Skip to main content

Articles

Page 11 of 71

  1. Heterosis has been suggested to be caused by dominance effects. We performed a joint genome-wide association analysis (GWAS) using data from multi-breed and crossbred beef cattle to identify single nucleotide ...

    Authors: Everestus C. Akanno, Liuhong Chen, Mohammed K. Abo-Ismail, John J. Crowley, Zhiquan Wang, Changxi Li, John A. Basarab, Michael D. MacNeil and Graham S. Plastow
    Citation: Genetics Selection Evolution 2018 50:48
  2. Macroparasites, such as ticks, lice, and helminths, are a concern in livestock and aquaculture production, and can be controlled by genetic improvement of the host population. Genetic improvement should aim at...

    Authors: Kasper Janssen, Hans Komen, Helmut W. Saatkamp, Mart C. M. de Jong and Piter Bijma
    Citation: Genetics Selection Evolution 2018 50:47
  3. In polytocous livestock species, litter size and offspring weight act antagonistically; in modern pig breeds, selection for increased litter size has resulted in lower mean birth weights, an increased number o...

    Authors: Stephanie M. Matheson, Grant A. Walling and Sandra A. Edwards
    Citation: Genetics Selection Evolution 2018 50:46
  4. In this paper, we review the performance of various hidden Markov model-based imputation methods in animal breeding populations. Traditionally, pedigree and heuristic-based imputation methods have been used fo...

    Authors: Andrew Whalen, Gregor Gorjanc, Roger Ros-Freixedes and John M. Hickey
    Citation: Genetics Selection Evolution 2018 50:44
  5. Runs of homozygosity (ROH) islands are stretches of homozygous sequence in the genome of a large proportion of individuals in a population. Algorithms for the detection of ROH depend on the similarity of haplo...

    Authors: Wilson Nandolo, Yuri T. Utsunomiya, Gábor Mészáros, Maria Wurzinger, Negar Khayadzadeh, Rafaela B. P. Torrecilha, Henry A. Mulindwa, Timothy N. Gondwe, Patrik Waldmann, Maja Ferenčaković, José F. Garcia, Benjamin D. Rosen, Derek Bickhart, Curt P. van Tassell, Ino Curik and Johann Sölkner
    Citation: Genetics Selection Evolution 2018 50:43
  6. Records on groups of individuals rather than on single individuals could be valuable for predicting breeding values (BV) of the traits that are difficult or costly to measure individually, such as feed intake ...

    Authors: Guosheng Su, Per Madsen, Bjarne Nielsen, Tage Ostersen, Mahmoud Shirali, Just Jensen and Ole F. Christensen
    Citation: Genetics Selection Evolution 2018 50:42
  7. Genomic models that link phenotypes to dense genotype information are increasingly being used for infering variance parameters in genetics studies. The variance parameters of these models can be inferred using...

    Authors: Beatriz C. D. Cuyabano, A. Christian Sørensen and Peter Sørensen
    Citation: Genetics Selection Evolution 2018 50:41
  8. In recent years, there has been increased interest in the study of the molecular processes that affect semen traits. In this study, our aim was to identify quantitative trait loci (QTL) regions associated with...

    Authors: Daniele B. D. Marques, John W. M. Bastiaansen, Marleen L. W. J. Broekhuijse, Marcos S. Lopes, Egbert F. Knol, Barbara Harlizius, Simone E. F. Guimarães, Fabyano F. Silva and Paulo S. Lopes
    Citation: Genetics Selection Evolution 2018 50:40
  9. A common measure employed to evaluate the efficacy of livestock improvement schemes is the genetic trend, which is calculated as the means of predicted breeding values for animals born in successive time perio...

    Authors: Karin Meyer, Bruce Tier and Andrew Swan
    Citation: Genetics Selection Evolution 2018 50:39
  10. Cannibalism is an important welfare problem in the layer industry. Cannibalism is a social behavior where individual survival is affected by direct genetic effects (DGE) and indirect genetic effects (IGE). Pre...

    Authors: Tessa Brinker, Piter Bijma, Addie Vereijken and Esther D. Ellen
    Citation: Genetics Selection Evolution 2018 50:38
  11. The origin of native and locally developed Russian cattle breeds is linked to the historical, social, cultural, and climatic features of the diverse geographical regions of Russia. In the present study, we inv...

    Authors: Alexander A. Sermyagin, Arsen V. Dotsev, Elena A. Gladyr, Alexey A. Traspov, Tatiana E. Deniskova, Olga V. Kostyunina, Henry Reyer, Klaus Wimmers, Mario Barbato, Ivan A. Paronyan, Kirill V. Plemyashov, Johann Sölkner, Ruslan G. Popov, Gottfried Brem and Natalia A. Zinovieva
    Citation: Genetics Selection Evolution 2018 50:37
  12. It has been known for almost a century that the belted phenotype in cattle follows a pattern of dominant inheritance. In 2009, the approximate position of the belt locus in Brown Swiss cattle was mapped to a 922-...

