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  1. This article investigates the application of meta-analysis on livestock candidate gene effects. The Pvu II polymorphism of the ESR gene is used as an example. The association among ESR Pvu II alleles with the num...

    Authors: Leopoldo Alfonso
    Citation: Genetics Selection Evolution 2005 37:417
  2. The need for conservation of farm animal genetic resources is widely accepted. A key question is the choice of breeds to be conserved. For this purpose, a core set of breeds was introduced in that the total ge...

    Authors: Jörn Bennewitz and Theo HE Meuwissen
    Citation: Genetics Selection Evolution 2005 37:315
  3. The genes that are part of the somatotropic axis play a crucial role in the regulation of growth and development of chickens. The identification of genetic polymorphisms in these genes will enable the scientis...

    Authors: Qinghua Nie, Mingming Lei, Jianhua Ouyang, Hua Zeng, Guanfu Yang and Xiquan Zhang
    Citation: Genetics Selection Evolution 2005 37:339
  4. The composition of the genome after introgression of a marker gene from a donor to a recipient breed was studied using analytical and simulation methods. Theoretical predictions of proportional genomic contrib...

    Authors: Eileen Wall, Peter M Visscher, Frédéric Hospital and John A Woolliams
    Citation: Genetics Selection Evolution 2005 37:291
  5. Selection programmes are mainly concerned with increasing genetic gain. However, short-term progress should not be obtained at the expense of the within-population genetic variability. Different prediction mod...

    Authors: Valérie Loywyck, Piter Bijma, Marie-Hélène Pinard-van der Laan, Johan van Arendonk and Etienne Verrier
    Citation: Genetics Selection Evolution 2005 37:273
  6. We present a gene-based RH map of the chicken microchromosome GGA14, known to have synteny conservations with human chromosomal regions HSA16p13.3 and HSA17p11.2. Microsatellite markers from the genetic map we...

    Authors: Mireille Morisson, Sophie Leroux, Carine Jiguet-Jiglaire, Sirine Assaf, Frédérique Pitel, Sandrine Lagarrigue, Suzanne Bardes, Katia Feve, Thomas Faraut, Denis Milan and Alain Vignal
    Citation: Genetics Selection Evolution 2005 37:229
  7. In this report we describe the analysis of an advanced intercross line (AIL) to confirm the quantitative trait locus (QTL) regions found for fatness traits in a previous study. QTL analysis was performed on ch...

    Authors: Danyel GJ Jennen, Addie LJ Vereijken, Henk Bovenhuis, Richard MPA Crooijmans, Jan J van der Poel and Martien AM Groenen
    Citation: Genetics Selection Evolution 2005 37:215
  8. Two lines of Large White pigs of common genetic origin were divergently selected over four years for high and low growth rate during a 6 week post-weaning test period in which all pigs were fed the same total ...

    Authors: Nguyen Hong Nguyen and Cameron P McPhee
    Citation: Genetics Selection Evolution 2005 37:199
  9. We considered the analysis of a study for Dorper, Red Maasai and crossbred lambs born over a period of 6 years at the Diani Estate, Kenya. The study was designed to compare survival and performance traits of g...

    Authors: Rosemary Nguti, Tomasz Burzykowski, John Rowlands, Didier Renard and Paul Janssen
    Citation: Genetics Selection Evolution 2005 37:175
  10. We estimated heritabilities and genetic correlations for a suite of 15 characters in five functional groups in an advanced intercross population of over 2000 mice derived from a cross of inbred lines selected ...

    Authors: Larry J Leamy, Kari Elo, Merlyn K Nielsen, L Dale Van Vleck and Daniel Pomp
    Citation: Genetics Selection Evolution 2005 37:151
  11. The effects of selection for growth rate on weights and qualitative carcass and muscle traits were assessed by comparing two lines selected for live body weight at 63 days of age and a cryopreserved control po...

    Authors: Catherine Larzul, Florence Gondret, Sylvie Combes and Hubert de Rochambeau
    Citation: Genetics Selection Evolution 2005 37:105
  12. Rates of inbreeding (ΔF) in selected populations were predicted using the framework of long-term genetic contributions and validated against stochastic simulations. Deterministic predictions decomposed ΔF into fo...

    Authors: Anders Christian Sørensen, Peer Berg and John A Woolliams
    Citation: Genetics Selection Evolution 2005 37:57
  13. Genetic diversity, introgression and relationships were studied in 521 individuals from 9 African Bos indicus and 3 Bos taurus cattle breeds in Cameroon and Nigeria using genotype information on 28 markers (16 mi...

