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  1. The domestication of goat (Capra hircus) started 11,000 years ago in the fertile crescent. Breed formation in the nineteenth century, establishment of herd books, and selection for specific traits resulted in 10 ...

    Authors: Heidi Signer-Hasler, Jan Henkel, Erika Bangerter, Zafer Bulut, Cord Drögemüller, Tosso Leeb and Christine Flury
    Citation: Genetics Selection Evolution 2022 54:6
  2. Deleterious recessive conditions have been primarily studied in the context of Mendelian diseases. Recently, several deleterious recessive mutations with large effects were discovered via non-additive genome-w...

    Authors: Edwardo G. M. Reynolds, Thomas Lopdell, Yu Wang, Kathryn M. Tiplady, Chad S. Harland, Thomas J. J. Johnson, Catherine Neeley, Katie Carnie, Richard G. Sherlock, Christine Couldrey, Stephen R. Davis, Bevin L. Harris, Richard J. Spelman, Dorian J. Garrick and Mathew D. Littlejohn
    Citation: Genetics Selection Evolution 2022 54:5
  3. Warmblood fragile foal syndrome (WFFS) is a monogenetic defect caused by a recessive lethal missense point mutation in the procollagen‐lysine, 2‐oxoglutarate 5‐dioxygenase 1 gene (PLOD1, c.2032G>A). The majority ...

    Authors: Michela Ablondi, Martin Johnsson, Susanne Eriksson, Alberto Sabbioni, Åsa Gelinder Viklund and Sofia Mikko
    Citation: Genetics Selection Evolution 2022 54:4
  4. Domestication of the rabbit (Oryctolagus cuniculus) has led to a multi-purpose species that includes many breeds and lines with a broad phenotypic diversity, mainly for external traits (e.g. coat colours and patt...

    Authors: Mohamad Ballan, Samuele Bovo, Giuseppina Schiavo, Michele Schiavitto, Riccardo Negrini and Luca Fontanesi
    Citation: Genetics Selection Evolution 2022 54:3
  5. Gastroinestinal nematodes (GIN) are one of the major health problem in grazing sheep. Although genetic variability of the resistance to GIN has been documented, traditional selection is hampered by the difficu...

    Authors: Sara Casu, Mario Graziano Usai, Tiziana Sechi, Sotero L. Salaris, Sabrina Miari, Giuliana Mulas, Claudia Tamponi, Antonio Varcasia, Antonio Scala and Antonello Carta
    Citation: Genetics Selection Evolution 2022 54:2
  6. The genetic background of trait variability has captured the interest of ecologists and animal breeders because the genes that control it could be involved in buffering various environmental effects. Phenotypi...

    Authors: Ewa Sell-Kubiak, Egbert F. Knol and Marcos Lopes
    Citation: Genetics Selection Evolution 2022 54:1
  7. As a major economic trait in poultry, egg production efficiency attracts widespread interest in breeding and production. However, limited information is available about the underlying genetic architecture of e...

    Authors: Hehe Liu, Lei Wang, Zhanbao Guo, Qian Xu, Wenlei Fan, Yaxi Xu, Jian Hu, Yunsheng Zhang, Jing Tang, Ming Xie, Zhengkui Zhou and Shuisheng Hou
    Citation: Genetics Selection Evolution 2021 53:98
  8. Reference genomes are essential in the analysis of genomic data. As the cost of sequencing decreases, multiple reference genomes are being produced within species to alleviate problems such as low mapping accu...

    Authors: Maulana M. Naji, Yuri T. Utsunomiya, Johann Sölkner, Benjamin D. Rosen and Gábor Mészáros
    Citation: Genetics Selection Evolution 2021 53:96
  9. This study was carried out on the two Braunvieh populations reared in Switzerland, the dairy Brown Swiss (BS) and the dual-purpose Original Braunvieh (OB). We performed a genome-wide analysis of array data of ...

    Authors: Irene M. Häfliger, Franz R. Seefried, Mirjam Spengeler and Cord Drögemüller
    Citation: Genetics Selection Evolution 2021 53:95
  10. Carcass length is very important for body size and meat production for swine, thus understanding the genetic mechanisms that underly this trait is of great significance in genetic improvement programs for pigs...

    Authors: Jing Li, Song Peng, Liepeng Zhong, Lisheng Zhou, Guorong Yan, Shijun Xiao, Junwu Ma and Lusheng Huang
    Citation: Genetics Selection Evolution 2021 53:94
  11. Genotype-by-environment interactions for a trait can be modeled using multiple-trait, i.e. character-state, models, that consider the phenotype as a different trait in each environment, or using reaction norm ...

    Authors: Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2021 53:93
  12. Climate and farming systems, several of which are considered as low-input agricultural systems, vary between goat populations from Northern and Southern Italy and have led to different management practices. Th...

    Authors: Matteo Cortellari, Arianna Bionda, Alessio Negro, Stefano Frattini, Salvatore Mastrangelo, Elisa Somenzi, Emiliano Lasagna, Francesca M. Sarti, Elena Ciani, Roberta Ciampolini, Donata Marletta, Luigi Liotta, Paolo Ajmone Marsan, Fabio Pilla, Licia Colli, Andrea Talenti…
    Citation: Genetics Selection Evolution 2021 53:92
  13. The possibility of using antibody response (S/P ratio) to PRRSV vaccination measured in crossbred commercial gilts as a genetic indicator for reproductive performance in vaccinated crossbred sows has motivated...

