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  1. Content type: Research Article

    Domestication of animals leads to large phenotypic alterations within a short evolutionary time-period. Such alterations are caused by genomic variations, yet the prevalence of modified traits is higher than e...

    Authors: Johan Bélteky, Beatrix Agnvall, Lejla Bektic, Andrey Höglund, Per Jensen and Carlos Guerrero-Bosagna

    Citation: Genetics Selection Evolution 2018 50:13

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  2. Content type: Research Article

    Pseudo-phenotypes, such as 305-day yields, estimated breeding values or deregressed proofs, are usually used as response variables for genome-wide association studies (GWAS) of milk production traits in dairy ...

    Authors: Chao Ning, Dan Wang, Xianrui Zheng, Qin Zhang, Shengli Zhang, Raphael Mrode and Jian-Feng Liu

    Citation: Genetics Selection Evolution 2018 50:12

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  3. Content type: Research Article

    Heat stress has a negative impact on pork production, particularly during the grow-finish phase. As temperature increases, feeding behaviour changes in order for pigs to decrease heat production. The objective...

    Authors: Amanda J. Cross, Brittney N. Keel, Tami M. Brown-Brandl, Joseph P. Cassady and Gary A. Rohrer

    Citation: Genetics Selection Evolution 2018 50:11

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  4. Content type: Research Article

    Genomic prediction and quantitative trait loci (QTL) mapping typically analyze one trait at a time but this may ignore the possibility that one polymorphism affects multiple traits. The aim of this study was t...

    Authors: Kathryn E. Kemper, Philip J. Bowman, Benjamin J. Hayes, Peter M. Visscher and Michael E. Goddard

    Citation: Genetics Selection Evolution 2018 50:10

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  5. Content type: Research Article

    The current large spectrum of sheep phenotypic diversity results from the combined product of sheep selection for different production traits such as wool, milk and meat, and its natural adaptation to new envi...

    Authors: Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo and Andone Estonba

    Citation: Genetics Selection Evolution 2018 50:9

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  6. Content type: Research Article

    Sex-linked slow (SF) and fast (FF) feathering rates at hatch have been widely used in poultry breeding for autosexing at hatch. In chicken, the sex-linked K (SF) and k+ (FF) alleles are responsible for the feathe...

    Authors: Martijn F. L. Derks, Juan M. Herrero-Medrano, Richard P. M. A. Crooijmans, Addie Vereijken, Julie A. Long, Hendrik-Jan Megens and Martien A. M. Groenen

    Citation: Genetics Selection Evolution 2018 50:7

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  7. Content type: Research Article

    For marker effect models and genomic animal models, computational requirements increase with the number of loci and the number of genotyped individuals, respectively. In the latter case, the inverse genomic re...

    Authors: Jørgen Ødegård, Ulf Indahl, Ismo Strandén and Theo H. E. Meuwissen

    Citation: Genetics Selection Evolution 2018 50:6

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  8. Content type: Research Article

    Throughout the world, harvesting of mussels Mytilus spp. is based on the exploitation of natural populations and aquaculture. Aquaculture activities include transfers of spat and live adult mussels between variou...

    Authors: Małgorzata Zbawicka, María I. Trucco and Roman Wenne

    Citation: Genetics Selection Evolution 2018 50:5

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  9. Content type: Research Article

    Genomic prediction of the pig’s response to the porcine reproductive and respiratory syndrome (PRRS) virus (PRRSV) would be a useful tool in the swine industry. This study investigated the accuracy of genomic ...

    Authors: Emily H. Waide, Christopher K. Tuggle, Nick V. L. Serão, Martine Schroyen, Andrew Hess, Raymond R. R. Rowland, Joan K. Lunney, Graham Plastow and Jack C. M. Dekkers

    Citation: Genetics Selection Evolution 2018 50:3

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  10. Content type: Research Article

    Profitability of breeding programs is a key determinant in the adoption of selective breeding, and can be evaluated using cost-benefit analysis. There are many options to design breeding programs, with or with...

    Authors: Kasper Janssen, Helmut Saatkamp and Hans Komen

    Citation: Genetics Selection Evolution 2018 50:2

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  11. Content type: Research Article

    The quantitative genetics theory argues that inbreeding depression and heterosis are founded on the existence of directional dominance. However, most procedures for genomic selection that have included dominan...

    Authors: Luis Varona, Andrés Legarra, William Herring and Zulma G. Vitezica

    Citation: Genetics Selection Evolution 2018 50:1

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  12. Content type: Research Article

    Non-linear Bayesian genomic prediction models such as BayesA/B/C/R involve iteration and mostly Markov chain Monte Carlo (MCMC) algorithms, which are computationally expensive, especially when whole-genome seq...

