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  1. Improving feedlot performance, carcase weight and quality is a primary goal of the beef industry worldwide. Here, we used data from 3408 Australian Angus steers from seven years of birth (YOB) cohorts (2011–20...

    Authors: Pâmela A. Alexandre, Yutao Li, Brad C. Hine, Christian J. Duff, Aaron B. Ingham, Laercio R. Porto-Neto and Antonio Reverter
    Citation: Genetics Selection Evolution 2021 53:77

    The Correction to this article has been published in Genetics Selection Evolution 2021 53:88

  2. Backfat thickness is an important carcass composition trait for pork production and is commonly included in swine breeding programmes. In this paper, we report the results of a large genome-wide association st...

    Authors: Miguel Gozalo-Marcilla, Jaap Buntjer, Martin Johnsson, Lorena Batista, Federico Diez, Christian R. Werner, Ching-Yi Chen, Gregor Gorjanc, Richard J. Mellanby, John M. Hickey and Roger Ros-Freixedes
    Citation: Genetics Selection Evolution 2021 53:76
  3. We tested the hypothesis that breeding schemes with a pre-selection step, in which carriers of a lethal recessive allele (LRA) were culled, and with optimum-contribution selection (OCS) reduce the frequency of...

    Authors: Line Hjortø, Mark Henryon, Huiming Liu, Peer Berg, Jørn Rind Thomasen and Anders Christian Sørensen
    Citation: Genetics Selection Evolution 2021 53:75
  4. Goat, one of the first domesticated livestock, is a worldwide important species both culturally and economically. The current goat reference genome, known as ARS1, is reported as the first nonhuman genome asse...

    Authors: Ran Li, Peng Yang, Xuelei Dai, Hojjat Asadollahpour Nanaei, Wenwen Fang, Zhirui Yang, Yudong Cai, Zhuqing Zheng, Xihong Wang and Yu Jiang
    Citation: Genetics Selection Evolution 2021 53:74
  5. India is the largest milk producer globally, with the largest proportion of cattle milk production coming from smallholder farms with an average herd size of less than two milking cows. These cows are mainly u...

    Authors: Mohammad Al Kalaldeh, Marimuthu Swaminathan, Yuvraj Gaundare, Sachin Joshi, Hassan Aliloo, Eva M. Strucken, Vincent Ducrocq and John P. Gibson
    Citation: Genetics Selection Evolution 2021 53:73
  6. Various regions of the chicken genome have been under natural and artificial selection for thousands of years. The substantial diversity that exits among chickens from different geographic regions provides an ...

    Authors: Elaheh Rostamzadeh Mahdabi, Ali Esmailizadeh, Ahmad Ayatollahi Mehrgardi and Masood Asadi Fozi
    Citation: Genetics Selection Evolution 2021 53:72

    The Correction to this article has been published in Genetics Selection Evolution 2022 54:28

  7. Efficient breeding programs are difficult to implement in honeybees due to their biological specificities (polyandry and haplo-diploidy) and complexity of the traits of interest, with performances being measur...

    Authors: Tristan Kistler, Benjamin Basso and Florence Phocas
    Citation: Genetics Selection Evolution 2021 53:71
  8. Body weight (BW) is an economically important trait in the broiler (meat-type chickens) industry. Under the assumption of polygenicity, a “large” number of genes with “small” effects is expected to control BW....

    Authors: Christos Dadousis, Adriana Somavilla, Joanna J. Ilska, Martin Johnsson, Lorena Batista, Richard J. Mellanby, Denis Headon, Paolo Gottardo, Andrew Whalen, David Wilson, Ian C. Dunn, Gregor Gorjanc, Andreas Kranis and John M. Hickey
    Citation: Genetics Selection Evolution 2021 53:70
  9. Global warming has increased the frequency of heat stress in livestock. Although heat stress directly leads to negative effects on production and reproduction traits in dairy cattle, the transgenerational tran...

    Authors: Joel Ira Weller, Ephraim Ezra and Moran Gershoni
    Citation: Genetics Selection Evolution 2021 53:69
  10. The advent of genomic information and the reduction in the cost of genotyping have led to the use of genomic information to estimate genomic inbreeding as an alternative to pedigree inbreeding. Using genomic m...

