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  1. Two distinct populations have been extensively studied in Atlantic cod (Gadus morhua L.): the Northeast Arctic cod (NEAC) population and the coastal cod (CC) population. The objectives of the current study were t...

    Authors: Silvia T. Rodríguez-Ramilo, Matthew Baranski, Hooman Moghadam, Harald Grove, Sigbjørn Lien, Mike E. Goddard, Theo H. E. Meuwissen and Anna K. Sonesson
    Citation: Genetics Selection Evolution 2019 51:61
  2. The pig breeding industry has undergone a large number of mergers in the past decades. Various commercial lines were merged or discontinued, which is expected to reduce the genetic diversity of the pig species...

    Authors: Ina Hulsegge, Mario Calus, Rita Hoving-Bolink, Marcos Lopes, Hendrik-Jan Megens and Kor Oldenbroek
    Citation: Genetics Selection Evolution 2019 51:60
  3. Ribosomal DNA (rDNA) repeats are situated in the nucleolus organizer regions (NOR) of chromosomes and transcribed into rRNA for ribosome biogenesis. Thus, they are an essential component of eukaryotic genomes....

    Authors: Alexander Dyomin, Svetlana Galkina, Valerie Fillon, Stephane Cauet, Celine Lopez-Roques, Nathalie Rodde, Christophe Klopp, Alain Vignal, Anastasia Sokolovskaya, Alsu Saifitdinova and Elena Gaginskaya
    Citation: Genetics Selection Evolution 2019 51:59
  4. For genomic selection in populations with a small reference population, combining populations of the same breed or populations of related breeds is an effective way to increase the size of the reference popula...

    Authors: Hailiang Song, Shaopan Ye, Yifan Jiang, Zhe Zhang, Qin Zhang and Xiangdong Ding
    Citation: Genetics Selection Evolution 2019 51:58
  5. Multi-trait single step genetic evaluation is increasingly facing the situation of having more individuals with genotypes than markers within each genotype. This creates a situation where the genomic relations...

    Authors: Vinzent Boerner and David J. Johnston
    Citation: Genetics Selection Evolution 2019 51:57
  6. Native cattle breeds are important genetic resources given their adaptation to the local environment in which they are bred. However, the widespread use of commercial cattle breeds has resulted in a marked red...

    Authors: Maulik Upadhyay, Susanne Eriksson, Sofia Mikko, Erling Strandberg, Hans Stålhammar, Martien A. M. Groenen, Richard P. M. A. Crooijmans, Göran Andersson and Anna M. Johansson
    Citation: Genetics Selection Evolution 2019 51:56
  7. Mate allocation strategies that account for non-additive genetic effects can be used to maximize the overall genetic merit of future offspring. Accounting for dominance effects in genetic evaluations is easier...

    Authors: David González-Diéguez, Llibertat Tusell, Céline Carillier-Jacquin, Alban Bouquet and Zulma G. Vitezica
    Citation: Genetics Selection Evolution 2019 51:55
  8. Inbreeding decreases animal performance (inbreeding depression), but not all inbreeding is expected to be equally harmful. Recent inbreeding is expected to be more harmful than ancient inbreeding, because sele...

    Authors: Harmen P. Doekes, Roel F. Veerkamp, Piter Bijma, Gerben de Jong, Sipke J. Hiemstra and Jack J. Windig
    Citation: Genetics Selection Evolution 2019 51:54
  9. The objectives of this study were to (1) simultaneously estimate genetic parameters for BW, feed intake (FI), and body weight gain (Gain) during a FI test in broiler chickens using multi-trait Bayesian analysi...

    Authors: Wossenie Mebratie, Per Madsen, Rachel Hawken, Hélène Romé, Danye Marois, John Henshall, Henk Bovenhuis and Just Jensen
    Citation: Genetics Selection Evolution 2019 51:53
  10. In France, implementation of genomic evaluations in dairy cattle breeds started in 2009 and this has modified the breeding schemes drastically. In this context, the goal of our study was to understand the impa...

