title: Partitioning variances of growth in ultrasound longissimus muscle area measures in Angus bulls and heifers.
abstract: The objective of the study was to estimate variance components, heritability, and repeatability of ultrasound longissimus muscle area (ULMA) measures. Data included 4,653 serial ULMA measures from 882 purebred Angus bulls and heifers. Animals were born over a 4-yr period from 1998 to 2001. Each year, bulls and heifers were ultrasonically scanned four to eight times, with a 4- to 6-wk interval between scans. Initially, data were subdivided by scan session across years and were analyzed in a multitrait model (MTM). Data pooled across years and scan session were then analyzed using random regression models (RRM) to estimate trends in genetic parameter estimates. Additive direct genetic variance increased with advancing scan session ranging from 8.67 cm4 at the first scan (mean age = 35 wk) to a maximum of 19.48 cm4 at the sixth scan (mean age = 56 wk). Heritability of ULMA increased from 0.35 at first scan to a maximum of 0.48 at the fourth scan (mean age = 50 wk). Additive direct genetic variance and heritability values at about 1 yr of age (fifth scan) were 18.24 cm4 and 0.45, respectively. Estimates from RRM also showed an increase in sigma(a)2 and h2 with age. Trends in sigma(pe)2 estimates, although tending to fluctuate, also increased with age. Additive direct genetic variance at 1 yr of age ranged from 15.8 cm4 to 17.0 cm4 for the different models. Heritability of yearling ULMA measures ranged from 0.40 to 0.42 and repeatabilities ranged from 0.80 to 0.84. For the range of ages used in the current study, both MTM and RRM showed close to maximum heritability values at around 1 yr of age. Therefore, phenotypic differences in yearling ULMA between Angus cattle are better indicators of genetic differences than earlier measurements. Angus breeders could, therefore, use ULMA measures made at around 1 yr of age to select next generation parents.
authors.affiliation: Department of Animal Science, Iowa State University, Ames 50011, USA. hassen@iastate.edu
authors.forename: A
authors.initials: A
authors.lastname: Hassen
authors.forename: D E
authors.initials: DE
authors.lastname: Wilson
authors.forename: G H
authors.initials: GH
authors.lastname: Rouse
authors.forename: R G
authors.initials: RG
authors.lastname: Tait
mesh_terms: D000818:Animals; D001823:Body Composition / Q000235:genetics* / Q000502:physiology; D001947:Breeding; D002417:Cattle / Q000033:anatomy & histology / Q000235:genetics / Q000254:growth & development*; D005260:Female; D014644:Genetic Variation; D008297:Male; D008460:Meat / Q000592:standards; D018482:Muscle, Skeletal / Q000033:anatomy & histology / Q000000981:diagnostic imaging* / Q000254:growth & development; D012044:Regression Analysis; D014463:Ultrasonography