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  1. The honey bee reference genome, HAv3.1, was produced from a commercial line sample that was thought to have a largely dominant Apis mellifera ligustica genetic background. Apis mellifera mellifera, often referred...

    Authors: Sonia E. Eynard, Christophe Klopp, Kamila Canale-Tabet, William Marande, Céline Vandecasteele, Céline Roques, Cécile Donnadieu, Quentin Boone, Bertrand Servin and Alain Vignal
    Citation: Genetics Selection Evolution 2024 56:51
  2. Genome sequence variants affecting complex traits (quantitative trait loci, QTL) are enriched in functional regions of the genome, such as those marked by certain histone modifications. These variants are beli...

    Authors: Mohammad Ghoreishifar, Amanda J. Chamberlain, Ruidong Xiang, Claire P. Prowse-Wilkins, Thomas J. Lopdell, Mathew D. Littlejohn, Jennie E. Pryce and Michael E. Goddard
    Citation: Genetics Selection Evolution 2024 56:50
  3. Multi-population genomic prediction can rapidly expand the size of the reference population and improve genomic prediction ability. Machine learning (ML) algorithms have shown advantages in single-population g...

    Authors: Xue Wang, Zipeng Zhang, Hehe Du, Christina Pfeiffer, Gábor Mészáros and Xiangdong Ding
    Citation: Genetics Selection Evolution 2024 56:49
  4. Previous research showed that deviations in longitudinal data are heritable and can be used as a proxy for pigs’ general resilience. However, only a few studies investigated the relationship between these resi...

    Authors: Wim Gorssen, Carmen Winters, Roel Meyermans, Léa Chapard, Katrijn Hooyberghs, Jürgen Depuydt, Steven Janssens, Han Mulder and Nadine Buys
    Citation: Genetics Selection Evolution 2024 56:48
  5. There are 13 known chicken blood systems, which were originally detected by agglutination of red blood cells by specific alloantisera. The genomic region or specific gene responsible has been identified for fo...

    Authors: Janet E. Fulton, Amy M. McCarron, Ashlee R. Lund, Wioleta Drobik-Czwarno, Abigail Mullen, Anna Wolc, Joanna Szadkowska, Carl J. Schmidt and Robert L. Taylor Jr
    Citation: Genetics Selection Evolution 2024 56:47
  6. Linear models that are commonly used to predict breeding values in livestock species consider paternal influence solely as a genetic effect. However, emerging evidence in several species suggests the potential...

    Authors: Corentin Fouéré, Chris Hozé, Florian Besnard, Mekki Boussaha, Didier Boichard and Marie-Pierre Sanchez
    Citation: Genetics Selection Evolution 2024 56:46
  7. Body conformation, including withers height, is a major selection criterion in horse breeding and is associated with other important traits, such as health and performance. However, little is known about the g...

    Authors: Paula Reich, Sandra Möller, Kathrin F. Stock, Wietje Nolte, Mario von Depka Prondzinski, Reinhard Reents, Ernst Kalm, Christa Kühn, Georg Thaller, Clemens Falker-Gieske and Jens Tetens
    Citation: Genetics Selection Evolution 2024 56:45
  8. Longitudinal records of automatically-recorded vaginal temperature (TV) could be a key source of data for deriving novel indicators of climatic resilience (CR) for breeding more resilient pigs, especially during ...

    Authors: Hui Wen, Jay S. Johnson, Leonardo S. Gloria, Andre C. Araujo, Jacob M. Maskal, Sharlene Olivette Hartman, Felipe E. de Carvalho, Artur Oliveira Rocha, Yijian Huang, Francesco Tiezzi, Christian Maltecca, Allan P. Schinckel and Luiz F. Brito
    Citation: Genetics Selection Evolution 2024 56:44
  9. Limitations of the concept of identity by descent in the presence of stratification within a breeding population may lead to an incomplete formulation of the conventional numerator relationship matrix (

    Authors: Christine Anglhuber, Christian Edel, Eduardo C. G. Pimentel, Reiner Emmerling, Kay-Uwe Götz and Georg Thaller
    Citation: Genetics Selection Evolution 2024 56:43
  10. Female fertility is an important trait in dairy cattle. Identifying putative causal variants associated with fertility may help to improve the accuracy of genomic prediction of fertility. Combining expression ...