    Authors: Anna-Charlotte Doublet, Pascal Croiseau, Sébastien Fritz, Alexis Michenet, Chris Hozé, Coralie Danchin-Burge, Denis Laloë and Gwendal Restoux
    Citation: Genetics Selection Evolution 2019 51:52
  11. Salmonella infection is a serious concern in poultry farming because of its impact on both economic loss and human health. Chicks aged 20 days or less are extremely vulnerable to Salmonella pullorum (SP), which c...

    Authors: Xinghua Li, Changsheng Nie, Yuchen Liu, Yu Chen, Xueze Lv, Liang Wang, Jianwei Zhang, Kaiyang Li, Yaxiong Jia, Liping Ban, Zhonghua Ning and Lujiang Qu
    Citation: Genetics Selection Evolution 2019 51:51
  12. The increase in accuracy of prediction by using genomic information has been well-documented. However, benefits of the use of genomic information and methodology for genetic evaluations are missing when genoty...

    Authors: Thinh T. Chu, John W. M. Bastiaansen, Peer Berg, Hélène Romé, Danye Marois, John Henshall and Just Jensen
    Citation: Genetics Selection Evolution 2019 51:50

    The Correction to this article has been published in Genetics Selection Evolution 2019 51:68

  13. Breeding companies may want to maximize the rate of genetic gain from their breeding program within a limited budget. In salmon breeding programs, full-sibs of selection candidates are subjected to performance...

    Authors: Kasper Janssen, Helmut W. Saatkamp, Mario P. L. Calus and Hans Komen
    Citation: Genetics Selection Evolution 2019 51:49
  14. Feed efficiency (FE) has a major impact on the economic sustainability of pig production. We used a systems-based approach that integrates single nucleotide polymorphism (SNP) co-association and gene-expressio...

    Authors: Yuliaxis Ramayo-Caldas, Emilio Mármol-Sánchez, Maria Ballester, Juan Pablo Sánchez, Rayner González-Prendes, Marcel Amills and Raquel Quintanilla
    Citation: Genetics Selection Evolution 2019 51:48
  15. Infectious hematopoietic necrosis (IHN) is a disease of salmonid fish that is caused by the IHN virus (IHNV). Under intensive aquaculture conditions, IHNV can cause significant mortality and economic losses. C...

    Authors: Roger L. Vallejo, Hao Cheng, Breno O. Fragomeni, Kristy L. Shewbridge, Guangtu Gao, John R. MacMillan, Richard Towner and Yniv Palti
    Citation: Genetics Selection Evolution 2019 51:47
  16. Meat production from the commercial crossbred Duroc × (Landrace × Yorkshire) (DLY) pig is predominant in the pork industry, but its meat quality is often impaired by low ultimate pH (pHu). Muscle glycogen leve...

    Authors: Xianxian Liu, Lisheng Zhou, Xianhua Xie, Zhongzi Wu, Xinwei Xiong, Zhiyan Zhang, Jie Yang, Shijun Xiao, Mengqing Zhou, Junwu Ma and Lusheng Huang
    Citation: Genetics Selection Evolution 2019 51:46
  17. Crossbreeding is widely used in pig production because of the benefits of heterosis effects and breed complementarity. Commonly, sire lines are bred for traits such as feed efficiency, growth and meat content,...

    Authors: Ole F. Christensen, Bjarne Nielsen, Guosheng Su, Tao Xiang, Per Madsen, Tage Ostersen, Ingela Velander and Anders B. Strathe
    Citation: Genetics Selection Evolution 2019 51:45

    The Correction to this article has been published in Genetics Selection Evolution 2020 52:23

  18. Experimental intercrosses between outbred founder populations are powerful resources for mapping loci that contribute to complex traits i.e. quantitative trait loci (QTL). Here, we present an approach and its ...

    Authors: Yanjun Zan, Thibaut Payen, Mette Lillie, Christa F. Honaker, Paul B. Siegel and Örjan Carlborg
    Citation: Genetics Selection Evolution 2019 51:44
  19. Random regression models (RRM) are widely used to analyze longitudinal data in genetic evaluation systems because they can better account for time-course changes in environmental effects and additive genetic v...

