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Page 14 of 71

  1. In nucleus populations, regions of the genome that have a high frequency of runs of homozygosity (ROH) occur and are associated with a reduction in genetic diversity, as well as adverse effects on fitness. It ...

    Authors: Jeremy T. Howard, Francesco Tiezzi, Yijian Huang, Kent A. Gray and Christian Maltecca
    Citation: Genetics Selection Evolution 2016 48:91
  2. Volatile organic compounds determine important quality traits in cheese. The aim of this work was to infer genetic parameters of the profile of volatile compounds in cheese as revealed by direct-injection mass...

    Authors: Matteo Bergamaschi, Alessio Cecchinato, Franco Biasioli, Flavia Gasperi, Bruno Martin and Giovanni Bittante
    Citation: Genetics Selection Evolution 2016 48:89
  3. Understanding the history of cattle breeds is important because it provides the basis for developing appropriate selection and breed improvement programs. In this study, patterns of ancestry and admixture in A...

    Authors: Sithembile O. Makina, Lindsey K. Whitacre, Jared E. Decker, Jeremy F. Taylor, Michael D. MacNeil, Michiel M. Scholtz, Este van Marle-Köster, Farai C. Muchadeyi, Mahlako L. Makgahlela and Azwihangwisi Maiwashe
    Citation: Genetics Selection Evolution 2016 48:88
  4. In recent years, several bovine genome sequencing projects were carried out with the aim of developing genomic tools to improve dairy and beef production efficiency and sustainability.

    Authors: Mekki Boussaha, Pauline Michot, Rabia Letaief, Chris Hozé, Sébastien Fritz, Cécile Grohs, Diane Esquerré, Amandine Duchesne, Romain Philippe, Véronique Blanquet, Florence Phocas, Sandrine Floriot, Dominique Rocha, Christophe Klopp, Aurélien Capitan and Didier Boichard
    Citation: Genetics Selection Evolution 2016 48:87
  5. Accurate genomic analyses are predicated upon access to accurate genotype input data. The objective of this study was to quantify the reproducibility of genotype data that are generated from the same genotype ...

    Authors: Donagh P. Berry, Aine O’Brien, Eamonn Wall, Kevin McDermott, Shane Randles, Paul Flynn, Stephen Park, Jenny Grose, Rebecca Weld and Noirin McHugh
    Citation: Genetics Selection Evolution 2016 48:86
  6. Central testing is used to select young bulls which are likely to contribute to increased net income of the commercial beef cattle herd. We present genetic parameters for growth and reproductive traits on perf...

    Authors: Fernanda S. S. Raidan, Dalinne C. C. Santos, Mariana M. Moraes, Andresa E. M. Araújo, Henrique T. Ventura, José A. G. Bergmann, Eduardo M. Turra and Fabio L. B. Toral
    Citation: Genetics Selection Evolution 2016 48:85
  7. Genomic prediction for novel traits, which can be costly and labor-intensive to measure, is often hampered by low accuracy due to the limited size of the reference population. As an option to improve predictio...

    Authors: Chen Yao, Xiaojin Zhu and Kent A. Weigel
    Citation: Genetics Selection Evolution 2016 48:84
  8. Sequence data can potentially increase the reliability of genomic predictions, because such data include causative mutations instead of relying on linkage disequilibrium (LD) between causative mutations and pr...

    Authors: Irene van den Berg, Didier Boichard and Mogens S. Lund
    Citation: Genetics Selection Evolution 2016 48:83
  9. A genomic relationship matrix (GRM) can be inverted efficiently with the Algorithm for Proven and Young (APY) through recursion on a small number of core animals. The number of core animals is theoretically li...

    Authors: Ivan Pocrnic, Daniela A. L. Lourenco, Yutaka Masuda and Ignacy Misztal
    Citation: Genetics Selection Evolution 2016 48:82
  10. Procedures for the detection of signatures of selection can be classified according to the source of information they use to reject the null hypothesis of absence of selection. Three main groups of tests can ...

    Authors: Aldemar González-Rodríguez, Sebastián Munilla, Elena F. Mouresan, Jhon J. Cañas-Álvarez, Clara Díaz, Jesús Piedrafita, Juan Altarriba, Jesús Á. Baro, Antonio Molina and Luis Varona
    Citation: Genetics Selection Evolution 2016 48:81
  11. The mixed linear model employed for genomic best linear unbiased prediction (GBLUP) includes the breeding value for each animal as a random effect that has a mean of zero and a covariance matrix proportional t...

