References of "Fritz, S"
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See detailGenomic selection in French dairy cattle
Boichard, D; Guillaume, François ULg; Baur, A et al

in Animal Production Science (2012), 52(12), 115-120

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See detailA common reference population from four European Holstein populations increases reliability of genomic predictions.
Lund, M. S.; de Ross, S. P.; de Vries, A. G. et al

in Genetics, Selection, Evolution [=GSE] (2011), 43(1), 43

ABSTRACT: BACKGROUND: Size of the reference population and reliability of phenotypes are crucial factors influencing the reliability of genomic predictions. It is therefore useful to combine closely ... [more ▼]

ABSTRACT: BACKGROUND: Size of the reference population and reliability of phenotypes are crucial factors influencing the reliability of genomic predictions. It is therefore useful to combine closely related populations. Increased accuracies of genomic predictions depend on the number of individuals added to the reference population, the reliability of their phenotypes, and the relatedness of the populations that are combined. METHODS: This paper assesses the increase in reliability achieved when combining four Holstein reference populations of 4000 bulls each, from European breeding organizations, i.e. UNCEIA (France), VikingGenetics (Denmark, Sweden, Finland), DHV-VIT (Germany) and CRV (The Netherlands, Flanders). Each partner validated its own bulls using their national reference data and the combined data, respectively. RESULTS: Combining the data significantly increased the reliability of genomic predictions for bulls in all four populations. Reliabilities increased by 10%, compared to reliabilities obtained with national reference populations alone, when they were averaged over countries and the traits evaluated. For different traits and countries, the increase in reliability ranged from 2% to 19%. CONCLUSIONS: Genomic selection programs benefit greatly from combining data from several closely related populations into a single large reference population. [less ▲]

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See detailEffect of imputing markers from a low-density chip on the reliability of genomic breeding values in Holstein populations.
Dassonneville, Romain; Brondum, R. F.; Druet, Tom ULg et al

in Journal of Dairy Science (2011), 94(7), 3679-86

The purpose of this study was to investigate the imputation error and loss of reliability of direct genomic values (DGV) or genomically enhanced breeding values (GEBV) when using genotypes imputed from a ... [more ▼]

The purpose of this study was to investigate the imputation error and loss of reliability of direct genomic values (DGV) or genomically enhanced breeding values (GEBV) when using genotypes imputed from a 3,000-marker single nucleotide polymorphism (SNP) panel to a 50,000-marker SNP panel. Data consisted of genotypes of 15,966 European Holstein bulls from the combined EuroGenomics reference population. Genotypes with the low-density chip were created by erasing markers from 50,000-marker data. The studies were performed in the Nordic countries (Denmark, Finland, and Sweden) using a BLUP model for prediction of DGV and in France using a genomic marker-assisted selection approach for prediction of GEBV. Imputation in both studies was done using a combination of the DAGPHASE 1.1 and Beagle 2.1.3 software. Traits considered were protein yield, fertility, somatic cell count, and udder depth. Imputation of missing markers and prediction of breeding values were performed using 2 different reference populations in each country: either a national reference population or a combined EuroGenomics reference population. Validation for accuracy of imputation and genomic prediction was done based on national test data. Mean imputation error rates when using national reference animals was 5.5 and 3.9% in the Nordic countries and France, respectively, whereas imputation based on the EuroGenomics reference data set gave mean error rates of 4.0 and 2.1%, respectively. Prediction of GEBV based on genotypes imputed with a national reference data set gave an absolute loss of 0.05 in mean reliability of GEBV in the French study, whereas a loss of 0.03 was obtained for reliability of DGV in the Nordic study. When genotypes were imputed using the EuroGenomics reference, a loss of 0.02 in mean reliability of GEBV was detected in the French study, and a loss of 0.06 was observed for the mean reliability of DGV in the Nordic study. Consequently, the reliability of DGV using the imputed SNP data was 0.38 based on national reference data, and 0.48 based on EuroGenomics reference data in the Nordic validation, and the reliability of GEBV using the imputed SNP data was 0.41 based on national reference data, and 0.44 based on EuroGenomics reference data in the French validation. [less ▲]

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See detailGENOMIC SELECTION IN FRENCH DAIRY CATTLE
Boichard, D.; Guillaume, F.; Baur, A. et al

in Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (2010)

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See detailIMPROVING GENOMIC PREDICTION BY EUROGENOMICS COLLABORATION
Lund, M. S.; de Roos, A. P. W.; de Vries, A. G. et al

in Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (2010)

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See detailEstimation of genetic parameters and genome scan for 15 semen characteristics traits of Holstein bulls.
Druet, Tom ULg; Fritz, S.; Sellem, E. et al

in Journal of Animal Breeding & Genetics (2009), 126(4), 269-77

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 ... [more ▼]

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. [less ▲]

