Document Detail


Predicting cholesterol, progesterone, and days to ovulation using postpartum metabolic and endocrine measures.
MedLine Citation:
PMID:  14507021     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The objective of this study was to examine relationships among metabolic and endocrine factors that may influence ovarian activity during early lactation. Holstein cows (n = 19) were bled twice each week to determine plasma concentrations of insulin (INS), glucose, cholesterol, insulin-like growth factor-1 (IGF-I), and progesterone (P4). Feed intake and milk production were recorded daily while body weights and milk composition were recorded weekly. Relationships among plasma cholesterol and P4, and days to first and second postpartum ovulation were modeled with energy balance (EB), dry matter intake, milk yield and composition, plasma metabolites, and hormones using the backward elimination technique of multivariate regression analysis. Variables that contributed the most to predicting plasma cholesterol concentrations were dry matter intake x SNF using model 1 (production variables) and the square of glucose (i.e., glucose2) using model 3 (plasma hormones and metabolites). For plasma P4 concentrations, EB (model 2, production variables) and IGF-I (model 3, plasma hormones and metabolites) were the major predictors. The production variables EB and percentage of milk lactose were the greatest contributors to the models predicting days to first and second postpartum ovulations, respectively. Of the plasma hormones and metabolites evaluated, IGF-I2 was the most significant predictor of days to first postpartum ovulation, whereas glucose2 and INS were the significant predictors of days to second postpartum ovulation. Plasma IGF-I, glucose, and INS have been implicated in ovarian functions and their significant contributions to these models are consistent with possible important roles in postpartum return to ovarian competence.
Authors:
C C Francisco; L J Spicer; M E Payton
Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of dairy science     Volume:  86     ISSN:  0022-0302     ISO Abbreviation:  J. Dairy Sci.     Publication Date:  2003 Sep 
Date Detail:
Created Date:  2003-09-24     Completed Date:  2003-11-21     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  2985126R     Medline TA:  J Dairy Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2852-63     Citation Subset:  IM    
Affiliation:
Department of Animal Science, Oklahoma State University, Stillwater 74078-0425, USA.
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MeSH Terms
Descriptor/Qualifier:
Animals
Blood Glucose / analysis
Cattle / physiology*
Cholesterol / blood*
Energy Metabolism
Female
Insulin / blood
Insulin-Like Growth Factor I / analysis
Lactation
Lactose / analysis
Milk / chemistry
Models, Biological
Ovulation*
Postpartum Period*
Progesterone / blood*
Time Factors
Chemical
Reg. No./Substance:
0/Blood Glucose; 11061-68-0/Insulin; 57-83-0/Progesterone; 57-88-5/Cholesterol; 63-42-3/Lactose; 67763-96-6/Insulin-Like Growth Factor I

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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