    Authors: Rohan L. Fernando, Hao Cheng and Dorian J. Garrick
    Citation: Genetics Selection Evolution 2016 48:80
  12. Clinical mastitis is an inflammation of the mammary gland and causes significant costs to dairy production. It is unfavourably genetically correlated to milk production, and, thus, knowledge of the mechanisms ...

    Authors: Hanne Gro Olsen, Tim Martin Knutsen, Anna M. Lewandowska-Sabat, Harald Grove, Torfinn Nome, Morten Svendsen, Mariann Arnyasi, Marte Sodeland, Kristil K. Sundsaasen, Sandra Rinne Dahl, Bjørg Heringstad, Hanne H. Hansen, Ingrid Olsaker, Matthew Peter Kent and Sigbjørn Lien
    Citation: Genetics Selection Evolution 2016 48:79
  13. The mode of inheritance of horn status in sheep is far more complex than a superficial analysis might suggest. Observations, which were mostly based on crossbreeding experiments, indicated that the allele that...

    Authors: Gesine Lühken, Stefan Krebs, Sophie Rothammer, Julia Küpper, Boro Mioč, Ingolf Russ and Ivica Medugorac
    Citation: Genetics Selection Evolution 2016 48:78
  14. Traditional genomic prediction models using multiple regression on single nucleotide polymorphisms (SNPs) genotypes exploit associations between genotypes of quantitative trait loci (QTL) and SNPs, which can b...

    Authors: Xiaochen Sun, Rohan Fernando and Jack Dekkers
    Citation: Genetics Selection Evolution 2016 48:77
  15. The identification of signals left by recent positive selection provides a feasible approach for targeting genomic variants that underlie complex traits and fitness. A better understanding of the selection mec...

    Authors: Minhui Chen, Dunfei Pan, Hongyan Ren, Jinluan Fu, Junya Li, Guosheng Su, Aiguo Wang, Li Jiang, Qin Zhang and Jian-Feng Liu
    Citation: Genetics Selection Evolution 2016 48:76
  16. The majority of chickens in sub-Saharan Africa are indigenous ecotypes, well adapted to the local environment and raised in scavenging production systems. Although they are generally resilient to disease chall...

    Authors: Androniki Psifidi, Georgios Banos, Oswald Matika, Takele T. Desta, Judy Bettridge, David A. Hume, Tadelle Dessie, Rob Christley, Paul Wigley, Olivier Hanotte and Pete Kaiser
    Citation: Genetics Selection Evolution 2016 48:74
  17. Extending the reference set for genomic predictions in dairy cattle by adding large numbers of cows with genotypes and phenotypes has been proposed as a means to increase reliability of selection decisions for...

    Authors: Laura Plieschke, Christian Edel, Eduardo C. G. Pimentel, Reiner Emmerling, Jörn Bennewitz and Kay-Uwe Götz
    Citation: Genetics Selection Evolution 2016 48:73
  18. Feed efficiency of farm animals has greatly improved through genetic selection for production. Today, we are faced with the limits of our ability to predict the effect of selection on feed efficiency, partly b...

    Authors: Laurence Puillet, Denis Réale and Nicolas C. Friggens
    Citation: Genetics Selection Evolution 2016 48:72
  19. Genotype imputation is a key element of the implementation of genomic selection within the New Zealand sheep industry, but many factors can influence imputation accuracy. Our objective was to provide practical...

    Authors: Ricardo V. Ventura, Stephen P. Miller, Ken G. Dodds, Benoit Auvray, Michael Lee, Matthew Bixley, Shannon M. Clarke and John C. McEwan
    Citation: Genetics Selection Evolution 2016 48:71
  20. The management of genetic variation in a breeding scheme relies very much on the control of the average relationship between selected parents. Optimum contribution selection is a method that seeks the optimum ...

    Authors: Binyam S. Dagnachew and Theo H. E. Meuwissen
    Citation: Genetics Selection Evolution 2016 48:70
  21. Mortality due to cannibalism causes both economic and welfare problems in laying hens. To limit mortality due to cannibalism, laying hens are often beak-trimmed, which is undesirable for animal welfare reasons...

    Authors: Setegn W. Alemu, Mario P. L. Calus, William M. Muir, Katrijn Peeters, Addie Vereijken and Piter Bijma
    Citation: Genetics Selection Evolution 2016 48:68
  22. Dominance and imprinting genetic effects have been shown to contribute to genetic variance for certain traits but are usually ignored in genomic prediction of complex traits in livestock. The objectives of thi...