    Authors: Leticia P. Sanglard, Yijian Huang, Kent A. Gray, Daniel C. L. Linhares, Jack C. M. Dekkers, Megan C. Niederwerder, Rohan L. Fernando and Nick V. L. Serão
    Citation: Genetics Selection Evolution 2021 53:91
  14. The management of farm animal genetic resources and the adaptation of animals to climate change will probably have major effects on the long-term sustainability of the livestock sector. Genomic data harbour us...

    Authors: Valentina Tsartsianidou, Enrique Sánchez-Molano, Vanessa Varvara Kapsona, Zoitsa Basdagianni, Dimitrios Chatziplis, Georgios Arsenos, Alexandros Triantafyllidis and Georgios Banos
    Citation: Genetics Selection Evolution 2021 53:90
  15. Understanding whether genomic selection has been effective in livestock and when the results of genomic selection became visible are essential questions which we have addressed in this paper. Three criteria we...

    Authors: Rostam Abdollahi-Arpanahi, Daniela Lourenco, Andres Legarra and Ignacy Misztal
    Citation: Genetics Selection Evolution 2021 53:89
  16. The quality of colostrum administered to calves is based on its concentration in immunoglobulins G (IgG, g/L). Immunoglobulins A (IgA) and M (IgM) are also present but at a lower level. The gold standard refer...

    Authors: Angela Costa, Marco Franzoi, Giulio Visentin, Arianna Goi, Massimo De Marchi and Mauro Penasa
    Citation: Genetics Selection Evolution 2021 53:87
  17. Since their domestication 10,500 years ago, goat populations with distinctive genetic backgrounds have adapted to a broad variety of environments and breeding conditions. The VarGoats project is an internation...

    Authors: Laure Denoyelle, Estelle Talouarn, Philippe Bardou, Licia Colli, Adriana Alberti, Coralie Danchin, Marcello Del Corvo, Stéfan Engelen, Céline Orvain, Isabelle Palhière, Rachel Rupp, Julien Sarry, Mazdak Salavati, Marcel Amills, Emily Clark, Paola Crepaldi…
    Citation: Genetics Selection Evolution 2021 53:86
  18. The high fecundity of fish species allows intense selection to be practised and therefore leads to fast genetic gains. Based on this, numerous selective breeding programmes have been started in Europe in the l...

    Authors: María Saura, Armando Caballero, Enrique Santiago, Almudena Fernández, Elisabeth Morales-González, Jesús Fernández, Santiago Cabaleiro, Adrián Millán, Paulino Martínez, Christos Palaiokostas, Martin Kocour, Muhammad L. Aslam, Ross D. Houston, Martin Prchal, Luca Bargelloni, Kostas Tzokas…
    Citation: Genetics Selection Evolution 2021 53:85
  19. In dairy cattle, genomic selection has been implemented successfully for purebred populations, but, to date, genomic estimated breeding values (GEBV) for crossbred cows are rarely available, although they are ...

    Authors: Jón H. Eiríksson, Emre Karaman, Guosheng Su and Ole F. Christensen
    Citation: Genetics Selection Evolution 2021 53:84
  20. Based on the relatively homogeneous origin of the sheep breeds in Morocco that originate mainly from Iberia, it is highly relevant to address the question of how these very diverse sheep populations differenti...

    Authors: Asmae Kandoussi, Bouabid Badaoui, Ismaïl Boujenane, Mohammed Piro and Daniel Petit
    Citation: Genetics Selection Evolution 2021 53:83
  21. Growth traits are of great importance for poultry breeding and production and have been the topic of extensive investigation, with many quantitative trait loci (QTL) detected. However, due to their complex gen...

    Authors: Ruifei Yang, Zhenqiang Xu, Qi Wang, Di Zhu, Cheng Bian, Jiangli Ren, Zhuolin Huang, Xiaoning Zhu, Zhixin Tian, Yuzhe Wang, Ziqin Jiang, Yiqiang Zhao, Dexiang Zhang, Ning Li and Xiaoxiang Hu
    Citation: Genetics Selection Evolution 2021 53:82
  22. The single-step genomic best linear unbiased prediction (SSGBLUP) method is a popular approach for genetic evaluation with high-density genotype data. To solve the problem that pedigree and genomic relationshi...

    Authors: Chuanke Fu, Tage Ostersen, Ole F. Christensen and Tao Xiang
    Citation: Genetics Selection Evolution 2021 53:79
  23. Genomic selection using single nucleotide polymorphism (SNP) markers has been widely used for genetic improvement of livestock, but most current methods of genomic selection are based on SNP models. In this st...

    Authors: Cheng Bian, Dzianis Prakapenka, Cheng Tan, Ruifei Yang, Di Zhu, Xiaoli Guo, Dewu Liu, Gengyuan Cai, Yalan Li, Zuoxiang Liang, Zhenfang Wu, Yang Da and Xiaoxiang Hu
    Citation: Genetics Selection Evolution 2021 53:78
  24. 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

  25. 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
  26. 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
  27. 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
  28. 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
  29. 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

  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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

  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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

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