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  1. In the early 20th century, Cuban farmers imported Charolais cattle (CHFR) directly from France. These animals are now known as Chacuba (CHCU) and have become adapted to the rough environmental tropical conditi...

    Authors: Lino C. Ramírez-Ayala, Dominique Rocha, Sebas E. Ramos-Onsins, Jordi Leno-Colorado, Mathieu Charles, Olivier Bouchez, Yoel Rodríguez-Valera, Miguel Pérez-Enciso and Yuliaxis Ramayo-Caldas
    Citation: Genetics Selection Evolution 2021 53:3
  2. Runs of homozygosity (ROH) have become the state-of-the-art method for analysis of inbreeding in animal populations. Moreover, ROH are suited to detect signatures of selection via ROH islands and are used in o...

    Authors: Wim Gorssen, Roel Meyermans, Steven Janssens and Nadine Buys
    Citation: Genetics Selection Evolution 2021 53:2
  3. Social genetic effects (SGE) are the effects of the genotype of one animal on the phenotypes of other animals within a social group. Because SGE contribute to variation in economically important traits for pig...

    Authors: Thinh Tuan Chu, Mark Henryon, Just Jensen, Birgitte Ask and Ole Fredslund Christensen
    Citation: Genetics Selection Evolution 2021 53:1
  4. Recombination is a process by which chromosomes are broken and recombine to generate new combinations of alleles, therefore playing a major role in shaping genome variation. Recombination frequencies (

    Authors: Saber Qanbari and Dörte Wittenburg
    Citation: Genetics Selection Evolution 2020 52:73

    The Correction to this article has been published in Genetics Selection Evolution 2021 53:9

  5. Genetic pressure in animal breeding is sparking the interest of breeders for selecting elite boars with higher sperm quality to optimize ejaculate doses and fertility rates. However, the molecular basis of spe...

    Authors: Marta Gòdia, Antonio Reverter, Rayner González-Prendes, Yuliaxis Ramayo-Caldas, Anna Castelló, Joan-Enric Rodríguez-Gil, Armand Sánchez and Alex Clop
    Citation: Genetics Selection Evolution 2020 52:72
  6. In spite of the implementation of control strategies in honey bee (Apis mellifera) keeping, the invasive parasitic mite Varroa destructor remains one of the main causes of colony losses in numerous countries. The...

    Authors: Matthieu Guichard, Vincent Dietemann, Markus Neuditschko and Benjamin Dainat
    Citation: Genetics Selection Evolution 2020 52:71
  7. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Anna Letko, Katie M. Minor, Vidhya Jagannathan, Franz R. Seefried, James R. Mickelson, Pieter Oliehoek and Cord Drögemüller
    Citation: Genetics Selection Evolution 2020 52:70

    The original article was published in Genetics Selection Evolution 2020 52:61

  8. Breeders and geneticists use statistical models to separate genetic and environmental effects on phenotype. A common way to separate these effects is to model a descriptor of an environment, a contemporary gro...

    Authors: Maria L. Selle, Ingelin Steinsland, Owen Powell, John M. Hickey and Gregor Gorjanc
    Citation: Genetics Selection Evolution 2020 52:69
  9. Tetradysmelia is a rare genetic disorder that is characterized by an extremely severe reduction of all limb parts distal of the scapula and pelvic girdle. We studied a Holstein Friesian backcross family with 2...

    Authors: Doreen Becker, Rosemarie Weikard, Christoph Schulze, Peter Wohlsein and Christa Kühn
    Citation: Genetics Selection Evolution 2020 52:68
  10. French beef producers suffer from the decrease in profitability of their farms mainly because of the continuous increase in feed costs. Selection for feed efficiency in beef cattle represents a relevant soluti...

    Authors: Sébastien Taussat, Mekki Boussaha, Yuliaxis Ramayo-Caldas, Pauline Martin, Eric Venot, Gonzalo Cantalapiedra-Hijar, Chris Hozé, Sébastien Fritz and Gilles Renand
    Citation: Genetics Selection Evolution 2020 52:67
  11. One objective of this study was to identify putative quantitative trait loci (QTL) that affect indicator phenotypes for growth, nitrogen, and carbon metabolism in muscle, liver, and adipose tissue, and for fee...

    Authors: Hanne Dvergedal, Thomas Nelson Harvey, Yang Jin, Jørgen Ødegård, Lars Grønvold, Simen Rød Sandve, Dag Inge Våge, Thomas Moen and Gunnar Klemetsdal
    Citation: Genetics Selection Evolution 2020 52:66
  12. Inbreeding depression refers to the decrease in mean performance due to inbreeding. Inbreeding depression is caused by an increase in homozygosity and reduced expression of (on average) favourable dominance ef...

    Authors: Harmen P. Doekes, Piter Bijma, Roel F. Veerkamp, Gerben de Jong, Yvonne C. J. Wientjes and Jack J. Windig
    Citation: Genetics Selection Evolution 2020 52:64
  13. Heat stress and fescue toxicosis caused by ingesting tall fescue infected with the endophytic fungus Epichloë coenophiala represent two of the most prevalent stressors to beef cattle in the United States and cost...

