832 resultados para Dairy products industry.
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Bibliography: p. 96-97.
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"This publication is based on Department bulletin 1401, Marketing peanuts, by Harold J. Clay and Paul M. Williams, Marketing Specialists, issued in 1926."
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"National Economics Division, Economics and Statistics Service, U.S. Dept. of Agriculture"--P. iii.
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Includes index.
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Cover title.
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Contribution from the Bureau of Animal Industry.
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Description based on: June 1982.
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A. Metalworking.--B. Mining.--C. Apparel.--D. Electric light and power and warehousing and storage.--E. Structural clay products.--F. Services.--G. Retail trade.--H. Footwear.--I. Bakeries.--J. Tobacco.--K. Paper and allied products.--L. Textiles.--M. Chemicals.--N. Furniture.--O. Candy and chocolates.--P. Leather tanning, currying and finishing.--Q. Meat products.--R. Gas utilities.--S. Wholesale drugs.--T. Glassware.--U. Mechanical rubber goods.--V. Copper alloying, rolling and drawing.--W. Lumber.
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Mode of access: Internet.
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"BE-799."
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A series of pamphlets by members of the faculty of the University of California.
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The relationship between reported treatments of lameness, metabolic disorders (milk fever, ketosis), digestive disorders, and technical efficiency (TE) was investigated using neutral and non-neutral stochastic frontier analysis (SFA). TE is estimated relative to the stochastic frontier production function for a sample of 574 Danish dairy herds collected in 1997. Contrary to most published results, but in line with the expected negative impact of disorders on the average cow milk production, herds reporting higher frequencies of milk fever are less technically efficient. Unexpectedly, however, the opposite results were observed for lameness, ketosis, and digestive disorders. The non-neutral stochastic frontier indicated that the opposite results are due to the relative. high productivities of inputs. The productivity of the cows is also reflected by the direction of impact of herd management variables. Whereas efficient farms replace cows more frequently, enroll heifers in production at an earlier age, and have shorter calving intervals, they also report higher frequency of disorder treatments. The average estimated energy corrected milk loss per cow is 1036, 451 and 242 kg for low, medium and high efficient farms. The study demonstrates the benefit of the stochastic frontier production function involving the estimation of individual technical efficiencies to evaluate farm performance and investigate the source of inefficiency. (C) 2004 Elsevier B.V. All rights reserved.
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Corn and soyabeans may not be available in many countries particularly those which do not have sufficient foreign currency or the capacity to grow them. This paper outlines strategies that may be important under these circumstances. Alternative feedstuffs and various feeding systems may be used to support poultry production. Alternative ingredients such as rice bran, pearl millet, cottonseed meal and grain legumes are discussed. Evidence is presented showing that amino acid requirements of layers and broilers may be too generous particularly in countries where climate, management and disease can impose production constraints. The ability of finishing broilers to perform well on very low-energy diets allows the inclusion of alternative feeds and by-products into formulations. Very low protein diets based on cereals and free amino acids can be used for layers without loss of performance. Self-selection of feedstuffs may be an important strategy in reducing feed costs of broilers and layers. The concept of matching production with available feed resources may compromise broiler growth and egg production, but in many countries this may be the most economical choice. Countries in the humid tropics usually have reduced poultry performance. The effects of high temperature and humidity are difficult to overcome. The vexed questions of the escalation in the price of fossil fuel and the outbreak of avian influenza, both seemingly without a solution, are clouds hanging over an otherwise buoyant industry.
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Milk protein production can be influenced by several factors, including environment, disease status, parity, stage of lactation, breed, genetic merit and the nutritional status of the animal (DePeters and Cant 1992). A combination of, or an interaction between, these factors can significantly affect milk protein production. Our study aims to identify the main factors affecting milk protein concentration in dairy cattle in the south-east Queensland region.