    Authors: Eveline Mengwi Ibeagha-Awemu, Oliver Carl Jann, Christina Weimann and Georg Erhardt
    Citation: Genetics Selection Evolution 2004 36:673
  14. The genetic variability of the mitochondrial D-loop DNA sequence in seven horse breeds bred in Italy (Giara, Haflinger, Italian trotter, Lipizzan, Maremmano, Thoroughbred and Sarcidano) was analysed. Five unre...

    Authors: Maria Cristina Cozzi, Maria Giuseppina Strillacci, Paolo Valiati, Barbara Bighignoli, Mario Cancedda and Marta Zanotti
    Citation: Genetics Selection Evolution 2004 36:663
  15. Growth rate is the main breeding goal of fish breeders, but individual selection has often shown poor responses in fish species. The PROSPER method was developed to overcome possible factors that may contribut...

    Authors: Bernard Chevassus, Edwige Quillet, Francine Krieg, Marie-Gwénola Hollebecq, Muriel Mambrini, André Fauré, Laurent Labbé, Jean-Pierre Hiseux and Marc Vandeputte
    Citation: Genetics Selection Evolution 2004 36:643
  16. The estimation of gametic effects via marker-assisted BLUP requires the inverse of the conditional gametic relationship matrix G. Both gametes of each animal can either be identified (distinguished) by markers or...

    Authors: Armin Tuchscherer, Manfred Mayer and Norbert Reinsch
    Citation: Genetics Selection Evolution 2004 36:621
  17. Selective genotyping is common because it can increase the expected correlation between QTL genotype and phenotype and thus increase the statistical power of linkage tests (i.e., regression-based tests). Linkage ...

    Authors: T Mark Beasley, Dongyan Yang, Nengjun Yi, Daniel C Bullard, Elizabeth L Travis, Christopher I Amos, Shizhong Xu and David B Allison
    Citation: Genetics Selection Evolution 2004 36:601
  18. An attempt was made to assign five genes, CPS1, OTC, ASS, CRYD2, and ARG2, to chicken chromosomes (GGA) by radiation-hybrid mapping. OTC was assigned to GGA1; ARG2 to GGA5; CPS1 to GGA7; and CRYD2 to GGA19. ASS w...

    Authors: Takeshi Shimogiri, Natalia Bosak, Mireille Morisson, Shin Okamoto, Kotaro Kawabe, Yoshizane Maeda, Alain Vignal and Hiroshi Yasue
    Citation: Genetics Selection Evolution 2004 36:593
  19. The aim of this study was to examine the effects of a QTL in different genetic backgrounds. A QTL affecting body mass on chromosome 6 was identified in an F2 cross between two lines of mice that have been diverge...

    Authors: Julian K Christians, Kellie A Rance, Sara A Knott, Pat M Pignatelli, Fiona Oliver and Lutz Bünger
    Citation: Genetics Selection Evolution 2004 36:577
  20. A nationwide health card recording system for dairy cattle was introduced in Norway in 1975 (the Norwegian Cattle Health Services). The data base holds information on mastitis occurrences on an individual cow ...

    Authors: Solve Sæbø and Arnoldo Frigessi
    Citation: Genetics Selection Evolution 2004 36:527
  21. Covariance functions have been proposed to predict breeding values and genetic (co)variances as a function of phenotypic within herd-year averages (environmental parameters) to include genotype by environment ...

    Authors: Mario PL Calus, Piter Bijma and Roel F Veerkamp
    Citation: Genetics Selection Evolution 2004 36:489
  22. Four missense substitutions (T30N, G52S, V199I and R200Q) in the porcine PRKAG3 gene were considered as the likely candidate loci affecting meat quality. In this study, the R200Q substitution was investigated in ...

    Authors: Lu-Sheng Huang, Jun-Wu Ma, Jun Ren, Neng-Shui Ding, Yuan-Mei Guo, Hua-Shui Ai, Lin Li, Li-Hua Zhou and Cong-Ying Chen
    Citation: Genetics Selection Evolution 2004 36:481
  23. Approaches like multiple interval mapping using a multiple-QTL model for simultaneously mapping QTL can aid the identification of multiple QTL, improve the precision of estimating QTL positions and effects, an...