    Authors: Xiangyu Guo, Ole Fredslund Christensen, Tage Ostersen, Yachun Wang, Mogens Sandø Lund and Guosheng Su
    Citation: Genetics Selection Evolution 2016 48:67
  23. Structural chromosome abnormalities are well known as factors that reduce fertility rate in domestic pigs. According to large-scale national cytogenetic screening programs that are implemented in France, it is...

    Authors: Anh T. Quach, Tamas Revay, Daniel A. F. Villagomez, Mariana P. Macedo, Alison Sullivan, Laurence Maignel, Stefanie Wyss, Brian Sullivan and W. Allan King
    Citation: Genetics Selection Evolution 2016 48:66
  24. Identification of genes or even nucleotides that are responsible for quantitative and adaptive trait variation is a difficult task due to the complex interdependence between a large number of genetic and envir...

    Authors: Strahil Ristov, Vladimir Brajkovic, Vlatka Cubric-Curik, Ivan Michieli and Ino Curik
    Citation: Genetics Selection Evolution 2016 48:65
  25. In shrimp farming, major production losses are caused by viruses. Hepatopancreatic parvovirus (HPV) is one of the viral pathogens that infect banana shrimp (Fenneropenaeus merguiensis). HPV is thought to slow dow...

    Authors: Chontida Phuthaworn, Nguyen Hong Nguyen, Jane Quinn and Wayne Knibb
    Citation: Genetics Selection Evolution 2016 48:64
  26. Selective breeding for genetic improvement is expected to leave distinctive selection signatures within genomes. The identification of selection signatures can help to elucidate the mechanisms of selection and...

    Authors: Xing Guo, Qi Fang, Chendong Ma, Bangyuan Zhou, Yi Wan and Runshen Jiang
    Citation: Genetics Selection Evolution 2016 48:62
  27. For some species, animal production systems are based on the use of crossbreeding to take advantage of the increased performance of crossbred compared to purebred animals. Effects of single nucleotide polymorp...

    Authors: Jérémie Vandenplas, Mario P. L. Calus, Claudia A. Sevillano, Jack J. Windig and John W. M. Bastiaansen
    Citation: Genetics Selection Evolution 2016 48:61
  28. There is growing interest in the role of rare variants in the variation of complex traits due to increasing evidence that rare variants are associated with quantitative traits. However, association methods th...

    Authors: Qianqian Zhang, Bernt Guldbrandtsen, Mario P. L. Calus, Mogens Sandø Lund and Goutam Sahana
    Citation: Genetics Selection Evolution 2016 48:60
  29. Decreasing sequencing costs and development of new protocols for characterizing global methylation, gene expression patterns and regulatory regions have stimulated the generation of large livestock datasets. H...

    Authors: Jeremy F. Taylor, Lynsey K. Whitacre, Jesse L. Hoff, Polyana C. Tizioto, JaeWoo Kim, Jared E. Decker and Robert D. Schnabel
    Citation: Genetics Selection Evolution 2016 48:59
  30. Cattle include a large number of breeds that are characterized by marked phenotypic differences and thus constitute a valuable model to study genome evolution in response to processes such as selection and dom...

    Authors: Silvia Sorbolini, Giustino Gaspa, Roberto Steri, Corrado Dimauro, Massimo Cellesi, Alessandra Stella, Gabriele Marras, Paolo Ajmone Marsan, Alessio Valentini and Nicolò Pietro Paolo Macciotta
    Citation: Genetics Selection Evolution 2016 48:58
  31. Domestication and artificial selection have resulted in strong genetic drift, relaxation of purifying selection and accumulation of deleterious mutations. As a consequence, bovine breeds experience regular out...

    Authors: Pauline Michot, Sabine Chahory, Andrew Marete, Cécile Grohs, Dimitri Dagios, Elise Donzel, Abdelhak Aboukadiri, Marie-Christine Deloche, Aurélie Allais-Bonnet, Matthieu Chambrial, Sarah Barbey, Lucie Genestout, Mekki Boussaha, Coralie Danchin-Burge, Sébastien Fritz, Didier Boichard…
    Citation: Genetics Selection Evolution 2016 48:56
  32. Although breeding programs for pigs and poultry aim at improving crossbred performance, they mainly use training populations that consist of purebred animals. For some traits, e.g. residual feed intake, the ge...

