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  1. A better understanding of the genetic architecture of complex traits can contribute to improve genomic prediction. We hypothesized that genomic variants associated with mastitis and milk production traits in d...

    Authors: Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund and Peter Sørensen
    Citation: Genetics Selection Evolution 2017 49:44
  2. Genetic progress in selection for greater body mass and meat yield in poultry has been associated with an increase in gait problems which are detrimental to productivity and welfare. The incidence of suboptima...

    Authors: Brendan M. Duggan, Anne M. Rae, Dylan N. Clements and Paul M. Hocking
    Citation: Genetics Selection Evolution 2017 49:42
  3. Body size in sheep is an important indicator of productivity, growth and health as well as of environmental adaptation. It is a composite quantitative trait that has been studied with high-throughput genomic m...

    Authors: Antonios Kominakis, Ariadne L. Hager-Theodorides, Evangelos Zoidis, Aggeliki Saridaki, George Antonakos and George Tsiamis
    Citation: Genetics Selection Evolution 2017 49:41
  4. Growth traits can be used as indicators of adaptation to sub-optimal conditions. The current study aimed at identifying quantitative trait loci (QTL) that control performance under variable temperature conditi...

    Authors: Ching-Yi Lien, Michèle Tixier-Boichard, Shih-Wen Wu, Woei-Fuh Wang, Chen Siang Ng and Chih-Feng Chen
    Citation: Genetics Selection Evolution 2017 49:39
  5. The aim of this study was to analyse the mechanisms that underlie phenotypic quantitative trait loci (QTL) in overfed mule ducks by identifying co-localized proteomic QTL (pQTL). The QTL design consisted of th...

    Authors: Yoannah François, Alain Vignal, Caroline Molette, Nathalie Marty-Gasset, Stéphane Davail, Laurence Liaubet and Christel Marie-Etancelin
    Citation: Genetics Selection Evolution 2017 49:38
  6. A host can adopt two response strategies to infection: resistance (reduce pathogen load) and tolerance (minimize impact of infection on performance). Both strategies may be under genetic control and could thus...

    Authors: Graham Lough, Hamed Rashidi, Ilias Kyriazakis, Jack C. M. Dekkers, Andrew Hess, Melanie Hess, Nader Deeb, Antti Kause, Joan K. Lunney, Raymond R. R. Rowland, Han A. Mulder and Andrea Doeschl-Wilson
    Citation: Genetics Selection Evolution 2017 49:37
  7. The number of teats in pigs is related to a sow’s ability to rear piglets to weaning age. Several studies have identified genes and genomic regions that affect teat number in swine but few common results were ...

    Authors: Cheng Tan, Zhenfang Wu, Jiangli Ren, Zhuolin Huang, Dewu Liu, Xiaoyan He, Dzianis Prakapenka, Ran Zhang, Ning Li, Yang Da and Xiaoxiang Hu
    Citation: Genetics Selection Evolution 2017 49:35
  8. Metafounders are pseudo-individuals that encapsulate genetic heterozygosity and relationships within and across base pedigree populations, i.e. ancestral populations. This work addresses the estimation and us...

    Authors: Carolina A. Garcia-Baccino, Andres Legarra, Ole F. Christensen, Ignacy Misztal, Ivan Pocrnic, Zulma G. Vitezica and Rodolfo J. C. Cantet
    Citation: Genetics Selection Evolution 2017 49:34
  9. In farmed Atlantic salmon, heritability for uniformity of body weight is low, indicating that the accuracy of estimated breeding values (EBV) may be low. The use of genomic information could be one way to incr...

    Authors: Panya Sae-Lim, Antti Kause, Marie Lillehammer and Han A. Mulder
    Citation: Genetics Selection Evolution 2017 49:33
  10. Millions of genetic variants have been identified by population-scale sequencing projects, but subsets of these variants are needed for routine genomic predictions or genotyping arrays. Methods for selecting s...

    Authors: Paul M. VanRaden, Melvin E. Tooker, Jeffrey R. O’Connell, John B. Cole and Derek M. Bickhart
    Citation: Genetics Selection Evolution 2017 49:32
  11. This paper describes a combined heuristic and hidden Markov model (HMM) method to accurately impute missing genotypes in livestock datasets. Genomic selection in breeding programs requires high-density genotyp...