    Authors: Irene van den Berg, Amanda J. Chamberlain, Iona M. MacLeod, Tuan V. Nguyen, Mike E. Goddard, Ruidong Xiang, Brett Mason, Susanne Meier, Claire V. C. Phyn, Chris R. Burke and Jennie E. Pryce
    Citation: Genetics Selection Evolution 2024 56:42
  11. Breeding programs are judged by the genetic level of animals that are used to disseminate genetic progress. These animals are typically the best ones of the population. To maximise the genetic level of very go...

    Authors: Tobias A. M. Niehoff, Jan ten Napel, Piter Bijma, Torsten Pook, Yvonne C. J. Wientjes, Bernadett Hegedűs and Mario P. L. Calus
    Citation: Genetics Selection Evolution 2024 56:41
  12. Livestock populations are under constant selective pressure for higher productivity levels for different selective purposes. This pressure results in the selection of animals with unique adaptive and productio...

    Authors: Pablo A. S. Fonseca, Aroa Suárez-Vega, Juan J. Arranz and Beatriz Gutiérrez-Gil
    Citation: Genetics Selection Evolution 2024 56:40
  13. Nine male and eight female calves born to a Normande artificial insemination bull named “Ly” were referred to the French National Observatory of Bovine Abnormalities for multiple fractures, shortened gestation...

    Authors: Julien Corbeau, Cécile Grohs, Jeanlin Jourdain, Mekki Boussaha, Florian Besnard, Anne Barbat, Vincent Plassard, Julie Rivière, Christophe Hamelin, Jeremy Mortier, Didier Boichard, Raphaël Guatteo and Aurélien Capitan
    Citation: Genetics Selection Evolution 2024 56:39
  14. The accuracy of genomic prediction is partly determined by the size of the reference population. In Atlantic salmon breeding programs, four parallel populations often exist, thus offering the opportunity to in...

    Authors: Afees A. Ajasa, Solomon A. Boison, Hans M. Gjøen and Marie Lillehammer
    Citation: Genetics Selection Evolution 2024 56:38
  15. The theory of “metafounders” proposes a unified framework for relationships across base populations within breeds (e.g. unknown parent groups), and base populations across breeds (crosses) together with a sens...

    Authors: Andres Legarra, Matias Bermann, Quanshun Mei and Ole F. Christensen
    Citation: Genetics Selection Evolution 2024 56:35
  16. Metafounders are a useful concept to characterize relationships within and across populations, and to help genetic evaluations because they help modelling the means and variances of unknown base population ani...

    Authors: Andres Legarra, Matias Bermann, Quanshun Mei and Ole F. Christensen
    Citation: Genetics Selection Evolution 2024 56:34
  17. Recursive models are a category of structural equation models that propose a causal relationship between traits. These models are more parameterized than multiple trait models, and they require imposing restri...

    Authors: Luis Varona, David López-Carbonell, Houssemeddine Srihi, Carlos Hervás-Rivero, Óscar González-Recio and Juan Altarriba
    Citation: Genetics Selection Evolution 2024 56:33
  18. Rendena is a dual-purpose cattle breed, which is primarily found in the Italian Alps and the eastern areas of the Po valley, and recognized for its longevity, fertility, disease resistance and adaptability to ...

    Authors: Elisa Somenzi, Erika Partel, Mario Barbato, Ana María Chero Osorio, Licia Colli, Niccolò Franceschi, Roberto Mantovani, Fabio Pilla, Matteo Komjanc, Alessandro Achilli, Heidi Christine Hauffe and Paolo Ajmone Marsan
    Citation: Genetics Selection Evolution 2024 56:32
  19. Metabolic disturbances adversely impact productive and reproductive performance of dairy cattle due to changes in endocrine status and immune function, which increase the risk of disease. This may occur in the...

