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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. Many chromosomal rearrangements are detected each year in France on young boars candidates for reproduction. The possible use of these animals requires a good knowledge of the potential effect of the rearrange...

    Authors: Alain Pinton, Alain Ducos and Martine Yerle
    Citation: Genetics Selection Evolution 2004 36:123
  22. A first generation clone-based physical map for the bovine genome was constructed combining, fluorescent double digestion fingerprinting and sequence tagged site (STS) marker screening. The BAC clones were sel...

    Authors: Laurent Schibler, Anne Roig, Marie-Françoise Mahé, Jean-Claude Save, Mathieu Gautier, Sead Taourit, Didier Boichard, André Eggen and Edmond P. Cribiu
    Citation: Genetics Selection Evolution 2004 36:105
  23. 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
  24. Selection for disease resistance related traits is a tool of choice for evidencing and exploring genetic variability and studying underlying resistance mechanisms. In this framework, chickens originating from ...

    Authors: Marie-Hélène Pinard-van der Laan, Denis Soubieux, Laurence Mérat, Danièle Bouret, Gillette Luneau, Ginette Dambrine and Pierrick Thoraval
    Citation: Genetics Selection Evolution 2004 36:65
  25. A Markov chain Monte Carlo (MCMC) algorithm to sample an exchangeable covariance matrix, such as the one of the error terms (R0) in a multiple trait animal model with missing records under normal-inverted Wishart...

    Authors: Rodolfo Juan Carlos Cantet, Ana Nélida Birchmeier and Juan Pedro Steibel
    Citation: Genetics Selection Evolution 2004 36:49
  26. 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
  27. 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
  28. A pericentric inversion of chromosome 4 in a boar, as well as a case of (2q-;5p+) translocation mosaicism in a bull were analysed by chromosome painting using probes generated by conventional microdissection. ...

    Authors: Alain Pinton, Alain Ducos and Martine Yerle
    Citation: Genetics Selection Evolution 2003 35:685
  29. A bacterial artificial chromosome (BAC) library was constructed by cloning Hind III-digested high molecular weight DNA from a gynogenetic channel catfish, Ictalurus punctatus, into the vector pBeloBAC11. Approxim...

    Authors: Sylvie MA Quiniou, Takayuki Katagiri, Norman W Miller, Melanie Wilson, William R Wolters and Geoffrey C Waldbieser
    Citation: Genetics Selection Evolution 2003 35:673
  30. Chinese indigenous pig breeds are recognized as an invaluable component of the world's pig genetic resources and are divided traditionally into six types. Twenty-six microsatellite markers recommended by the F...

    Authors: Shu-Lin Yang, Zhi-Gang Wang, Bang Liu, Gui-Xiang Zhang, Shu-Hong Zhao, Mei Yu, Bin Fan, Meng-Hua Li, Tong-An Xiong and Kui Li
    Citation: Genetics Selection Evolution 2003 35:657
  31. Some demographic parameters, the genetic structure and the evolution of the genetic variability of six French meat sheep breeds were analysed in relation with their management. Four of these breeds are submitt...

    Authors: Huby Marie, Griffon Laurent, Moureaux Sophie, Rochambeau De Hubert, Danchin-Burge Coralie and Étienne Verrier
    Citation: Genetics Selection Evolution 2003 35:637
  32. Genetic parameters for meat quality traits and their relationships with body weight and breast development were estimated for a total of 420 male turkeys using REML. The birds were slaughtered in a commercial ...

    Authors: Élisabeth Le Bihan-Duval, Cécile Berri, Élisabeth Baéza, Véronique Santé, Thierry Astruc, Hervé Rémignon, Gilles Le Pottier, James Bentley, Catherine Beaumont and Xavier Fernandez
    Citation: Genetics Selection Evolution 2003 35:623
  33. This study presents a multivariate, variance component-based QTL mapping model implemented via restricted maximum likelihood (REML). The method was applied to investigate bivariate and univariate QTL mapping anal...

    Authors: Peter Sørensen, Mogens Sandø Lund, Bernt Guldbrandtsen, Just Jensen and Daniel Sorensen
    Citation: Genetics Selection Evolution 2003 35:605
  34. An increased availability of genotypes at marker loci has prompted the development of models that include the effect of individual genes. Selection based on these models is known as marker-assisted selection (...

    Authors: Liviu R Totir, Rohan L Fernando, Jack CM Dekkers, Soledad A Fernández and Bernt Guldbrandtsen
    Citation: Genetics Selection Evolution 2003 35:585
  35. The quail is a valuable farm and laboratory animal. Yet molecular information about this species remains scarce. We present here the first genetic linkage map of the Japanese quail. This comprehensive map is b...

    Authors: Odile Roussot, Katia Feve, Florence Plisson-Petit, Frédérique Pitel, Jean-Michel Faure, Catherine Beaumont and Alain Vignal
    Citation: Genetics Selection Evolution 2003 35:559
  36. In a project on the biodiversity of chickens funded by the European Commission (EC), eight laboratories collaborated to assess the genetic variation within and between 52 populations from a wide range of chick...

    Authors: Jossi Hillel, Martien A.M. Groenen, Michèle Tixier-Boichard, Abraham B. Korol, Lior David, Valery M. Kirzhner, Terry Burke, Asili Barre-Dirie, Richard P.M.A. Crooijmans, Kari Elo, Marcus W. Feldman, Paul J. Freidlin, Asko Mäki-Tanila, Marian Oortwijn, Pippa Thomson, Alain Vignal…
    Citation: Genetics Selection Evolution 2003 35:533
  37. In this study, a hierarchical threshold mixed model based on a cumulative t-link specification for the analysis of ordinal data or more, specifically, calving ease scores, was developed. The validation of this mo...

    Authors: Kadir Kizilkaya, Paolo Carnier, Andrea Albera, Giovanni Bittante and Robert J. Tempelman
    Citation: Genetics Selection Evolution 2003 35:489

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