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Titolo:
A molecular genome scan analysis to identify chromosomal regions influencing economic traits in the pig. II. Meat and muscle composition
Autore:
Malek, M; Dekkers, JCM; Lee, HK; Baas, TJ; Prusa, K; Huff-Lonergan, E; Rothschild, MF;
Indirizzi:
Iowa State Univ Sci & Technol, Dept Anim Sci, Ames, IA 50011 USA Iowa State Univ Sci & Technol Ames IA USA 50011 m Sci, Ames, IA 50011 USA Iowa State Univ Sci & Technol, Dept Food Sci & Human Nutr, Ames, IA 50011 USA Iowa State Univ Sci & Technol Ames IA USA 50011 Nutr, Ames, IA 50011 USA
Titolo Testata:
MAMMALIAN GENOME
fascicolo: 8, volume: 12, anno: 2001,
pagine: 637 - 645
SICI:
0938-8990(200108)12:8<637:AMGSAT>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
QUALITY TRAITS; SKELETAL-MUSCLE; WILD BOAR; DRIP LOSS; LOCI; PARAMETERS; MUTATION; CARCASS; GENE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
30
Recensione:
Indirizzi per estratti:
Indirizzo: Rothschild, MF Iowa State Univ Sci & Technol, Dept Anim Sci, 2255H Kildee Hall, Ames, IA 50011 USA Iowa State Univ Sci & Technol 2255H Kildee Hall Ames IA USA 50011
Citazione:
M. Malek et al., "A molecular genome scan analysis to identify chromosomal regions influencing economic traits in the pig. II. Meat and muscle composition", MAMM GENOME, 12(8), 2001, pp. 637-645

Abstract

Molecular genetic markers can be used to identify chromosomal regions thatcontain quantitative trait loci (QTL) that control meat quality and musclecomposition traits in farm animals. To study this in pigs, a resource family was generated from a cross between two Berkshire grand sires and nine Yorkshire grand dams. A total of 525 F-2 progeny from 65 matings of F-1 parents were produced. Phenotypic data on 28 meat quality traits (drip loss, water holding capacity, firmness, color, marbling, per centage cholesterol, ultimate pH, fiber type, and several sensory panel and cooling traits) were collected on the F-2 animals. Animals were genotyped for 125 microsatellite markers covering the entire genome. Least squares regression interval mapping was used for QTL detection. Significance thresholds were determined by permutation tests. A total of 60 QTL were detected at the 5% chromosome level for meat qualify traits, on Chrs 1, 2, 4, 5, 6, 7, 8, 10, 1 1, 12, 13, 14, 15, 17, 18, and X, of which 9 and 1 QTL were significant at the 5% and 1%genome-wise levels ton Chrs 1,5, 12, 15, and 17), respectively.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/09/20 alle ore 10:34:45