Selection for High and Low Fatness in Swine

Hetzer, H. O.; Harvey, W. R.

doi:10.2527/jas1967.2661244x

Cited by 111 publications

(34 citation statements)

References 6 publications

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“…The low levels of heritability for BF and WT are probably due to random and environmental variation. Realized heritability estimates in research herds have demonstrated that it is possible to control nongenetic variation so that the portion of the phenotypic variance associated with differences in average breeding values was larger than what was observed in these SPF herds (Hetzer and Harvey, 1967;Rahnefeld and Garnett, 1976). If seedstock producers want to duplicate that progress, they must mimic the selection and management practices of these research herds.…”

Section: Resultsmentioning

confidence: 99%

Genetic and Phenotypic Parameters Estimated From Nebraska Specific-Pathogen-Free Swine Field Records

David

Johnson

Socha

1983

Journal of Animal Science

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SummaryRecords collected during 1971 through 1979 from 101,606 hogs raised in 18 Nebraska Specific Pathogen Free herds were analyzed. Traits considered were backfat at 100 kg (BF), weight at 140 d of age (WT) and, in some analyses, number of live pigs/litter at birth (NBA). The phenotypic correlation of BF and WT, averaged across herds, was -.07. The correlations between BF and NBA and between WT and NBA were .04 and -.05, respectively. Average phenotypic standard deviations for BF, WT and NBA were 2.6 mm, 8.8 kg and 2.0 pigs. Estimates of the heritability of BF and WT were lower than most estimates reported from university research herds. Within breed, herd and sex estimates of heritability ranged from -.22.and .51 (unweighted X, = .16 -+ .025) for BF and ranged from -.28 to .49 (X = .16 + .016) for WT. Estimates of the genetic correlation between BF and WT were extremely variable (X = -.62 + 14.3, range = -9.42 to 1.30) among breed-herd-sex subclasses.

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Section: Resultsmentioning

confidence: 99%

Genetic and Phenotypic Parameters Estimated From Nebraska Specific-Pathogen-Free Swine Field Records

David

Johnson

Socha

1983

Journal of Animal Science

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“…The nicest early example of simple mass selection working in livestock was for fatness in pigs reported by Hetzer and Harvey (1967) of USDA, following proposals by Hazel, in which they obtained a high-low line divergence in backfat depth of 68% of the initial mean after 10 generations in one breed and 44% after 8 generations in another. The realized heritabilities accord with estimates on the trait from elsewhere by variance component analysis.…”

Section: Selection Experiments To Check On and Develop Theorymentioning

confidence: 99%

Applications of Population Genetics to Animal Breeding, from Wright, Fisher and Lush to Genomic Prediction

Hill

2014

Genetics

106

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Although animal breeding was practiced long before the science of genetics and the relevant disciplines of population and quantitative genetics were known, breeding programs have mainly relied on simply selecting and mating the best individuals on their own or relatives' performance. This is based on sound quantitative genetic principles, developed and expounded by Lush, who attributed much of his understanding to Wright, and formalized in Fisher's infinitesimal model. Analysis at the level of individual loci and gene frequency distributions has had relatively little impact. Now with access to genomic data, a revolution in which molecular information is being used to enhance response with "genomic selection" is occurring. The predictions of breeding value still utilize multiple loci throughout the genome and, indeed, are largely compatible with additive and specifically infinitesimal model assumptions. I discuss some of the history and genetic issues as applied to the science of livestock improvement, which has had and continues to have major spin-offs into ideas and applications in other areas.

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“…Fasting serum cholesterol of pigs selected for six generations for rapid body weight gain and leanness was greater than that of pigs selected for slow weight gain and fatness (22). On the other hand, selection for body fatness in swine (23) is not necessarily associated with changes in plasma cholesterol or triglyceride (24), or in susceptibility to atherosclerosis (25).…”

mentioning

confidence: 96%

Heritability of Plasma Cholesterol and Triglyceride Concentrations in Swine

Mersmann

Young

1986

Experimental Biology and Medicine

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Three-hundred and eighteen female swine representing contemporary commercial swine breeds (34 Chester White, 43 Large White, 42 Landrace, 40 Yorkshire, and 159 four-breed crossbreeds) were used to evaluate genetic variation between and within breeds for levels ofplasma cholesterol and plasma triglycerides. Blood was sampled from all pigs after a 16-hr fast at 154 days of age. Plasma cholesterol was measured in all pigs and triglycerides were measured in 232 pigs. Paternal half-sib heritabilities ( h2) for plasma cholesterol and plasma triglycerides were 0.45 k 0.23 and 1.04 k 0.32, respectively. Breed differences were not apparent for either trait. Phenotypic and paternal half-sib genetic correlations between the two traits were 0.16 and 0.66, respectively. Neither body weight nor backfat depth were important in affecting the estimate of h2 for either trait. The relatively high h2 of total plasma cholesterol and of total triglycerides offers the possibility of developing, through selection, populations of hypercholesterolemic or hypertriglyceridemic swine useful as models for studies directed toward further understanding of human cardiovascular disease. 0 1986 Society for Experimental Biology and Medicine. I

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Selection for High and Low Fatness in Swine

Cited by 111 publications

References 6 publications

Genetic and Phenotypic Parameters Estimated From Nebraska Specific-Pathogen-Free Swine Field Records

Genetic and Phenotypic Parameters Estimated From Nebraska Specific-Pathogen-Free Swine Field Records

Applications of Population Genetics to Animal Breeding, from Wright, Fisher and Lush to Genomic Prediction

Heritability of Plasma Cholesterol and Triglyceride Concentrations in Swine

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