Skip to main content

Articles

Page 2 of 72

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

  7. 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
  8. 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

  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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

  16. 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
  17. 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
  18. The domestication of animals started around 12,000 years ago in the Near East region. This “endless process” is characterized by the gradual accumulation of changes that progressively marked the genetic, pheno...

    Authors: Paolo Mereu, Monica Pirastru, Daria Sanna, Giovanni Bassu, Salvatore Naitana and Giovanni Giuseppe Leoni
    Citation: Genetics Selection Evolution 2024 56:1
  19. Automatic and continuous recording of vaginal temperature (TV) using wearable sensors causes minimal disruptions to animal behavior and can generate data that enable the evaluation of temporal body temperature va...

    Authors: Hui Wen, Jay S. Johnson, Pedro H. F. Freitas, Jacob M. Maskal, Leonardo S. Gloria, Andre C. Araujo, Victor B. Pedrosa, Francesco Tiezzi, Christian Maltecca, Yijian Huang, Allan P. Schinckel and Luiz F. Brito
    Citation: Genetics Selection Evolution 2023 55:95
  20. The Algerian honey bee population is composed of two described subspecies A. m. intermissa and A. m. sahariensis, of which little is known regarding population genomics, both in terms of genetic differentiation a...

    Authors: Giovanna Salvatore, Amira Chibani Bahi Amar, Kamila Canale-Tabet, Riad Fridi, Nacera Tabet Aoul, Soumia Saci, Emmanuelle Labarthe, Valentino Palombo, Mariasilvia D’Andrea, Alain Vignal and Pierre Faux
    Citation: Genetics Selection Evolution 2023 55:94
  21. Selecting animals for feed efficiency directly impacts the profitability of the beef cattle industry, which contributes to minimizing the environmental footprint of beef production. Genetic and environmental f...

    Authors: João B. Silva Neto, Lucio F. M. Mota, Sabrina T. Amorim, Elisa Peripolli, Luiz F. Brito, Claudio U. Magnabosco and Fernando Baldi
    Citation: Genetics Selection Evolution 2023 55:93
  22. Effective conservation and utilization of farm animals are fundamental for realizing sustainable increases in food production. In situ and ex situ conservation are the two main strategies that are currently us...

    Authors: Mengmeng Zhang, Shiwei Wang, Ran Xu, Yijun Liu, Han Zhang, Mengxia Sun, Junyan Wang, Zhexi Liu and Keliang Wu
    Citation: Genetics Selection Evolution 2023 55:92
  23. The genomes of indigenous African cattle are composed of components with Middle Eastern (taurine) and South Asian (indicine) origins, providing a valuable model to study hybridization and to identify genetic b...

    Authors: Juliane Friedrich, Richard I. Bailey, Andrea Talenti, Umer Chaudhry, Qasim Ali, Emmanuel F. Obishakin, Chukwunonso Ezeasor, Jessica Powell, Olivier Hanotte, Abdulfatai Tijjani, Karen Marshall, James Prendergast and Pamela Wiener
    Citation: Genetics Selection Evolution 2023 55:91
  24. Disease resilience is the ability of an animal to maintain productive performance under disease conditions and is an important selection target. In pig breeding programs, disease resilience must be evaluated o...

    Authors: Kyu-Sang Lim, Jian Cheng, Christopher Tuggle, Michael Dyck, PigGen Canada, Frederic Fortin, John Harding, Graham Plastow and Jack Dekkers
    Citation: Genetics Selection Evolution 2023 55:90
  25. In domesticated animals, many important traits are complex and regulated by a large number of genes, genetic interactions, and environmental influences. The ability of Icelandic horses to perform the gait ‘pac...

    Authors: Heiðrún Sigurðardóttir, Henrik Boije, Elsa Albertsdóttir, Thorvaldur Kristjansson, Marie Rhodin, Gabriella Lindgren and Susanne Eriksson
    Citation: Genetics Selection Evolution 2023 55:89
  26. Intense selection of modern pig breeds has resulted in genetic improvement of production traits while the performance of local pig breeds has remained lower. As local pig breeds have been bred in extensive sys...

    Authors: Klavdija Poklukar, Camille Mestre, Martin Škrlep, Marjeta Čandek-Potokar, Cristina Ovilo, Luca Fontanesi, Juliette Riquet, Samuele Bovo, Giuseppina Schiavo, Anisa Ribani, Maria Muñoz, Maurizio Gallo, Ricardo Bozzi, Rui Charneca, Raquel Quintanilla, Goran Kušec…
    Citation: Genetics Selection Evolution 2023 55:88
  27. Egg-laying performance is economically important in poultry breeding programs. Crossbreeding between indigenous and elite commercial lines to exploit heterosis has been an upward trend in traditional layer bre...