    Authors: Lucio F. M. Mota, Diana Giannuzzi, Sara Pegolo, Enrico Sturaro, Daniel Gianola, Riccardo Negrini, Erminio Trevisi, Paolo Ajmone Marsan and Alessio Cecchinato
    Citation: Genetics Selection Evolution 2024 56:31
  20. Breeding queens may be mated with drones that are produced by a single drone-producing queen (DPQ), or a group of sister-DPQs, but often only the dam of the DPQ(s) is reported in the pedigree. Furthermore, dat...

    Authors: Tristan Kistler, Evert W. Brascamp, Benjamin Basso, Piter Bijma and Florence Phocas
    Citation: Genetics Selection Evolution 2024 56:30
  21. With the introduction of digital phenotyping and high-throughput data, traits that were previously difficult or impossible to measure directly have become easily accessible, offering the opportunity to enhance...

    Authors: Mary Kate Hollifield, Ching-Yi Chen, Eric Psota, Justin Holl, Daniela Lourenco and Ignacy Misztal
    Citation: Genetics Selection Evolution 2024 56:29
  22. Enhancer RNAs (eRNAs) play a crucial role in transcriptional regulation. While significant progress has been made in understanding epigenetic regulation mediated by eRNAs, research on the construction of eRNA-...

    Authors: Chao Wang, Choulin Chen, Bowen Lei, Shenghua Qin, Yuanyuan Zhang, Kui Li, Song Zhang and Yuwen Liu
    Citation: Genetics Selection Evolution 2024 56:28
  23. Claw diseases and mastitis represent the most important health issues in dairy cattle with a frequently mentioned connection to milk production. Although many studies have aimed at investigating this connectio...

    Authors: Helen Schneider, Valentin Haas, Ana-Marija Krizanac, Clemens Falker-Gieske, Johannes Heise, Jens Tetens, Georg Thaller and Jörn Bennewitz
    Citation: Genetics Selection Evolution 2024 56:27
  24. Chinese indigenous sheep are valuable resources with unique features and characteristics. They are distributed across regions with different climates in mainland China; however, few reports have analyzed the e...

    Authors: Meilin Jin, Huihua Wang, Gang Liu, Jian Lu, Zehu Yuan, Taotao Li, Engming Liu, Zengkui Lu, Lixin Du and Caihong Wei
    Citation: Genetics Selection Evolution 2024 56:26
  25. Longevity and resilience are two fundamental traits for more sustainable livestock production. These traits are closely related, as resilient animals tend to have longer lifespans. An interesting criterion for...

    Authors: Iliyass Biada, Noelia Ibáñez-Escriche, Agustín Blasco, Cristina Casto-Rebollo and Maria A. Santacreu
    Citation: Genetics Selection Evolution 2024 56:25
  26. Gene flow is crucial for enhancing economic traits of livestock. In China, breeders have used hybridization strategies for decades to improve livestock performance. Here, we performed whole-genome sequencing o...

    Authors: Ruifei Yang, Siqi Jin, Suyun Fang, Dawei Yan, Hao Zhang, Jingru Nie, Jinqiao Liu, Minjuan Lv, Bo Zhang and Xinxing Dong
    Citation: Genetics Selection Evolution 2024 56:24
  27. In the current context of climate change, livestock production faces many challenges to improve the sustainability of systems. Dairy farming, in particular, must find ways to select animals that will be able t...

    Authors: Aurélie Vinet, Sophie Mattalia, Roxane Vallée, Christine Bertrand, Anne Barbat, Julie Promp, Beatriz C. D. Cuyabano and Didier Boichard
    Citation: Genetics Selection Evolution 2024 56:23
  28. Bovine lactoferrin (Lf) is an iron absorbing whey protein with antibacterial, antiviral, and antifungal activity. Lactoferrin is economically valuable and has an extremely variable concentration in milk, partl...

    Authors: Thomas J. Lopdell, Alexander J. Trevarton, Janelle Moody, Claire Prowse-Wilkins, Sarah Knowles, Kathryn Tiplady, Amanda J. Chamberlain, Michael E. Goddard, Richard J. Spelman, Klaus Lehnert, Russell G. Snell, Stephen R. Davis and Mathew D. Littlejohn
    Citation: Genetics Selection Evolution 2024 56:22
  29. There is a burgeoning interest in using insects as a sustainable source of food and feed, particularly by capitalising on various waste materials and by-products that are typically considered of low value. Enh...