    Authors: Theo H. E. Meuwissen, Ulf G. Indahl and Jørgen Ødegård

    Citation: Genetics Selection Evolution 2017 49:94

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  13. Content type: Correction

    After publication of our article [1], we found a typo in the formula to build the genomic relationship matrix using allele frequencies across all genotyped pigs (matrix) and the genomic relationship matrix usi...

    Authors: Claudia A. Sevillano, Jeremie Vandenplas, John W. M. Bastiaansen, Rob Bergsma and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2017 49:93

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    The original article was published in Genetics Selection Evolution 2017 49:75

  14. Content type: Research Article

    Inbreeding coefficients can be estimated either from pedigree data or from genomic data, and with genomic data, they are either global or local (when the linkage map is used). Recently, we developed a new hid...

    Authors: Marina Solé, Ann-Stephan Gori, Pierre Faux, Amandine Bertrand, Frédéric Farnir, Mathieu Gautier and Tom Druet

    Citation: Genetics Selection Evolution 2017 49:92

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  15. Content type: Research Article

    Molecular data is now commonly used to predict breeding values (BV). Various methods to calculate genomic relationship matrices (GRM) have been developed, with some studies proposing regression of coefficients...

    Authors: Joanna J. Ilska, Theo H. E. Meuwissen, Andreas Kranis and John A. Woolliams

    Citation: Genetics Selection Evolution 2017 49:90

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  16. Content type: Research Article

    Accurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to co...

    Authors: Grum Gebreyesus, Mogens S. Lund, Bart Buitenhuis, Henk Bovenhuis, Nina A. Poulsen and Luc G. Janss

    Citation: Genetics Selection Evolution 2017 49:89

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  17. Content type: Research Article

    Genomic selection (GS) promises to accelerate genetic gain in plant breeding programs especially for crop species such as cassava that have long breeding cycles. Practically, to implement GS in cassava breedin...

    Authors: Uche Godfrey Okeke, Deniz Akdemir, Ismail Rabbi, Peter Kulakow and Jean-Luc Jannink

    Citation: Genetics Selection Evolution 2017 49:88

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  18. Content type: Research article

    Pedigree-based management of genetic diversity in populations, e.g., using optimal contributions, involves computation of the http://static-content.springer.com/image/art%3A10.1186%2Fs12711-017-0363-9/12711_2017_363_Article_IEq1.gif

    Authors: Jean-Jacques Colleau, Isabelle Palhière, Silvia T. Rodríguez-Ramilo and Andres Legarra

    Citation: Genetics Selection Evolution 2017 49:87

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  19. Content type: Research Article

    Curly horses present a variety of curl phenotypes that are associated with various degrees of curliness of coat, mane, tail and ear hairs. Their origin is still a matter of debate and several genetic hypothese...

    Authors: Caroline Morgenthaler, Mathieu Diribarne, Aurélien Capitan, Rachel Legendre, Romain Saintilan, Maïlys Gilles, Diane Esquerré, Rytis Juras, Anas Khanshour, Laurent Schibler and Gus Cothran

    Citation: Genetics Selection Evolution 2017 49:85

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  20. Content type: Research article

    Because very large numbers of single nucleotide polymorphisms (SNPs) are now available throughout the genome, they are particularly suitable for the detection of genomic regions where a reduction in heterozygo...

    Authors: Salvatore Mastrangelo, Marco Tolone, Maria T. Sardina, Gianluca Sottile, Anna M. Sutera, Rosalia Di Gerlando and Baldassare Portolano

    Citation: Genetics Selection Evolution 2017 49:84

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  21. Content type: Research Article

    Our aim was to identify genomic regions via genome-wide association studies (GWAS) to improve the predictability of genetic merit in Holsteins for 10 calving and 28 body conformation traits. Animals were genot...

    Authors: Mohammed K. Abo-Ismail, Luiz F. Brito, Stephen P. Miller, Mehdi Sargolzaei, Daniela A. Grossi, Steve S. Moore, Graham Plastow, Paul Stothard, Shadi Nayeri and Flavio S. Schenkel

    Citation: Genetics Selection Evolution 2017 49:82

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  22. Content type: Research Article

    Domestication, breed formation and intensive selection have resulted in divergent cattle breeds that likely exhibit their own genomic signatures. In this study, we used genotypes from 27,612 autosomal single n...

