Literature DB >> 15583064

A beef herd model for simulating feed intake, animal performance, and manure excretion in farm systems.

C A Rotz1, D R Buckmaster, J W Comerford.   

Abstract

A beef herd submodel was created for integration with other farm components to form a whole-farm model capable of simulating a wide range of beef production systems. This herd submodel determined the best available feed or feed mix to meet the fiber, energy, and protein requirements for each of up to six animal groups on the farm. The groups comprised any combination of cows, nursing calves, young heifers, yearling heifers, stockers, and finishing cattle. Protein, energy, and mineral requirements were determined for each group using the Cornell Net Carbohydrate and Protein System, Level 1. Diets were formulated to meet these requirements with available feeds, and the resulting feed intake, growth, and manure DM and nutrient (N, P, and K) excretions were predicted. Required feed characteristics included CP, ruminally degradable protein, acid detergent insoluble protein, NDF, P, and K concentrations. Feed intake was predicted by considering energy intake, potentially limited by fill, and exceeding a minimum roughage requirement. Fill and roughage limits were functions of feed NDF concentrations adjusted to consider particle size distribution and the relative rate of ruminal digestibility or the physical effectiveness of the fiber. The herd submodel was verified to predict feed intakes, nutrient requirements, diets, and manure excretions similar to those recommended or measured for beef animals. Incorporation of the beef herd submodel with other farm components, including crop growth (alfalfa, grass, corn, small grain, and soybean), harvest, storage, feeding, grazing, and manure handling, provided the Integrated Farm System Model. This comprehensive farm-simulation model is a useful research and teaching tool for evaluating and comparing the long-term performance, economics, and environmental impact of beef, dairy, and crop production systems.

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Year:  2005        PMID: 15583064     DOI: 10.2527/2005.831231x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  5 in total

Review 1.  Biotechnological advancements in alfalfa improvement.

Authors:  Suresh Kumar
Journal:  J Appl Genet       Date:  2011-01-29       Impact factor: 3.240

2.  Modifying the National Research Council weight gain model to estimate daily gain for stockers grazing bermudagrass in the southern United States.

Authors:  Prem Woli; Francis M Rouquette; Charles R Long; Luis O Tedeschi; Guillermo Scaglia
Journal:  J Anim Sci       Date:  2022-02-01       Impact factor: 3.159

Review 3.  Ammonia in the atmosphere: a review on emission sources, atmospheric chemistry and deposition on terrestrial bodies.

Authors:  Sailesh N Behera; Mukesh Sharma; Viney P Aneja; Rajasekhar Balasubramanian
Journal:  Environ Sci Pollut Res Int       Date:  2013-08-28       Impact factor: 4.223

Review 4.  Understanding intake on pastures: how, why, and a way forward.

Authors:  William B Smith; Michael L Galyean; Robert L Kallenbach; Paul L Greenwood; Eric J Scholljegerdes
Journal:  J Anim Sci       Date:  2021-06-01       Impact factor: 3.159

5.  ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics1,2.

Authors:  Luis O Tedeschi
Journal:  J Anim Sci       Date:  2019-04-29       Impact factor: 3.159

  5 in total

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