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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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

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

  8. 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
  9. The detection of regions that affect quantitative traits (QTL), to implement selection assisted by molecular information, remains of particular interest in dairy sheep for which genetic gain is constrained by ...

    Authors: Mario Graziano Usai, Sara Casu, Tiziana Sechi, Sotero L. Salaris, Sabrina Miari, Stefania Sechi, Patrizia Carta and Antonello Carta
    Citation: Genetics Selection Evolution 2019 51:65
  10. Phenotypic records of group means or group sums are a good alternative to individual records for some difficult to measure, but economically important traits such as feed efficiency or egg production. Accuracy...

    Authors: Thinh T. Chu, John W. M. Bastiaansen, Peer Berg and Hans Komen
    Citation: Genetics Selection Evolution 2019 51:64
  11. Following publication of original article [1], we noticed that there was an error: Eq. (3) on page 5 is the genomic relationship matrix that

    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 51:63

    The original article was published in Genetics Selection Evolution 2019 51:38

  12. White spotting of the coat is a characteristic trait of various domestic species including cattle and other mammals. It is a hallmark of Holstein–Friesian cattle, and several previous studies have detected gen...

    Authors: Swati Jivanji, Gemma Worth, Thomas J. Lopdell, Anna Yeates, Christine Couldrey, Edwardo Reynolds, Kathryn Tiplady, Lorna McNaughton, Thomas J. J. Johnson, Stephen R. Davis, Bevin Harris, Richard Spelman, Russell G. Snell, Dorian Garrick and Mathew D. Littlejohn
    Citation: Genetics Selection Evolution 2019 51:62
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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

  25. 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
  26. 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
  27. 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
  28. 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
  29. 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

  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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

  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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

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