    Authors: Sophie Rothammer, Elisabeth Kunz, Stefan Krebs, Fanny Bitzer, Andreas Hauser, Natalia Zinovieva, Nikolai Klymiuk and Ivica Medugorac
    Citation: Genetics Selection Evolution 2018 50:36
  13. In the last 50 years, the diversity of cattle breeds has experienced a severe contraction. However, in spite of the growing diffusion of cosmopolite specialized breeds, several local cattle breeds are still fa...

    Authors: Salvatore Mastrangelo, Elena Ciani, Paolo Ajmone Marsan, Alessandro Bagnato, Luca Battaglini, Riccardo Bozzi, Antonello Carta, Gennaro Catillo, Martino Cassandro, Sara Casu, Roberta Ciampolini, Paola Crepaldi, Mariasilvia D’Andrea, Rosalia Di Gerlando, Luca Fontanesi, Maria Longeri…
    Citation: Genetics Selection Evolution 2018 50:35
  14. High levels of pairwise linkage disequilibrium (LD) in single nucleotide polymorphism (SNP) array or whole-genome sequence data may affect both performance and efficiency of genomic prediction models. Thus, th...

    Authors: Mario P. L. Calus and Jérémie Vandenplas
    Citation: Genetics Selection Evolution 2018 50:34
  15. This study aimed at (1) deriving Bayesian methods to predict breeding values for ratio (i.e. feed conversion ratio; FCR) or linear (i.e. residual feed intake; RFI) traits; (2) estimating genetic parameters for...

    Authors: Mahmoud Shirali, Patrick Francis Varley and Just Jensen
    Citation: Genetics Selection Evolution 2018 50:33
  16. Population stratification and cryptic relationships have been the main sources of excessive false-positives and false-negatives in population-based association studies. Many methods have been developed to mode...

    Authors: Ali Toosi, Rohan L. Fernando and Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2018 50:32
  17. In 2017, genomic selection was implemented in French dairy goats using the single-step genomic best linear unbiased prediction (ssGBLUP) method, which assumes that all single nucleotide polymorphisms explain t...

    Authors: Marc Teissier, Hélène Larroque and Christèle Robert-Granié
    Citation: Genetics Selection Evolution 2018 50:31
  18. European sea bass (Dicentrarchus labrax) is one of the most important species for European aquaculture. Viral nervous necrosis (VNN), commonly caused by the redspotted grouper nervous necrosis virus (RGNNV), can ...

    Authors: Christos Palaiokostas, Sophie Cariou, Anastasia Bestin, Jean-Sebastien Bruant, Pierrick Haffray, Thierry Morin, Joëlle Cabon, François Allal, Marc Vandeputte and Ross D. Houston
    Citation: Genetics Selection Evolution 2018 50:30
  19. Russia has a diverse variety of native and locally developed sheep breeds with coarse, fine, and semi-fine wool, which inhabit different climate zones and landscapes that range from hot deserts to harsh northe...

    Authors: Tatiana E. Deniskova, Arsen V. Dotsev, Marina I. Selionova, Elisabeth Kunz, Ivica Medugorac, Henry Reyer, Klaus Wimmers, Mario Barbato, Alexei A. Traspov, Gottfried Brem and Natalia A. Zinovieva
    Citation: Genetics Selection Evolution 2018 50:29
  20. In horned sheep breeds, breeding for polledness has been of interest for decades. The objective of this study was to improve prediction of the horned and polled phenotypes using horn scores classified as polle...

    Authors: Naomi Duijvesteijn, Sunduimijid Bolormaa, Hans D. Daetwyler and Julius H. J. van der Werf
    Citation: Genetics Selection Evolution 2018 50:28
  21. Genomic prediction (GP) across breeds has so far resulted in low accuracies of the predicted genomic breeding values. Our objective was to evaluate whether using whole-genome sequence (WGS) instead of low-dens...

    Authors: Biaty Raymond, Aniek C. Bouwman, Chris Schrooten, Jeanine Houwing-Duistermaat and Roel F. Veerkamp
    Citation: Genetics Selection Evolution 2018 50:27
  22. Parentage assignment is usually based on a limited number of unlinked, independent genomic markers (microsatellites, low-density single nucleotide polymorphisms (SNPs), etc.). Classical methods for parentage a...