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See detailDetection of quantitative trait loci affecting non-return rate in French dairy cattle.
Ben Jemaa, S.; Fritz, S.; Guillaum, F. et al

in Journal of Animal Breeding & Genetics (2008), 125(4), 280-8

The purpose of this study was to map quantitative trait loci (QTL) influencing female fertility estimated by non-return rate (NRR) in the French dairy cattle breeds Prim'Holstein, Normande and ... [more ▼]

The purpose of this study was to map quantitative trait loci (QTL) influencing female fertility estimated by non-return rate (NRR) in the French dairy cattle breeds Prim'Holstein, Normande and Montbeliarde. The first step was a QTL detection study on NRR at 281 days after artificial insemination on 78 half-sib families including 4993 progeny tested bulls. In Prim'Holstein, three QTL were identified on Bos taurus chromosomes BTA01, BTA02 and BTA03 (p < 0.01), whereas one QTL was identified in Normande on BTA01 (p < 0.05). The second step aimed at confirming these three QTL and refining their location by selecting and genotyping additional microsatellite markers on a sub-sample of 41 families from the three breeds using NRR within 56, 90 and 281 days after AI. Only the three QTL initially detected in Prim'Holstein were confirmed. Moreover, the analysis of NRR within 56, 90 and 281 days after AI allowed us to distinguish two FF QTL on BTA02 in Prim'Holstein, one for NRR56 and one for NRR90. Estimated QTL variance was 18%, 14%, 11.5% and 14% of the total genetic variance, respectively, for QTL mapping to BTA01, BTA02 (NRR90 and NRR56) and BTA03. [less ▲]

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See detailA Generalized Caprine-like Hypoplasia Syndrome is localized within a 6-cM interval on bovine chromosome 13 in the Montbeliarde breed.
Duchesne, A.; Manciaux, L.; Gautier, M. et al

in Animal Genetics (2008), 39(2), 112-20

Caprine-like Generalized Hypoplasia Syndrome (or SHGC) is a new hereditary disorder described in the Montbeliarde breed. We report here the characterization of this new disease, based on the visual ... [more ▼]

Caprine-like Generalized Hypoplasia Syndrome (or SHGC) is a new hereditary disorder described in the Montbeliarde breed. We report here the characterization of this new disease, based on the visual examination of animals affected by SHGC, and on physiological and biochemical studies undertaken on samples of both SHGC and normal animals. Biological samples for more than 150 affected calves and their parents have been collected over the past 4 years within the framework of the Bovine Genetic Disease Observatory. First, pedigree analyses showed that the mode of inheritance is most probably autosomal recessive. Then, a genome scan with 113 animals and 140 microsatellite markers revealed a single locus within a 35-cM region on bovine chromosome 13. Genotypes of 261 animals for 18 new microsatellite markers from the region confirmed the localization of the disorder to a 6-cM interval. Finally, based on the analysis of haplotypes in 463 Montbeliarde sires, we estimated the frequency of the SHGC mutated allele in the population and could propose a strategy for the systematic eradication of this disorder in the near future. [less ▲]

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See detailIntérêt du typage des embryons dans un programme de sélection assistée par marqueurs en bovins laitiers
Colleau, J. J.; Fritz, S.; Ponsart, C. et al

in Renc. Rech. Ruminants, 2008, 15 (2008)

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See detailRefinement of two female fertility QTL using alternative phenotypes in French Holstein dairy cattle.
Guillaume, F.; Gautier, M.; Ben Jemaa, S. et al

in Animal Genetics (2007), 38(1), 72-4

Two quantitative trait loci (QTL) affecting female fertility were mapped in French dairy cattle. Phenotypes were non-return rates at 28, 56, 90 and 282 days after insemination. On chromosome 3, a QTL was ... [more ▼]

Two quantitative trait loci (QTL) affecting female fertility were mapped in French dairy cattle. Phenotypes were non-return rates at 28, 56, 90 and 282 days after insemination. On chromosome 3, a QTL was significant at 1% for non-return rate at 90 days, suggesting that it affects early fertility events. An analysis of SLC35A3, which causes complex vertebral malformation, excluded this gene from the QTL interval. On chromosome 7, a QTL was almost significant (P = 0.05) for non-return rate at 282 days. This QTL was associated with abortion and stillbirth problems. Use of appropriate phenotypes appeared important for fine-mapping QTL associated with fertility. [less ▲]

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See detailCharacterization of the DGAT1 K232A and variable number of tandem repeat polymorphisms in French dairy cattle.
Gautier, M.; Capitan, A.; Fritz, S. et al

in Journal of Dairy Science (2007), 90(6), 2980-8

A quantitative trait locus (QTL) underlying different milk production traits has been identified with a high significance threshold value in the genomic region containing the acylCoA:diacylglycerol ... [more ▼]

