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  1. Accumulation of detrimental mutations in small populations leads to inbreeding depression of fitness traits and a higher frequency of genetic defects, thus increasing risk of extinction. Our objective was to q...

    Authors: Ino Curik, György Kövér, János Farkas, Zsolt Szendrő, Róbert Romvári, Johann Sölkner and Istvan Nagy

    Citation: Genetics Selection Evolution 2020 52:39

    Content type: Research Article

    Published on:

  2. We describe the latest improvements to the long-range phasing (LRP) and haplotype library imputation (HLI) algorithms for successful phasing of both datasets with one million individuals and datasets genotyped...

    Authors: Daniel Money, David Wilson, Janez Jenko, Andrew Whalen, Steve Thorn, Gregor Gorjanc and John M. Hickey

    Citation: Genetics Selection Evolution 2020 52:38

    Content type: Research Article

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  3. Sequence-based genome-wide association studies (GWAS) provide high statistical power to identify candidate causal mutations when a large number of individuals with both sequence variant genotypes and phenotype...

    Authors: Irene van den Berg, Ruidong Xiang, Janez Jenko, Hubert Pausch, Mekki Boussaha, Chris Schrooten, Thierry Tribout, Arne B. Gjuvsland, Didier Boichard, Øyvind Nordbø, Marie-Pierre Sanchez and Mike E. Goddard

    Citation: Genetics Selection Evolution 2020 52:37

    Content type: Research Article

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  4. The shape of pig scapula is complex and is important for sow robustness and health. To better understand the relationship between 3D shape of the scapula and functional traits, it is necessary to build a model...

    Authors: Øyvind Nordbø

    Citation: Genetics Selection Evolution 2020 52:36

    Content type: Research Article

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  5. Base editing has the potential to improve important economic traits in agriculture and can precisely convert single nucleotides in DNA or RNA sequences into minimal double-strand DNA breaks (DSB). Adenine base...

    Authors: Shiwei Zhou, Yige Ding, Jiao Liu, Yao Liu, Xiaoe Zhao, Guanwei Li, Chenguang Zhang, Chao Li, Ying Wang, Peter Kalds, Yawei Gao, Bo Zong, Xiaoyu Huang, Shuhong Huang, Honghao Yu, Qifang Kou…

    Citation: Genetics Selection Evolution 2020 52:35

    Content type: Short communication

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  6. Pasteurellosis (Pasteurella infection) is one of the most common bacterial infections in rabbits on commercial farms and in laboratory facilities. Curative treatments using antibiotics are only partly efficient, ...

    Authors: Merina Shrestha, Hervé Garreau, Elodie Balmisse, Bertrand Bed’hom, Ingrid David, Edouard Guitton, Emmanuelle Helloin, Guillaume Lenoir, Mickaël Maupin, Raphaël Robert, Frédéric Lantier and Mélanie Gunia

    Citation: Genetics Selection Evolution 2020 52:34

    Content type: Research Article

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  7. Natural and artificial directional selection in cosmopolitan and autochthonous pig breeds and wild boars have shaped their genomes and resulted in a reservoir of animal genetic diversity. Signatures of selecti...

    Authors: Samuele Bovo, Anisa Ribani, Maria Muñoz, Estefania Alves, Jose P. Araujo, Riccardo Bozzi, Marjeta Čandek-Potokar, Rui Charneca, Federica Di Palma, Graham Etherington, Ana I. Fernandez, Fabián García, Juan García-Casco, Danijel Karolyi, Maurizio Gallo, Vladimir Margeta…

    Citation: Genetics Selection Evolution 2020 52:33

    Content type: Research Article

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  8. Cattle international genetic evaluations allow the comparison of estimated breeding values (EBV) across different environments, i.e. countries. For international evaluations, across-country genetic correlations (

    Authors: Renzo Bonifazi, Jeremie Vandenplas, Jan ten Napel, Kaarina Matilainen, Roel F. Veerkamp and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2020 52:32

    Content type: Research Article

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  9. The traditional way to estimate variance components (VC) is based on the animal model using a pedigree-based relationship matrix (A) (A-AM). After genomic selection was introduced into breeding programs, it was a...