    Authors: Bayode O. Makanjuola, Christian Maltecca, Filippo Miglior, Gabriele Marras, Emhimad A. Abdalla, Flavio S. Schenkel and Christine F. Baes
    Citation: Genetics Selection Evolution 2021 53:68
  11. In broiler production, breast muscle weight and intramuscular fat (IMF) content are important economic traits. Understanding the genetic mechanisms that underlie these traits is essential to implement effectiv...

    Authors: Huimin Kang, Di Zhao, Hai Xiang, Jing Li, Guiping Zhao and Hua Li
    Citation: Genetics Selection Evolution 2021 53:66
  12. Analysis and prediction of complex traits using microbiome data combined with host genomic information is a topic of utmost interest. However, numerous questions remain to be answered: how useful can the micro...

    Authors: Miguel Pérez-Enciso, Laura M. Zingaretti, Yuliaxis Ramayo-Caldas and Gustavo de los Campos
    Citation: Genetics Selection Evolution 2021 53:65

    The Correction to this article has been published in Genetics Selection Evolution 2021 53:97

  13. With the completion of a single nucleotide polymorphism (SNP) chip for honey bees, the technical basis of genomic selection is laid. However, for its application in practice, methods to estimate genomic breedi...

    Authors: Richard Bernstein, Manuel Du, Andreas Hoppe and Kaspar Bienefeld
    Citation: Genetics Selection Evolution 2021 53:64
  14. Linkage disequilibrium (LD) is a key parameter to study the history of populations and to identify and fine map quantitative trait loci (QTL) and it has been studied for many years in animal populations. The a...

    Authors: Abdelmajid El Hou, Dominique Rocha, Eric Venot, Véronique Blanquet and Romain Philippe
    Citation: Genetics Selection Evolution 2021 53:63
  15. Fourier-transform mid-infrared (FT-MIR) spectroscopy provides a high-throughput and inexpensive method for predicting milk composition and other novel traits from milk samples. While there have been many genom...

    Authors: Kathryn M. Tiplady, Thomas J. Lopdell, Edwardo Reynolds, Richard G. Sherlock, Michael Keehan, Thomas JJ. Johnson, Jennie E. Pryce, Stephen R. Davis, Richard J. Spelman, Bevin L. Harris, Dorian J. Garrick and Mathew D. Littlejohn
    Citation: Genetics Selection Evolution 2021 53:62
  16. Egg production traits are economically important in poultry breeding programs. Previous studies have shown that incorporating genomic data can increase the accuracy of genetic prediction of egg production. Our...

    Authors: Hakimeh Emamgholi Begli, Lawrence R. Schaeffer, Emhimad Abdalla, Emmanuel A. Lozada-Soto, Alexandra Harlander-Matauschek, Benjamin J Wood and Christine F. Baes
    Citation: Genetics Selection Evolution 2021 53:61
  17. Managing beneficial Mendelian characteristics in dairy cattle breeding programs implies that the correlated genetic effects are considered to avoid possible adverse effects in selection processes. The Mendelia...

    Authors: Carsten Scheper, Reiner Emmerling, Kay-Uwe Götz and Sven König
    Citation: Genetics Selection Evolution 2021 53:60
  18. Environmental variance (VE) is partially under genetic control, which means that the VE of individuals that share the same environment can differ because they have different genotypes. Previously, a divergent sel...

    Authors: Cristina Casto-Rebollo, María José Argente, María Luz García, Agustín Blasco and Noelia Ibáñez-Escriche
    Citation: Genetics Selection Evolution 2021 53:59
  19. Imputation to whole-genome sequence is now possible in large sheep populations. It is therefore of interest to use this data in genome-wide association studies (GWAS) to investigate putative causal variants an...

    Authors: Sunduimijid Bolormaa, Andrew A. Swan, Paul Stothard, Majid Khansefid, Nasir Moghaddar, Naomi Duijvesteijn, Julius H. J. van der Werf, Hans D. Daetwyler and Iona M. MacLeod
    Citation: Genetics Selection Evolution 2021 53:58
  20. Twin and multiple births are rare in cattle and have a negative impact on the performance and health of cows and calves. Therefore, selection against multiple birth would be desirable in dairy cattle breeds su...

