 September 2024


 4. QTL ANALYSIS TO IDENTIFY GENES INVOLVED IN THE TRADE-OFF BETWEEN SILK
    PROTEIN SYNTHESIS AND LARVA-PUPA TRANSITION IN SILKWORMS
    
    Authors: Rui Gao, Chunlin Li, Ang Zhou, Xiachao Wang, Kupeng Lu, Weidong
    Zuo, Hai Hu, Minjin Han, Xiaoling Tong and Fangyin Dai
    
    Content type: Research Article 30 September 2024


 5. IDENTIFICATION OF GENOMIC REGIONS ASSOCIATED WITH FATTY ACID METABOLISM
    ACROSS BLOOD, LIVER, BACKFAT AND MUSCLE IN PIGS
    
    Authors: Junhui Liu, Cristina Sebastià, Teodor Jové-Juncà, Raquel
    Quintanilla, Olga González-Rodríguez, Magí Passols, Anna Castelló, Armand
    Sánchez, Maria Ballester and Josep M. Folch
    
    Content type: Research Article 26 September 2024

Most recent articles RSS

View all articles


 1. A REVIEW ON SNP AND OTHER TYPES OF MOLECULAR MARKERS AND THEIR USE IN ANIMAL
    GENETICS
    
    Authors: Alain Vignal, Denis Milan, Magali SanCristobal and André Eggen
    
    Content type: Research 15 May 2002


 2. ANCIENT DNA STUDIES: NEW PERSPECTIVES ON OLD SAMPLES
    
    Authors: Ermanno Rizzi, Martina Lari, Elena Gigli, Gianluca De Bellis and
    David Caramelli
    
    Content type: Review 6 July 2012
    
    The Erratum to this article has been published in Genetics Selection
    Evolution 2013 45:4


 3. DIRECT AND SOCIAL GENETIC PARAMETERS FOR GROWTH AND FIN DAMAGE TRAITS IN
    ATLANTIC COD (GADUS MORHUA)
    
    Authors: Hanne M Nielsen, Brage B Monsen, Jørgen Ødegård, Piter Bijma, Børge
    Damsgård, Hilde Toften and Ingrid Olesen
    
    Content type: Research 24 January 2014


 4. ESTIMATION OF GENETIC VARIANCE FOR MACRO- AND MICRO-ENVIRONMENTAL
    SENSITIVITY USING DOUBLE HIERARCHICAL GENERALIZED LINEAR MODELS
    
    Authors: Han A Mulder, Lars Rönnegård, W Freddy Fikse, Roel F Veerkamp and
    Erling Strandberg
    
    Content type: Research 4 July 2013


 5. ACCOUNTING FOR DOMINANCE TO IMPROVE GENOMIC EVALUATIONS OF DAIRY COWS FOR
    FERTILITY AND MILK PRODUCTION TRAITS
    
    Authors: Hassan Aliloo, Jennie E. Pryce, Oscar González-Recio, Benjamin G.
    Cocks and Ben J. Hayes
    
    Content type: Research Article 1 February 2016

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2019

RETROSPECTIVE COLLECTION

Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past
five decades.

Published: 19 November 2019


2018

THEMATIC SERIES

Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide
analysis of goat biodiversity.

Published: 19 November 2018


2016

THEMATIC SERIES

International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on
Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.

Published: 29 March 2016





EDITORS-IN-CHIEF

Didier Boichard, PhD, INRAE, France
Mario Calus, PhD, Wageningen University, Netherlands
Jack Dekkers, PhD, Iowa State University, US
Thomas Faraut, PhD, INRAE, France

Managing Editor

Alexandra Badiou-Beneteau, PhD, INRAE, France


NEW THEMATIC SERIES: CELEBRATING ROHAN FERNANDO’S CONTRIBUTIONS TO QUANTITATIVE
GENETICS

On the occasion of Rohan Fernando’s retirement from his position as Professor of
Animal Science at Iowa State University, Genetics Selection Evolution is proud
to publish a special series of papers by several of Rohan’s collaborators and
colleagues (past and present) to honor his important contributions to
quantitative genetics, especially to animal breeding. Details are described in
the Editorial prepared for the series. Papers will be released as they have
successfully completed the standard peer review process.
 

Organizing Editor: Jack Dekkers , Iowa State University, United States

Read More


FEATURED ARTICLES


FEATURED: IMPROVING SELECTION DECISIONS WITH MATING INFORMATION BY ACCOUNTING
FOR MENDELIAN SAMPLING VARIANCES LOOKING TWO GENERATIONS AHEAD

Breeding programs are judged by the genetic level of animals that are used to
disseminate genetic progress. These animals are typically the best ones of the
population. To maximise the genetic level of very good animals in the next
generation, parents that are more likely to produce top performing offspring
need to be selected. The ability of individuals to produce high-performing
progeny differs because of differences in their breeding values and gametic
variances. Differences in gametic variances among individuals are caused by
differences in heterozygosity and linkage. The use of the gametic Mendelian
sampling variance has been proposed before, for use in the usefulness criterion
or Index5, and in this work, we extend existing approaches by not only
considering the gametic Mendelian sampling variance of individuals, but also of
their potential offspring. Thus, the criteria developed in this study plan one
additional generation ahead. For simplicity, we assumed that the true
quantitative trait loci (QTL) effects, genetic map and the haplotypes of all
animals are known.