    Authors: Aixin Ni, Mario P. L. Calus, Henk Bovenhuis, Jingwei Yuan, Yuanmei Wang, Yanyan Sun and Jilan Chen
    Citation: Genetics Selection Evolution 2023 55:87
  28. Effective population size (Ne) is a crucial parameter in conservation genetics and animal breeding. A recent method, implemented by the software GONE, has been shown to be rather accurate in estimating recent his...

    Authors: Irene Novo, Pilar Ordás, Natalia Moraga, Enrique Santiago, Humberto Quesada and Armando Caballero
    Citation: Genetics Selection Evolution 2023 55:86
  29. Commercial poultry production systems follow a pyramidal structure with a nucleus of purebred animals under controlled conditions at the top and crossbred animals under commercial production conditions at the ...

    Authors: Mette Dam Madsen, Naomi Duijvesteijn, Julius van der Werf and Sam Clark
    Citation: Genetics Selection Evolution 2023 55:85
  30. Within the same species, individuals show marked variation in their social dominance. Studies on a handful of populations have indicated heritable genetic variation for this trait, which is determined by both ...

    Authors: Beniamino Tuliozi, Roberto Mantovani, Ivana Schoepf, Shogo Tsuruta, Enrico Mancin and Cristina Sartori
    Citation: Genetics Selection Evolution 2023 55:84
  31. Cohorts of individuals that have been genotyped and phenotyped for genomic selection programs offer the opportunity to better understand genetic variation associated with complex traits. Here, we performed an ...

    Authors: José Luis Gualdrón Duarte, Can Yuan, Ann-Stephan Gori, Gabriel C. M. Moreira, Haruko Takeda, Wouter Coppieters, Carole Charlier, Michel Georges and Tom Druet
    Citation: Genetics Selection Evolution 2023 55:83
  32. The single-step model is becoming increasingly popular for national genetic evaluations of dairy cattle due to the benefits that it offers such as joint breeding value estimation for genotyped and ungenotyped ...

    Authors: Dawid Słomian, Kacper Żukowski and Joanna Szyda
    Citation: Genetics Selection Evolution 2023 55:82
  33. Host resilience (HR) to parasites can affect the performance of animals. Therefore, the aim of this study was to present a detailed investigation of the genetic mechanisms of HR to ticks (TICK), gastrointestin...

    Authors: Gabriela Canabrava Gouveia, Virgínia Mara Pereira Ribeiro, Marina Rufino Salinas Fortes, Fernanda Santos Silva Raidan, Antonio Reverter, Laercio Ribeiro Porto-Neto, Mariana Mamedes de Moraes, Daniel Resende Gonçalves, Marcos Vinicius Gualberto Barbosa da Silva and Fabio Luiz Buranelo Toral
    Citation: Genetics Selection Evolution 2023 55:81
  34. The objective of any valid breeding program is to increase the suitability of a breed for its future purposes. The approach most often followed in animal breeding for optimizing breeding goals assumes that the...

    Authors: Robin Wellmann, Nicolas Gengler, Jörn Bennewitz and Jens Tetens
    Citation: Genetics Selection Evolution 2023 55:80
  35. Authors: Marie-Pierre Sanchez, Thierry Tribout, Naveen K. Kadri, Praveen K. Chitneedi, Steffen Maak, Chris Hozé, Mekki Boussaha, Pascal Croiseau, Romain Philippe, Mirjam Spengeler, Christa Kühn, Yining Wang, Changxi Li, Graham Plastow, Hubert Pausch and Didier Boichard
    Citation: Genetics Selection Evolution 2023 55:79

    The original article was published in Genetics Selection Evolution 2023 55:70

  36. The ever-increasing availability of high-density genomic markers in the form of single nucleotide polymorphisms (SNPs) enables genomic prediction, i.e. the inference of phenotypes based solely on genomic data,...

    Authors: Felix Heinrich, Thomas Martin Lange, Magdalena Kircher, Faisal Ramzan, Armin Otto Schmitt and Mehmet Gültas
    Citation: Genetics Selection Evolution 2023 55:78
  37. There is a growing need to improve robustness of fattening pigs, but this trait is difficult to phenotype. Our first objective was to develop a proxy for robustness of fattening pigs by modelling the longitudi...

    Authors: Guillaume Lenoir, Loïc Flatres-Grall, Rafael Muñoz-Tamayo, Ingrid David and Nicolas C. Friggens
    Citation: Genetics Selection Evolution 2023 55:77
  38. Hoof structure and health are essential for the welfare and productivity of beef cattle. Therefore, we assessed the genetic and genomic background of foot score traits in American (US) and Australian (AU) Angu...

    Authors: Amanda B. Alvarenga, Kelli J. Retallick, Andre Garcia, Stephen P. Miller, Andrew Byrne, Hinayah R. Oliveira and Luiz F. Brito
    Citation: Genetics Selection Evolution 2023 55:76
  39. For years, multiple trait genetic evaluations have been used to increase the accuracy of estimated breeding values (EBV) using information from correlated traits. In France, accurate approximations of multiple...