    Authors: Roberto Antolín, Carl Nettelblad, Gregor Gorjanc, Daniel Money and John M. Hickey
    Citation: Genetics Selection Evolution 2017 49:30
  12. An important issue in genetic evaluation is the comparability of random effects (breeding values), particularly between pairs of animals in different contemporary groups. This is usually referred to as genetic...

    Authors: John B. Holmes, Ken G. Dodds and Michael A. Lee
    Citation: Genetics Selection Evolution 2017 49:29
  13. DNA-based predictions for hard-to-measure production traits hold great promise for selective breeding programs. DNA pooling might provide a cheap genomic approach to use phenotype data from commercial flocks w...

    Authors: Amy M. Bell, John M. Henshall, Laercio R. Porto-Neto, Sonja Dominik, Russell McCulloch, James Kijas and Sigrid A. Lehnert
    Citation: Genetics Selection Evolution 2017 49:28
  14. Large amounts of fat deposition often lead to loss of reproductive efficiency in humans and animals. We used broiler chickens as a model species to conduct a two-directional selection for and against abdominal...

    Authors: Hui Zhang, Wei Na, Hong-Li Zhang, Ning Wang, Zhi-Qiang Du, Shou-Zhi Wang, Zhi-Peng Wang, Zhiwu Zhang and Hui Li
    Citation: Genetics Selection Evolution 2017 49:25
  15. The availability of dense genotypes and whole-genome sequence variants from various sources offers the opportunity to compile large datasets consisting of tens of thousands of individuals with genotypes at mil...

    Authors: Hubert Pausch, Iona M. MacLeod, Ruedi Fries, Reiner Emmerling, Phil J. Bowman, Hans D. Daetwyler and Michael E. Goddard
    Citation: Genetics Selection Evolution 2017 49:24
  16. In France, two main diseases threaten Pacific oyster production. Since 2008, Crassostrea gigas spat have suffered massive losses due to the ostreid herpesvirus OsHV-1, and since 2012, significant mortalities in c...

    Authors: Patrick Azéma, Jean-Baptiste Lamy, Pierre Boudry, Tristan Renault, Marie-Agnès Travers and Lionel Dégremont
    Citation: Genetics Selection Evolution 2017 49:23
  17. Selection acts strongly on individuals that colonise a habitat and have phenotypic traits that deviate from the local optima. Our objective was to investigate the evolutionary rates in Atlantic salmon (Salmo sal...

    Authors: Arne Johan Jensen, Lars Petter Hansen, Bjørn Ove Johnsen and Sten Karlsson
    Citation: Genetics Selection Evolution 2017 49:22
  18. Genome-wide association studies (GWAS) have been extensively used to identify genomic regions associated with a variety of phenotypic traits in pigs. Until now, most GWAS have explored single-trait association...

    Authors: Yuanmei Guo, Yixuan Huang, Lijuan Hou, Junwu Ma, Congying Chen, Huashui Ai, Lusheng Huang and Jun Ren
    Citation: Genetics Selection Evolution 2017 49:21
  19. Bovine milk is widely regarded as a nutritious food source for humans, although the effects of individual fatty acids on human health is a subject of debate. Based on the assumption that genomic selection offe...

    Authors: Hanne Gro Olsen, Tim Martin Knutsen, Achim Kohler, Morten Svendsen, Lars Gidskehaug, Harald Grove, Torfinn Nome, Marte Sodeland, Kristil Kindem Sundsaasen, Matthew Peter Kent, Harald Martens and Sigbjørn Lien
    Citation: Genetics Selection Evolution 2017 49:20
  20. Sheep production in Israel has improved by crossing the fat-tailed local Awassi breed with the East Friesian and later, with the Booroola Merino breed, which led to the formation of the highly prolific Afec-As...

    Authors: Eyal Seroussi, Alexander Rosov, Andrey Shirak, Alon Lam and Elisha Gootwine
    Citation: Genetics Selection Evolution 2017 49:19
  21. Feather pecking and aggressive pecking in laying hens are serious economic and welfare issues. In spite of extensive research on feather pecking during the last decades, the motivation for this behavior is sti...

    Authors: Vanessa Lutz, Patrick Stratz, Siegfried Preuß, Jens Tetens, Michael A. Grashorn, Werner Bessei and Jörn Bennewitz
    Citation: Genetics Selection Evolution 2017 49:18
  22. Previously, we have shown that bacterial cold water disease (BCWD) resistance in rainbow trout can be improved using traditional family-based selection, but progress has been limited to exploiting only between...