    Authors: Laura Skrubbeltrang Hansen, Stine Frey Laursen, Simon Bahrndorff, Morten Kargo, Jesper Givskov Sørensen, Goutam Sahana, Hanne Marie Nielsen and Torsten Nygaard Kristensen
    Citation: Genetics Selection Evolution 2024 56:21
  30. Resilience is the capacity of an animal to be minimally affected by disturbances or to rapidly return to its initial state before exposure to a disturbance. Resilient livestock are desired because of their imp...

    Authors: Tom V. L. Berghof, Nicolas Bedere, Katrijn Peeters, Marieke Poppe, Jeroen Visscher and Han A. Mulder
    Citation: Genetics Selection Evolution 2024 56:20
  31. Growth rate is an important component of feed conversion efficiency in cattle and varies across the different stages of the finishing period. The metabolic effect of the rumen microbiome is essential for cattl...

    Authors: Marina Martínez-Álvaro, Jennifer Mattock, Óscar González-Recio, Alejandro Saborío-Montero, Ziqing Weng, Joana Lima, Carol-Anne Duthie, Richard Dewhurst, Matthew A. Cleveland, Mick Watson and Rainer Roehe
    Citation: Genetics Selection Evolution 2024 56:19
  32. Validation by data truncation is a common practice in genetic evaluations because of the interest in predicting the genetic merit of a set of young selection candidates. Two of the most used validation methods...

    Authors: Matias Bermann, Andres Legarra, Alejandra Alvarez Munera, Ignacy Misztal and Daniela Lourenco
    Citation: Genetics Selection Evolution 2024 56:18
  33. Since the very beginning of genomic selection, researchers investigated methods that improved upon SNP-BLUP (single nucleotide polymorphism best linear unbiased prediction). SNP-BLUP gives equal weight to all ...

    Authors: Theo Meuwissen, Leiv Sigbjorn Eikje and Arne B. Gjuvsland
    Citation: Genetics Selection Evolution 2024 56:17
  34. Recessive deleterious variants are known to segregate in livestock populations, as in humans, and some may be lethal in the homozygous state.

    Authors: Maxime Ben Braiek, Carole Moreno-Romieux, Céline André, Jean-Michel Astruc, Philippe Bardou, Arnaud Bordes, Frédéric Debat, Francis Fidelle, Itsasne Granado-Tajada, Chris Hozé, Florence Plisson-Petit, François Rivemale, Julien Sarry, Némuel Tadi, Florent Woloszyn and Stéphane Fabre
    Citation: Genetics Selection Evolution 2024 56:16
  35. Genetic merit, or breeding values as referred to in livestock and crop breeding programs, is one of the keys to the successful selection of animals in commercial farming systems. The developments in statistica...

    Authors: Beatriz C. D. Cuyabano, Didier Boichard and Cedric Gondro
    Citation: Genetics Selection Evolution 2024 56:15
  36. Authors: Jesús Valdés-Hernández, Josep M. Folch, Daniel Crespo-Piazuelo, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló, Armand Sánchez and Yuliaxis Ramayo-Caldas
    Citation: Genetics Selection Evolution 2024 56:14

    The original article was published in Genetics Selection Evolution 2024 56:12

  37. Evolutionary processes leave footprints along the genome over time. Highly homozygous regions may correspond to positive selection of favorable alleles, while maintenance of heterozygous regions may be due to ...

    Authors: Katy Paul, Gwendal Restoux and Florence Phocas
    Citation: Genetics Selection Evolution 2024 56:13
  38. Intramuscular fat (IMF) content and its fatty acid (FA) composition are typically controlled by several genes, each with a small effect. In the current study, to pinpoint candidate genes and putative regulator...

