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  1. Canarian Black (CB) pigs belong to an autochthonous and endangered breed, which is spread throughout the Canarian archipelago. It is commonly accepted that they represent a relic of the pig populations that we...

    Authors: Iñigo Olalde, Juan Capote, María C Del-Arco, Pablo Atoche, Teresa Delgado, Rafael González-Anton, Jorge Pais, Marcel Amills, Carles Lalueza-Fox and Oscar Ramírez
    Citation: Genetics Selection Evolution 2015 47:40
  2. Native populations of Atlantic salmon in Poland, from the southern Baltic region, became extinct in the 1980s. Attempts to restitute salmon populations in Poland have been based on a Latvian salmon population ...

    Authors: Anita Poćwierz-Kotus, Rafał Bernaś, Matthew P Kent, Sigbjørn Lien, Egidijus Leliűna, Piotr Dębowski and Roman Wenne
    Citation: Genetics Selection Evolution 2015 47:39
  3. Since 2010, four Charolais calves with a congenital mechanobullous skin disorder that were born in the same herd from consanguineous matings were reported to us. Clinical and histopathological examination reve...

    Authors: Pauline Michot, Oscar Fantini, Régis Braque, Aurélie Allais-Bonnet, Romain Saintilan, Cécile Grohs, Johanna Barbieri, Lucie Genestout, Coralie Danchin-Burge, Jean-Marie Gourreau, Didier Boichard, Didier Pin and Aurélien Capitan
    Citation: Genetics Selection Evolution 2015 47:37
  4. Modern dairy cattle breeding goals include several production and more and more functional traits. Estimated breeding values (EBV) that are combined in the total merit index usually come from single-trait mode...

    Authors: Christina Pfeiffer, Birgit Fuerst-Waltl, Hermann Schwarzenbacher, Franz Steininger and Christian Fuerst
    Citation: Genetics Selection Evolution 2015 47:36
  5. This is the first study based on a genome-wide association approach that investigates the links between ovine footrot scores and molecular polymorphisms in Texel sheep using the ovine 50 K SNP array (42 883 SN...

    Authors: Sebastian Mucha, Lutz Bunger and Joanne Conington
    Citation: Genetics Selection Evolution 2015 47:35
  6. Genomic prediction of breeding values from dense single nucleotide polymorphisms (SNP) genotypes is used for livestock and crop breeding, and can also be used to predict disease risk in humans. For some traits...

    Authors: Tingting Wang, Yi-Ping Phoebe Chen, Michael E Goddard, Theo HE Meuwissen, Kathryn E Kemper and Ben J Hayes
    Citation: Genetics Selection Evolution 2015 47:34
  7. Nelore and Gir are the two most important indicine cattle breeds for production of beef and milk in Brazil. Historical records state that these breeds were introduced in Brazil from the Indian subcontinent, cr...

    Authors: Ana M Perez O’Brien, Daniela Höller, Solomon A Boison, Marco Milanesi, Lorenzo Bomba, Yuri T Utsunomiya, Roberto Carvalheiro, Haroldo HR Neves, Marcos VB da Silva, Curtis P VanTassell, Tad S Sonstegard, Gábor Mészáros, Paolo Ajmone-Marsan, Fernando Garcia and Johann Sölkner
    Citation: Genetics Selection Evolution 2015 47:31
  8. High-density genomic data is often analyzed by combining information over windows of adjacent markers. Interpretation of data grouped in windows versus at individual locations may increase statistical power, s...

    Authors: Timothy M Beissinger, Guilherme JM Rosa, Shawn M Kaeppler, Daniel Gianola and Natalia de Leon
    Citation: Genetics Selection Evolution 2015 47:30
  9. Genomic selection is increasingly widely practised, particularly in dairy cattle. However, the accuracy of current predictions using GBLUP (genomic best linear unbiased prediction) decays rapidly across genera...

    Authors: Kathryn E Kemper, Coralie M Reich, Philip J Bowman, Christy J vander Jagt, Amanda J Chamberlain, Brett A Mason, Benjamin J Hayes and Michael E Goddard
    Citation: Genetics Selection Evolution 2015 47:29
  10. Seven donkey breeds are recognized by the French studbook and are characterized by a black, bay or grey coat colour including light cream-to-white points (LP). Occasionally, Normand bay donkeys give birth to d...