    Authors: Manfred Mayer, Yuefu Liu and Gertraude Freyer
    Citation: Genetics Selection Evolution 2004 36:455
  24. For a finite locus model, Markov chain Monte Carlo (MCMC) methods can be used to estimate the conditional mean of genotypic values given phenotypes, which is also known as the best predictor (BP). When computa...

    Authors: Liviu R. Totir, Rohan L. Fernando, Jack C.M. Dekkers and Soledad A. Fernández
    Citation: Genetics Selection Evolution 2004 36:395
  25. According to the general approach developed in this paper, dynamic management of genetic variability in selected populations of dairy cattle is carried out for three simultaneous purposes: procreation of young...

    Authors: Jean-Jacques Colleau, Sophie Moureaux, Michèle Briend and Jérôme Bechu
    Citation: Genetics Selection Evolution 2004 36:373
  26. Approximate standard errors (ASE) of variance components for random regression coefficients are calculated from the average information matrix obtained in a residual maximum likelihood procedure. Linear combin...

    Authors: Troy M Fischer, Arthur R Gilmour and Julius H.J. van der Werf
    Citation: Genetics Selection Evolution 2004 36:363
  27. The genetic diversity of the casein locus in cattle was studied on the basis of haplotype analysis. Consideration of recently described genetic variants of the casein genes which to date have not been the subj...

    Authors: Oliver C Jann, Eveline M Ibeagha-Awemu, Ceyhan Özbeyaz, Pilar Zaragoza, John L Williams, Paolo Ajmone-Marsan, Johannes A Lenstra, Katy Moazami-Goudarzi and Georg Erhardt
    Citation: Genetics Selection Evolution 2004 36:243
  28. This experiment was conducted to assess the efficiency of selection on the basis of response to artificial challenges in order to breed sheep resistant to natural infection. A short-term divergent selection pr...

    Authors: Lucas Gruner, Jacques Bouix, Jacqueline Vu Tien Khang, Nathalie Mandonnet, Francis Eychenne, Jacques Cortet, Christine Sauvé and Claude Limouzin
    Citation: Genetics Selection Evolution 2004 36:217
  29. To assess the genetic variability in both the nocturnal increase pattern of melatonin concentration and photoresponsiveness in coat changes, an experiment on 422 Rex rabbits (from 23 males) raised under a cons...

    Authors: Daniel Allain, Benoit Malpaux, François Puechal, René Gérard Thébault, Hubert de Rochambeau and Philippe Chemineau
    Citation: Genetics Selection Evolution 2004 36:207
  30. The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction were compared for their false discovery rates (FDR), i.e. the fraction of falsely discovered genes, which was emp...

    Authors: Theo HE Meuwissen and Mike E Goddard
    Citation: Genetics Selection Evolution 2004 36:191
  31. In a simulation study, different designs were compared for efficiency of fine-mapping of QTL. The variance component method for fine-mapping of QTL was used to estimate QTL position and variance components. Th...

    Authors: Sang Hong Lee and Julius HJ van der Werf
    Citation: Genetics Selection Evolution 2004 36:145
  32. Mitochondrial DNA has been widely used to perform phylogenetic studies in different animal species. In pigs, genetic variability at the cytochrome B gene and the D-loop region has been used as a tool to dissec...

    Authors: Alex Clop, Marcel Amills, José Luís Noguera, Ana Fernández, Juan Capote, Maria Misericòrdia Ramón, Lucía Kelly, James M.H. Kijas, Leif Andersson and Armand Sànchez
    Citation: Genetics Selection Evolution 2004 36:97
  33. Under additive inheritance, the Henderson mixed model equations (HMME) provide an efficient approach to obtaining genetic evaluations by marker assisted best linear unbiased prediction (MABLUP) given pedigree ...

    Authors: Liviu R. Totir, Rohan L. Fernando, Jack C.M. Dekkers, Soledad A. Fernández and Bernt Guldbrandtsen
    Citation: Genetics Selection Evolution 2004 36:29
  34. A Gaussian mixture model with a finite number of components and correlated random effects is described. The ultimate objective is to model somatic cell count information in dairy cattle and to develop criteria...

    Authors: Daniel Gianola, Jørgen Øegård, Bjørg Heringstad, Gunnar Klemetsdal, Daniel Sorensen, Per Madsen, Just Jensen and Johann Detilleux
    Citation: Genetics Selection Evolution 2004 36:3

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