    Authors: Harly J. Durbin, Duc Lu, Helen Yampara-Iquise, Stephen P. Miller and Jared E. Decker
    Citation: Genetics Selection Evolution 2020 52:63

    The Correction to this article has been published in Genetics Selection Evolution 2021 53:31

  14. Inbreeding is caused by mating between related individuals and is associated with reduced fitness and performance (inbreeding depression). Several studies have detected heterogeneity in inbreeding depression a...

    Authors: Julia Poyato-Bonilla, Davinia I. Perdomo-González, María J. Sánchez-Guerrero, Luis Varona, Antonio Molina, Joaquim Casellas and Mercedes Valera
    Citation: Genetics Selection Evolution 2020 52:62
  15. Leonberger is a giant dog breed formed in the 1850s in Germany. Its post-World War II popularity has resulted in a current global population of ~ 30,000 dogs. The breed has predispositions to neurodegenerative...

    Authors: Anna Letko, Katie M. Minor, Vidhya Jagannathan, Franz R. Seefried, James R. Mickelson, Pieter Oliehoek and Cord Drögemüller
    Citation: Genetics Selection Evolution 2020 52:61

    The Correction to this article has been published in Genetics Selection Evolution 2020 52:70

  16. Fighting and controlling epidemic and endemic diseases represents a considerable cost to livestock production. Much research is dedicated to breeding disease resilient livestock, but this is not yet a common o...

    Authors: Pieter W. Knap and Andrea Doeschl-Wilson
    Citation: Genetics Selection Evolution 2020 52:60
  17. Genetic analysis of gene expression level is a promising approach for characterizing candidate genes that are involved in complex economic traits such as meat quality. In the present study, we conducted expres...

    Authors: Yan Liu, Xiaolei Liu, Zhiwei Zheng, Tingting Ma, Ying Liu, Huan Long, Huijun Cheng, Ming Fang, Jing Gong, Xinyun Li, Shuhong Zhao and Xuewen Xu
    Citation: Genetics Selection Evolution 2020 52:59
  18. Several studies have found that the growth rate of a pig is influenced by the genetics of the group members (indirect genetic effects). Accounting for these indirect genetic effects in a selection program may ...

    Authors: Bjarke G. Poulsen, Birgitte Ask, Hanne M. Nielsen, Tage Ostersen and Ole F. Christensen
    Citation: Genetics Selection Evolution 2020 52:58
  19. Most genomic predictions use a unique population that is split into a training and a validation set. However, genomic prediction using genetically heterogeneous training sets could provide more flexibility whe...

    Authors: Amir Aliakbari, Emilie Delpuech, Yann Labrune, Juliette Riquet and Hélène Gilbert
    Citation: Genetics Selection Evolution 2020 52:57
  20. Over the last years, genome-wide association studies (GWAS) based on imputed whole-genome sequences (WGS) have been used to detect quantitative trait loci (QTL) and highlight candidate genes for important trai...

    Authors: Thierry Tribout, Pascal Croiseau, Rachel Lefebvre, Anne Barbat, Mekki Boussaha, Sébastien Fritz, Didier Boichard, Chris Hoze and Marie-Pierre Sanchez
    Citation: Genetics Selection Evolution 2020 52:55
  21. In this study, we assessed the accuracy of genomic prediction for carcass weight (CWT), marbling score (MS), eye muscle area (EMA) and back fat thickness (BFT) in Hanwoo cattle when using genomic best linear u...

    Authors: Sara de las Heras-Saldana, Bryan Irvine Lopez, Nasir Moghaddar, Woncheoul Park, Jong-eun Park, Ki Y. Chung, Dajeong Lim, Seung H. Lee, Donghyun Shin and Julius H. J. van der Werf
    Citation: Genetics Selection Evolution 2020 52:54
  22. Traits recorded on animals that are raised in groups can be analysed with the social effects animal model (SAM). For multiple traits, this model specifies the genetic correlation structure more completely than...

    Authors: William Herrera-Cáceres and Juan Pablo Sánchez
    Citation: Genetics Selection Evolution 2020 52:53
  23. Thousands of years of natural and artificial selection have resulted in indigenous cattle breeds that are well-adapted to the environmental challenges of their local habitat and thereby are considered as valua...

    Authors: Seyed Mohammad Ghoreishifar, Susanne Eriksson, Anna M. Johansson, Majid Khansefid, Sima Moghaddaszadeh-Ahrabi, Nahid Parna, Pourya Davoudi and Arash Javanmard
    Citation: Genetics Selection Evolution 2020 52:52
  24. Temperament traits are of high importance across species. In humans, temperament or personality traits correlate with psychological traits and psychiatric disorders. In cattle, they impact animal welfare, prod...

