Skip to main content

Articles

Page 18 of 71

  1. Since the pig is one of the most important livestock animals worldwide, mapping loci that are associated with economically important traits and/or traits that influence animal welfare is extremely relevant for...

    Authors: Sophie Rothammer, Prisca V Kremer, Maren Bernau, Ignacio Fernandez-Figares, Jennifer Pfister-Schär, Ivica Medugorac and Armin M Scholz
    Citation: Genetics Selection Evolution 2014 46:68
  2. The major obstacles for the implementation of genomic selection in Australian beef cattle are the variety of breeds and in general, small numbers of genotyped and phenotyped individuals per breed. The Australi...

    Authors: Vinzent Boerner, David J Johnston and Bruce Tier
    Citation: Genetics Selection Evolution 2014 46:61
  3. The one-step blending approach has been suggested for genomic prediction in dairy cattle. The core of this approach is to incorporate pedigree and phenotypic information of non-genotyped animals. The objective...

    Authors: Xiujin Li, Sheng Wang, Ju Huang, Leyi Li, Qin Zhang and Xiangdong Ding
    Citation: Genetics Selection Evolution 2014 46:66
  4. Genotype imputation from low-density (LD) to high-density single nucleotide polymorphism (SNP) chips is an important step before applying genomic selection, since denser chips tend to provide more reliable gen...

    Authors: Roberto Carvalheiro, Solomon A Boison, Haroldo H R Neves, Mehdi Sargolzaei, Flavio S Schenkel, Yuri T Utsunomiya, Ana Maria Pérez O'Brien, Johann Sölkner, John C McEwan, Curtis P Van Tassell, Tad S Sonstegard and José Fernando Garcia
    Citation: Genetics Selection Evolution 2014 46:69
  5. Genomic prediction is based on the accurate estimation of the genomic relationships among and between training animals and selection candidates in order to obtain accurate estimates of the genomic estimated br...

    Authors: Tu Luan, Xijiang Yu, Marlies Dolezal, Alessandro Bagnato and Theo HE Meuwissen
    Citation: Genetics Selection Evolution 2014 46:64
  6. A cost-effective strategy to increase the density of available markers within a population is to sequence a small proportion of the population and impute whole-genome sequence data for the remaining population...

    Authors: Mirjam Frischknecht, Markus Neuditschko, Vidhya Jagannathan, Cord Drögemüller, Jens Tetens, Georg Thaller, Tosso Leeb and Stefan Rieder
    Citation: Genetics Selection Evolution 2014 46:63
  7. The prediction accuracy of several linear genomic prediction models, which have previously been used for within-line genomic prediction, was evaluated for multi-line genomic prediction.

    Authors: Mario PL Calus, Heyun Huang, Addie Vereijken, Jeroen Visscher, Jan ten Napel and Jack J Windig
    Citation: Genetics Selection Evolution 2014 46:57
  8. A condition to predict unbiased estimated breeding values by best linear unbiased prediction is to use simultaneously all available data. However, this condition is not often fully met. For example, in dairy c...

    Authors: Jérémie Vandenplas, Frederic G Colinet and Nicolas Gengler
    Citation: Genetics Selection Evolution 2014 46:59
  9. The accuracy of genomic prediction depends largely on the number of animals with phenotypes and genotypes. In some industries, such as sheep and beef cattle, data are often available from a mixture of breeds, ...

    Authors: Nasir Moghaddar, Andrew A Swan and Julius HJ van der Werf
    Citation: Genetics Selection Evolution 2014 46:58
  10. To obtain predictions that are not biased by selection, the conditional mean of the breeding values must be computed given the data that were used for selection. When single nucleotide polymorphism (SNP) effec...

    Authors: Rohan L Fernando, Jack CM Dekkers and Dorian J Garrick
    Citation: Genetics Selection Evolution 2014 46:50
  11. Efficient methodologies based on animal models are widely used to estimate breeding values in farm animals. These methods are not applicable in honey bees because of their mode of reproduction. Observations ar...