    Authors: Sarah Widmer, Franz R. Seefried, Peter von Rohr, Irene M. Häfliger, Mirjam Spengeler and Cord Drögemüller
    Citation: Genetics Selection Evolution 2021 53:57
  21. Genetic improvement of wool and growth traits is a major goal in the sheep industry, but their underlying genetic architecture remains elusive. To improve our understanding of these mechanisms, we conducted a ...

    Authors: Bingru Zhao, Hanpeng Luo, Xixia Huang, Chen Wei, Jiang Di, Yuezhen Tian, Xuefeng Fu, Bingjie Li, George E. Liu, Lingzhao Fang, Shengli Zhang and Kechuan Tian
    Citation: Genetics Selection Evolution 2021 53:56
  22. Mathematical models are needed for the design of breeding programs using genomic prediction. While deterministic models for selection on pedigree-based estimates of breeding values (PEBV) are available, these ...

    Authors: Jack C. M. Dekkers, Hailin Su and Jian Cheng
    Citation: Genetics Selection Evolution 2021 53:55

    The Correction to this article has been published in Genetics Selection Evolution 2021 53:81

  23. Meiotic recombination results in the exchange of genetic material between homologous chromosomes. Recombination rate varies between different parts of the genome, between individuals, and is influenced by gene...

    Authors: Martin Johnsson, Andrew Whalen, Roger Ros-Freixedes, Gregor Gorjanc, Ching-Yi Chen, William O. Herring, Dirk-Jan de Koning and John M. Hickey
    Citation: Genetics Selection Evolution 2021 53:54
  24. Residual feed intake (RFI) is one measure of feed efficiency, which is usually obtained by multiple regression of feed intake (FI) on measures of production, body weight gain and tissue composition. If phenoty...

    Authors: Ingrid David, Van-Hung Huynh Tran and Hélène Gilbert
    Citation: Genetics Selection Evolution 2021 53:53
  25. Expression of the cellular prion protein (PrPC) is crucial for the development of prion diseases. Amino acid changes in PrPC or a reduced amount of PrPC may modulate disease resistance. The relative abundance of ...

    Authors: Sally A. Madsen-Bouterse, Paula Stewart, Helen Williamson, David A. Schneider and Wilfred Goldmann
    Citation: Genetics Selection Evolution 2021 53:52
  26. There is an increasing need to account for genotype-by-environment (G × E) interactions in livestock breeding programs to improve productivity and animal welfare across environmental and management conditions....

    Authors: Shi-Yi Chen, Pedro H. F. Freitas, Hinayah R. Oliveira, Sirlene F. Lázaro, Yi Jian Huang, Jeremy T. Howard, Youping Gu, Allan P. Schinckel and Luiz F. Brito
    Citation: Genetics Selection Evolution 2021 53:51
  27. While the adoption of genomic evaluations in livestock has increased genetic gain rates, its effects on genetic diversity and accumulation of inbreeding have raised concerns in cattle populations. Increased in...

    Authors: Emmanuel A. Lozada-Soto, Christian Maltecca, Duc Lu, Stephen Miller, John B. Cole and Francesco Tiezzi
    Citation: Genetics Selection Evolution 2021 53:50
  28. Feed efficiency is a major driver of the sustainability of pig production systems. Understanding the biological mechanisms that underlie these agronomic traits is an important issue for environment questions a...

    Authors: Emilie Delpuech, Amir Aliakbari, Yann Labrune, Katia Fève, Yvon Billon, Hélène Gilbert and Juliette Riquet
    Citation: Genetics Selection Evolution 2021 53:49
  29. During the Neolithic expansion, cattle accompanied humans and spread from their domestication centres to colonize the ancient world. In addition, European cattle occasionally intermingled with both indicine ca...

    Authors: Gabriele Senczuk, Salvatore Mastrangelo, Paolo Ajmone-Marsan, Zsolt Becskei, Paolo Colangelo, Licia Colli, Luca Ferretti, Taki Karsli, Hovirag Lancioni, Emiliano Lasagna, Donata Marletta, Christian Persichilli, Baldassare Portolano, Francesca M. Sarti, Elena Ciani and Fabio Pilla
    Citation: Genetics Selection Evolution 2021 53:48
  30. The genetic structure of a diverse set of 15 Indian indigenous breeds and non-descript indigenous cattle sampled from eight states was examined, based on 777 k single nucleotide polymorphism (SNP) genotypes ob...