    Authors: Marie Abitbol, Romain Legrand and Laurent Tiret
    Citation: Genetics Selection Evolution 2015 47:28
  11. The development of a reliable method to predict heterosis would greatly improve the efficiency of commercial crossbreeding schemes. Extending heterosis prediction from the line level to the individual sire lev...

    Authors: Esinam N Amuzu-Aweh, Henk Bovenhuis, Dirk-Jan de Koning and Piter Bijma
    Citation: Genetics Selection Evolution 2015 47:27
  12. A better understanding of non-additive variance could lead to increased knowledge on the genetic control and physiology of quantitative traits, and to improved prediction of the genetic value and phenotype of ...

    Authors: Sunduimijid Bolormaa, Jennie E Pryce, Yuandan Zhang, Antonio Reverter, William Barendse, Ben J Hayes and Michael E Goddard
    Citation: Genetics Selection Evolution 2015 47:26
  13. A number of methods are available to scan a genome for selection signatures by evaluating patterns of diversity within and between breeds. Among these, “extended haplotype homozygosity” (EHH) is a reliable app...

    Authors: Lorenzo Bomba, Ezequiel L Nicolazzi, Marco Milanesi, Riccardo Negrini, Giordano Mancini, Filippo Biscarini, Alessandra Stella, Alessio Valentini and Paolo Ajmone-Marsan
    Citation: Genetics Selection Evolution 2015 47:25
  14. Genomic BLUP (GBLUP) can predict breeding values for non-phenotyped individuals based on the identity-by-state genomic relationship matrix (G). The G matrix can be constructed from thousands of markers spread acr...

    Authors: Francesco Tiezzi and Christian Maltecca
    Citation: Genetics Selection Evolution 2015 47:24
  15. While several studies have examined the accuracy of direct genomic breeding values (DGV) within and across purebred cattle populations, the accuracy of DGV in crossbred or multi-breed cattle populations has be...

    Authors: Megan M Rolf, Dorian J Garrick, Tara Fountain, Holly R Ramey, Robert L Weaber, Jared E Decker, E John Pollak, Robert D Schnabel and Jeremy F Taylor
    Citation: Genetics Selection Evolution 2015 47:23
  16. Recently, artificial neural networks (ANN) have been proposed as promising machines for marker-based genomic predictions of complex traits in animal and plant breeding. ANN are universal approximators of compl...

    Authors: Anita Ehret, David Hochstuhl, Daniel Gianola and Georg Thaller
    Citation: Genetics Selection Evolution 2015 47:22
  17. We tested the hypothesis that optimum-contribution selection (OCS) with restrictions imposed during optimisation realises most of the long-term genetic gain realised by OCS without restrictions.

    Authors: Mark Henryon, Tage Ostersen, Birgitte Ask, Anders C Sørensen and Peer Berg
    Citation: Genetics Selection Evolution 2015 47:21
  18. In previous studies on an Iberian x Landrace cross, we have provided evidence that supported the porcine ELOVL6 gene as the major causative gene of the QTL on pig chromosome 8 for palmitic and palmitoleic acid co...

    Authors: Jordi Corominas, Jorge AP Marchesi, Anna Puig-Oliveras, Manuel Revilla, Jordi Estellé, Estefânia Alves, Josep M Folch and Maria Ballester
    Citation: Genetics Selection Evolution 2015 47:20
  19. The short-term impact of using different genomic prediction (GP) models in genomic selection has been intensively studied, but their long-term impact is poorly understood. Furthermore, long-term genetic gain o...

    Authors: Huiming Liu, Theo HE Meuwissen, Anders C Sørensen and Peer Berg
    Citation: Genetics Selection Evolution 2015 47:19
  20. Cryptorchidism and scrotal/inguinal hernia are the most frequent congenital defects in pigs. Identification of genomic regions that control these congenital defects is of great interest to breeding programs, b...

    Authors: Claudia A Sevillano, Marcos S Lopes, Barbara Harlizius, Egiel HAT Hanenberg, Egbert F Knol and John WM Bastiaansen
    Citation: Genetics Selection Evolution 2015 47:18
  21. Recently, genome-wide association studies (GWAS) have been reported on various pig traits. We performed a GWAS to analyze 22 traits related to growth and fatness on two pig populations: a White Duroc × Erhuali...