    Authors: Evert W Brascamp and Piter Bijma
    Citation: Genetics Selection Evolution 2014 46:53
  12. While much attention has focused on the development of high-density single nucleotide polymorphism (SNP) assays, the costs of developing and running low-density assays have fallen dramatically. This makes it f...

    Authors: John M Henshall, Leanne Dierens and Melony J Sellars
    Citation: Genetics Selection Evolution 2014 46:51
  13. Genotyping accounts for a substantial part of the cost of genomic selection (GS). Using both dense and sparse SNP chips, together with imputation of missing genotypes, can reduce these costs. The aim of this s...

    Authors: Xijiang Yu, John A Woolliams and Theo HE Meuwissen
    Citation: Genetics Selection Evolution 2014 46:46
  14. The major prolificacy gene FecL was first described in the Lacaune sheep meat breed Ovi-Test in 1998. A few studies estimated the effect of this gene on prolificacy but little data is available. In 2010, the Ovi-...

    Authors: Pauline Martin, Jérome Raoul and Loys Bodin
    Citation: Genetics Selection Evolution 2014 46:48
  15. With the advent of genomic selection, alternative relationship matrices are used in animal breeding, which vary in their coverage of distant relationships due to old common ancestors. Relationships based on pe...

    Authors: Theo HE Meuwissen, Jorgen Odegard, Ina Andersen-Ranberg and Eli Grindflek
    Citation: Genetics Selection Evolution 2014 46:49
  16. Although the X chromosome is the second largest bovine chromosome, markers on the X chromosome are not used for genomic prediction in some countries and populations. In this study, we presented a method for co...

    Authors: Guosheng Su, Bernt Guldbrandtsen, Gert P Aamand, Ismo Strandén and Mogens S Lund
    Citation: Genetics Selection Evolution 2014 46:47
  17. The use of whole-genome sequence data can lead to higher accuracy in genome-wide association studies and genomic predictions. However, to benefit from whole-genome sequence data, a large dataset of sequenced i...

    Authors: Rianne van Binsbergen, Marco CAM Bink, Mario PL Calus, Fred A van Eeuwijk, Ben J Hayes, Ina Hulsegge and Roel F Veerkamp
    Citation: Genetics Selection Evolution 2014 46:41
  18. Numerous methods have been developed over the last decade to predict allelic identity at unobserved loci between pairs of chromosome segments along the genome. These loci are often unobserved positions tested ...

    Authors: Laval Jacquin, Jean-Michel Elsen and Hélène Gilbert
    Citation: Genetics Selection Evolution 2014 46:45
  19. Antimicrobial peptides (AMP) are important elements of the first line of defence against pathogens in animals. NK-lysin is a cationic AMP that plays a critical role in innate immunity. The chicken NK-lysin gene h...

    Authors: Mi Ok Lee, Ence Yang, Mireille Morisson, Alain Vignal, Yong-Zhen Huang, Hans H Cheng, William M Muir, Susan J Lamont, Hyun Soon Lillehoj, Sung Hyen Lee and James E Womack
    Citation: Genetics Selection Evolution 2014 46:43
  20. The absence of horns, called polled phenotype, is the favored trait in modern cattle husbandry. To date, polled cattle are obtained primarily by dehorning calves. Dehorning is a practice that raises animal wel...

    Authors: Sophie Rothammer, Aurélien Capitan, Erik Mullaart, Doris Seichter, Ingolf Russ and Ivica Medugorac
    Citation: Genetics Selection Evolution 2014 46:44
  21. Experience from progeny-testing indicates that the mating of popular bull sires that have high estimated breeding values with excellent dams does not guarantee the production of offspring with superior breedin...

    Authors: Dierck Segelke, Friedrich Reinhardt, Zengting Liu and Georg Thaller
    Citation: Genetics Selection Evolution 2014 46:42
  22. Estimates of dominance variance in dairy cattle based on pedigree data vary considerably across traits and amount to up to 50% of the total genetic variance for conformation traits and up to 43% for milk produ...

    Authors: Johann Ertl, Andrés Legarra, Zulma G Vitezica, Luis Varona, Christian Edel, Reiner Emmerling and Kay-Uwe Götz
    Citation: Genetics Selection Evolution 2014 46:40
  23. Social interactions often occur among living organisms, including aquatic animals. There is empirical evidence showing that social interactions may genetically affect phenotypes of individuals and their group ...