    Authors: Eva M. Strucken, Netsanet Z. Gebrehiwot, Marimuthu Swaminathan, Sachin Joshi, Mohammad Al Kalaldeh and John P. Gibson
    Citation: Genetics Selection Evolution 2021 53:47
  31. In dairy cattle populations in which crossbreeding has been used, animals show some level of diversity in their origins. In rotational crossbreeding, for instance, crossbred dams are mated with purebred sires ...

    Authors: Emre Karaman, Guosheng Su, Iola Croue and Mogens S. Lund
    Citation: Genetics Selection Evolution 2021 53:46
  32. Dense single nucleotide polymorphism (SNP) panels are widely used for genome-wide association studies (GWAS). In these panels, SNPs within a genomic segment tend to be highly correlated. Thus, association stud...

    Authors: Jinghui Li, Zigui Wang, Rohan Fernando and Hao Cheng
    Citation: Genetics Selection Evolution 2021 53:45
  33. In all organisms, life-history traits are constrained by trade-offs, which may represent physiological limitations or be related to energy resource management. To detect trade-offs within a population, one pro...

    Authors: Tatiana Zerjal, Sonja Härtle, David Gourichon, Vanaïque Guillory, Nicolas Bruneau, Denis Laloë, Marie-Hélène Pinard-van der Laan, Sascha Trapp, Bertrand Bed’hom and Pascale Quéré
    Citation: Genetics Selection Evolution 2021 53:44
  34. Mature microRNAs (miRNAs) play an important role in repressing the expression of a wide range of mRNAs. The presence of polymorphic sites in miRNA genes and their corresponding 3′UTR binding sites can disrupt ...

    Authors: Emilio Mármol-Sánchez, María Gracia Luigi-Sierra, Anna Castelló, Dailu Guan, Raquel Quintanilla, Raul Tonda and Marcel Amills
    Citation: Genetics Selection Evolution 2021 53:43
  35. Genomic relationship matrices are used to obtain genomic inbreeding coefficients. However, there are several methodologies to compute these matrices and there is still an unresolved debate on which one provide...

    Authors: Beatriz Villanueva, Almudena Fernández, María Saura, Armando Caballero, Jesús Fernández, Elisabeth Morales-González, Miguel A. Toro and Ricardo Pong-Wong
    Citation: Genetics Selection Evolution 2021 53:42
  36. Homozygous recessive deleterious mutations can cause embryo/fetal or neonatal lethality, or genetic defects that affect female fertility and animal welfare. In livestock populations under selection, the freque...

    Authors: Maxime Ben Braiek, Stéphane Fabre, Chris Hozé, Jean-Michel Astruc and Carole Moreno-Romieux
    Citation: Genetics Selection Evolution 2021 53:41
  37. Nellore cattle (Bos indicus) are well-known for their adaptation to warm and humid environments. Hair length and coat color may impact heat tolerance. The Nellore breed has been strongly selected for white coat, ...

    Authors: Beatriz B. Trigo, Adam T. H. Utsunomiya, Alvaro A. A. D. Fortunato, Marco Milanesi, Rafaela B. P. Torrecilha, Harrison Lamb, Loan Nguyen, Elizabeth M. Ross, Ben Hayes, Rômulo C. M. Padula, Thayla S. Sussai, Ludmilla B. Zavarez, Rafael S. Cipriano, Maria M. T. Caminhas, Flavia L. Lopes, Cassiano Pelle…
    Citation: Genetics Selection Evolution 2021 53:40
  38. Short tandem repeats (STRs) are genetic markers with a greater mutation rate than single nucleotide polymorphisms (SNPs) and are widely used in genetic studies and forensics. However, most studies in pigs have...

    Authors: Zhongzi Wu, Huanfa Gong, Mingpeng Zhang, Xinkai Tong, Huashui Ai, Shijun Xiao, Miguel Perez-Enciso, Bin Yang and Lusheng Huang
    Citation: Genetics Selection Evolution 2021 53:39
  39. As cage-free production systems become increasingly popular, behavioral traits such as nesting behavior and temperament have become more important. The objective of this study was to estimate heritabilities fo...

