DOI QR코드

DOI QR Code

Nutrient requirements and evaluation of equations to predict chemical body composition of dairy crossbred steers

  • Received : 2019.10.22
  • Accepted : 2020.06.16
  • Published : 2021.04.01

Abstract

Objective: Objectives were to estimate energy and protein requirements of dairy crossbred steers, as well as to evaluate equations previously described in the literature (HH46 and CS16) to predict the carcass and empty body chemical composition of crossbred dairy cattle. Methods: Thirty-three Holstein×Zebu steers, aged 19±1 months old, with an initial shrunk body weight (BW) of 324±7.7 kg, were randomly divided into three groups: reference group (n = 5), maintenance level (1.17% BW; n = 4), and the remaining 24 steers were randomly allocated to 1 of 4 treatments. Treatments were: intake restricted to 85% of ad libitum feed intake for either 0, 28, 42, or 84 d of an 84-d finishing period. Results: The net energy and the metabolizable protein requirements for maintenance were 0.083 Mcal/EBW0.75/d and 4.40 g/EBW0.75, respectively. The net energy (NEG) and protein (NPG) requirements for growth can be estimated with the following equations: NEG (Mcal/kg EBG) = $0.2973_{({\pm}0.1212)}{\times}EBW^{0.4336_{({\pm}0.1002)}$ and NPG (g/d) = 183.6(±22.5333)×EBG-2.0693(±4.7254)×RE, where EBW, empty BW; EBG, empty body gain; and RE, retained energy. Crude protein (CP) and ether extract (EE) chemical contents in carcass, and all the chemical components in the empty body were precisely and accurately estimated by CS16 equations. However, water content in carcass was better predicted by HH46 equation. Conclusion: The equations proposed in this study can be used for estimating the energy and protein requirements of crossbred dairy steers. The CS16 equations were the best estimator for CP and EE chemical contents in carcass, and all chemical components in the empty body of crossbred dairy steers, whereas water in carcass was better estimated using the HH46 equations.

