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  1. Genome-wide association studies (GWAS) are an effective way to explore genotype–phenotype associations in humans, animals, and plants. Various GWAS methods have been developed based on different genetic or sta...

    Authors: Guang-Liang Zhou, Fang-Jun Xu, Jia-Kun Qiao, Zhao-Xuan Che, Tao Xiang, Xiao-Lei Liu, Xin-Yun Li, Shu-Hong Zhao and Meng-Jin Zhu
    Citation: Genetics Selection Evolution 2023 55:46
  2. The breeding value of a crossbred individual can be expressed as the sum of the contributions from each of the contributing pure breeds. In theory, the breeding value should account for segregation between bre...

    Authors: Jón H. Eiríksson, Guosheng Su, Ismo Strandén and Ole F. Christensen
    Citation: Genetics Selection Evolution 2023 55:45
  3. Bone damage has welfare and economic impacts on modern commercial poultry and is known as one of the major challenges in the poultry industry. Bone damage is particularly common in laying hens and is probably ...

    Authors: Moh Sallam, Peter W. Wilson, Björn Andersson, Matthias Schmutz, Cristina Benavides, Nazaret Dominguez‑Gasca, Estefania Sanchez‑Rodriguez, Alejandro B. Rodriguez‑Navarro, Ian C. Dunn, Dirk‑Jan De Koning and Martin Johnsson
    Citation: Genetics Selection Evolution 2023 55:44
  4. Currently, meat cut traits are integrated in pig breeding objectives to gain extra profit. However, little is known about the heritability of meat cut proportions (MCP) and their correlations with other traits...

    Authors: Lei Xie, Jiangtao Qin, Tianxiong Yao, Xi Tang, Dengshuai Cui, Liqing Chen, Lin Rao, Shijun Xiao, Zhiyan Zhang and Lusheng Huang
    Citation: Genetics Selection Evolution 2023 55:43
  5. Genome-wide association studies (GWAS) aim at identifying genomic regions involved in phenotype expression, but identifying causative variants is difficult. Pig Combined Annotation Dependent Depletion (pCADD) ...

    Authors: Suzanne Desire, Martin Johnsson, Roger Ros-Freixedes, Ching-Yi Chen, Justin W. Holl, William O. Herring, Gregor Gorjanc, Richard J. Mellanby, John M. Hickey and Melissa K. Jungnickel
    Citation: Genetics Selection Evolution 2023 55:42
  6. International evaluations combine data from different countries allowing breeders to have access to larger panels of elite bulls and to increase the accuracy of estimated breeding values (EBV). However, intern...

    Authors: Renzo Bonifazi, Mario P. L. Calus, Jan ten Napel, Roel F. Veerkamp, Stefano Biffani, Martino Cassandro, Simone Savoia and Jérémie Vandenplas
    Citation: Genetics Selection Evolution 2023 55:41
  7. Inherited epidermolysis bullosa (EB) is a group of painful and life-threatening genetic disorders that are characterized by mechanically induced blistering of the skin and mucous membranes. Congenital skin fra...

    Authors: Mekki Boussaha, Arnaud Boulling, Valérie Wolgust, Lorraine Bourgeois-Brunel, Pauline Michot, Cécile Grohs, Nicolas Gaiani, Pierre-Yves Grivaud, Hélène Leclerc, Coralie Danchin-Burge, Marthe Vilotte, Julie Rivière, Didier Boichard, Jean-Marie Gourreau and Aurélien Capitan
    Citation: Genetics Selection Evolution 2023 55:40
  8. Selective breeding is a promising solution to reduce the vulnerability of fish farms to heat waves, which are predicted to increase in intensity and frequency. However, limited information about the genetic ar...