    Authors: Heidi Signer-Hasler, Alexander Burren, Markus Neuditschko, Mirjam Frischknecht, Dorian Garrick, Christian Stricker, Birgit Gredler, Beat Bapst and Christine Flury

    Citation: Genetics Selection Evolution 2017 49:83

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  23. Content type: Research Article

    With the aim of identifying selection signals in three Merino sheep lines that are highly specialized for fine wool production (Australian Industry Merino, Australian Merino and Australian Poll Merino) and con...

    Authors: Beatriz Gutiérrez-Gil, Cristina Esteban-Blanco, Pamela Wiener, Praveen Krishna Chitneedi, Aroa Suarez-Vega and Juan-Jose Arranz

    Citation: Genetics Selection Evolution 2017 49:81

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  24. Content type: Research Article

    Because of their high economic importance, growth traits in fish are under continuous improvement. For growth traits that are recorded at multiple time-points in life, the use of univariate and multivariate an...

    Authors: Jie He, Yunfeng Zhao, Jingli Zhao, Jin Gao, Dandan Han, Pao Xu and Runqing Yang

    Citation: Genetics Selection Evolution 2017 49:80

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  25. Content type: Research Article

    Genomic evaluation is used to predict direct genomic values (DGV) for selection candidates in breeding programs, but also to estimate allele substitution effects (ASE) of single nucleotide polymorphisms (SNPs)...

    Authors: Aniek C. Bouwman, Ben J. Hayes and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2017 49:79

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  26. Content type: Research Article

    This paper describes a heuristic method for allocating low-coverage sequencing resources by targeting haplotypes rather than individuals. Low-coverage sequencing assembles high-coverage sequence information fo...

    Authors: Roger Ros-Freixedes, Serap Gonen, Gregor Gorjanc and John M. Hickey

    Citation: Genetics Selection Evolution 2017 49:78

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  27. Content type: Research Article

    Copy number variations (CNV) are known to play a major role in genetic variability and disease pathogenesis in several species including cattle. In this study, we report the identification and characterization...

    Authors: Rabia Letaief, Emmanuelle Rebours, Cécile Grohs, Cédric Meersseman, Sébastien Fritz, Lidwine Trouilh, Diane Esquerré, Johanna Barbieri, Christophe Klopp, Romain Philippe, Véronique Blanquet, Didier Boichard, Dominique Rocha and Mekki Boussaha

    Citation: Genetics Selection Evolution 2017 49:77

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  28. Content type: Research Article

    Genomic prediction of purebred animals for crossbred performance can be based on a model that estimates effects of single nucleotide polymorphisms (SNPs) in purebreds on crossbred performance. For crossbred pe...

    Authors: Claudia A. Sevillano, Jeremie Vandenplas, John W. M. Bastiaansen, Rob Bergsma and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2017 49:75

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    The Correction to this article has been published in Genetics Selection Evolution 2017 49:93

  29. Content type: Research article

    In statistical genetics, an important task involves building predictive models of the genotype–phenotype relationship to attribute a proportion of the total phenotypic variance to the variation in genotypes. M...

    Authors: Deniz Akdemir, Jean-Luc Jannink and Julio Isidro-Sánchez

    Citation: Genetics Selection Evolution 2017 49:74

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  30. Content type: Short communication

    Cases of albinism have been reported in several species including cattle. So far, research has identified many genes that are involved in this eye-catching phenotype. Thus, when two paternal Braunvieh half-sib...

    Authors: Sophie Rothammer, Elisabeth Kunz, Doris Seichter, Stefan Krebs, Martina Wassertheurer, Ruedi Fries, Gottfried Brem and Ivica Medugorac

    Citation: Genetics Selection Evolution 2017 49:73

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  31. Content type: Research Article

    There is increasing interest in the definition, measurement and use of traits associated with water use and drinking behaviour, mainly because water is a finite resource and its intake is an important part of ...

    Authors: Julija Rusakovica, Valentin D. Kremer, Thomas Plötz, Paige Rohlf and Ilias Kyriazakis

    Citation: Genetics Selection Evolution 2017 49:72

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  32. Content type: Research Article

    Pigs were domesticated independently in Eastern and Western Eurasia early during the agricultural revolution, and have since been transported and traded across the globe. Here, we present a worldwide survey on...

    Authors: Bin Yang, Leilei Cui, Miguel Perez-Enciso, Aleksei Traspov, Richard P. M. A. Crooijmans, Natalia Zinovieva, Lawrence B. Schook, Alan Archibald, Kesinee Gatphayak, Christophe Knorr, Alex Triantafyllidis, Panoraia Alexandri, Gono Semiadi, Olivier Hanotte, Deodália Dias, Peter Dovč…

    Citation: Genetics Selection Evolution 2017 49:71

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  33. Content type: Research Article

    The increasing availability of whole-genome sequence data is expected to increase the accuracy of genomic prediction. However, results from simulation studies and analysis of real data do not always show an in...

