Skip to main content

Articles

Page 22 of 71

  1. An (Awassi × Merino) × Merino single-sire backcross family with 165 male offspring was used to map quantitative trait loci (QTL) for body composition traits on a framework map of 189 microsatellite loci across...

    Authors: Colin R Cavanagh, Elisabeth Jonas, Matthew Hobbs, Peter C Thomson, Imke Tammen and Herman W Raadsma
    Citation: Genetics Selection Evolution 2010 42:36
  2. Simulation and empirical studies of genomic selection (GS) show accuracies sufficient to generate rapid gains in early selection cycles. Beyond those cycles, allele frequency changes, recombination, and inbree...

    Authors: Jean-Luc Jannink
    Citation: Genetics Selection Evolution 2010 42:35
  3. Repeated blocks of genome sequence have been shown to be associated with genetic diversity and disease risk in humans, and with phenotypic diversity in model organisms and domestic animals. Reliable tests are ...

    Authors: John M Henshall, Vicki A Whan and Belinda J Norris
    Citation: Genetics Selection Evolution 2010 42:34
  4. Microsatellites surrounding functionally important candidate genes or quantitative trait loci have received attention as proxy measures of polymorphism level at the candidate loci themselves. In cattle, select...

    Authors: Meng-Hua Li, Terhi Iso-Touru, Hannele Laurén and Juha Kantanen
    Citation: Genetics Selection Evolution 2010 42:32
  5. QTL affecting fat deposition related performance traits have been considered in several studies and mapped on numerous porcine chromosomes. However, activity of specific enzymes, protein content and cell struc...

    Authors: Hermann Geldermann, Stanislav Čepica, Antonin Stratil, Heinz Bartenschlager and Siegfried Preuss
    Citation: Genetics Selection Evolution 2010 42:31
  6. Somatic cell score (SCS) has been promoted as a selection criterion to improve mastitis resistance. However, SCS from healthy and infected animals may be considered as separate traits. Moreover, imperfect sens...

    Authors: Valentina Riggio, Baldassare Portolano, Henk Bovenhuis and Stephen C Bishop
    Citation: Genetics Selection Evolution 2010 42:30
  7. In the genetic analysis of binary traits with one observation per animal, animal threshold models frequently give biased heritability estimates. In some cases, this problem can be circumvented by fitting sire-...

    Authors: Jørgen Ødegård, Theo HE Meuwissen, Bjørg Heringstad and Per Madsen
    Citation: Genetics Selection Evolution 2010 42:29
  8. Yakutian cattle, the last remaining native cattle breed in Siberia, are well adapted to the extreme sub-arctic conditions. Nowadays only ca. 1200 purebred animals are left in Yakutia. The semen of six Yakutian bu...

    Authors: Ilma Tapio, Miika Tapio, Meng-Hua Li, Ruslan Popov, Zoya Ivanova and Juha Kantanen
    Citation: Genetics Selection Evolution 2010 42:28
  9. Mortality due to cannibalism in laying hens is a difficult trait to improve genetically, because censoring is high (animals still alive at the end of the testing period) and it may depend on both the individua...

    Authors: Esther D Ellen, Vincent Ducrocq, Bart J Ducro, Roel F Veerkamp and Piter Bijma
    Citation: Genetics Selection Evolution 2010 42:27
  10. The distribution of residual effects in linear mixed models in animal breeding applications is typically assumed normal, which makes inferences vulnerable to outlier observations. In order to mute the impact o...

    Authors: Kadir Kizilkaya, Dorian J Garrick, Rohan L Fernando, Burcu Mestav and Mehmet A Yildiz
    Citation: Genetics Selection Evolution 2010 42:26
  11. Feed cost constitutes about 70% of the cost of raising broilers, but the efficiency of feed utilization has not kept up the growth potential of today's broilers. Improvement in feed efficiency would reduce the...

    Authors: Samuel E Aggrey, Arthur B Karnuah, Bram Sebastian and Nicholas B Anthony
    Citation: Genetics Selection Evolution 2010 42:25
  12. The aim of this work was to study the effects on litter size of variants of the porcine genes RBP4, ESR1 and IGF2, currently used in genetic tests for different purposes. Moreover, we investigated a possible effe...

    Authors: María Muñoz, Ana Isabel Fernández, Cristina Óvilo, Gloria Muñoz, Carmen Rodriguez, Almudena Fernández, Estefânia Alves and Luis Silió
    Citation: Genetics Selection Evolution 2010 42:23
  13. In the analysis of complex traits, genetic effects can be confounded with non-genetic effects, especially when using full-sib families. Dominance and epistatic effects are typically confounded with additive ge...

    Authors: Sang Hong Lee, Michael E Goddard, Peter M Visscher and Julius HJ van der Werf
    Citation: Genetics Selection Evolution 2010 42:22
  14. Information for mapping of quantitative trait loci (QTL) comes from two sources: linkage disequilibrium (non-random association of allele states) and cosegregation (non-random association of allele origin). In...

