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  1. Content type: Research Article

    mRNA-like long non-coding RNAs (lncRNAs) are a significant component of mammalian transcriptomes, although most are expressed only at low levels, with high tissue-specificity and/or at specific developmental s...

    Authors: Stephen J. Bush, Charity Muriuki, Mary E. B. McCulloch, Iseabail L. Farquhar, Emily L. Clark and David A. Hume

    Citation: Genetics Selection Evolution 2018 50:20

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  2. Content type: Research Article

    The distribution of the wild turkey (Meleagris gallopavo) extends from Mexico to southeastern Canada and to the eastern and southern regions of the USA. Six subspecies have been described based on morphological c...

    Authors: Gabriela Padilla-Jacobo, Horacio Cano-Camacho, Rigoberto López-Zavala, María E. Cornejo-Pérez and María G. Zavala-Páramo

    Citation: Genetics Selection Evolution 2018 50:19

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  3. Content type: Research Article

    Deleterious genetic variation can increase in frequency as a result of mutations, genetic drift, and genetic hitchhiking. Although individual effects are often small, the cumulative effect of deleterious genet...

    Authors: Martijn F. L. Derks, Hendrik-Jan Megens, Mirte Bosse, Jeroen Visscher, Katrijn Peeters, Marco C. A. M. Bink, Addie Vereijken, Christian Gross, Dick de Ridder, Marcel J. T. Reinders and Martien A. M. Groenen

    Citation: Genetics Selection Evolution 2018 50:17

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  4. Content type: Research Article

    Genome editing technologies provide new tools for genetic improvement and have the potential to become the next game changer in animal and plant breeding. The aim of this study was to investigate how genome ed...

    Authors: John W. M. Bastiaansen, Henk Bovenhuis, Martien A. M. Groenen, Hendrik-Jan Megens and Han A. Mulder

    Citation: Genetics Selection Evolution 2018 50:18

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  5. Content type: Research Article

    In recent decades, Holstein–Friesian (HF) selection schemes have undergone profound changes, including the introduction of optimal contribution selection (OCS; around 2000), a major shift in breeding goal comp...

    Authors: Harmen P. Doekes, Roel F. Veerkamp, Piter Bijma, Sipke J. Hiemstra and Jack J. Windig

    Citation: Genetics Selection Evolution 2018 50:15

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  6. Content type: Research Article

    Increasing marker density was proposed to have potential to improve the accuracy of genomic prediction for quantitative traits; whole-sequence data is expected to give the best accuracy of prediction, since al...

    Authors: Chunyan Zhang, Robert Alan Kemp, Paul Stothard, Zhiquan Wang, Nicholas Boddicker, Kirill Krivushin, Jack Dekkers and Graham Plastow

    Citation: Genetics Selection Evolution 2018 50:14

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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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

  20. 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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