    Authors: Mathieu Arnal, Hélène Larroque, Hélène Leclerc, Vincent Ducrocq and Christèle Robert-Granié
    Citation: Genetics Selection Evolution 2019 51:43
  20. Columnaris disease (CD) is an emerging problem for the rainbow trout aquaculture industry in the US. The objectives of this study were to: (1) identify common genomic regions that explain a large proportion of...

    Authors: Rafael M. O. Silva, Jason P. Evenhuis, Roger L. Vallejo, Guangtu Gao, Kyle E. Martin, Tim D. Leeds, Yniv Palti and Daniela A. L. Lourenco
    Citation: Genetics Selection Evolution 2019 51:42
  21. Recessive loss-of-function (LOF) alleles at genes which are essential for life, can result in early embryonic mortality. Cattle producers can use the LOF carrier status of individual animals to make selection ...

    Authors: Lindsay R. Upperman, Brian P. Kinghorn, Michael D. MacNeil and Alison L. Van Eenennaam
    Citation: Genetics Selection Evolution 2019 51:36
  22. This study aimed at estimating genetic parameters of sex-influenced production traits, evaluating the impact of genotype-by-sex interaction, and identifying the selection criteria that could be included in mul...

    Authors: Fernanda S. S. Raidan, Laercio R. Porto-Neto and Antonio Reverter
    Citation: Genetics Selection Evolution 2019 51:41
  23. In modern dairy breeding programmes, high contributions from foreign sires are nearly always present. Genotyping, and therefore genomic selection (GS), concern only a subpopulation of the breeding programme’s ...

    Authors: Daragh Matthews, John F. Kearney, Andrew R. Cromie, Fiona S. Hely and Peter R. Amer
    Citation: Genetics Selection Evolution 2019 51:40
  24. We tested the premise that optimum-contribution selection with pedigree relationships to control inbreeding (POCS) realises at least as much true genetic gain as optimum-contribution selection with genomic rel...

    Authors: Mark Henryon, Huiming Liu, Peer Berg, Guosheng Su, Hanne Marie Nielsen, Gebreyohans T. Gebregiwergis and A. Christian Sørensen
    Citation: Genetics Selection Evolution 2019 51:39
  25. Pig and poultry breeding programs aim at improving crossbred (CB) performance. Selection response may be suboptimal if only purebred (PB) performance is used to compute genomic estimated breeding values (GEBV)...

    Authors: Pascal Duenk, Mario P. L. Calus, Yvonne C. J. Wientjes, Vivian P. Breen, John M. Henshall, Rachel Hawken and Piter Bijma
    Citation: Genetics Selection Evolution 2019 51:38

    The Correction to this article has been published in Genetics Selection Evolution 2019 51:63

  26. This study aimed at identifying genomic regions that underlie genetic variation of worm egg count, as an indicator trait for parasite resistance in a large population of Australian sheep, which was genotyped w...

    Authors: Mohammad Al Kalaldeh, John Gibson, Sang Hong Lee, Cedric Gondro and Julius H. J. van der Werf
    Citation: Genetics Selection Evolution 2019 51:37
  27. The Finnhorse was established as a breed more than 110 years ago by combining local Finnish landraces. Since its foundation, the breed has experienced both strong directional selection, especially for size and...

    Authors: Laura Kvist, Markku Niskanen, Kristiina Mannermaa, Saskia Wutke and Jouni Aspi
    Citation: Genetics Selection Evolution 2019 51:35
  28. Milk quality in dairy cattle is routinely assessed via analysis of mid-infrared (MIR) spectra; this approach can also be used to predict the milk’s cheese-making properties (CMP) and composition. When this met...

    Authors: Marie-Pierre Sanchez, Yuliaxis Ramayo-Caldas, Valérie Wolf, Cécile Laithier, Mohammed El Jabri, Alexis Michenet, Mekki Boussaha, Sébastien Taussat, Sébastien Fritz, Agnès Delacroix-Buchet, Mickaël Brochard and Didier Boichard
    Citation: Genetics Selection Evolution 2019 51:34
  29. In this paper, we evaluate the performance of using family-specific low-density genotype arrays to increase the accuracy of pedigree-based imputation. Genotype imputation is a widely used tool that decreases t...