    Authors: Wei He, Rohan L Fernando, Jack CM Dekkers and Helene Gilbert
    Citation: Genetics Selection Evolution 2010 42:21
  15. It has been argued that multibreed animal models should include a heterogeneous covariance structure. However, the estimation of the (co)variance components is not an easy task, because these parameters can no...

    Authors: Sebastián Munilla Leguizamón and Rodolfo JC Cantet
    Citation: Genetics Selection Evolution 2010 42:20
  16. In this study, we used different animal models to estimate genetic and environmental variance components on harvest weight in two populations of Oncorhynchus kisutch, forming two classes i.e. odd- and even-year s...

    Authors: José A Gallardo, Jean P Lhorente and Roberto Neira
    Citation: Genetics Selection Evolution 2010 42:19
  17. Decisions to initiate conservation programmes need to account for extant variability, diversity loss and cultural and economic aspects. Molecular markers were used to investigate if putative Algarvia animals c...

    Authors: Catarina Ginja, Maria CT Penedo, Maria F Sobral, José Matos, Carla Borges, Dina Neves, Teresa Rangel-Figueiredo and Alfredo Cravador
    Citation: Genetics Selection Evolution 2010 42:18
  18. Detecting a QTL is only the first step in genetic improvement programs. When a QTL with desirable characteristics is found, e.g. in a wild or unimproved population, it may be interesting to introgress the dete...

    Authors: M Hossein Yazdi, Anna K Sonesson, John A Woolliams and Theodorus HE Meuwissen
    Citation: Genetics Selection Evolution 2010 42:16
  19. Since 2002, active surveillance programmes have detected numerous atypical scrapie (AS) and classical scrapie cases (CS) in French sheep with almost all the PrP genotypes. The aim of this study was 1) to quant...

    Authors: Alexandre Fediaevsky, Didier Calavas, Patrick Gasqui, Katayoun Moazami-Goudarzi, Pascal Laurent, Jean-Noël Arsac, Christian Ducrot and Carole Moreno
    Citation: Genetics Selection Evolution 2010 42:14
  20. Using conventional measurements of lifetime, it is not possible to differentiate between productive and non-productive days during a sow's lifetime and this can lead to estimated breeding values favoring less ...

    Authors: Gábor Mészáros, Judit Pálos, Vincent Ducrocq and Johann Sölkner
    Citation: Genetics Selection Evolution 2010 42:13
  21. Salmonellosis is a frequent disease in poultry stocks, caused by several serotypes of the bacterial species Salmonella enterica and sometimes transmitted to humans through the consumption of contaminated meat or ...

    Authors: Fanny Calenge, Pete Kaiser, Alain Vignal and Catherine Beaumont
    Citation: Genetics Selection Evolution 2010 42:11
  22. In livestock populations, missing genotypes on a large proportion of animals are a major problem to implement the estimation of marker-assisted breeding values using haplotypes. The objective of this article i...

    Authors: Han A Mulder, Mario PL Calus and Roel F Veerkamp
    Citation: Genetics Selection Evolution 2010 42:10
  23. The objective of this simulation study was to compare the effect of the number of QTL and distribution of QTL variance on the accuracy of breeding values estimated with genomewide markers (MEBV). Three distinc...

    Authors: Albart Coster, John WM Bastiaansen, Mario PL Calus, Johan AM van Arendonk and Henk Bovenhuis
    Citation: Genetics Selection Evolution 2010 42:9
  24. The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals. Here, linear ...

    Authors: Lars Rönnegård, Majbritt Felleki, Freddy Fikse, Herman A Mulder and Erling Strandberg
    Citation: Genetics Selection Evolution 2010 42:8
  25. Genomic evaluations are rapidly replacing traditional evaluation systems used for dairy cattle selection. Higher reliabilities from larger genotype files promote cooperation across country borders. Genomic inf...

    Authors: Paul M VanRaden and Peter G Sullivan
    Citation: Genetics Selection Evolution 2010 42:7
  26. A procedure to measure connectedness among herds was applied to a beef cattle population bred by natural service. It consists of two steps: (a) computing coefficients of determination (CDs) of comparisons amon...

    Authors: Joaquim Tarrés, Marta Fina and Jesús Piedrafita
    Citation: Genetics Selection Evolution 2010 42:6
  27. The impact of additive-genetic relationships captured by single nucleotide polymorphisms (SNPs) on the accuracy of genomic breeding values (GEBVs) has been demonstrated, but recent studies on data obtained fro...

    Authors: David Habier, Jens Tetens, Franz-Reinhold Seefried, Peter Lichtner and Georg Thaller
    Citation: Genetics Selection Evolution 2010 42:5
  28. The use of genomic selection in breeding programs may increase the rate of genetic improvement, reduce the generation time, and provide higher accuracy of estimated breeding values (EBVs). A number of differen...