    Authors: Roy Costilla, Kathryn E. Kemper, Enda M. Byrne, Laercio R. Porto-Neto, Roberto Carvalheiro, Deirdre C. Purfield, Jennifer L. Doyle, Donagh P. Berry, Stephen S. Moore, Naomi R. Wray and Ben J. Hayes
    Citation: Genetics Selection Evolution 2020 52:51
  25. Edwardsiella tarda causes acute symptoms with ascites in Japanese flounder (Paralichthys olivaceus) and is a major problem for China’s aquaculture sector. Genomic selection (GS) has been widely adopted in breedin...

    Authors: Sheng Lu, Yang Liu, Xijiang Yu, Yangzhen Li, Yingming Yang, Min Wei, Qian Zhou, Jie Wang, Yingping Zhang, Weiwei Zheng and Songlin Chen
    Citation: Genetics Selection Evolution 2020 52:49
  26. Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction. However, until now, studies on integrating such SNPs us...

    Authors: Aoxing Liu, Mogens Sandø Lund, Didier Boichard, Emre Karaman, Bernt Guldbrandtsen, Sebastien Fritz, Gert Pedersen Aamand, Ulrik Sander Nielsen, Goutam Sahana, Yachun Wang and Guosheng Su
    Citation: Genetics Selection Evolution 2020 52:48
  27. Bias has been reported in genetic or genomic evaluations of several species. Common biases are systematic differences between averages of estimated and true breeding values, and their over- or under-dispersion...

    Authors: Fernando L. Macedo, Ole F. Christensen, Jean-Michel Astruc, Ignacio Aguilar, Yutaka Masuda and Andrés Legarra
    Citation: Genetics Selection Evolution 2020 52:47
  28. Twenty-five phenotypes were measured as indicators of bull fertility (1099 Brahman and 1719 Tropical Composite bulls). Measurements included sperm morphology, scrotal circumference, and sperm chromatin phenoty...

    Authors: Marina R. S. Fortes, Laercio R. Porto-Neto, Nana Satake, Loan T. Nguyen, Ana Claudia Freitas, Thaise P. Melo, Daiane Cristina Becker Scalez, Ben Hayes, Fernanda S. S. Raidan, Antonio Reverter and Gry B. Boe-Hansen
    Citation: Genetics Selection Evolution 2020 52:46
  29. Competition is a common social interaction among shrimp and depending on its intensity, it can affect heritable variation and response to selection. Little is known about the variance of indirect genetic effec...

    Authors: Sheng Luan, Guangfeng Qiang, Baoxiang Cao, Kun Luo, Xianhong Meng, Baolong Chen and Jie Kong
    Citation: Genetics Selection Evolution 2020 52:45
  30. In this work, our aim was to generate a map of the copy number variations (CNV) segregating in a population of Murciano-Granadina goats, the most important dairy breed in Spain, and to ascertain the main biolo...

    Authors: Dailu Guan, Amparo Martínez, Anna Castelló, Vincenzo Landi, María Gracia Luigi-Sierra, Javier Fernández-Álvarez, Betlem Cabrera, Juan Vicente Delgado, Xavier Such, Jordi Jordana and Marcel Amills
    Citation: Genetics Selection Evolution 2020 52:44
  31. The indigenous cattle populations from Greece and Cyprus have decreased to small numbers and are currently at risk of extinction due to socio-economic reasons, geographic isolation and crossbreeding with comme...

    Authors: Dimitris Papachristou, Panagiota Koutsouli, George P. Laliotis, Elisabeth Kunz, Maulik Upadhyay, Doris Seichter, Ingolf Russ, Bunevski Gjoko, Nikolaos Kostaras, Iosif Bizelis and Ivica Medugorac
    Citation: Genetics Selection Evolution 2020 52:43
  32. Preselection of candidates, hereafter referred to as preselection, is a common practice in breeding programs. Preselection can cause bias and accuracy loss in subsequent pedigree-based best linear unbiased pre...

    Authors: Ibrahim Jibrila, Jan ten Napel, Jeremie Vandenplas, Roel F. Veerkamp and Mario P. L. Calus
    Citation: Genetics Selection Evolution 2020 52:42
  33. The objectives of this study were to evaluate genomic and microbial predictions of phenotypes for meat quality and carcass traits in swine, and to evaluate the contribution of host-microbiome interactions to t...

    Authors: Piush Khanal, Christian Maltecca, Clint Schwab, Justin Fix, Matteo Bergamaschi and Francesco Tiezzi
    Citation: Genetics Selection Evolution 2020 52:41
  34. Assessment of genetic diversity and population structure provides important control metrics to avoid genetic erosion, inbreeding depression and crossbreeding between exotic and locally-adapted cattle breeds si...

    Authors: Gabriele Senczuk, Salvatore Mastrangelo, Elena Ciani, Luca Battaglini, Filippo Cendron, Roberta Ciampolini, Paola Crepaldi, Roberto Mantovani, Graziella Bongioni, Giulio Pagnacco, Baldassare Portolano, Attilio Rossoni, Fabio Pilla and Martino Cassandro
    Citation: Genetics Selection Evolution 2020 52:40
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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

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

  45. 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
  46. 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

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