    Authors: Ruimin Qiao, Jun Gao, Zhiyan Zhang, Lin Li, Xianhua Xie, Yin Fan, Leilei Cui, Junwu Ma, Huashui Ai, Jun Ren and Lusheng Huang
    Citation: Genetics Selection Evolution 2015 47:17
  22. In livestock production, many animals are crossbred, with two distinct advantages: heterosis and breed complementarity. Genomic selection (GS) can be used to select purebred parental lines for crossbred perfor...

    Authors: Hadi Esfandyari, Anders C Sørensen and Piter Bijma
    Citation: Genetics Selection Evolution 2015 47:16
  23. Beef cattle require dietary minerals for optimal health, production and reproduction. Concentrations of minerals in tissues are at least partly genetically determined. Mapping genomic regions that affect the m...

    Authors: Polyana C Tizioto, Jeremy F Taylor, Jared E Decker, Caio F Gromboni, Mauricio A Mudadu, Robert D Schnabel, Luiz L Coutinho, Gerson B Mourão, Priscila SN Oliveira, Marcela M Souza, James M Reecy, Renata T Nassu, Flavia A Bressani, Patricia Tholon, Tad S Sonstegard, Mauricio M Alencar…
    Citation: Genetics Selection Evolution 2015 47:15
  24. The reliability of whole-genome prediction models (WGP) based on using high-density single nucleotide polymorphism (SNP) panels critically depends on proper specification of key hyperparameters. A currently po...

    Authors: Wenzhao Yang, Chunyu Chen and Robert J Tempelman
    Citation: Genetics Selection Evolution 2015 47:13
  25. Next-generation sequencing techniques, such as genotyping-by-sequencing (GBS), provide alternatives to single nucleotide polymorphism (SNP) arrays. The aim of this work was to evaluate the potential of GBS com...

    Authors: Gregor Gorjanc, Matthew A Cleveland, Ross D Houston and John M Hickey
    Citation: Genetics Selection Evolution 2015 47:12
  26. Both genome-wide association (GWA) studies and genomic selection depend on the level of non-random association of alleles at different loci, i.e. linkage disequilibrium (LD), across the genome. Therefore, char...

    Authors: Weixuan Fu, Jack CM Dekkers, William R Lee and Behnam Abasht
    Citation: Genetics Selection Evolution 2015 47:11
  27. GBLUP (genomic best linear unbiased prediction) uses high-density single nucleotide polymorphism (SNP) markers to construct genomic identity-by-state (IBS) relationship matrices. However, identity-by-descent (...

    Authors: Sergio Vela-Avitúa, Theo HE Meuwissen, Tu Luan and Jørgen Ødegård
    Citation: Genetics Selection Evolution 2015 47:9
  28. We conducted a genome-wide linkage analysis to identify quantitative trait loci (QTL) that influence meat quality-related traits in a large F2 intercross between Landrace and Korean native pigs. Thirteen meat qua...

    Authors: In-Cheol Cho, Chae-Kyoung Yoo, Jae-Bong Lee, Eun-Ji Jung, Sang-Hyun Han, Sung-Soo Lee, Moon-Suck Ko, Hyun-Tae Lim and Hee-Bok Park
    Citation: Genetics Selection Evolution 2015 47:7
  29. With dense genotyping, many choices exist for methods to detect quantitative trait loci (QTL) in livestock populations. However, no across-species study has been conducted on the performance of different metho...

    Authors: Andres Legarra, Pascal Croiseau, Marie Pierre Sanchez, Simon Teyssèdre, Guillaume Sallé, Sophie Allais, Sébastien Fritz, Carole Rénée Moreno, Anne Ricard and Jean-Michel Elsen
    Citation: Genetics Selection Evolution 2015 47:6
  30. Differences in linkage disequilibrium and in allele substitution effects of QTL (quantitative trait loci) may hinder genomic prediction across populations. Our objective was to develop a deterministic formula ...

