Didier Boichard

Génétique Animale et Biologie Intégrative

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Sébastien Fritz

Génétique Animale et Biologie Intégrative

258

Mekki Boussaha

Génétique Animale et Biologie Intégrative

121

Cécile Grohs

Génétique Animale et Biologie Intégrative

Vincent Ducrocq

Université Paris-Saclay

Marie-Pierre Sanchez

Génétique Animale et Biologie Intégrative

Chris Hozé

Génétique Animale et Biologie Intégrative

Aurélien Capitan

Génétique Animale et Biologie Intégrative

Anne Barbat

Génétique Animale et Biologie Intégrative

Pascal Croiseau

Génétique Animale et Biologie Intégrative

Mickaël Brochard

Institut de l’Elevage

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Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

334

Institut National de la Recherche Agronomique

234

Université Paris-Saclay

200

Génétique Animale et Biologie Intégrative

187

AgroParisTech

149

Département Génétique Animale

134

Centre National de la Recherche Scientifique

134

Institut de l’Elevage

106

Génétique Physiologie et Systèmes d'Elevage

Université de Toulouse

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Use of maternal information for QTL detection in a (grand)daughter design

Genetics Selection Evolution (2002)

Marc Bolard Didier Boichard

In a (grand)daughter design, maternal information is often neglected because the number of progeny per dam is limited. The number of dams per maternal grandsire (MGS), however, could be large enough to contribute to QTL detection. But dams and MGS usually are not genotyped, there are two recombination opportunities between the MGS and the progeny, and at a given location, only half the progeny receive a MGS chromosomal segment. A 3-step procedure was developed to estimate: (1) the marker phenotypes probabilities of the MGS; (2) the probability of each possible MGS haplotype; (3) the probabilities that the progeny receives either the first, or second MGS segment, or a maternal grandam segment. These probabilities were used for QTL detection in a linear model including the effects of sire, MGS, paternal QTL, MGS QTL and maternal grandam QTL. Including the grandam QTL effect makes it possible to detect QTL in the grandam population, even when MGS are not informative. The detection power, studied by simulation, was rather high, provided that MGS family size was greater than 50. Using maternal information in the French dairy cattle granddaughter design made it possible to detect 23 additional QTL genomewise significant.

Sire

Family-based QTL mapping

Daughter

10.1051/gse:2002011

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Citations (3)

Genetic defects in cattle

HAL (Le Centre pour la Communication Scientifique Directe) (2002)

Alain Ducos Andre A. Eggen Roland Darré Didier Boichard

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Dairy crossbreeding: pros and cons for Holsteindairy systems.

INRAE Productions Animales (2019)

Charlotte Dezetter Didier Boichard Nathalie Bareille Bénédicte Grimard Pascale Le Mezec

cons

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Citations (1)

Multivariate restricted maximum likelihood estimation of genetic parameters for growth, carcass and meat quality traits in French Large White and French Landrace pigs

Genetics Selection Evolution (1993)

Alain Ducos Jean Pierre Bidanel Vincent Ducrocq Didier Boichard Eildert Groeneveld

Restricted maximum likelihood

Large white

Litter

Marbled meat

Lean meat

Variance components

10.1186/1297-9686-25-5-475

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Citations (38)

GSE’s 50th anniversary: where do we go from now?

Genetics Selection Evolution (2019)

Didier Boichard Hélène Hayes Jacobus Dekkers J. H. J. van der Werf

10.1186/s12711-019-0504-4

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Whole genome association analysis of resistance / susceptibility to paratuberculosis in French Holstein and Normande cattle

HAL (Le Centre pour la Communication Scientifique Directe) (2016)

Marie-Pierre Sanchez Raphaël R. Guatteo A. Davergne Cécile Grohs Aurélien Capitan

Association (psychology)

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Using genomes sequences to identify causal variants for milk fatty acids in dairy cattle

HAL (Le Centre pour la Communication Scientifique Directe) (2015)

Armelle Govignon-Gion Marie-Pierre Sanchez Pascal Croiseau Anne Barbat Sébastien Fritz

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MOESM1 of Construction of a large collection of small genome variations in French dairy and beef breeds using whole-genome sequences

Figshare (2016)

Mekki Boussaha Pauline Michot Rabia Letaïef Chris Hozé Sébastien Fritz

Additional file 1. Summary of sequence coverage and sequence alignment to the reference genome. Total and mapped reads, as well as total and percent of correctly mapped reads are indicated for each sample. The estimated sequence coverage was also obtained for each sample.

10.6084/m9.figshare.c.3640817_d4

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Towards a genomic evaluation of cheese-making traits including candidate SNP in Montbéliarde cows

HAL (Le Centre pour la Communication Scientifique Directe) (2019)

Marie-Pierre Sanchez Thierry Tribout V. Wolf Nicolas Gaudilliere Mohammed El Jabri

SNP

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Studies on dairy production of milking ewes. I. – Estimates of genetic parameters for total milk composition and yield

Genetics Selection Evolution (1987)