    Authors: Henri Lagarde, Delphine Lallias, Pierre Patrice, Audrey Dehaullon, Martin Prchal, Yoannah François, Jonathan D’Ambrosio, Emilien Segret, Ana Acin-Perez, Frederic Cachelou, Pierrick Haffray, Mathilde Dupont-Nivet and Florence Phocas
    Citation: Genetics Selection Evolution 2023 55:39
  9. This paper highlights the relationships between economic weights, genetic progress, and phenotypic progress in genomic breeding programs that aim at generating genetic progress in complex, i.e., multi-trait, b...

    Authors: Henner Simianer, Johannes Heise, Stefan Rensing, Torsten Pook, Johannes Geibel and Christian Reimer
    Citation: Genetics Selection Evolution 2023 55:38
  10. Single-step genomic best linear unbiased prediction (ssGBLUP) models allow the combination of genomic, pedigree, and phenotypic data into a single model, which is computationally challenging for large genotype...

    Authors: Jeremie Vandenplas, Jan ten Napel, Saeid Naderi Darbaghshahi, Ross Evans, Mario P. L. Calus, Roel Veerkamp, Andrew Cromie, Esa A. Mäntysaari and Ismo Strandén
    Citation: Genetics Selection Evolution 2023 55:37
  11. In breeding programmes, the observed genetic change is a sum of the contributions of different selection paths represented by groups of individuals. Quantifying these sources of genetic change is essential for...

    Authors: Thiago P. Oliveira, Jana Obšteter, Ivan Pocrnic, Nicolas Heslot and Gregor Gorjanc
    Citation: Genetics Selection Evolution 2023 55:36
  12. An essential component in the development of sustainable pig production is the reduction of nitrogen excretion in fattening pigs. Pig feeds typically contain high levels of dietary crude protein, and due to in...

    Authors: Esther Oluwada Ewaoluwagbemiga, Giuseppe Bee and Claudia Kasper
    Citation: Genetics Selection Evolution 2023 55:35
  13. Recently, crossbred animals have begun to be used as parents in the next generations of dairy and beef cattle systems, which has increased the interest in predicting the genetic merit of those animals. The pri...

    Authors: Ana Guillenea, Mogens Sandø Lund, Ross Evans, Vinzent Boerner and Emre Karaman
    Citation: Genetics Selection Evolution 2023 55:34
  14. Low-pass sequencing followed by sequence variant genotype imputation is an alternative to the routine microarray-based genotyping in cattle. However, the impact of haplotype reference panels and their interpla...

    Authors: Audald Lloret-Villas, Hubert Pausch and Alexander S. Leonard
    Citation: Genetics Selection Evolution 2023 55:33
  15. Canadienne cattle are the oldest breed of dairy cattle in North America. The Canadienne breed originates from cattle that were brought to America by the mid-seventeenth century French settlers. The herd book w...

    Authors: Alexandra Carrier, Isabelle Gilbert, Pierre Leclerc, Mario Duchesne and Claude Robert
    Citation: Genetics Selection Evolution 2023 55:32
  16. The Western honeybee is an economically important species globally, but has been experiencing colony losses that lead to economical damage and decreased genetic variability. This situation is spurring addition...

    Authors: Jana Obšteter, Laura K. Strachan, Jernej Bubnič, Janez Prešern and Gregor Gorjanc
    Citation: Genetics Selection Evolution 2023 55:31
  17. Viral nervous necrosis (VNN) is a major disease that affects European sea bass, and understanding the biological mechanisms that underlie VNN resistance is important for the welfare of farmed fish and sustaina...

    Authors: Emilie Delpuech, Marc Vandeputte, Romain Morvezen, Anastasia Bestin, Mathieu Besson, Joseph Brunier, Aline Bajek, Boudjema Imarazene, Yoannah François, Olivier Bouchez, Xavier Cousin, Charles Poncet, Thierry Morin, Jean-Sébastien Bruant, Béatrice Chatain, Pierrick Haffray…
    Citation: Genetics Selection Evolution 2023 55:30
  18. Gut microbial composition plays an important role in numerous traits, including immune response. Integration of host genomic information with microbiome data is a natural step in the prediction of complex trai...