    Authors: Roger L. Vallejo, Timothy D. Leeds, Guangtu Gao, James E. Parsons, Kyle E. Martin, Jason P. Evenhuis, Breno O. Fragomeni, Gregory D. Wiens and Yniv Palti
    Citation: Genetics Selection Evolution 2017 49:17
  23. Genomic selection has been successfully implemented in plant and animal breeding programs to shorten generation intervals and accelerate genetic progress per unit of time. In practice, genomic selection can be...

    Authors: Mehdi Momen, Ahmad Ayatollahi Mehrgardi, Ayoub Sheikhy, Ali Esmailizadeh, Masood Asadi Fozi, Andreas Kranis, Bruno D. Valente, Guilherme J. M. Rosa and Daniel Gianola
    Citation: Genetics Selection Evolution 2017 49:16
  24. Sea lice infestations caused by Caligus rogercresseyi are a main concern to the salmon farming industry due to associated economic losses. Resistance to this parasite was shown to have low to moderate genetic var...

    Authors: Katharina Correa, Rama Bangera, René Figueroa, Jean P. Lhorente and José M. Yáñez
    Citation: Genetics Selection Evolution 2017 49:15
  25. Environmental exposures, for instance to chemicals, are known to impact plant and animal phenotypes on the long term, sometimes across several generations. Such transgenerational phenotypes were shown to be pr...

    Authors: Sophie Leroux, David Gourichon, Christine Leterrier, Yann Labrune, Vincent Coustham, Sandrine Rivière, Tatiana Zerjal, Jean-Luc Coville, Mireille Morisson, Francis Minvielle and Frédérique Pitel
    Citation: Genetics Selection Evolution 2017 49:14
  26. Several examples of structural variation (SV) affecting phenotypic traits have been reported in cattle. Currently the identification of SV from whole-genome sequence data (WGS) suffers from a high false positi...

    Authors: Long Chen, Amanda J. Chamberlain, Coralie M. Reich, Hans D. Daetwyler and Ben J. Hayes
    Citation: Genetics Selection Evolution 2017 49:13

    The Erratum to this article has been published in Genetics Selection Evolution 2017 49:31

  27. Selection for sound conformation has been widely used as a primary approach to reduce lameness and leg weakness in pigs. Identification of genomic regions that affect conformation traits would help to improve ...

    Authors: Thu H. Le, Ole F. Christensen, Bjarne Nielsen and Goutam Sahana
    Citation: Genetics Selection Evolution 2017 49:12
  28. Some genetic studies need to take into account correlations between traits that are repeatedly measured over time. Multiple-trait random regression models are commonly used to analyze repeated traits but suffe...

    Authors: Ingrid David, Hervé Garreau, Elodie Balmisse, Yvon Billon and Laurianne Canario
    Citation: Genetics Selection Evolution 2017 49:11
  29. Performance recording and genotyping in the multiplier tier of multi-tiered sheep breeding schemes could potentially reduce the difference in the average genetic merit between nucleus and commercial flocks, an...

    Authors: Bruno F. S. Santos, Julius H. J. van der Werf, John P. Gibson, Timothy J. Byrne and Peter R. Amer
    Citation: Genetics Selection Evolution 2017 49:10
  30. Methane emissions from ruminal fermentation contribute significantly to total anthropological greenhouse gas (GHG) emissions. New meta-omics technologies are beginning to revolutionise our understanding of the...

    Authors: Robert J. Wallace, Timothy J. Snelling, Christine A. McCartney, Ilma Tapio and Francesco Strozzi
    Citation: Genetics Selection Evolution 2017 49:9

    The Erratum to this article has been published in Genetics Selection Evolution 2017 49:27

  31. With the availability of next-generation sequencing technologies, genomic prediction based on whole-genome sequencing (WGS) data is now feasible in animal breeding schemes and was expected to lead to higher pr...

    Authors: Guiyan Ni, David Cavero, Anna Fangmann, Malena Erbe and Henner Simianer
    Citation: Genetics Selection Evolution 2017 49:8
  32. Multi-marker methods, which fit all markers simultaneously, were originally tailored for genomic selection purposes, but have proven to be useful also in association analyses, especially the so-called BayesC B...

    Authors: Jörn Bennewitz, Christian Edel, Ruedi Fries, Theo H. E. Meuwissen and Robin Wellmann
    Citation: Genetics Selection Evolution 2017 49:7
  33. Improving functional annotation of the chicken genome is a key challenge in bridging the gap between genotype and phenotype. Among all transcribed regions, long noncoding RNAs (lncRNAs) are a major component o...

