[en] A QTL detection experiment was performed in French dairy cattle to search for QTL related to male fertility. Ten families, involving a total of 515 bulls, were phenotyped for ejaculated volume and sperm concentration, number of spermatozoa, motility, velocity, percentage of motile spermatozoa after thawing and abnormal spermatozoa. A set of 148 microsatellite markers were used to realize a genome scan. First, genetic parameters were estimated for all traits. Semen production traits were found to have moderate heritabilities (from 0.15 to 0.30) while some of the semen quality traits such as motility had high heritabilities (close to 0.60). Genetic correlations among traits showed negative relationships between volume and concentration and between volume and most quality traits such as motility or abnormal sperm while correlations between concentration and these traits were rather favourable. Percentages of abnormal sperm were negatively related to quality traits, especially with motility and velocity of spermatozoa. Three QTL related to abnormal sperm frequencies were significant at p < 0.01. In total, 11 QTL (p < 0.05) were detected. However, the number of QTL detected was within the range of expected false positives. Because of the lack of power to find QTL in this design further analyses are required to confirm these QTL.
Disciplines :
Genetics & genetic processes Animal production & animal husbandry
Author, co-author :
Druet, Tom ; Institut Scientifique de Recherche Agronomique - INRA > Département de Génétique Animale > Station de Génétique Quantitative et Appliquée
Fritz, S.
Sellem, E.
Basso, B.
Gerard, Olivier ; Centre Hospitalier Universitaire de Liège - CHU > Médecine de l'appareil locomoteur
Salas-Cortes, L.
Humblot, P.
Druart, X.
Eggen, A.
Language :
English
Title :
Estimation of genetic parameters and genome scan for 15 semen characteristics traits of Holstein bulls.
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Benjamini Y., Hochberg Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. B., 57, 289 300.
David I., Bodin L., Lagriffoul G., Manfredi E., Robert-Granié C. (2006) Genetic parameters of ram semen traits using an animal model accounting for serial correlations. In : Proceedings of the eighth World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Brazil, 13-18 August 2006.
Ducrocq V., Humblot P. (1995) Genetic characteristics and evolution of semen production of young Normande bulls. Livest. Prod. Sci., 41, 1 10.
Fernando R.L., Grossman M. (1989) Marker-assisted selection using best linear unbiased prediction. Genet. Sel. Evol., 21, 467 477.
George A.W., Visscher P.M., Haley C.S. (2000) Mapping quantitative trait loci in complex pedigrees: a two-step variance component approach. Genetics, 156, 2081 2092.
Gilbert H., Leroy P. (2003) Comparison of three multitrait methods for QTL detection. Genet. Sel. Evol., 33, 281 304.
Grignola F.E., Hoeschele I., Tier B. (1996) Mapping quantitative trait loci in outcross populations via residual maximum likelihood. I. Methodology. Genet. Sel. Evol., 28, 479 490.
Guillaume F., Fritz S., Boichard D., Druet T. (2008) Estimation by simulation of the efficiency of the French marker-assisted selection program in dairy cattle. Genet. Sel. Evol., 40, 91 102.
Humblot P., Decoux G., Dhorne T. (1991) Effects of the sire and district of AI on cow fertility. Reprod. Domest. Anim., 26, 225 234.
Ihara N., Takasuga A., Mizoshita K., Takeda H., Sugimoto M., Mizoguchi Y., Hirano T., Itoh T., Watanabe T., Reed K.M., Snelling W.M., Kappes S.M., Beattie C.W., Bennett G.L., Sugimoto Y. (2004) A comprehensive genetic map of the cattle genome based on 3802 microsatellites. Genome Res., 14, 1987 1998.
Jamrozik J., Fatehi J., Kistemaker G.J., Schaeffer L.R. (2005) Estimates of genetic parameters for Canadian Holstein female reproduction traits. J. Dairy Sci., 88, 2199 2208.
Knights S.A., Baker R.L., Gianola D., Gibb J.B. (1984) Estimates of heritabilities and genetic and phenotypic correlations among growth and reproductive traits in yearling Angus bulls. J. Anim. Sci., 58, 887 893.
Lang H., Preisinger R., Kalm E. (1988) Analysis of data on semen quality in Angeln cattle obtained from a breeding program. Zuchthygiene (Berlin), 23, 10 18.
Larroque H., Gallard Y., Delacroix-Bucher A., Bach C., Ogier J.C., Mahe M.F., Miranda G., Gautier M., Grohs C., Legros H., Druet T., Colleau J.J., Boichard D. 2007 : Détection de QTL infleunçant l'aptitude à la transformation fromagère des laits dans un croisement Holstein-Normande. In : Proceedings of 14eme Rencontres Recherches Ruminants. 5-6 December 2007, Paris, France.
Lucy M.C. (2001) Reproductive loss in high-reproducing dairy cattle: where will it end? J. Dairy Sci., 84, 1277 1293.
Mathevon M., Buhr M.M., Dekkers J.C.M. (1998) Environmental, management, and genetic factors affecting semen production in Holstein bulls. J. Dairy Sci., 81, 3321 3330. (Pubitemid 128444884)
Misztal I., Tsuruta T., Strabel T., Auvray B., Druet T., Lee D.H. 2002 : BLUPF90 and related programs (BGF90). In : Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, 19-23 August 2002, Montepellier, France.
Pong-Wong R., George A.W., Woolliams J.A., Haley C.S. (2001) A simple and rapid method for calculating identity-by-descent matrices using multiple markers. Genet. Sel. Evol., 33, 453 471.
Taylor J.F., Bean B., Marshall C.E., Sullivan J.J. (1985) Genetic and environmental components of semen production traits of artificial insemination Holstein bulls. J. Dairy Sci., 68, 2703 2722.
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.