    Authors: Lei Wang, Luc L. Janss, Per Madsen, John Henshall, Chyong-Huoy Huang, Danye Marois, Setegn Alemu, AC Sørensen and Just Jensen

    Citation: Genetics Selection Evolution 2020 52:31

    Content type: Research Article

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  10. An amendment to this paper has been published and can be accessed via the original article.

    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 2020 52:30

    Content type: Correction

    Published on:

    The original article was published in Genetics Selection Evolution 2017 49:71

  11. Avian leukosis virus subgroup E (ALVE) insertions are endogenous retroviruses (ERV) that are restricted to the domestic chicken and its wild progenitor. In commercial chickens, ALVE are known to have a detrime...

    Authors: Andrew S. Mason, Katarzyna Miedzinska, Adebabay Kebede, Oladeji Bamidele, Ahmed S. Al-Jumaili, Tadelle Dessie, Olivier Hanotte and Jacqueline Smith

    Citation: Genetics Selection Evolution 2020 52:29

    Content type: Research Article

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  12. In tropically-adapted beef heifers, application of genomic prediction for age at puberty has been limited due to low prediction accuracies. Our aim was to investigate novel methods of pre-selecting whole-genom...

    Authors: Christie L. Warburton, Bailey N. Engle, Elizabeth M. Ross, Roy Costilla, Stephen S. Moore, Nicholas J. Corbet, Jack M. Allen, Alan R. Laing, Geoffry Fordyce, Russell E. Lyons, Michael R. McGowan, Brian M. Burns and Ben J. Hayes

    Citation: Genetics Selection Evolution 2020 52:28

    Content type: Research Article

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  13. Distinct domestication events, adaptation to different climatic zones, and divergent selection in productive traits have shaped the genomic differences between taurine and indicine cattle. In this study, we as...

    Authors: Marina Naval-Sánchez, Laercio R. Porto-Neto, Diercles F. Cardoso, Ben J. Hayes, Hans D. Daetwyler, James Kijas and Antonio Reverter

    Citation: Genetics Selection Evolution 2020 52:27

    Content type: Research Article

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  14. Estimating the genetic component of a complex phenotype is a complicated problem, mainly because there are many allele effects to estimate from a limited number of phenotypes. In spite of this difficulty, line...

    Authors: Giel H. H. van Bergen, Pascal Duenk, Cornelis A. Albers, Piter Bijma, Mario P. L. Calus, Yvonne C. J. Wientjes and Hilbert J. Kappen

    Citation: Genetics Selection Evolution 2020 52:26

    Content type: Research Article

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  15. In the Neolithic, domestic sheep migrated into Europe and subsequently spread in westerly and northwesterly directions. Reconstruction of these migrations and subsequent genetic events requires a more detailed...

    Authors: Elena Ciani, Salvatore Mastrangelo, Anne Da Silva, Fabio Marroni, Maja Ferenčaković, Paolo Ajmone-Marsan, Hayley Baird, Mario Barbato, Licia Colli, Chiara Delvento, Toni Dovenski, Gregor Gorjanc, Stephen J. G. Hall, Anila Hoda, Meng-Hua Li, Božidarka Marković…

    Citation: Genetics Selection Evolution 2020 52:25

    Content type: Research Article

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  16. The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) is one of the single-step evaluations that enable a simultaneous analysis of phenotypic and pedigree information of ge...

    Authors: Jeremie Vandenplas, Herwin Eding, Maarten Bosmans and Mario P. L. Calus

    Citation: Genetics Selection Evolution 2020 52:24

    Content type: Research Article

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  17. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Ole F. Christensen, Bjarne Nielsen, Guosheng Su, Tao Xiang, Per Madsen, Tage Ostersen, Ingela Velander and Anders B. Strathe

    Citation: Genetics Selection Evolution 2020 52:23

    Content type: Correction

    Published on:

    The original article was published in Genetics Selection Evolution 2019 51:45

  18. Environmental variance (VE) is partly under genetic control and has recently been proposed as a measure of resilience. Unravelling the genetic background of the VE of complex traits could help to improve resilien...