    Authors: Hooi Ling Khaw, Raul W Ponzoni and Piter Bijma
    Citation: Genetics Selection Evolution 2014 46:39
  24. “Foie gras” is produced predominantly in France and about 90% of the commercialized product is obtained from male mule ducks. The melting rate (percentage of fat released during cooking) is the main criterion ...

    Authors: Christel Marie-Etancelin, Zulma G Vitezica, Laurent Bonnal, Xavier Fernandez and Denis Bastianelli
    Citation: Genetics Selection Evolution 2014 46:38
  25. Accuracy of genomic prediction depends on number of records in the training population, heritability, effective population size, genetic architecture, and relatedness of training and validation populations. Ma...

    Authors: Kadir Kizilkaya, Rohan L Fernando and Dorian J Garrick
    Citation: Genetics Selection Evolution 2014 46:37
  26. Genomic selection estimates genetic merit based on dense SNP (single nucleotide polymorphism) genotypes and phenotypes. This requires that SNPs explain a large fraction of the genetic variance. The objectives ...

    Authors: Sergio-Iván Román-Ponce, Antonia B Samoré, Marlies A Dolezal, Alessandro Bagnato and Theo HE Meuwissen
    Citation: Genetics Selection Evolution 2014 46:36
  27. To better understand the genetic determination of udder health, we performed a genome-wide association study (GWAS) on a population of 2354 German Holstein bulls for which daughter yield deviations (DYD) for s...

    Authors: Hamdy Abdel-Shafy, Ralf H Bortfeldt, Jens Tetens and Gudrun A Brockmann
    Citation: Genetics Selection Evolution 2014 46:35
  28. Recombination events tend to occur in hotspots and vary in number among individuals. The presence of recombination influences the accuracy of haplotype phasing and the imputation of missing genotypes. Genes th...

    Authors: Zi-Qing Weng, Mahdi Saatchi, Robert D Schnabel, Jeremy F Taylor and Dorian J Garrick
    Citation: Genetics Selection Evolution 2014 46:34
  29. Feather pecking is a major welfare issue in laying hen industry that leads to mortality. Due to a ban on conventional cages in the EU and on beak trimming in some countries of the EU, feather pecking will beco...

    Authors: Tessa Brinker, Piter Bijma, Jeroen Visscher, T Bas Rodenburg and Esther D Ellen
    Citation: Genetics Selection Evolution 2014 46:33
  30. Determining an animal’s genetic merit using genomic information can improve estimated breeding value (EBV) accuracy; however, the magnitude of the accuracy improvement must be large enough to recover the costs...

    Authors: Caitlyn E Abell, Jack CM Dekkers, Max F Rothschild, John W Mabry and Kenneth J Stalder
    Citation: Genetics Selection Evolution 2014 46:32
  31. The present availability of sequence data gives new opportunities to narrow down from QTL (quantitative trait locus) regions to causative mutations. Our objective was to decrease the number of candidate causat...

    Authors: Irene van den Berg, Sébastien Fritz, Sabrina Rodriguez, Dominique Rocha, Mekki Boussaha, Mogens S Lund and Didier Boichard
    Citation: Genetics Selection Evolution 2014 46:31
  32. Since the recommendations on group housing of mink (Neovison vison) were adopted by the Council of Europe in 1999, it has become common in mink production in Europe. Group housing is advantageous from a productio...

    Authors: Setegn Worku Alemu, Piter Bijma, Steen Henrik Møller, Luc Janss and Peer Berg
    Citation: Genetics Selection Evolution 2014 46:30

    The Erratum to this article has been published in Genetics Selection Evolution 2014 46:70

  33. The maintenance of lactation in mammals is the result of a balance between competing signals from mammary development, prolactin signalling and involution pathways. Dairy cattle are an interesting case study t...