    Authors: Ole F Christensen and Mogens S Lund
    Citation: Genetics Selection Evolution 2010 42:2
  29. The use of structural equation models for the analysis of recursive and simultaneous relationships between phenotypes has become more popular recently. The aim of this paper is to illustrate how these models c...

    Authors: Evangelina López de Maturana, Gustavo de los Campos, Xiao-Lin Wu, Daniel Gianola, Kent A Weigel and Guilherme JM Rosa
    Citation: Genetics Selection Evolution 2010 42:1
  30. Genomic selection (GS) uses molecular breeding values (MBV) derived from dense markers across the entire genome for selection of young animals. The accuracy of MBV prediction is important for a successful appl...

    Authors: Gerhard Moser, Bruce Tier, Ron E Crump, Mehar S Khatkar and Herman W Raadsma
    Citation: Genetics Selection Evolution 2009 41:56
  31. Genomic prediction of breeding values involves a so-called training analysis that predicts the influence of small genomic regions by regression of observed information on marker genotypes for a given populatio...

    Authors: Dorian J Garrick, Jeremy F Taylor and Rohan L Fernando
    Citation: Genetics Selection Evolution 2009 41:55
  32. There is a need for genetic markers or biomarkers that can predict resistance towards a wide range of infectious diseases, especially within a health environment typical of commercial farms. Such markers also ...

    Authors: Mary Clapperton, Abigail B Diack, Oswald Matika, Elizabeth J Glass, Christy D Gladney, Martha A Mellencamp, Annabelle Hoste and Stephen C Bishop
    Citation: Genetics Selection Evolution 2009 41:54
  33. When estimating marker effects in genomic selection, estimates of marker effects may simply act as a proxy for pedigree, i.e. their effect may partially be attributed to their association with superior parents...

    Authors: Trygve R Solberg, Anna K Sonesson, John A Woolliams, Jørgen Ødegard and Theo HE Meuwissen
    Citation: Genetics Selection Evolution 2009 41:53
  34. Two key findings from genomic selection experiments are 1) the reference population used must be very large to subsequently predict accurate genomic estimated breeding values (GEBV), and 2) prediction equation...

    Authors: Ben J Hayes, Phillip J Bowman, Amanda C Chamberlain, Klara Verbyla and Mike E Goddard
    Citation: Genetics Selection Evolution 2009 41:51
  35. In the case of an autosomal locus, four transmission events from the parents to progeny are possible, specified by the grand parental origin of the alleles inherited by this individual. Computing the probabili...

    Authors: Jean-Michel Elsen, Olivier Filangi, Hélène Gilbert, Pascale Le Roy and Carole Moreno
    Citation: Genetics Selection Evolution 2009 41:50
  36. For dairy producers, a reliable description of lactation curves is a valuable tool for management and selection. From a breeding and production viewpoint, milk yield persistency and total milk yield are import...

    Authors: Klara L Verbyla and Arunas P Verbyla
    Citation: Genetics Selection Evolution 2009 41:48
  37. The fertility of a chicken's egg is a trait which depends on both the hen that lays the egg and on her mate. It is also known that fertility of an individual changes over the laying period.

    Authors: Anna Wolc, Ian MS White, Victor E Olori and William G Hill
    Citation: Genetics Selection Evolution 2009 41:47
  38. For ruminants reared on grazing systems, gastrointestinal nematode (GIN) parasite infections represent the class of diseases with the greatest impact on animal health and productivity. Among the many possible ...

    Authors: Beatriz Gutiérrez-Gil, Jorge Pérez, Lorena Álvarez, Maria Martínez-Valladares, Luis-Fernando de la Fuente, Yolanda Bayón, Aranzazu Meana, Fermin San Primitivo, Francisco-Antonio Rojo-Vázquez and Juan-José Arranz
    Citation: Genetics Selection Evolution 2009 41:46
  39. An (Awassi × Merino) × Merino backcross family of 172 ewes was used to map quantitative trait loci (QTL) for different milk production traits on a framework map of 200 loci across all autosomes. From five prev...

    Authors: Herman W Raadsma, Elisabeth Jonas, David McGill, Matthew Hobbs, Mary K Lam and Peter C Thomson
    Citation: Genetics Selection Evolution 2009 41:45
  40. Simultaneous detection of multiple QTLs (quantitative trait loci) may allow more accurate estimation of genetic effects. We have analyzed outbred commercial pig populations with different single and multiple m...

    Authors: Yoshitaka Nagamine, Ricardo Pong-Wong, Peter M Visscher and Chris S Haley
    Citation: Genetics Selection Evolution 2009 41:44
  41. Populational linkage disequilibrium and within-family linkage are commonly used for QTL mapping and marker assisted selection. The combination of both results in more robust and accurate locations of the QTL, ...

    Authors: Andrés Legarra and Rohan L Fernando
    Citation: Genetics Selection Evolution 2009 41:43

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"