A quantitative trait locus (QTL) underlying different milk production traits has been identified with a high significance threshold value in the genomic region containing the acylCoA:diacylglycerol acyltransferase (DGAT1) gene, in the 3 main French dairy cattle breeds: French Holstein, Normande, and Montbeliarde. Previous studies have confirmed that the K232A polymorphism in DGAT1 is responsible for a major QTL underlying several milk production traits in Holstein dairy cattle and several other bovine breeds. In this study, we estimate the frequency of the 2 alternative alleles, K and A, of the K232A polymorphism in French Holstein, Normande, and Montbeliarde breeds. Although the K allele segregates in French Holstein and Normande breeds with a similar effect on production traits, the existence of additional mutations contributing to the observed QTL effect is strongly suggested in both breeds by the existence of sires heterozygous at the QTL but homozygous at the K232A polymorphism. One allele at a variable number of tandem repeats (VNTR) locus in the 5' noncoding region of DGAT1 has been recently proposed as a putative causative variant. In our study, this marker was found to present a high mutation rate of 0.8% per gamete and per generation, making the allele diversity observed compatible with that expected under neutrality. Moreover, among the sires homozygous at the K232A polymorphism, no allele at the VNTR can fully explain their QTL status. Finally, no allele at the VNTR was found to be significantly associated with the fat percentage variation in the 3 breeds simultaneously after correction for the effect of the K232A polymorphism. Therefore, our results suggest the existence of at least one other causative polymorphism not yet described. Because the A allele is nearly fixed in the Montbeliarde breed, this breed represents an interesting model to identify and confirm other mutations that have a strong effect on milk production traits. [less ▲]

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See detailUse of SNP for marker assisted selection in French dairy cattle
Guillaume, F.; Fritz, S.; Boichard, D. et al

in Book of abstracts from the 58th Annual Meeting of the European Association for Animal Production (2007)

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See detailQTL detection for male fertility traits in dairy cattle
Druet, Tom ULg; Basso, B.; Sellem, E. et al

in Book of abstracts from the 58th Annual Meeting of the European Association for Animal Production (2007)

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See detailBilan du programme de Sélection Assistée par Marqueurs dans les trois principales races bovines laitières françaises et perspectives d’évolution
Fritz, S.; Druet, Tom ULg; Guillaume, F. et al

in Renc. Rech. Ruminants, 2007, 14 (2007)

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See detailQTL fine-mapping: experience in French dairy cattle
Gautier, M.; Druet, Tom ULg; Fritz, S. et al

in Proceedings of the 8th World Congress on Genetics Applied to Livestock Production (2006)

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See detailImplementation of marker-assisted selection: practical lessons from dairy cattle
Boichard, D.; Fritz, S.; Rossignol, M. N. et al

in Proceedings of the 8th World Congress on Genetics Applied to Livestock Production (2006)

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See detailLa sélection assistée par marqueurs: un apport de la génomique pour la sélection en bovins laitiers
Druet, Tom ULg; Fritz, S.; Gautier, M.

in Onzième Carrefour des productions animales (2006)

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See detailEstimation of genetic parameters for quantitative trait loci for dairy traits in the French Holstein population.
Druet, Tom ULg; Fritz, S.; Boichard, D. et al

in Journal of Dairy Science (2006), 89(10), 4070-6

A marker-assisted selection program (MAS) has been implemented in dairy cattle in France. The efficiency of such a selection program depends on the use of correct genetic parameters for the marked ... [more ▼]

A marker-assisted selection program (MAS) has been implemented in dairy cattle in France. The efficiency of such a selection program depends on the use of correct genetic parameters for the marked quantitative trait loci (QTL). Therefore, the objective of this study was to estimate the proportion of genetic variance explained by 4 QTL described in previous studies (these QTL are segregating on chromosomes 6, 14, 20, and 26). Genotypes for 11 markers were available for 3,974 bulls grouped within 54 sire families of the French Holstein population undergoing MAS. The parameters were estimated for 4 QTL and 5 dairy traits: milk, fat and protein yields, and fat and protein percentages. The proportion of genetic variance explained by the QTL ranged from as low as 0.03 to 0.36%. Both lack of marker informativity and poor monitoring of QTL transmission might limit the accuracy of estimation. The QTL explained a larger proportion of genetic variance for milk composition traits. The QTL on chromosome 14 and chromosomes 6 and 20 have their largest influence on fat and protein percentages, respectively. The overall proportions of genetic variance explained by the QTL were 27.0, 30.7, 24.1, 48.2, and 33.6% for milk, fat and protein yields, and fat and protein percentages, respectively. These results clearly indicated that a large part of the genetic variance is explained by a small number of QTL and that their use in MAS might be beneficial for dairy cattle breeding programs. [less ▲]

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See detailGenetic markers in breeding programs
Druet, Tom ULg; Fritz, S.; Colleau, J. J. et al

in Proceeding of the 26th European Holstein and Red Holstein Conference (2005)

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