Responses in live weight change to net energy intake in dairy cows-Reference-Cited by-同舟云学术

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Responses in live weight change to net energy intake in dairy cows

Published:2015-11 Issue: Volume:181 Page:163-170
ISSN:1871-1413
Container-title:Livestock Science
language:en
Short-container-title:Livestock Science

Author:

Jensen Charlotte,Østergaard Søren,Bertilsson Jan,Weisbjerg Martin Riis

Funder

Danish Cattle Federation

Danish Agency for Science, Technology and Innovation

Publisher

Elsevier BV

Subject

General Veterinary,Animal Science and Zoology

Reference26 articles.

1. Feed analyses and digestion methods;Åkerlind,2011

2. The effects of low vs. high concentrate level in the diet on performance in cows milked two or three times daily in early lactation;Andersen;Livest. Prod. Sci.,2003

3. Allocation of feed based on individual dairy cow live weight changes: I: feed intake and live weight changes during lactation;Bossen;Livest. Sci.,2009

4. Genotype and diet effects on energy balance in the first three lactations of dairy cows;Coffey;J. Dairy Sci.,2004

5. Relationships between energy balance and health traits of dairy cattle in early lactation;Collard;J. Dairy Sci.,2000

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic weighing algorithm for dairy cows based on time domain features and error compensation;Computers and Electronics in Agriculture;2023-09

2. Supervised learning techniques for dairy cattle body weight prediction from 3D digital images;Frontiers in Genetics;2023-01-05

3. Dynamic Weighing Algorithm for Dairy Cows Based on Time Domain Feature and Error Compensation;2023

4. Effects of a hepatoprotectant and different feed energy sources on milk composition and nutrient partitioning in lactating cows;Revista Brasileira de Saúde e Produção Animal;2023

5. Mining data from milk mid-infrared spectroscopy and animal characteristics to improve the prediction of dairy cow's liveweight using feature selection algorithms based on partial least squares and Elastic Net regressions;Computers and Electronics in Agriculture;2021-05

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