    Authors: Cristina Casto-Rebollo, María José Argente, María Luz García, Romi Pena and Noelia Ibáñez-Escriche

    Citation: Genetics Selection Evolution 2020 52:22

    Content type: Research Article

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  19. A multi-population genomic prediction (GP) model in which important pre-selected single nucleotide polymorphisms (SNPs) are differentially weighted (MPMG) has been shown to result in better prediction accuracy...

    Authors: Biaty Raymond, Yvonne C. J. Wientjes, Aniek C. Bouwman, Chris Schrooten and Roel F. Veerkamp

    Citation: Genetics Selection Evolution 2020 52:21

    Content type: Research Article

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  20. Control of the environmental variability by genetic selection offers possibilities for new selection objectives for productive traits. This methodology aims at reducing heterogeneity in productive traits and h...

    Authors: Isabel Cervantes, Loys Bodin, Mercedes Valera, Antonio Molina and Juan Pablo Gutiérrez

    Citation: Genetics Selection Evolution 2020 52:20

    Content type: Research Article

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  21. Production and health traits are central in cattle breeding. Advances in next-generation sequencing technologies and genotype imputation have increased the resolution of gene mapping based on genome-wide assoc...

    Authors: Zexi Cai, Magdalena Dusza, Bernt Guldbrandtsen, Mogens Sandø Lund and Goutam Sahana

    Citation: Genetics Selection Evolution 2020 52:19

    Content type: Research Article

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  22. For assembling large whole-genome sequence datasets for routine use in research and breeding, the sequencing strategy should be adapted to the methods that will be used later for variant discovery and imputati...

    Authors: Roger Ros-Freixedes, Andrew Whalen, Gregor Gorjanc, Alan J. Mileham and John M. Hickey

    Citation: Genetics Selection Evolution 2020 52:18

    Content type: Research Article

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  23. The coupling of appropriate sequencing strategies and imputation methods is critical for assembling large whole-genome sequence datasets from livestock populations for research and breeding. In this paper, we ...

    Authors: Roger Ros-Freixedes, Andrew Whalen, Ching-Yi Chen, Gregor Gorjanc, William O. Herring, Alan J. Mileham and John M. Hickey

    Citation: Genetics Selection Evolution 2020 52:17

    Content type: Research Article

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  24. Bayesian regression models are widely used in genomic prediction, where the effects of all markers are estimated simultaneously by combining the information from the phenotypic data with priors for the marker ...

    Authors: Tianjing Zhao, Rohan Fernando, Dorian Garrick and Hao Cheng

    Citation: Genetics Selection Evolution 2020 52:16

    Content type: Research Article

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  25. Polyploidy is widespread in animals and especially in plants. Different kinds of ploidies exist, for example, hexaploidy in wheat, octaploidy in strawberries, and diploidy, triploidy, tetraploidy, and pseudo-t...

    Authors: Kim Erik Grashei, Jørgen Ødegård and Theo H. E. Meuwissen

    Citation: Genetics Selection Evolution 2020 52:15

    Content type: Research Article

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  26. Bovine paratuberculosis is a contagious disease, caused by Mycobacterium avium subsp. paratuberculosis (MAP), with adverse effects on animal welfare and serious economic consequences. Published results on host ge...

    Authors: Marie-Pierre Sanchez, Raphaël Guatteo, Aurore Davergne, Judikael Saout, Cécile Grohs, Marie-Christine Deloche, Sébastien Taussat, Sébastien Fritz, Mekki Boussaha, Philippe Blanquefort, Arnaud Delafosse, Alain Joly, Laurent Schibler, Christine Fourichon and Didier Boichard

    Citation: Genetics Selection Evolution 2020 52:14

    Content type: Research Article

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  27. Skeletal damage is a challenge for laying hens because the physiological adaptations required for egg laying make them susceptible to osteoporosis. Previously, we showed that genetic factors explain 40% of the...