Keywords

References

  1. National Academies of Sciences, Engineering, and Medicine. Nutrient requirements of beef cattle. 8th ed. Washington, DC, USA: The National Academies Press; 2016. https://doi.org/10.17226/19014
  2. Valadares Filho SC, Costa e Silva LF, Gionbelli MP, et al. Nutrient requirements of Zebu and crossbred cattle (BR-CORTE). 3rd ed. Visconde do Rio Branco, MG, Brazil: Suprema Grafica Ltda; 2016. https://doi.org/10.5935/978-85-8179-111-1.2016B002
  3. Samuelson KL, Hubbert ME, Galyean ML, Loest CA. Nutritional recommendations of feedlot consulting nutritionists: the 2015 New Mexico State and Texas Tech University survey. J Anim Sci 2016;94:2648-63. https://doi.org/10.2527/jas.2016-0282
  4. Sistema de producao de leite com recria de novilhas em sistemas silvipastoris [Internet]. Juiz de Fora, MG, Brazil: Embrapa Gado de Leite; c2005 [cited 2019 Apr 24]. Available from: https://sistemasdeproducao.cnptia.embrapa.br/Fontes HTML/Leite/LeiteRecriadeNovilhas/index.htm
  5. Madalena FE, Peixoto MGCD, Gibson J. Dairy cattle genetics and its applications in Brazil. Livest Res Rural Dev 2012;24:97.
  6. Oliveira CA, Millen DD. Survey of the nutritional recommendations and management practices adopted by feedlot cattle nutritionists in Brazil. Anim Feed Sci Technol 2014;197:64-75. https://doi.org/10.1016/j.anifeedsci.2014.08.010
  7. Hankins OG, Howe PE. Estimation of the composition of beef carcasses and cuts. In: Technical Bulletins No. 926. Washington, DC, USA: USDA; 1946. pp. 1-19.
  8. Kraybill HF, Bitter HL, Hankins OG. Body composition of cattle. II. Determination of fat and water content from measurement of body specific gravity. J Appl Physiol 1952;4:575-83. https://doi.org/10.1152/jappl.1952.4.7.575
  9. De Paula NF, Tedeschi LO, Paulino MF, Fernandes HJ, Fonseca MA. Predicting carcass and body fat composition using biometric measurements of grazing beef cattle. J Anim Sci 2013;91:3341-51. https://doi.org/10.2527/jas.2012-5233
  10. Paulino PVR, Costa MAL, Valadares Filho SC, et al. Validation of the equations proposed by Hankins and Howe for estimating the carcass composition of zebu cattle and development of equations to predict the body composition. Rev Bras Zootec 2005;34:327-39. https://doi.org/10.1590/S1516-35982005000100037
  11. Marcondes MI, Valadares Filho SC, Paulino PVR, et al. Predicting body and carcass composition using the section between 9th and 11th ribs in Nellore cattle. Rev Bras Zootec 2009; 38:1597-604. https://doi.org/10.1590/S1516-35982009000800026
  12. Costa e Silva LF, Valadares Filho SC, Rotta PP, et al. Prediction of body and carcass composition of beef cattle. In: Valadares Filho SC, Costa e Silva LF, Gionbelli MP, et al editors. Nutrient requirements of Zebu and crossbred cattle (BR-CORTE). 3rd ed. Visconde do Rio Branco, MG, Brazil: Suprema Grafica Ltda; 2016. pp. 119-42. https://doi.org/10.5935/978-85-8179-111-1.2016B002
  13. Costa e Silva LF, Valadares Filho SC, Engle TE, et al. Macrominerals and trace element requirements for beef cattle. PLoS One 2015;10:e0144464. https://doi.org/10.1371/journal.pone.0144464
  14. Latimer GW; AOAC International. Official methods of analysis of AOAC International. 19th ed. Gaithersburg, MD, USA: AOAC International; 2012.
  15. Horwitz W, Latimer GW; AOAC International. Official methods of analysis of AOAC International. 18th ed. Gaithersburg, MD, USA: AOAC International; 2006.
  16. Mertens DR. Gravimetric determination of amylase-treated neutral detergent fiber in feeds with refluxing in beakers or crucibles: collaborative study. J AOAC Int 2002;85:1217-40.
  17. Licitra G, Hernandez TM, Van Soest PJ. Standardization of procedures for nitrogen fractionation of ruminant feeds. Anim Feed Sci Technol 1996;57:347-58. https://doi.org/10.1016/0377-8401(95)00837-3
  18. Detmann E, Valadares Filho SC. On the estimation of non-fibrous carbohydrates in feeds and diets. Arq Bras Med Vet Zootec 2010;62:980-4. https://doi.org/10.1590/S0102-09352010000400030
  19. Committee on Animal Nutrition, National Research Council. Nutrient requirements of dairy cattle. 7th ed. Washington, DC, USA: National Academies Press; 2001.
  20. Committee on Animal Nutrition, National Research Council. Nutrient requirements of beef cattle. 7th ed. Washington, DC, USA: National Academies Press; 1996.
  21. AOAC International. Official methods of analysis of the AOAC International. 15th ed. Arlington, VA, USA: AOAC International; 1990.
  22. Agricultural Research Council. The nutrient requirements of ruminant livestock. Slough, UK: Commonwealth Agricultural Bureaux; 1980.
  23. Kobayashi K, Salam MU. Comparing simulated and measured values using mean squared deviation and its components. Agron J 2000;92:345-52. https://doi.org/10.2134/agronj2000.922345x
  24. Tedeschi LO. Assessment of the adequacy of mathematical models. Agric Syst 2006;89:225-47. https://doi.org/10.1016/j.agsy.2005.11.004
  25. Fortin A, Simpfendorfer S, Reid JT, Ayala HJ, Anrique R, Kertz AF. Effect of level of energy intake and influence of breed and sex on the chemical composition of cattle. J Anim Sci 1980;51:604-14. https://doi.org/10.2527/jas1980.513604x
  26. Abraham HC, Carpenter ZL, King GT, Butler OD. Relationships of carcass weight, conformation and carcass measurements and their use in predicting beef carcass cutability. J Anim Sci 1968;27:604-10. https://doi.org/10.2527/jas1968.273604x
  27. Kempster AJ. Genetic variation in the carcass characteristics of cattle, sheep and pigs. World Rev Anim Prod 1979;15:9-21.
  28. Nour AYM, Thonney ML, Stouffer JR, White WRC. Muscle, fat and bone in serially slaughtered large dairy or small beef cattle fed corn or corn silage diets in one of two locations. J Anim Sci 1981;52:512-521. https://doi.org/10.2527/jas1981.523512x
  29. Nour AYM, Thonney ML. Technical note: chemical composition of Angus and Holstein carcasses predicted from rib section composition. J Anim Sci 1994;72:1239-41. https://doi.org/10.2527/1994.7251239x
  30. Marcondes MI, Tedeschi LO, Valadares Filho SC, Chizzotti ML. Prediction of physical and chemical body compositions of purebred and crossbred Nellore cattle using the composition of a rib section. J Anim Sci 2012;90:1280-90. https://doi.org/10.2527/jas.2011-3839