    Authors: Yvonne CJ Wientjes, Roel F Veerkamp, Piter Bijma, Henk Bovenhuis, Chris Schrooten and Mario PL Calus
    Citation: Genetics Selection Evolution 2015 47:5
  31. SNP (single nucleotide polymorphisms) genotype data are increasingly available in cattle populations and, among other things, can be used to predict carriers of specific haplotypes. It is therefore convenient ...

    Authors: Stefano Biffani, Corrado Dimauro, Nicolò Macciotta, Attilio Rossoni, Alessandra Stella and Filippo Biscarini
    Citation: Genetics Selection Evolution 2015 47:4
  32. Parentage control is moving from short tandem repeats- to single nucleotide polymorphism (SNP) systems. For SNP-based parentage control in cattle, the ISAG-ICAR Committee proposes a set of 100/200 SNPs but qua...

    Authors: Ekkehard Schütz and Bertram Brenig
    Citation: Genetics Selection Evolution 2015 47:3
  33. Farm animals are normally selected under highly controlled, non-limiting conditions to favour the expression of their genetic potential. Selection strategies can also focus on a single trait to favour the most...

    Authors: Davi Savietto, Nicolas C Friggens and Juan José Pascual
    Citation: Genetics Selection Evolution 2015 47:2
  34. The current availability of genotypes for very large numbers of single nucleotide polymorphisms (SNPs) is leading to more accurate estimates of inbreeding coefficients and more detailed approaches for detectin...

    Authors: María Saura, Almudena Fernández, Luis Varona, Ana I Fernández, Maria Ángeles R de Cara, Carmen Barragán and Beatriz Villanueva
    Citation: Genetics Selection Evolution 2015 47:1
  35. In developing dairy sectors, genetic improvement programs have limited resources and recording of herds is minimal. This study evaluated different methods to estimate lactation yield and sampling schedules wit...

    Authors: David M McGill, Peter C Thomson, Herman A Mulder and Jan J Lievaart
    Citation: Genetics Selection Evolution 2014 46:78
  36. Infection of livestock with bovine tuberculosis (bTB; Mycobacterium bovis) is of major economical concern in many countries; approximately 15 000 to 20 000 cattle are infected per year in Ireland. The objective o...

    Authors: Ian W Richardson, Dan G Bradley, Isabella M Higgins, Simon J More, Jennifer McClure and Donagh P Berry
    Citation: Genetics Selection Evolution 2014 46:77
  37. Inbreeding reduces the fitness of individuals by increasing the frequency of homozygous deleterious recessive alleles. Some insight into the genetic architecture of fitness, and other complex traits, can be ga...

    Authors: Jennie E Pryce, Mekonnen Haile-Mariam, Michael E Goddard and Ben J Hayes
    Citation: Genetics Selection Evolution 2014 46:71
  38. Most studies on genomic prediction with reference populations that include multiple lines or breeds have used linear models. Data heterogeneity due to using multiple populations may conflict with model assumpt...

    Authors: Heyun Huang, Jack J Windig, Addie Vereijken and Mario PL Calus
    Citation: Genetics Selection Evolution 2014 46:75
  39. Genomic prediction faces two main statistical problems: multicollinearity and np (many fewer observations than predictor variables). Principal component (PC) analysis is a multivariate statistical method that ...

    Authors: Christos Dadousis, Roel F Veerkamp, Bjørg Heringstad, Marcin Pszczola and Mario PL Calus
    Citation: Genetics Selection Evolution 2014 46:60
  40. In pig, limb bone length influences ham yield and body height to a great extent and has important economic implications for pig industry. In this study, an intercross population was constructed between the ind...

    Authors: Long-Chao Zhang, Na Li, Xin Liu, Jing Liang, Hua Yan, Ke-Bin Zhao, Lei Pu, Hui-Bi Shi, Yue-Bo Zhang, Li-Gang Wang and Li-Xian Wang
    Citation: Genetics Selection Evolution 2014 46:56
  41. All progeny-tested bucks from the two main French dairy goat breeds (Alpine and Saanen) were genotyped with the Illumina goat SNP50 BeadChip. The reference population consisted of 677 bucks and 148 selection c...

    Authors: Céline Carillier, Hélène Larroque and Christèle Robert-Granié
    Citation: Genetics Selection Evolution 2014 46:67

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