    Authors: Dirk-Jan De Koning, Nazaret Dominguez-Gasca, Robert H. Fleming, Andrew Gill, Dominic Kurian, Andrew Law, Heather A. McCormack, David Morrice, Estefania Sanchez-Rodriguez, Alejandro B. Rodriguez-Navarro, Rudolf Preisinger, Matthias Schmutz, Veronica Šmídová, Frances Turner, Peter W. Wilson, Rongyan Zhou…

    Citation: Genetics Selection Evolution 2020 52:13

    Content type: Research Article

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  28. Transforming large amounts of genomic data into valuable knowledge for predicting complex traits has been an important challenge for animal and plant breeders. Prediction of complex traits has not escaped the ...

    Authors: Rostam Abdollahi-Arpanahi, Daniel Gianola and Francisco Peñagaricano

    Citation: Genetics Selection Evolution 2020 52:12

    Content type: Research Article

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  29. Understanding genetic architecture is essential for determining how traits will change in response to evolutionary processes such as selection, genetic drift and/or gene flow. In Atlantic salmon, age at maturi...

    Authors: Marion Sinclair-Waters, Jørgen Ødegård, Sven Arild Korsvoll, Thomas Moen, Sigbjørn Lien, Craig R. Primmer and Nicola J. Barson

    Citation: Genetics Selection Evolution 2020 52:9

    Content type: Research Article

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  30. Physical removal of individuals from groups causes reductions in group sizes and changes in group composition, which may affect the predictive ability of estimates of indirect genetic effects of animals on phe...

    Authors: Birgitte Ask, Ole F. Christensen, Marzieh Heidaritabar, Per Madsen and Hanne M. Nielsen

    Citation: Genetics Selection Evolution 2020 52:8

    Content type: Research Article

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  31. Breeding genetically hornless, i.e. polled, cattle provides an animal welfare-friendly and non-invasive alternative to the dehorning of calves. However, the molecular regulation of the development of horns in ...

    Authors: Lilian Johanna Gehrke, Aurélien Capitan, Carsten Scheper, Sven König, Maulik Upadhyay, Kristin Heidrich, Ingolf Russ, Doris Seichter, Jens Tetens, Ivica Medugorac and Georg Thaller

    Citation: Genetics Selection Evolution 2020 52:6

    Content type: Research Article

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  32. Most fish breeding programs aim at improving growth rate and include feed conversion ratio (FCR) neither in the breeding goal nor in the selection index, although decreasing FCR is known to increase farm profi...

    Authors: Mathieu Besson, Hans Komen, Gus Rose and Marc Vandeputte

    Citation: Genetics Selection Evolution 2020 52:5

    Content type: Research Article

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  33. In animal breeding, identification of causative genetic variants is of major importance and high economical value. Usually, the number of candidate variants exceeds the number of variants that can be validated...

    Authors: Christian Groß, Martijn Derks, Hendrik-Jan Megens, Mirte Bosse, Martien A. M. Groenen, Marcel Reinders and Dick de Ridder

    Citation: Genetics Selection Evolution 2020 52:4

    Content type: Research Article

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  34. Linear type traits, which reflect the muscular characteristics of an animal, could provide insight into how, in some cases, morphologically very different animals can yield the same carcass weight. Such variab...

    Authors: Jennifer L. Doyle, Donagh P. Berry, Roel F. Veerkamp, Tara R. Carthy, Ross D. Evans, Siobhán W. Walsh and Deirdre C. Purfield

    Citation: Genetics Selection Evolution 2020 52:2

    Content type: Research Article

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  35. The availability of both pedigree and genomic sources of information for animal breeding and genetics has created new challenges in understanding how they can be best used and interpreted. This study estimated...

    Authors: Rajesh Joshi, Theo H. E. Meuwissen, John A. Woolliams and Hans M. Gjøen

    Citation: Genetics Selection Evolution 2020 52:1

    Content type: Research Article

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  36. Tibetan Terrier is a popular medium-sized companion dog breed. According to the history of the breed, the western population of Tibetan Terriers includes two lineages, Lamleh and Luneville. These two lineages ...