    Authors: Joan Calle-García, Yuliaxis Ramayo-Caldas, Laura M. Zingaretti, Raquel Quintanilla, María Ballester and Miguel Pérez-Enciso
    Citation: Genetics Selection Evolution 2023 55:29
  19. Genetic diversity is a necessary condition for populations to evolve under natural adaptation, artificial selection, or both. However, genetic diversity is often threatened, in particular in domestic animal po...

    Authors: Alicia Jacques, Grégoire Leroy, Xavier Rognon, Etienne Verrier, Michèle Tixier-Boichard and Gwendal Restoux
    Citation: Genetics Selection Evolution 2023 55:28
  20. The construction of covariance matrices that account for the genetic relationships among individuals, using pedigree or genotype data, is integral to genetic evaluations, which are now routinely used in the fi...

    Authors: David Kenny, Donagh P. Berry, Thierry Pabiou and Pierce Rafter
    Citation: Genetics Selection Evolution 2023 55:27
  21. Authors: Tuan V. Nguyen, Christy J. Vander Jagt, Jianghui Wang, Hans D. Daetwyler, Ruidong Xiang, Michael E. Goddard, Loan T. Nguyen, Elizabeth M. Ross, Ben J. Hayes, Amanda J. Chamberlain and Iona M. MacLeod
    Citation: Genetics Selection Evolution 2023 55:25

    The original article was published in Genetics Selection Evolution 2023 55:9

  22. To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically ...

    Authors: Simone Ceccobelli, Vincenzo Landi, Gabriele Senczuk, Salvatore Mastrangelo, Maria Teresa Sardina, Slim Ben-Jemaa, Christian Persichilli, Taki Karsli, Valentin-Adrian Bâlteanu, María Agustina Raschia, Mario Andrés Poli, Gabriel Ciappesoni, Farai Catherine Muchadeyi, Edgar Farai Dzomba, Nokuthula Winfred Kunene, Gesine Lühken…
    Citation: Genetics Selection Evolution 2023 55:24
  23. Blood metabolic profiles can be used to assess metabolic disorders and to evaluate the health status of dairy cows. Given that these analyses are time-consuming, expensive, and stressful for the cows, there ha...

    Authors: Lucio F. M. Mota, Diana Giannuzzi, Sara Pegolo, Erminio Trevisi, Paolo Ajmone-Marsan and Alessio Cecchinato
    Citation: Genetics Selection Evolution 2023 55:23
  24. The gilthead sea bream (Sparus aurata) has long been considered resistant to viral nervous necrosis (VNN), until recently, when significant mortalities caused by a reassortant nervous necrosis virus (NNV) strain ...

    Authors: Sara Faggion, Paolo Carnier, Rafaella Franch, Massimiliano Babbucci, Francesco Pascoli, Giulia Dalla Rovere, Massimo Caggiano, Hervé Chavanne, Anna Toffan and Luca Bargelloni
    Citation: Genetics Selection Evolution 2023 55:22
  25. Genomic selection is widely applied for genetic improvement in livestock crossbreeding systems to select excellent nucleus purebred (PB) animals and to improve the performance of commercial crossbred (CB) anim...

    Authors: Siyi Liu, Tianxiong Yao, Dong Chen, Shijun Xiao, Liqing Chen and Zhiyan Zhang
    Citation: Genetics Selection Evolution 2023 55:21
  26. Availability of single nucleotide polymorphism (SNP) genotyping arrays and progress in statistical analyses have allowed the identification of genomic regions and genes under selection in chicken. In this stud...

    Authors: Salvatore Mastrangelo, Slim Ben-Jemaa, Francesco Perini, Filippo Cendron, Filippo Biscarini, Emiliano Lasagna, Mauro Penasa and Martino Cassandro
    Citation: Genetics Selection Evolution 2023 55:20
  27. In genomic prediction, it is common to centre the genotypes of single nucleotide polymorphisms based on the allele frequencies in the current population, rather than those in the base generation. The mean bree...

