Definition of the Subject
The beef cattle industry represents a diverse and unique sector of animal agriculture with varying breeds, production climates, and marketing objectives. The industry is not vertically integrated and thus breeding and selection decisions are controlled by individual farmers and ranchers. In the United States, the average herd size is less than 30 cows. However, there exists sound tools from which to make genetic selection decisions to ultimately make genetic change and improve profitability. These tools, some of which have been utilized for decades, are available to all beef cattle producers. The utilization of current genetic selection tools can aid in the profitability and ultimately the sustainability of beef enterprises.
Introduction
The beef cattle industry is comprised of seedstock and commercial producers. In general, genetic improvement, or accumulation of breeding value, occurs in the seedstock sector and flows to the commercial industry via the...
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- Beef Improvement Federation (BIF) accuracy:
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A metric of accuracy that is more conservative than true accuracy. It is linearly related to prediction error variance.
- Bio-economic index:
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A collection of EPD that are relevant to a breeding objective whereby each EPD is multiplied by an economic weight.
- Composite:
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A crossbred animal. Generally thought of in terms of a pedigreed seedstock animal that is a cross of two or more breeds.
- Expected progeny difference:
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Equivalent to half of a breeding value.
- Molecular breeding value:
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The sum of marker effects multiplied by the number of copies of a given marker.
Bibliography
Primary Literature
Marquez GC, Speidel SE, Enns RM, Garrick DJ (2010) Genetic diversity and population structure of American Red Angus cattle. J Anim Sci 88:59–68
Keuhn LA, Van Vleck LD, Thallman RM, Cundiff LV (2008) Across-breed EPD tables for the year 2008 adjusted to breed differences for birth year of 2006. In: Proceedings of beef improvement federation annual meeting. Calgary, Alberta, June 30–July 3, pp 53–77
Capper JL (2010) Comparing the environmental impact of the US beef industry in 1977 to 2007. J Anim Sci 88:(Suppl 2)
Gosey J (1994) Composites: a beef cattle breeding alternative. In: Proceedings of beef improvement federation annual meeting. West Des Moines, 1–4 June 1994, p 93
Nugent RA III, Jenkins TG, Roberts AJ, Klindt J (1993) Relationship of post-partum interval in mature beef cows with nutritional environment, biological type and serum IGF-1 concentrations. Anim Prod 56:193–200
Oijen M, Montano-Bermudez M, Nielsen MK (1993) Economical and biological efficiencies of beef cattle differing in level of milk production. J Anim Sci 71:44–50
Mpoful N (2002) Comparison of indigenous and foreign cattle for beef production at Matopos Research Station in Zimbabwe. In: Proceedings of the 7th world congress on genetics applied to livestock production, Montpellier, France
Bently D, Hegarty R, Alford A (2008) Managing livestock enterprises in Australia’s extensive rangelands for greenhouse gas and environment outcomes: a pastoral company perspective. Aust J Exp Agric 48:60–64
Cundiff LV, Gregory KE (1999) What is systematic crossbreeding? In: Proceedings of NCBA Cattleman’s College, Charlotte, Feb 1999
Cundiff LV, Gregory KE, Koch RM (1994) Breeding cattle for improved product consistency. Presented 1994 national cattlemen’s convention and trade show, Reno, 26–29 Jan 1994
Cundiff LV (1981) Evaluation of maternal breeds. In: Proceedings of the beef cow symposium VII, Rapid City, 7–9 Dec 1981
Lamb MA, Tess MW, Robinson OW (1992) Evaluation of mating systems involving five breeds for integrated beef production systems: I. Cow-calf segment. II. Feedlot segment. III. Integrated system. J Anim Sci 70:689
Winder JA, Rankin BJ, Bailey CC (1992) Maternal performance of Hereford, Brangus, and reciprocal crossbred cows under semidesert conditions. J Anim Sci 70:1032
Ritchie H, Banks D, Buskirk D, Cowley J (1999) Crossbreeding systems for beef cattle. Michigan State University Extension Bulletin E-2701
Gregory KE, Cundiff LV (1980) Crossbreeding in beef cattle: evaluation of systems. J Anim Sci 51:1224–1242
Thallman RM, Hanford KJ, Quaas RL, Kachman SD, Templeman RJ, Fernando RL, Keuhn LA, Pollak EJ (2009) Estimation of the proportion of genetic variation accounted for by DNA tests. In: Proceedings of the 41st beef improvement federation, Sacramento
Stephen K (2008) Incorporation of marker scores into national cattle evaluations. In: Proceedings of the 9th genetic prediction workshop, Kansas City, pp 88–91
MacNeil MD, Nkrumah JD, Woodward BW, Northcutt SL (2010) Genetic evaluation of Angus cattle for carcass marbling using ultrasound and genomic indicators. J Anim Sci 88:517–522
de Roos APW, Hayes BJ, Spelman RJ, Goddard ME (2008) Linkage disequilibrium and persistence of phase in Holstein-Fresian, Jersey, and Angus cattle. Genetics 179:1503–1512
VanRaden PM, Van Tassell CP, Wiggans GR, Sonstegard TS, Schnabel RD, Taylor JF, Schenkel FS (2009) Invited review: reliability of genomic predictions for North American Holstein dairy bulls. J Dairy Sci 92:16–24
Books and Reviews
Beef Improvement Federation (2002) Guidelines for uniform beef improvement programs. Beef Improvement Federation, Athens, Georgia
National beef cattle evaluation consortium (2010) Sire selection manual. National beef cattle evaluation consortium, Lexington, Kentucky
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Spangler, M.L. (2013). Breeding in Beef Cattle . In: Christou, P., Savin, R., Costa-Pierce, B.A., Misztal, I., Whitelaw, C.B.A. (eds) Sustainable Food Production. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5797-8_339
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