FEATURED: A META-ANALYSIS OF GENETIC AND PHENOTYPIC DIVERSITY OF EUROPEAN LOCAL
PIG BREEDS REVEALS GENOMIC REGIONS ASSOCIATED WITH BREED DIFFERENTIATION FOR
PRODUCTION TRAITS

Intense selection of modern pig breeds has resulted in genetic improvement of
production traits while the performance of local pig breeds has remained lower.
As local pig breeds have been bred in extensive systems, they have adapted to
specific environmental conditions, resulting in a rich genotypic and phenotypic
diversity. This study is based on European local pig breeds that have been
genetically characterized using DNA-pool sequencing data and phenotypically
characterized using breed level phenotypes related to stature, fatness, growth,
and reproductive performance traits. These data were analyzed using a dedicated
approach to detect signatures of selection linked to phenotypic traits in order
to uncover potential candidate genes that may underlie adaptation to specific
environments.


INTRODUCING OUR NEW ASSOCIATE EDITORS

We are delighted to welcome our new Associate Editors and the expertise and the
strength they bring to the board.

Xiangdong Ding is Professor at the China Agricultural University in the
Department of Animal Breeding and Genetics. He has conducted cooperative
research and visiting studies at the University of Göttingen in Germany, Aarhus
University in Denmark, and University of California, Berkeley in the USA. His
research interests include statistical genetics, animal molecular design and
breeding, GWAS, genomic prediction, and analysis of the genetic basis of complex
traits in pigs and cattle.

Christian Maltecca is a Professor of quantitative genetics and breeding in the
Department of Animal Science at North Carolina State University, United States.
His research program focuses on the genetic improvement in livestock, the
optimization of statistical methods and breeding schemes under genomic selection
, and the effective utilization of intermediate omics in selection programs with
the use of non-parametric methods and machine learning methods.

Jesús Fernández Martín is geneticist at the National Institute of Agricultural
and Food Research and Technology (INIA), Madrid, Spain. He is involved in the
implementation of breeding programs in animal domestic species (especially
aquatic species), the design of germplasm banks and the management of ex situ
conservation programs. His research interests include: combining classical tools
with molecular information in the design and management of breeding and
conservation programs; control of inbreeding and loss of genetic diversity in
breeding and conservation programs; incorporation of new traits (fertility, feed
efficiency and disease resistance) to breeding programs; development of
statistical methodologies for genomic evaluation. Currently, he is actively
involved in the development of different measures of genetic diversity from
molecular information, the determination of their utility for different tasks
and the consequences arising from their use in the management of genetic
resources.


ABOUT THE ASSOCIATE EDITORS

Find the Bios of our Associate Editors here


ABOUT THE EDITORS-IN-CHIEF

Didier Boichard

Didier Boichard is currently leading the Cattle Genetics and Genomics research
group in the laboratory of Animal Genetics and Integrative Biology at INRAE
(French National Research Institute for Agriculture, Food and Environment) in
Jouy-en-Josas.

His research is focused on dairy cattle genetics and breeding, particularly on
the analysis of genetic variability of production and functional traits. He has
managed the French national genetic evaluation for dairy cattle, sheep and goats
and conducted projects for QTL detection and fine mapping. In 2002, in close
collaboration with the French breeding industry, he implemented a large-scale
marker-assisted selection programme, which has become a genomic selection
programme since 2008.

Mario Calus

Mario Calus is full professor and chairholder Animal Breeding and Genomics at
Wageningen University in The Netherlands

His research in the past fifteen years mainly focused on the scientific
development of genomic prediction and selection, and its implementation in
collaboration with the breeding industry. More recently, this includes using
other omics data in addition to structural genomic variation, to partition
phenotypic variance and predict phenotypes.

Jack Dekkers

Jack Dekkers is a distinguished professor of animal breeding and genetics in the
Department of Animal Science at Iowa State University (USA).

His areas of research are quantitative genetics and animal breeding with
application to swine and poultry genetics, including the use of molecular
genetic and genomic information, QTL detection, marker-assisted and genomic
selection, design, optimization and economic aspects of breeding strategies, and
genetic aspects of residual feed intake in pigs.




Thomas Faraut

Thomas Faraut (INRAE, France) is a computational biologist in the GenPhySE
laboratory at INRAE in Toulouse (France). His research interests are focused on
the study of the structural variability of genomes, its dynamics within
populations and during evolution, its impact on the 3D organization of genomes
and more generally on genome function.


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