    Authors: Michael Aldridge, Jeremie Vandenplas, Pascal Duenk, John Henshall, Rachel Hawken and Mario Calus
    Citation: Genetics Selection Evolution 2023 55:19
  28. Natural and artificial selection for more than 9000 years have led to a variety of domestic pig breeds. Accurate identification of pig breeds is important for breed conservation, sustainable breeding, pork tra...

    Authors: Jian Miao, Zitao Chen, Zhenyang Zhang, Zhen Wang, Qishan Wang, Zhe Zhang and Yuchun Pan
    Citation: Genetics Selection Evolution 2023 55:18
  29. Dairy cattle production systems are mostly based on purebreds, but recently the use of crossbreeding has received increased interest. For genetic evaluations including crossbreds, several methods based on sing...

    Authors: Quanshun Mei, Huiming Liu, Shuhong Zhao, Tao Xiang and Ole F Christensen
    Citation: Genetics Selection Evolution 2023 55:17
  30. Lameness in dairy cattle is primarily caused by foot lesions including the claw horn lesions (CHL) of sole haemorrhage (SH), sole ulcers (SU), and white line disease (WL). This study investigated the genetic a...

    Authors: Bingjie Li, Matthew Barden, Vanessa Kapsona, Enrique Sánchez-Molano, Alkiviadis Anagnostopoulos, Bethany Eloise Griffiths, Cherril Bedford, Xiaoxia Dai, Mike Coffey, Androniki Psifidi, Georgios Oikonomou and Georgios Banos
    Citation: Genetics Selection Evolution 2023 55:16
  31. Gut metabolites are key actors in host-microbiota crosstalk with effect on health. The study of the gut metabolome is an emerging topic in livestock, which can help understand its effect on key traits such as ...

    Authors: Cristina Casto-Rebollo, María José Argente, María Luz García, Agustín Blasco and Noelia Ibáñez-Escriche
    Citation: Genetics Selection Evolution 2023 55:15
  32. In broiler breeding, genotype-by-environment interaction is known to result in a genetic correlation between body weight measured in bio-secure and commercial environments that is substantially less than 1. Th...

    Authors: Charlie A. de Hollander, Vivian P. Breen, John Henshall, Fernando B. Lopes and Mario PL. Calus
    Citation: Genetics Selection Evolution 2023 55:14
  33. Numerous genomic scans for positive selection have been performed in livestock species within the last decade, but often a detailed characterization of the detected regions (gene or trait under selection, timi...

    Authors: Simon Boitard, Laurence Liaubet, Cyriel Paris, Katia Fève, Patrice Dehais, Alban Bouquet, Juliette Riquet and Marie-José Mercat
    Citation: Genetics Selection Evolution 2023 55:13
  34. Show jumping is one of the most popular disciplines in the horse sector, which makes success in show jumping competitions an important breeding goal for many studbooks. Therefore, the genetic evaluation of sho...

    Authors: Léa Chapard, Anna Van Thillo, Roel Meyermans, Wim Gorssen, Nadine Buys and Steven Janssens
    Citation: Genetics Selection Evolution 2023 55:12
  35. In aquaculture, the proportion of edible meat (FY = fillet yield) is of major economic importance, and breeding animals of superior genetic merit for this trait can improve efficiency and profitability. Achiev...

    Authors: Andre Garcia, Shogo Tsuruta, Guangtu Gao, Yniv Palti, Daniela Lourenco and Tim Leeds
    Citation: Genetics Selection Evolution 2023 55:11
  36. Studies have demonstrated that structural variants (SV) play a substantial role in the evolution of species and have an impact on Mendelian traits in the genome. However, unlike small variants (< 50 bp), it ha...

    Authors: Tuan V. Nguyen, Christy J. Vander Jagt, Jianghui Wang, Hans D. Daetwyler, Ruidong Xiang, Michael E. Goddard, Loan T. Nguyen, Elizabeth M. Ross, Ben J. Hayes, Amanda J. Chamberlain and Iona M. MacLeod
    Citation: Genetics Selection Evolution 2023 55:9

    The Correction to this article has been published in Genetics Selection Evolution 2023 55:25

  37. Floor eggs, which are defined as eggs that hens lay off-nest, are a major issue in cage-free layer poultry systems. They create additional work for farmers because they must be collected by hand. They are also...

