Divergent selection for postweaning feed conversion in Angus beef cattle: I. Mean comparisons. 1991

M D Bishop, and M E Davis, and W R Harvey, and G R Wilson, and B D VanStavern
Anim. Sci. Dept., Ohio State University, Columbus 43210.

Each year from 1979 through 1983, 35 Angus bull calves were selected from a herd at the Eastern Ohio Resource Development Center to be individually fed in a 140-d postweaning performance test. From these 35 individually fed bulls, the three highest and three lowest for feed conversion (feed:gain) were selected and randomly mated to approximately 20 cows each. A different set of high vs low feed conversion sires was used each year. Four replicates (403 progeny) from high vs low sires were evaluated by sire groups for subsequent postweaning and carcass performance. Progeny were slaughtered when estimated by ultrasonic measurement to have 8.9 mm or more of subcutaneous fat at the conclusion of a 140-d postweaning performance test. Progeny with less than 8.9 mm of subcutaneous fat were fed for additional 28-d periods until they reached the required minimum. No differences were found between high and low feed conversion progeny for 140-d feed intake (P less than .30) although high feed conversion progeny gained .09 kg/d more weight (P less than .01) during the 140-d postweaning test. Differences tended to exist between high and low feed conversion progeny for unadjusted (P less than .15) and maintenance-adjusted (P less than .15) feed:gain ratios. Progeny of the high feed conversion group had greater subcutaneous fat (P less than .05) at the end of the 140-d postweaning test and when slaughtered (P less than .05), indicating a genetic difference for composition of BW gain between high- and low-sired progeny. However, no significant differences existed for any other carcass traits evaluated. Bulls had more desirable unadjusted (P less than .001) and maintenance-adjusted (P less than .001) feed:gain ratios than heifers with increased 140-d ADG (P less than .001) and pen feed intakes (P less than .001).

UI MeSH Term Description Entries
D008297 Male Males
D001823 Body Composition The relative amounts of various components in the body, such as percentage of body fat. Body Compositions,Composition, Body,Compositions, Body
D001947 Breeding The production of offspring by selective mating or HYBRIDIZATION, GENETIC in animals or plants. Breedings
D002417 Cattle Domesticated bovine animals of the genus Bos, usually kept on a farm or ranch and used for the production of meat or dairy products or for heavy labor. Beef Cow,Bos grunniens,Bos indicus,Bos indicus Cattle,Bos taurus,Cow,Cow, Domestic,Dairy Cow,Holstein Cow,Indicine Cattle,Taurine Cattle,Taurus Cattle,Yak,Zebu,Beef Cows,Bos indicus Cattles,Cattle, Bos indicus,Cattle, Indicine,Cattle, Taurine,Cattle, Taurus,Cattles, Bos indicus,Cattles, Indicine,Cattles, Taurine,Cattles, Taurus,Cow, Beef,Cow, Dairy,Cow, Holstein,Cows,Dairy Cows,Domestic Cow,Domestic Cows,Indicine Cattles,Taurine Cattles,Taurus Cattles,Yaks,Zebus
D004435 Eating The consumption of edible substances. Dietary Intake,Feed Intake,Food Intake,Macronutrient Intake,Micronutrient Intake,Nutrient Intake,Nutritional Intake,Ingestion,Dietary Intakes,Feed Intakes,Intake, Dietary,Intake, Feed,Intake, Food,Intake, Macronutrient,Intake, Micronutrient,Intake, Nutrient,Intake, Nutritional,Macronutrient Intakes,Micronutrient Intakes,Nutrient Intakes,Nutritional Intakes
D005260 Female Females
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D015430 Weight Gain Increase in BODY WEIGHT over existing weight. Gain, Weight,Gains, Weight,Weight Gains
D016018 Least-Squares Analysis A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model. Rietveld Refinement,Analysis, Least-Squares,Least Squares,Analyses, Least-Squares,Analysis, Least Squares,Least Squares Analysis,Least-Squares Analyses,Refinement, Rietveld

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