    Authors: Andrew Whalen, Gregor Gorjanc and John M. Hickey
    Citation: Genetics Selection Evolution 2019 51:33
  30. This study aimed at (1) comparing the accuracies of genomic prediction for parasite resistance in sheep based on whole-genome sequence (WGS) data to those based on 50k and high-density (HD) single nucleotide p...

    Authors: Mohammad Al Kalaldeh, John Gibson, Naomi Duijvesteijn, Hans D. Daetwyler, Iona MacLeod, Nasir Moghaddar, Sang Hong Lee and Julius H. J. van der Werf
    Citation: Genetics Selection Evolution 2019 51:32
  31. Heat stress negatively affects the welfare and production of chickens. High ambient temperature is considered one of the most ubiquitous abiotic environmental challenges to laying hens around the world. In thi...

    Authors: Kaylee Rowland, Chris M. Ashwell, Michael E. Persia, Max F. Rothschild, Carl Schmidt and Susan J. Lamont
    Citation: Genetics Selection Evolution 2019 51:31
  32. The preconditioned conjugate gradient (PCG) method is an iterative solver of linear equations systems commonly used in animal breeding. However, the PCG method has been shown to encounter convergence issues wh...

    Authors: Jeremie Vandenplas, Mario P. L. Calus, Herwin Eding and Cornelis Vuik
    Citation: Genetics Selection Evolution 2019 51:30
  33. Selection of cattle that are less sensitive to environmental variation in unfavorable environments and more adapted to harsh conditions is of primary importance for tropical beef cattle production systems. Und...

    Authors: Roberto Carvalheiro, Roy Costilla, Haroldo H. R. Neves, Lucia G. Albuquerque, Stephen Moore and Ben J. Hayes
    Citation: Genetics Selection Evolution 2019 51:29
  34. Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wide association studies...

    Authors: Ignacio Aguilar, Andres Legarra, Fernando Cardoso, Yutaka Masuda, Daniela Lourenco and Ignacy Misztal
    Citation: Genetics Selection Evolution 2019 51:28
  35. Selection of mice for decreased environmental variability of birth weight has achieved higher survivability and larger litter size as a correlated response to canalized selection, which suggests higher welfare...

    Authors: Nora Formoso-Rafferty, Isabel Cervantes, Juan Pablo Sánchez, Juan Pablo Gutiérrez and Loys Bodin
    Citation: Genetics Selection Evolution 2019 51:27
  36. Selective breeding is a relatively recent practice in aquaculture species compared to terrestrial livestock. Nevertheless, the genetic variability of farmed salmonid lines, which have been selected for several...

    Authors: Jonathan D’Ambrosio, Florence Phocas, Pierrick Haffray, Anastasia Bestin, Sophie Brard-Fudulea, Charles Poncet, Edwige Quillet, Nicolas Dechamp, Clémence Fraslin, Mathieu Charles and Mathilde Dupont-Nivet
    Citation: Genetics Selection Evolution 2019 51:26
  37. The cuticle is an invisible glycosylated protein layer that covers the outside of the eggshell and forms a barrier to the transmission of microorganisms. Cuticle-specific staining and in situ absorbance measur...

    Authors: Ian C. Dunn, John A. Woolliams, Peter W. Wilson, Wiebke Icken, David Cavero, Anita C. Jones, Fiona Quinlan-Pluck, Gareth O. S. Williams, Victor Olori and Maureen M. Bain
    Citation: Genetics Selection Evolution 2019 51:25
  38. In settings with social interactions, the phenotype of an individual is affected by the direct genetic effect (DGE) of the individual itself and by indirect genetic effects (IGE) of its group mates. In the pre...

    Authors: Marzieh Heidaritabar, Piter Bijma, Luc Janss, Chiara Bortoluzzi, Hanne M. Nielsen, Per Madsen, Birgitte Ask and Ole F. Christensen
    Citation: Genetics Selection Evolution 2019 51:24
  39. Fatty acids (FA) in bovine milk derive through body mobilization, de novo synthesis or from the feed via the blood stream. To be able to digest feedstuff, the cow depends on its rumen microbiome. The relative ...