    Authors: Laure-Hélène Maugan, Roberta Rostellato, Thierry Tribout, Sophie Mattalia and Vincent Ducrocq
    Citation: Genetics Selection Evolution 2023 55:75
  40. In spite of the availability of single nucleotide polymorphism (SNP) array data, differentiation between observed homozygosity and that caused by mating between relatives (autozygosity) introduces major diffic...

    Authors: Katherine D. Arias, Juan Pablo Gutiérrez, Iván Fernández, Isabel Álvarez and Félix Goyache
    Citation: Genetics Selection Evolution 2023 55:74
  41. Modern breeding strategies have resulted in significant differences in muscle mass between indigenous chicken and specialized broiler. However, the molecular regulatory mechanisms that underlie these differenc...

    Authors: Zhang Wang, Weihua Tian, Dandan Wang, Yulong Guo, Zhimin Cheng, Yanyan Zhang, Xinyan Li, Yihao Zhi, Donghua Li, Zhuanjian Li, Ruirui Jiang, Guoxi Li, Yadong Tian, Xiangtao Kang, Hong Li, Ian C. Dunn…
    Citation: Genetics Selection Evolution 2023 55:73
  42. Although the accumulation of whole-genome sequencing (WGS) data has accelerated the identification of mutations underlying complex traits, its impact on the accuracy of genomic predictions is limited. Reliable...

    Authors: Di Zhu, Yiqiang Zhao, Ran Zhang, Hanyu Wu, Gengyuan Cai, Zhenfang Wu, Yuzhe Wang and Xiaoxiang Hu
    Citation: Genetics Selection Evolution 2023 55:72
  43. It has been challenging to implement genomic selection in multi-breed tropical beef cattle populations. If commercial (often crossbred) animals could be used in the reference population for these genomic evalu...

    Authors: Ben J. Hayes, James Copley, Elsie Dodd, Elizabeth M. Ross, Shannon Speight and Geoffry Fordyce
    Citation: Genetics Selection Evolution 2023 55:71
  44. Combining the results of within-population genome-wide association studies (GWAS) based on whole-genome sequences into a single meta-analysis (MA) is an accurate and powerful method for identifying variants as...

    Authors: Marie-Pierre Sanchez, Thierry Tribout, Naveen K. Kadri, Praveen K. Chitneedi, Steffen Maak, Chris Hozé, Mekki Boussaha, Pascal Croiseau, Romain Philippe, Mirjam Spengeler, Christa Kühn, Yining Wang, Changxi Li, Graham Plastow, Hubert Pausch and Didier Boichard
    Citation: Genetics Selection Evolution 2023 55:70

    The Correction to this article has been published in Genetics Selection Evolution 2023 55:79

  45. Heterosis is routinely exploited to improve animal performance. However, heterosis and its underlying molecular mechanism for feed intake and efficiency have been rarely explored in chickens. Feed efficiency c...

    Authors: Jingwei Yuan, Jinmeng Zhao, Yanyan Sun, Yuanmei Wang, Yunlei Li, Aixin Ni, Yunhe Zong, Hui Ma, Panlin Wang, Lei Shi and Jilan Chen
    Citation: Genetics Selection Evolution 2023 55:69
  46. The single-step approach has become the most widely-used methodology for genomic evaluations when only a subset of phenotyped individuals in the pedigree are genotyped, where the genotypes for non-genotyped in...

    Authors: Tianjing Zhao and Hao Cheng
    Citation: Genetics Selection Evolution 2023 55:68
  47. Harmful social behaviours, such as injurious feather pecking in poultry and tail biting in swine, reduce animal welfare and production efficiency. While these behaviours are heritable, selective breeding is st...

    Authors: Zhuoshi Wang, Harmen Doekes and Piter Bijma
    Citation: Genetics Selection Evolution 2023 55:67
  48. Genetic selection based on direct indicators of heat stress could capture additional mechanisms that are involved in heat stress response and enable more accurate selection for more heat-tolerant individuals. ...

    Authors: Pedro H. F. Freitas, Jay S. Johnson, Hui Wen, Jacob M. Maskal, Francesco Tiezzi, Christian Maltecca, Yijian Huang, Ashley E. DeDecker, Allan P. Schinckel and Luiz F. Brito
    Citation: Genetics Selection Evolution 2023 55:65

Can't find what you're looking for?

When searching for content, we recommend using specific search terms with Boolean Operators like AND, OR, NOT, and with multi-word phrases in “" or *. For instance:

  • Refine your search by author by entering into the search bar:      author#"consortium"
  • Refine your search by title by entering into the search bar:      title#"monogenic traits"