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S. Blott, Jongjoo Kim, S. Moisio, Anne Schmidt-Küntzel, A. Cornet, P. Berzi, Nadine Cambisano, Christine Ford, B. Grisart, Dave Johnson, L. Karim, Patricia Simon, R. Snell, R. Spelman, Jerry Wong, J. Vilkki, M. Georges, F. Farnir, W. Coppieters (2002)
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QTL analyses reveal clustered loci for accumulation of major provitamin A carotenes and lycopene in carrot rootsMolecular Genetics and Genomics, 268
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QTL Clusters Character Associations in Wild and Cultivated Rice
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S. Blott, J.-J. Kim, S. Moisio (2003)
Molecular Dissection of a QTL: A Phenylalanine-to-Tyrosine Substitution in the Transmembrane Domain of the Bovine Growth Hormone Receptor Is Associated with a Major Effect on Milk Yield and CompositionGenetics, 163
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Link - age Disequilibrium on Chromosome 6 in Australian Holstein – Friesian Catte
B. Grisart, W. Coppieters, F. Farnir, L. Karim, Christine Ford, P. Berzi, Nadine Cambisano, M. Mni, S. Reid, Patricia Simon, R. Spelman, M. Georges, R. Snell (2002)
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Molecular Dissection of a QTL: A Phenylalanine-to-Tyrosine Substitution in the Transmembrane Domain of the Bovine Growth Hormone Receptor Is Associated with a Major Effect on Milk
M. Cohen-Zinder, E. Seroussi, D. Larkin, J. Loor, A. Wind, Jun Lee, J. Drackley, M. Band, Alvaro Hernandez, M. Shani, H. Lewin, J. Weller, M. Ron (2005)
Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle.Genome research, 15 7
Analysis of the pattern of the chromosomal localization of quantitative trait loci (QTLs) is necessary for comprehensively understanding their functions. The chromosomal localization of QTLs controlling milk production traits has been studied in cattle chromosomes. The distribution of QTLs between chromosomes has proved to be binomial. Their distribution along each chromosome was, in general, uniform, except for the QTLs controlling the somatic cell score (SCS), which tended towards telomeric location. However, there are chromosomes either enriched with or particularly poor in QTLs. The QTL distribution patters are the most similar for the milk yield (M) and milk protein yield (P) and for milk fat yield (F) and milk fat content (%F). The pattern of the SCS QTLs stands out among those of other QTLs. The distance between the QTLs of contrasting traits is the shortest for M and P QTLs, longer for M and milk protein content (%P) QTLs, and still longer for M and %F QTLs, which may be explained by QTL pleiotropy, a common phenomenon in cattle.
Russian Journal of Genetics – Springer Journals
Published: Jul 2, 2008
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