    Authors: Kim E. Grashei, Jørgen Ødegård and Theo H. E. Meuwissen
    Citation: Genetics Selection Evolution 2018 50:26
  23. Indirect genetic effects (IGE) are important components of various traits in several species. Although the intensity of social interactions between partners likely vary over time, very few genetic studies have...

    Authors: Ingrid David, Juan-Pablo Sánchez and Miriam Piles
    Citation: Genetics Selection Evolution 2018 50:25
  24. Optimal contributions selection (OCS) provides animal breeders with a framework for maximising genetic gain for a predefined rate of inbreeding. Simulation studies have indicated that the source of the selecti...

    Authors: David M. Howard, Ricardo Pong-Wong, Pieter W. Knap, Valentin D. Kremer and John A. Woolliams
    Citation: Genetics Selection Evolution 2018 50:24
  25. The replacement of fish oil (FO) and fishmeal with plant ingredients in the diet of farmed Atlantic salmon has resulted in reduced levels of the health-promoting long-chain polyunsaturated omega-3 fatty acids ...

    Authors: Siri S. Horn, Bente Ruyter, Theo H. E. Meuwissen, Borghild Hillestad and Anna K. Sonesson
    Citation: Genetics Selection Evolution 2018 50:23
  26. This study aimed at (1) assessing the genomic stratification of experimental lines of Nelore cattle that have experienced different selection regimes for growth traits, and (2) identifying genomic regions that...

    Authors: Diercles F. Cardoso, Lucia Galvão de Albuquerque, Christian Reimer, Saber Qanbari, Malena Erbe, André V. do Nascimento, Guilherme C. Venturini, Daiane C. Becker Scalez, Fernando Baldi, Gregório M. Ferreira de Camargo, Maria E. Zerlotti Mercadante, Joslaine N. do Santos Gonçalves Cyrillo, Henner Simianer and Humberto Tonhati
    Citation: Genetics Selection Evolution 2018 50:22
  27. Avian influenza (AI) is a devastating poultry disease that currently can be controlled only by liquidation of affected flocks. In spite of typically very high mortality rates, a group of survivors was identifi...

    Authors: Anna Wolc, Wioleta Drobik-Czwarno, Janet E. Fulton, Jesus Arango, Tomasz Jankowski and Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2018 50:21
  28. mRNA-like long non-coding RNAs (lncRNAs) are a significant component of mammalian transcriptomes, although most are expressed only at low levels, with high tissue-specificity and/or at specific developmental s...

    Authors: Stephen J. Bush, Charity Muriuki, Mary E. B. McCulloch, Iseabail L. Farquhar, Emily L. Clark and David A. Hume
    Citation: Genetics Selection Evolution 2018 50:20
  29. The distribution of the wild turkey (Meleagris gallopavo) extends from Mexico to southeastern Canada and to the eastern and southern regions of the USA. Six subspecies have been described based on morphological c...

    Authors: Gabriela Padilla-Jacobo, Horacio Cano-Camacho, Rigoberto López-Zavala, María E. Cornejo-Pérez and María G. Zavala-Páramo
    Citation: Genetics Selection Evolution 2018 50:19
  30. Genome editing technologies provide new tools for genetic improvement and have the potential to become the next game changer in animal and plant breeding. The aim of this study was to investigate how genome ed...

    Authors: John W. M. Bastiaansen, Henk Bovenhuis, Martien A. M. Groenen, Hendrik-Jan Megens and Han A. Mulder
    Citation: Genetics Selection Evolution 2018 50:18
  31. Deleterious genetic variation can increase in frequency as a result of mutations, genetic drift, and genetic hitchhiking. Although individual effects are often small, the cumulative effect of deleterious genet...

    Authors: Martijn F. L. Derks, Hendrik-Jan Megens, Mirte Bosse, Jeroen Visscher, Katrijn Peeters, Marco C. A. M. Bink, Addie Vereijken, Christian Gross, Dick de Ridder, Marcel J. T. Reinders and Martien A. M. Groenen
    Citation: Genetics Selection Evolution 2018 50:17
  32. In recent decades, Holstein–Friesian (HF) selection schemes have undergone profound changes, including the introduction of optimal contribution selection (OCS; around 2000), a major shift in breeding goal comp...

    Authors: Harmen P. Doekes, Roel F. Veerkamp, Piter Bijma, Sipke J. Hiemstra and Jack J. Windig
    Citation: Genetics Selection Evolution 2018 50:15
  33. Increasing marker density was proposed to have potential to improve the accuracy of genomic prediction for quantitative traits; whole-sequence data is expected to give the best accuracy of prediction, since al...