    Authors: Irene van den Berg, Phil J. Bowman, Iona M. MacLeod, Ben J. Hayes, Tingting Wang, Sunduimijid Bolormaa and Mike E. Goddard

    Citation: Genetics Selection Evolution 2017 49:70

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  34. Content type: Research Article

    In recent years, the commercial importance of changes in muscle function of broiler chickens and of the corresponding effects on meat quality has increased. Furthermore, broilers are more sensitive to heat str...

    Authors: Imran Zahoor, Dirk-Jan de Koning and Paul M. Hocking

    Citation: Genetics Selection Evolution 2017 49:69

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  35. Content type: Research Article

    Genome-wide association studies (GWAS) were performed at the sequence level to identify candidate mutations that affect the expression of six major milk proteins in Montbéliarde (MON), Normande (NOR), and Hols...

    Authors: Marie-Pierre Sanchez, Armelle Govignon-Gion, Pascal Croiseau, Sébastien Fritz, Chris Hozé, Guy Miranda, Patrice Martin, Anne Barbat-Leterrier, Rabia Letaïef, Dominique Rocha, Mickaël Brochard, Mekki Boussaha and Didier Boichard

    Citation: Genetics Selection Evolution 2017 49:68

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  36. Content type: Research Article

    Smallholder dairy farming in much of the developing world is based on the use of crossbred cows that combine local adaptation traits of indigenous breeds with high milk yield potential of exotic dairy breeds. ...

    Authors: Eva M. Strucken, Hawlader A. Al-Mamun, Cecilia Esquivelzeta-Rabell, Cedric Gondro, Okeyo A. Mwai and John P. Gibson

    Citation: Genetics Selection Evolution 2017 49:67

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  37. Content type: Research Article

    The effect of epistasis on response to selection is a highly debated topic. Here, we investigated the impact of epistasis on response to sequence-based selection via genomic best linear prediction (GBLUP) in a...

    Authors: Natalia S. Forneris, Zulma G. Vitezica, Andres Legarra and Miguel Pérez-Enciso

    Citation: Genetics Selection Evolution 2017 49:66

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  38. Content type: Research Article

    The rapid adoption of genomic selection is due to two key factors: availability of both high-throughput dense genotyping and statistical methods to estimate and predict breeding values. The development of such...

    Authors: Oscar O. M. Iheshiulor, John A. Woolliams, Morten Svendsen, Trygve Solberg and Theo H. E. Meuwissen

    Citation: Genetics Selection Evolution 2017 49:63

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  39. Content type: Research Article

    The application of genomic selection to sheep breeding could lead to substantial increases in profitability of wool production due to the availability of accurate breeding values from single nucleotide polymor...

    Authors: Sunduimijid Bolormaa, Andrew A. Swan, Daniel J. Brown, Sue Hatcher, Nasir Moghaddar, Julius H. van der Werf, Michael E. Goddard and Hans D. Daetwyler

    Citation: Genetics Selection Evolution 2017 49:62

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  40. Content type: Research Article

    Residual feed intake (RFI) was investigated as a measure of feed efficiency in a breeding population of Litopenaeus vannamei. Shrimp from 34 families were housed individually and feed efficiency and growth traits...

    Authors: Ping Dai, Sheng Luan, Xia Lu, Kun Luo, Xianhong Meng, Baoxiang Cao and Jie Kong

    Citation: Genetics Selection Evolution 2017 49:61

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  41. Content type: Research Article

    Whole-genome sequencing and imputation methodologies have enabled the study of the effects of genomic variants with low to very low minor allele frequency (MAF) on variation in complex traits. Our objective wa...

    Authors: Qianqian Zhang, Mario P. L. Calus, Bernt Guldbrandtsen, Mogens Sandø Lund and Goutam Sahana

    Citation: Genetics Selection Evolution 2017 49:60

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  42. Content type: Research Article

    Much effort is put into identifying causative quantitative trait nucleotides (QTN) in animal breeding, empowered by the availability of dense single nucleotide polymorphism (SNP) information. Genomic selectio...

    Authors: Breno O. Fragomeni, Daniela A. L. Lourenco, Yutaka Masuda, Andres Legarra and Ignacy Misztal

    Citation: Genetics Selection Evolution 2017 49:59

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    The Erratum to this article has been published in Genetics Selection Evolution 2017 49:65