Literature DB >> 20101474

Evaluation of the change of serum copper and zinc concentrations of dairy cows with subclinical ketosis.

Zhigang Zhang1, Guowen Liu, Xiaobing Li, Li Gao, Changming Guo, Hongbin Wang, Zhe Wang.   

Abstract

Ketosis in dairy cows can lead to poor reproductive success and decreased milk production. Since the serum concentrations of copper (Cu) and zinc (Zn) are closely associated with the health status of cows, we investigated whether serum concentrations of Cu and Zn differed in dairy cows with subclinical ketosis and healthy dairy cows. Blood samples of 19 healthy dairy cows and 15 subclinically ketotic dairy cows were collected from three farms, and the concentrations of β-hydroxybutyrate (BHBA), glucose, non-esterified fatty acids (NEFA), Cu, and Zn were determined. Subclinically ketotic dairy cows had significantly higher BHBA and NEFA levels (p < 0.01) and lower glucose (p < 0.01) than healthy dairy cows. Likewise, serum concentrations of Zn were significantly decreased (p < 0.05) in dairy cows with subclinical ketosis. There was no significant difference observed for serum Cu concentration between healthy and subclinically ketotic dairy cows. This study suggests that a decreased serum Zn concentration could be a cause of decreased reproductive performance in subclinically ketotic dairy cows.

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Year:  2010        PMID: 20101474     DOI: 10.1007/s12011-009-8606-4

Source DB:  PubMed          Journal:  Biol Trace Elem Res        ISSN: 0163-4984            Impact factor:   3.738


  2 in total

1.  Predicting ketosis during the transition period in Holstein Friesian cows using hematological and serum biochemical parameters on the calving date.

Authors:  Seungmin Ha; Seogjin Kang; Manhye Han; Jihwan Lee; Hakjae Chung; Sang-Ik Oh; Suhee Kim; Jinho Park
Journal:  Sci Rep       Date:  2022-01-17       Impact factor: 4.379

2.  Optimization of total phenolic content from Terminalia chebula Retz. fruits using response surface methodology and evaluation of their antioxidant activities.

Authors:  Zunlai Sheng; Jiahong Zhao; Ishfaq Muhammad; Ying Zhang
Journal:  PLoS One       Date:  2018-08-14       Impact factor: 3.240

  2 in total

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