    Authors: Chunyan Zhang, Robert Alan Kemp, Paul Stothard, Zhiquan Wang, Nicholas Boddicker, Kirill Krivushin, Jack Dekkers and Graham Plastow
    Citation: Genetics Selection Evolution 2018 50:14
  34. Domestication of animals leads to large phenotypic alterations within a short evolutionary time-period. Such alterations are caused by genomic variations, yet the prevalence of modified traits is higher than e...

    Authors: Johan Bélteky, Beatrix Agnvall, Lejla Bektic, Andrey Höglund, Per Jensen and Carlos Guerrero-Bosagna
    Citation: Genetics Selection Evolution 2018 50:13
  35. Pseudo-phenotypes, such as 305-day yields, estimated breeding values or deregressed proofs, are usually used as response variables for genome-wide association studies (GWAS) of milk production traits in dairy ...

    Authors: Chao Ning, Dan Wang, Xianrui Zheng, Qin Zhang, Shengli Zhang, Raphael Mrode and Jian-Feng Liu
    Citation: Genetics Selection Evolution 2018 50:12
  36. Heat stress has a negative impact on pork production, particularly during the grow-finish phase. As temperature increases, feeding behaviour changes in order for pigs to decrease heat production. The objective...

    Authors: Amanda J. Cross, Brittney N. Keel, Tami M. Brown-Brandl, Joseph P. Cassady and Gary A. Rohrer
    Citation: Genetics Selection Evolution 2018 50:11
  37. Genomic prediction and quantitative trait loci (QTL) mapping typically analyze one trait at a time but this may ignore the possibility that one polymorphism affects multiple traits. The aim of this study was t...

    Authors: Kathryn E. Kemper, Philip J. Bowman, Benjamin J. Hayes, Peter M. Visscher and Michael E. Goddard
    Citation: Genetics Selection Evolution 2018 50:10
  38. The current large spectrum of sheep phenotypic diversity results from the combined product of sheep selection for different production traits such as wool, milk and meat, and its natural adaptation to new envi...

    Authors: Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo and Andone Estonba
    Citation: Genetics Selection Evolution 2018 50:9
  39. Sex-linked slow (SF) and fast (FF) feathering rates at hatch have been widely used in poultry breeding for autosexing at hatch. In chicken, the sex-linked K (SF) and k+ (FF) alleles are responsible for the feathe...

    Authors: Martijn F. L. Derks, Juan M. Herrero-Medrano, Richard P. M. A. Crooijmans, Addie Vereijken, Julie A. Long, Hendrik-Jan Megens and Martien A. M. Groenen
    Citation: Genetics Selection Evolution 2018 50:7
  40. For marker effect models and genomic animal models, computational requirements increase with the number of loci and the number of genotyped individuals, respectively. In the latter case, the inverse genomic re...

    Authors: Jørgen Ødegård, Ulf Indahl, Ismo Strandén and Theo H. E. Meuwissen
    Citation: Genetics Selection Evolution 2018 50:6
  41. Throughout the world, harvesting of mussels Mytilus spp. is based on the exploitation of natural populations and aquaculture. Aquaculture activities include transfers of spat and live adult mussels between variou...

    Authors: Małgorzata Zbawicka, María I. Trucco and Roman Wenne
    Citation: Genetics Selection Evolution 2018 50:5
  42. Genomic prediction of the pig’s response to the porcine reproductive and respiratory syndrome (PRRS) virus (PRRSV) would be a useful tool in the swine industry. This study investigated the accuracy of genomic ...

    Authors: Emily H. Waide, Christopher K. Tuggle, Nick V. L. Serão, Martine Schroyen, Andrew Hess, Raymond R. R. Rowland, Joan K. Lunney, Graham Plastow and Jack C. M. Dekkers
    Citation: Genetics Selection Evolution 2018 50:3
  43. Profitability of breeding programs is a key determinant in the adoption of selective breeding, and can be evaluated using cost-benefit analysis. There are many options to design breeding programs, with or with...

    Authors: Kasper Janssen, Helmut Saatkamp and Hans Komen
    Citation: Genetics Selection Evolution 2018 50:2
  44. The quantitative genetics theory argues that inbreeding depression and heterosis are founded on the existence of directional dominance. However, most procedures for genomic selection that have included dominan...

    Authors: Luis Varona, Andrés Legarra, William Herring and Zulma G. Vitezica
    Citation: Genetics Selection Evolution 2018 50:1
  45. After publication of our article [1], we found a typo in the formula to build the genomic relationship matrix using allele frequencies across all genotyped pigs (matrix) and the genomic relationship matrix usi...

    Authors: Claudia A. Sevillano, Jeremie Vandenplas, John W. M. Bastiaansen, Rob Bergsma and Mario P. L. Calus
    Citation: Genetics Selection Evolution 2017 49:93

    The original article was published in Genetics Selection Evolution 2017 49:75

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"