    Authors: Bart Buitenhuis, Jan Lassen, Samantha Joan Noel, Damian R. Plichta, Peter Sørensen, Gareth F. Difford and Nina A. Poulsen
    Citation: Genetics Selection Evolution 2019 51:23
  40. Since the 1950s, the Norwegian–Swedish Coldblooded trotter (NSCT) has been intensively selected for harness racing performance. As a result, the racing performance of the NSCT has improved remarkably; however,...

    Authors: Brandon D. Velie, Marina Solé, Kim Jäderkvist Fegraeus, Maria K. Rosengren, Knut H. Røed, Carl-Fredrik Ihler, Eric Strand and Gabriella Lindgren
    Citation: Genetics Selection Evolution 2019 51:22
  41. Genome-wide association studies (GWAS) are widely used to identify regions of the genome that harbor genetic determinants of quantitative traits. However, the multiple-testing burden from scanning tens of mill...

    Authors: Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund and Goutam Sahana
    Citation: Genetics Selection Evolution 2019 51:20
  42. Growth curves have been widely used in genetic analyses to gain insights into the growth characteristics of both animals and plants. However, several questions remain unanswered, including how the initial phen...

    Authors: Akio Onogi, Atsushi Ogino, Ayako Sato, Kazuhito Kurogi, Takanori Yasumori and Kenji Togashi
    Citation: Genetics Selection Evolution 2019 51:19
  43. Societal pressures exist to reduce greenhouse gas (GHG) emissions from farm animals, especially in beef cattle. Both total GHG and GHG emissions per unit of product decrease as productivity increases. Limitati...

    Authors: Stephen A. Barwick, Anthony L. Henzell, Robert M. Herd, Bradley J. Walmsley and Paul F. Arthur
    Citation: Genetics Selection Evolution 2019 51:18
  44. Catla catla (Hamilton) fertilised spawn was collected from the Halda, Jamuna and Padma rivers in Bangladesh from which approximately 900 individuals were retained as ‘candidate founders’ of a breeding population....

    Authors: Matthew G. Hamilton, Wagdy Mekkawy and John A. H. Benzie
    Citation: Genetics Selection Evolution 2019 51:17
  45. Large-scale phenotyping for detailed milk fatty acid (FA) composition is difficult due to expensive and time-consuming analytical techniques. Reliability of genomic prediction is often low for traits that are ...

    Authors: Grum Gebreyesus, Henk Bovenhuis, Mogens S. Lund, Nina A. Poulsen, Dongxiao Sun and Bart Buitenhuis
    Citation: Genetics Selection Evolution 2019 51:16
  46. Quantitative genetic studies suggest the existence of variation at the genome level that affects the ability of cattle to resist to parasitic diseases. The objective of the current study was to identify region...

    Authors: Alan J. Twomey, Donagh P. Berry, Ross D. Evans, Michael L. Doherty, David A. Graham and Deirdre C. Purfield
    Citation: Genetics Selection Evolution 2019 51:15
  47. In this paper, we simulate deleterious load in an animal breeding program, and compare the efficiency of genome editing and selection for decreasing it. Deleterious variants can be identified by bioinformatics...

    Authors: Martin Johnsson, R. Chris Gaynor, Janez Jenko, Gregor Gorjanc, Dirk-Jan de Koning and John M. Hickey
    Citation: Genetics Selection Evolution 2019 51:14
  48. We used stable isotope profiling (15N and 13C) to obtain indicator phenotypes for feed efficiency in aquaculture. Our objectives were to (1) examine whether atom percent of stable isotopes of nitrogen and carbon ...

    Authors: Hanne Dvergedal, Jørgen Ødegård, Margareth Øverland, Liv Torunn Mydland and Gunnar Klemetsdal
    Citation: Genetics Selection Evolution 2019 51:13
  49. In quail, two feather colour phenotypes i.e. fawn-2/beige and yellow are associated with the ASIP locus. The aim of our study was to characterize the structural modifications within this locus that explain the ye...

    Authors: Annie Robic, Mireille Morisson, Sophie Leroux, David Gourichon, Alain Vignal, Noémie Thebault, Valérie Fillon, Francis Minvielle, Bertrand Bed’Hom, Tatiana Zerjal and Frédérique Pitel
    Citation: Genetics Selection Evolution 2019 51:12

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