    Authors: Kévin Muret, Christophe Klopp, Valentin Wucher, Diane Esquerré, Fabrice Legeai, Frédéric Lecerf, Colette Désert, Morgane Boutin, Frédéric Jehl, Hervé Acloque, Elisabetta Giuffra, Sarah Djebali, Sylvain Foissac, Thomas Derrien and Sandrine Lagarrigue
    Citation: Genetics Selection Evolution 2017 49:6
  34. Number of functional teats is an important trait in commercial swine production. As litter size increases, the number of teats must also increase to supply nutrition to all piglets. Therefore, a genome-wide as...

    Authors: Gary A. Rohrer and Dan J. Nonneman
    Citation: Genetics Selection Evolution 2017 49:4
  35. This paper uses simulation to explore how gene drives can increase genetic gain in livestock breeding programs. Gene drives are naturally occurring phenomena that cause a mutation on one chromosome to copy it...

    Authors: Serap Gonen, Janez Jenko, Gregor Gorjanc, Alan J. Mileham, C. Bruce A. Whitelaw and John M. Hickey
    Citation: Genetics Selection Evolution 2017 49:3
  36. Genomic predictions from BayesA and BayesB use training data that include animals with both phenotypes and genotypes. Single-step methodologies allow additional information from non-genotyped relatives to be i...

    Authors: Joonho Lee, Hao Cheng, Dorian Garrick, Bruce Golden, Jack Dekkers, Kyungdo Park, Deukhwan Lee and Rohan Fernando
    Citation: Genetics Selection Evolution 2017 49:2
  37. Hanwoo beef is known for its marbled fat, tenderness, juiciness and characteristic flavor, as well as for its low cholesterol and high omega 3 fatty acid contents. As yet, there has been no comprehensive inves...

    Authors: Hossein Mehrban, Deuk Hwan Lee, Mohammad Hossein Moradi, Chung IlCho, Masoumeh Naserkheil and Noelia Ibáñez-Escriche
    Citation: Genetics Selection Evolution 2017 49:1
  38. Two types of models have been used for single-step genomic prediction and genome-wide association studies that include phenotypes from both genotyped animals and their non-genotyped relatives. The two types ar...

    Authors: Rohan L. Fernando, Hao Cheng, Bruce L. Golden and Dorian J. Garrick
    Citation: Genetics Selection Evolution 2016 48:96
  39. Whole-genome sequence data is expected to capture genetic variation more completely than common genotyping panels. Our objective was to compare the proportion of variance explained and the accuracy of genomic ...

    Authors: Roel F. Veerkamp, Aniek C. Bouwman, Chris Schrooten and Mario P. L. Calus
    Citation: Genetics Selection Evolution 2016 48:95
  40. Rainbow trout is an important aquaculture species, which has a worldwide distribution across various production environments. The diverse locations of trout farms involve remarkable variation in environmental...

    Authors: Matti Janhunen, Juha Koskela, Nguyễn Hữu Ninh, Harri Vehviläinen, Heikki Koskinen, Antti Nousiainen and Ngô Phú Thỏa
    Citation: Genetics Selection Evolution 2016 48:94
  41. The gastrointestinal tract is populated by a complex and vast microbial network, with a composition that reflects the relationships of the symbiosis, co-metabolism, and co-evolution of these microorganisms wit...

    Authors: Jinmei Ding, Lele Zhao, Lifeng Wang, Wenjing Zhao, Zhengxiao Zhai, Li Leng, Yuxiang Wang, Chuan He, Yan Zhang, Heping Zhang, Hui Li and He Meng
    Citation: Genetics Selection Evolution 2016 48:93
  42. Improved performance of crossbred animals is partly due to heterosis. One of the major genetic bases of heterosis is dominance, but it is seldom used in pedigree-based genetic evaluation of livestock. Recently...

    Authors: Tao Xiang, Ole Fredslund Christensen, Zulma Gladis Vitezica and Andres Legarra
    Citation: Genetics Selection Evolution 2016 48:92
  43. Bovine tuberculosis (bTB) is a disease of significant economic importance and is a persistent animal health problem with implications for public health worldwide. Control of bTB in the UK has relied on diagnos...

    Authors: Smaragda Tsairidou, Susan Brotherstone, Mike Coffey, Stephen C. Bishop and John A. Woolliams
    Citation: Genetics Selection Evolution 2016 48:90

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