    Authors: Lesley-Ann Raven, Benjamin G Cocks, Michael E Goddard, Jennie E Pryce and Ben J Hayes
    Citation: Genetics Selection Evolution 2014 46:29
  34. Fat content and fatty acid composition in swine are becoming increasingly studied because of their effect on sensory and nutritional quality of meat. A QTL (quantitative trait locus) for fatty acid composition...

    Authors: Manuel Revilla, Yuliaxis Ramayo-Caldas, Anna Castelló, Jordi Corominas, Anna Puig-Oliveras, Noelia Ibáñez-Escriche, María Muñoz, Maria Ballester and Josep M Folch
    Citation: Genetics Selection Evolution 2014 46:28
  35. Iran is an area of particular interest for investigating goat diversity. Archaeological remains indicate early goat domestication (about 10 000 years ago) in the Iranian Zagros Mountains as well as in the high...

    Authors: Seyed Mohammad Farhad Vahidi, Ali Reza Tarang, Arif-un-Nisa Naqvi, Mohsen Falahati Anbaran, Paul Boettcher, Stephane Joost, Licia Colli, Jose Fernando Garcia and Paolo Ajmone-Marsan
    Citation: Genetics Selection Evolution 2014 46:27
  36. Improving digestive efficiency is a major goal in poultry production, to reduce production costs, make possible the use of alternative feedstuffs and decrease the volume of manure produced. Since measuring dig...

    Authors: Thanh-Son Tran, Agnès Narcy, Bernard Carré, Irène Gabriel, Nicole Rideau, Hélène Gilbert, Olivier Demeure, Bertrand Bed’Hom, Céline Chantry-Darmon, Marie-Yvonne Boscher, Denis Bastianelli, Nadine Sellier, Marie Chabault, Fanny Calenge, Elisabeth Le Bihan-Duval, Catherine Beaumont…
    Citation: Genetics Selection Evolution 2014 46:25
  37. For a two-breed crossbreeding system, Wei and van der Werf presented a model for genetic evaluation using information from both purebred and crossbred animals. The model provides breeding values for both pureb...

    Authors: Ole F Christensen, Per Madsen, Bjarne Nielsen and Guosheng Su
    Citation: Genetics Selection Evolution 2014 46:23
  38. The extent of linkage disequilibrium (LD) between molecular markers impacts genome-wide association studies and implementation of genomic selection. The availability of high-density single nucleotide polymorph...

    Authors: Laercio R Porto-Neto, James W Kijas and Antonio Reverter
    Citation: Genetics Selection Evolution 2014 46:22
  39. Signatures of selection are regions in the genome that have been preferentially increased in frequency and fixed in a population because of their functional importance in specific processes. These regions can ...

    Authors: Ana M Pérez O’Brien, Yuri T Utsunomiya, Gábor Mészáros, Derek M Bickhart, George E Liu, Curtis P Van Tassell, Tad S Sonstegard, Marcos VB Da Silva, José Fernando Garcia and Johann Sölkner
    Citation: Genetics Selection Evolution 2014 46:19
  40. Host genetics has been shown to play a role in porcine reproductive and respiratory syndrome (PRRS), which is the most economically important disease in the swine industry. A region on Sus scrofa chromosome (SSC)...

    Authors: Nicholas J Boddicker, Angelica Bjorkquist, Raymond RR Rowland, Joan K Lunney, James M Reecy and Jack CM Dekkers
    Citation: Genetics Selection Evolution 2014 46:18
  41. Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and f...

    Authors: Haroldo HR Neves, Roberto Carvalheiro, Ana M Pérez O’Brien, Yuri T Utsunomiya, Adriana S do Carmo, Flávio S Schenkel, Johann Sölkner, John C McEwan, Curtis P Van Tassell, John B Cole, Marcos VGB da Silva, Sandra A Queiroz, Tad S Sonstegard and José Fernando Garcia
    Citation: Genetics Selection Evolution 2014 46:17
  42. Identifying the relevant environmental variables that cause GxE interaction is often difficult when they cannot be experimentally manipulated. Two statistical approaches can be applied to address this question...

    Authors: Panya Sae-Lim, Hans Komen, Antti Kause and Han A Mulder
    Citation: Genetics Selection Evolution 2014 46:16

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"