    Authors: Claudia A. Sevillano, Jeremie Vandenplas, John W. M. Bastiaansen and Mario P. L. Calus
    Citation: Genetics Selection Evolution 2016 48:55
  33. Genomic best linear unbiased prediction methods assume that all markers explain the same fraction of the genetic variance and do not account effectively for genes with major effects such as the α ...

    Authors: Céline Carillier-Jacquin, Hélène Larroque and Christèle Robert-Granié
    Citation: Genetics Selection Evolution 2016 48:54
  34. This review, is a synopsis of advanced reproductive technologies in farm animals, including the discussion of their limiting factors as revealed by the study of offspring derived from embryos produced in vitro...

    Authors: Pasqualino Loi, Paola Toschi, Federica Zacchini, Grazyna Ptak, Pier A. Scapolo, Emanuele Capra, Alessandra Stella, Paolo Ajmone Marsan and John L. Williams
    Citation: Genetics Selection Evolution 2016 48:53
  35. The main goal of the current work was to infer the demographic history of seven Spanish goat breeds (Malagueña, Murciano-Granadina, Florida, Palmera, Mallorquina, Bermeya and Blanca de Rasquera) based on genom...

    Authors: Arianna Manunza, Antonia Noce, Juan Manuel Serradilla, Félix Goyache, Amparo Martínez, Juan Capote, Juan Vicente Delgado, Jordi Jordana, Eva Muñoz, Antonio Molina, Vincenzo Landi, Agueda Pons, Valentin Balteanu, Amadou Traoré, Montse Vidilla, Manuel Sánchez-Rodríguez…
    Citation: Genetics Selection Evolution 2016 48:52
  36. Our recent research showed that antibody response to porcine reproductive and respiratory syndrome (PRRS), measured as sample-to-positive (S/P) ratio, is highly heritable and has a high genetic correlation wit...

    Authors: Nick V. L. Serão, Robert A. Kemp, Benny E. Mote, Philip Willson, John C. S. Harding, Stephen C. Bishop, Graham S. Plastow and Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2016 48:51
  37. Intensified selection of polled individuals has recently gained importance in predominantly horned dairy cattle breeds as an alternative to routine dehorning. The status quo of the current polled breeding pool...

    Authors: Carsten Scheper, Monika Wensch-Dorendorf, Tong Yin, Holger Dressel, Herrmann Swalve and Sven König
    Citation: Genetics Selection Evolution 2016 48:50
  38. Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we ...

    Authors: Mario P. L. Calus, Aniek C. Bouwman, Chris Schrooten and Roel F. Veerkamp
    Citation: Genetics Selection Evolution 2016 48:49
  39. In many animal breeding programs, with the increasing number of genotyped animals, estimation of genomic breeding values by the single-step method is becoming limited by excessive computing requirements. A rec...

    Authors: Tage Ostersen, Ole F. Christensen, Per Madsen and Mark Henryon
    Citation: Genetics Selection Evolution 2016 48:48
  40. Sea lice have significant negative economic and welfare impacts on marine Atlantic salmon farming. Since host resistance to sea lice has a substantial genetic component, selective breeding can contribute to c...

    Authors: Hsin-Yuan Tsai, Alastair Hamilton, Alan E. Tinch, Derrick R. Guy, James E. Bron, John B. Taggart, Karim Gharbi, Michael Stear, Oswald Matika, Ricardo Pong-Wong, Steve C. Bishop and Ross D. Houston
    Citation: Genetics Selection Evolution 2016 48:47
  41. In beef cattle, maternal care is critical for calf survival and growth. Our objective was to evaluate the major sources of additive genetic variation in maternal behavior and suckling performance in two geneti...

    Authors: Alexis Michenet, Romain Saintilan, Eric Venot and Florence Phocas
    Citation: Genetics Selection Evolution 2016 48:45
  42. Porcine reproductive and respiratory syndrome (PRRS) is one of the most important swine diseases in the world and genetic selection of pigs for increased resistance to PRRS is an attractive method to improve t...

    Authors: Andrew S. Hess, Zeenath Islam, Melanie K. Hess, Raymond R. R. Rowland, Joan K. Lunney, Andrea Doeschl-Wilson, Graham S. Plastow and Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2016 48:43
  43. Animal breeding programs have been very successful in improving the mean levels of traits through selection. However, in recent decades, reducing the variability of trait levels between individuals has become ...

    Authors: Jovana Marjanovic, Han A. Mulder, Hooi L. Khaw and Piter Bijma
    Citation: Genetics Selection Evolution 2016 48:41

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