    Authors: Jesús Valdés-Hernández, Josep M. Folch, Daniel Crespo-Piazuelo, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló, Armand Sánchez and Yuliaxis Ramayo-Caldas
    Citation: Genetics Selection Evolution 2024 56:12

    The Correction to this article has been published in Genetics Selection Evolution 2024 56:14

  39. The study of ancestral alleles provides insights into the evolutionary history, selection, and genetic structures of a population. In cattle, ancestral alleles are widely used in genetic analyses, including th...

    Authors: Jigme Dorji, Antonio Reverter, Pamela A. Alexandre, Amanda J. Chamberlain, Christy J. Vander-Jagt, James Kijas and Laercio R. Porto-Neto
    Citation: Genetics Selection Evolution 2024 56:11
  40. Cattle populations harbor generally high inbreeding levels that can lead to inbreeding depression (ID). Here, we study ID with different estimators of the inbreeding coefficient F, evaluate their sensitivity to u...

    Authors: Maulana Mughitz Naji, José Luis Gualdrón Duarte, Natalia Soledad Forneris and Tom Druet
    Citation: Genetics Selection Evolution 2024 56:10
  41. Improving pigs’ ability to digest diets with an increased dietary fiber content is a lever to improve feed efficiency and limit feed costs in pig production. The aim of this study was to determine whether info...

    Authors: Vanille Déru, Francesco Tiezzi, Céline Carillier-Jacquin, Benoit Blanchet, Laurent Cauquil, Olivier Zemb, Alban Bouquet, Christian Maltecca and Hélène Gilbert
    Citation: Genetics Selection Evolution 2024 56:8
  42. In spite of being controversial and raising ethical concerns, the application of gene editing is more likely to be accepted when it contributes to improving animal welfare. One of the animal welfare and ethica...

    Authors: Edward Y. S. Chuang, Robin Wellmann, Franck L. B. Meijboom, Jens Tetens and Jörn Bennewitz
    Citation: Genetics Selection Evolution 2024 56:7
  43. Low-pass whole-genome sequencing and imputation offer significant cost savings, enabling substantial increases in sample size and statistical power. This approach is particularly promising in livestock breedin...

    Authors: David Wragg, Wengang Zhang, Sarah Peterson, Murthy Yerramilli, Richard Mellanby, Jeffrey J. Schoenebeck and Dylan N. Clements
    Citation: Genetics Selection Evolution 2024 56:6
  44. Paratuberculosis is a contagious and incurable disease that is caused by Mycobacterium avium subsp. paratuberculosis (MAP) with significant negative effects on animal welfare and farm profitability. Based on a la...

    Authors: Mario Graziano Usai, Sara Casu, Tiziana Sechi, Sotero L. Salaris, Sabrina Miari, Giuliana Mulas, Maria Giovanna Cancedda, Ciriaco Ligios and Antonello Carta
    Citation: Genetics Selection Evolution 2024 56:5
  45. There can be variation between animals in how stable their genetic merit is across different environments due to genotype-by-environment (G×E) interactions. This variation could be used in breeding programs to...

    Authors: Dominic L. Waters, Sam A. Clark, Daniel J. Brown, Samuel F. Walkom and Julius H. J. van der Werf
    Citation: Genetics Selection Evolution 2024 56:4

    The Correction to this article has been published in Genetics Selection Evolution 2024 56:9

  46. The natural abundance of nitrogen (δ15N) and carbon (δ13C) isotopes in animal tissues are used to estimate an animal’s efficiency in nitrogen utilization, and their feed conversion efficiency, especially in tropi...

    Authors: Morteza Moradi, Christie L. Warburton, Laercio Ribeiro Porto-Neto and Luis F. P. Silva
    Citation: Genetics Selection Evolution 2024 56:3
  47. The presence of goats in the Canary Islands dates back to the late 1st millennium BC, which coincides with the colonization by the Amazigh settlers. However, the exact geographic origin of Canarian goats is un...

    Authors: Gabriele Senczuk, Martina Macrì, Marika Di Civita, Salvatore Mastrangelo, Maria del Rosario Fresno, Juan Capote, Fabio Pilla, Juan Vicente Delgado, Marcel Amills and Amparo Martínez
    Citation: Genetics Selection Evolution 2024 56:2

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