    Authors: Anna Wolc, Petek Settar, Janet E. Fulton, Jesus Arango, Kaylee Rowland, Danny Lubritz and Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2021 53:38
  40. Streptococcosis is a major bacterial disease in Nile tilapia that is caused by Streptococcus agalactiae infection, and development of resistant strains of Nile tilapia represents a sustainable approach towards co...

    Authors: Rajesh Joshi, Anders Skaarud, Alejandro Tola Alvarez, Thomas Moen and Jørgen Ødegård
    Citation: Genetics Selection Evolution 2021 53:37
  41. Migration of a population from its founder population is expected to cause a reduction of its genetic diversity and facilitates differentiation between the population and its founder population, as predicted b...

    Authors: Dorcus Kholofelo Malomane, Steffen Weigend, Armin Otto Schmitt, Annett Weigend, Christian Reimer and Henner Simianer
    Citation: Genetics Selection Evolution 2021 53:36
  42. The most prolific duck genetic resource in the world is located in Southeast/South Asia but little is known about the domestication and complex histories of these duck populations.

    Authors: Fan Jiang, Ruiyi Lin, Changyi Xiao, Tanghui Xie, Yaoxin Jiang, Jianhai Chen, Pan Ni, Wing-Kin Sung, Jianlin Han, Xiaoyong Du and Shijun Li
    Citation: Genetics Selection Evolution 2021 53:35
  43. The preconditioned conjugate gradient (PCG) method is the current method of choice for iterative solving of genetic evaluations. The relative difference between two successive iterates and the relative residua...

    Authors: Jeremie Vandenplas, Mario P. L. Calus, Herwin Eding, Mathijs van Pelt, Rob Bergsma and Cornelis Vuik
    Citation: Genetics Selection Evolution 2021 53:34
  44. In breeding programs, recording large-scale feed intake (FI) data routinely at the individual level is costly and difficult compared with other production traits. An alternative approach could be to record FI ...

    Authors: Hongding Gao, Guosheng Su, Just Jensen, Per Madsen, Ole F. Christensen, Birgitte Ask, Bjarke G. Poulsen, Tage Ostersen and Bjarne Nielsen
    Citation: Genetics Selection Evolution 2021 53:33
  45. Susceptibility of European sea bass (Dicentrarchus labrax L.) to viral nervous necrosis (VNN) is well-known. Interest towards selective breeding as a tool to enhance genetic resistance in this species has increas...

    Authors: Sara Faggion, Daniela Bertotto, Massimiliano Babbucci, Giulia Dalla Rovere, Rafaella Franch, Mauro Bovolenta, Stanislas Laureau, Francesco Pascoli, Anna Toffan, Luca Bargelloni and Paolo Carnier
    Citation: Genetics Selection Evolution 2021 53:32
  46. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Harly J. Durbin, Duc Lu, Helen Yampara-Iquise, Stephen P. Miller and Jared E. Decker
    Citation: Genetics Selection Evolution 2021 53:31

    The original article was published in Genetics Selection Evolution 2020 52:63

  47. The impact of individual genetic and genomic variations on immune responses is an emerging lever investigated in vaccination strategies. In our study, we used genetic and pre-vaccination blood transcriptomic d...

    Authors: Fany Blanc, Tatiana Maroilley, Manuel Revilla, Gaëtan Lemonnier, Jean-Jacques Leplat, Yvon Billon, Laure Ravon, Olivier Bouchez, Jean-Pierre Bidanel, Bertrand Bed’Hom, Marie-Hélène Pinard-van der Laan, Jordi Estellé and Claire Rogel-Gaillard
    Citation: Genetics Selection Evolution 2021 53:24
  48. Over the past decade, Fourier transform infrared (FTIR) spectroscopy has been used to predict novel milk protein phenotypes. Genomic data might help predict these phenotypes when integrated with milk FTIR spec...

    Authors: Toshimi Baba, Sara Pegolo, Lucio F. M. Mota, Francisco Peñagaricano, Giovanni Bittante, Alessio Cecchinato and Gota Morota
    Citation: Genetics Selection Evolution 2021 53:29

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