Title |
Detection of QTL controlling digestive efficiency and anatomy of the digestive tract in chicken fed a wheat-based diet
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Published in |
Genetics Selection Evolution, April 2014
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DOI | 10.1186/1297-9686-46-25 |
Pubmed ID | |
Authors |
Thanh-Son Tran, Agnès Narcy, Bernard Carré, Irène Gabriel, Nicole Rideau, Hélène Gilbert, Olivier Demeure, Bertrand Bed’Hom, Céline Chantry-Darmon, Marie-Yvonne Boscher, Denis Bastianelli, Nadine Sellier, Marie Chabault, Fanny Calenge, Elisabeth Le Bihan-Duval, Catherine Beaumont, Sandrine Mignon-Grasteau |
Abstract |
Improving digestive efficiency is a major goal in poultry production, to reduce production costs, make possible the use of alternative feedstuffs and decrease the volume of manure produced. Since measuring digestive efficiency is difficult, identifying molecular markers associated with genes controlling this trait would be a valuable tool for selection. Detection of QTL (quantitative trait loci) was undertaken on 820 meat-type chickens in a F2 cross between D- and D+ lines divergently selected on low or high AMEn (apparent metabolizable energy value of diet corrected to 0 nitrogen balance) measured at three weeks in animals fed a low-quality diet. Birds were measured for 13 traits characterizing digestive efficiency (AMEn, coefficients of digestive utilization of starch, lipids, proteins and dry matter (CDUS, CDUL, CDUP, CDUDM)), anatomy of the digestive tract (relative weights of the proventriculus, gizzard and intestine and proventriculus plus gizzard (RPW, RGW, RIW, RPGW), relative length and density of the intestine (RIL, ID), ratio of proventriculus and gizzard to intestine weight (PG/I); and body weight at 23 days of age. Animals were genotyped for 6000 SNPs (single nucleotide polymorphisms) distributed on 28 autosomes, the Z chromosome and one unassigned linkage group. |
X Demographics
Geographical breakdown
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 3% |
Kenya | 1 | 3% |
Unknown | 34 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 13 | 36% |
Student > Ph. D. Student | 5 | 14% |
Student > Master | 5 | 14% |
Lecturer | 2 | 6% |
Other | 2 | 6% |
Other | 8 | 22% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 20 | 56% |
Veterinary Science and Veterinary Medicine | 2 | 6% |
Unspecified | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Engineering | 2 | 6% |
Other | 5 | 14% |
Unknown | 3 | 8% |