    Authors: Mateja Janeš, Minja Zorc, Vlatka Cubric-Curik, Ino Curik and Peter Dovc

    Citation: Genetics Selection Evolution 2019 51:79

    Content type: Research Article

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  37. Inbreeding is caused by mating between related individuals and its most common consequence is inbreeding depression. Several studies have detected heterogeneity in inbreeding depression among founder individua...

    Authors: Luis Varona, Juan Altarriba, Carlos Moreno, María Martínez-Castillero and Joaquim Casellas

    Citation: Genetics Selection Evolution 2019 51:78

    Content type: Research Article

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  38. During the last decade, the use of common-variant array-based single nucleotide polymorphism (SNP) genotyping in the beef and dairy industries has produced an astounding amount of medium-to-low density genomic...

    Authors: Troy N. Rowan, Jesse L. Hoff, Tamar E. Crum, Jeremy F. Taylor, Robert D. Schnabel and Jared E. Decker

    Citation: Genetics Selection Evolution 2019 51:77

    Content type: Research Article

    Published on:

  39. The main aim of single-step genomic predictions was to facilitate optimal selection in populations consisting of both genotyped and non-genotyped individuals. However, in spite of intensive research, biases st...

    Authors: Øyvind Nordbø, Arne B. Gjuvsland, Leiv Sigbjørn Eikje and Theo Meuwissen

    Citation: Genetics Selection Evolution 2019 51:76

    Content type: Research Article

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  40. The dimensionality of genomic information is limited by the number of independent chromosome segments (Me), which is a function of the effective population size. This dimensionality can be determined approximatel...

    Authors: Ivan Pocrnic, Daniela A. L. Lourenco, Yutaka Masuda and Ignacy Misztal

    Citation: Genetics Selection Evolution 2019 51:75

    Content type: Research Article

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  41. Controlled mating procedures are widely accepted as a key aspect of successful breeding in almost all animal species. In honeybees, however, controlled mating is hard to achieve. Therefore, there have been sev...

    Authors: Manuel Plate, Richard Bernstein, Andreas Hoppe and Kaspar Bienefeld

    Citation: Genetics Selection Evolution 2019 51:74

    Content type: Research Article

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  42. Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution. The method can avoid the random walk...

    Authors: Motohide Nishio and Aisaku Arakawa

    Citation: Genetics Selection Evolution 2019 51:73

    Content type: Research Article

    Published on:

  43. Whole-genome sequence (WGS) data could contain information on genetic variants at or in high linkage disequilibrium with causative mutations that underlie the genetic variation of polygenic traits. Thus far, g...

    Authors: Nasir Moghaddar, Majid Khansefid, Julius H. J. van der Werf, Sunduimijid Bolormaa, Naomi Duijvesteijn, Samuel A. Clark, Andrew A. Swan, Hans D. Daetwyler and Iona M. MacLeod

    Citation: Genetics Selection Evolution 2019 51:72

    Content type: Research Article

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  44. As one of the important livestock species around the world, goats provide abundant meat, milk, and fiber to fulfill basic human needs. However, the genetic loci that underlie phenotypic variations in domestic ...

    Authors: Jiazhong Guo, Jie Zhong, Li Li, Tao Zhong, Linjie Wang, Tianzeng Song and Hongping Zhang

    Citation: Genetics Selection Evolution 2019 51:70

    Content type: Research Article

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  45. After publication of this work [1], we noticed that there was an error: the formula to calculate the standard error of the estimated correlation

    Authors: Thinh T. Chu, John W. M. Bastiaansen, Peer Berg, Hélène Romé, Danye Marois, John Henshall and Just Jensen

    Citation: Genetics Selection Evolution 2019 51:68

    Content type: Correction

    Published on:

    The original article was published in Genetics Selection Evolution 2019 51:50

  46. For infectious diseases, the probability that an animal gets infected depends on its own susceptibility, and on the number of infectious herd mates and their infectivity. Together with the duration of the infe...

    Authors: Floor Biemans, Mart C. M. de Jong and Piter Bijma

    Citation: Genetics Selection Evolution 2019 51:67

    Content type: Research Article

    Published on:

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