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Productive performance of Holstein calves finished in feedlot or pasture

Overview of attention for article published in Anais da Academia Brasileira de Ciências, September 2017
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Title
Productive performance of Holstein calves finished in feedlot or pasture
Published in
Anais da Academia Brasileira de Ciências, September 2017
DOI 10.1590/0001-3765201720170115
Pubmed ID
Authors

Ana Maria O Dias, Luis F G DE Menezes, Wagner Paris, Priscila V Dos Santos, Ronaldo R Biesek, Renan D Mafioletti, Renato Marchesan

Abstract

The use of animals from dairy farms is an alternative to meat production since it provides an increment of total income for farmers. This study aims to evaluate the performance of Holstein calves finished in two feeding systems (feedlot or pasture). Forty-three animals with 58 days old and 57 kg were divided in two treatments: 23 animals finished in feedlot with corn silage plus concentrate based on corn and soybean meal (40:60); 20 animals kept in cultivated pastures according to the period of the year: Italian ryegrass (Lolium multiflorum) and pearl millet (Pennisetum americanum) with supplementation with the same feedlot-concentrate at 1% body weight. Animals were slaughtered with 200 kg. Dry matter and nutrient intake were determined, with the use of chromium oxide for estimating pasture intake. Feedlot animals had greater total intake and total digestible nutrients, resulting in higher average daily gain (0.949 vs 0.694 kg day-1). Crude protein intake, neutral detergent fiber and feed conversion did not show significant differences. Holstein calves have improved performance when finished in feedlot.

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Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Student > Master 3 21%
Student > Doctoral Student 2 14%
Professor 1 7%
Other 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Veterinary Science and Veterinary Medicine 3 21%
Environmental Science 1 7%
Computer Science 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 4 29%