    Authors: Lorry Bécot, Nicolas Bédère, Jenna Coton, Thierry Burlot and Pascale Le Roy
    Citation: Genetics Selection Evolution 2023 55:8
  38. Reliabilities of best linear unbiased predictions (BLUP) of breeding values are defined as the squared correlation between true and estimated breeding values and are helpful in assessing risk and genetic gain....

    Authors: Matias Bermann, Ignacio Aguilar, Daniela Lourenco, Ignacy Misztal and Andres Legarra
    Citation: Genetics Selection Evolution 2023 55:6
  39. In poultry, the population structure of local breeds is usually complex mainly due to unrecorded breeding. Local chicken breeds offer an interesting proxy to understand the complexity of population structure i...

    Authors: Zhou Wu, Mirte Bosse, Christina M. Rochus, Martien A. M. Groenen and Richard P. M. A. Crooijmans
    Citation: Genetics Selection Evolution 2023 55:5
  40. Heat stress negatively influences cattle welfare, health and productivity. To cope with the forecasted increases in temperature and heat waves frequency, identifying high-producing animals that are tolerant to...

    Authors: Aurélie Vinet, Sophie Mattalia, Roxane Vallée, Christine Bertrand, Beatriz C. D. Cuyabano and Didier Boichard
    Citation: Genetics Selection Evolution 2023 55:4
  41. Longitudinal records of temperament can be used for assessing behavioral plasticity, such as aptness to learn, memorize, or change behavioral responses based on affective state. In this study, we evaluated the...

    Authors: Amanda B. Alvarenga, Hinayah R. Oliveira, Simon P. Turner, Andre Garcia, Kelli J. Retallick, Stephen P. Miller and Luiz F. Brito
    Citation: Genetics Selection Evolution 2023 55:3
  42. In this study, computationally efficient methods to approximate the reliabilities of genomic estimated breeding values (GEBV) in a single-step genomic prediction model including a residual polygenic (RPG) effe...

    Authors: Hongding Gao, Andrei A. Kudinov, Matti Taskinen, Timo J. Pitkänen, Martin H. Lidauer, Esa A. Mäntysaari and Ismo Strandén
    Citation: Genetics Selection Evolution 2023 55:1
  43. The availability of genome-wide marker data allows estimation of inbreeding coefficients (F, the probability of identity-by-descent, IBD) and, in turn, estimation of the rate of inbreeding depression (ΔID). We in...

    Authors: Armando Caballero, Almudena Fernández, Beatriz Villanueva and Miguel A. Toro
    Citation: Genetics Selection Evolution 2022 54:82
  44. The effect of the cecal microbiome on growth of rabbits that were fed under different regimes has been studied previously. However, the term “effect” carries a causal meaning that can be confounded because of ...

    Authors: Mónica Mora, María Velasco-Galilea, Juan Pablo Sánchez, Yuliaxis Ramayo-Caldas and Miriam Piles
    Citation: Genetics Selection Evolution 2022 54:81
  45. Genome-wide association studies (GWAS) help identify polymorphic sites or genes linked to phenotypic variance, but a few identified genes and/or single nucleotide polymorphisms (SNPs) are unlikely to explain a...

    Authors: Krzysztof Kotlarz, Barbara Kosinska-Selbi, Zexi Cai, Goutam Sahana and Joanna Szyda
    Citation: Genetics Selection Evolution 2022 54:80
  46. Selection schemes distort inference when estimating differences between treatments or genetic associations between traits, and may degrade prediction of outcomes, e.g., the expected performance of the progeny ...

    Authors: Daniel Gianola, Rohan L. Fernando and Chris C. Schön
    Citation: Genetics Selection Evolution 2022 54:78

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