Literature DB >> 17609469

Influence of seasonal forage quality on glucose kinetics of young beef cows.

R C Waterman1, E E Grings, T W Geary, A J Roberts, L J Alexander, M D MacNeil.   

Abstract

Extensive range livestock production systems in the western United States rely heavily on rangeland forages to meet the nutritional needs of grazing livestock throughout the year. Interannual variation in the quantity and quality of rangeland forage in the Northern Great Plains, as well as throughout much of the western United States, may play a pivotal role in how well grazing ruminants sequester nutrients in their tissues. This variation in forage quality may influence the ability of a beef cow to utilize dietary nutrients via changes in tissue responsiveness to insulin. Identifying specific periods and production states in which this phenomenon is manifested will provide insight into the development and implementation of strategic and targeted supplementation practices that improve nutrient utilization during times of nutritional imbalance and may improve the lifetime productivity of grazing range beef cows. A 2-yr study was conducted to monitor serum metabolites, glucose kinetics during glucose tolerance tests, and forage chemical composition every 90 d in young cows (2 to 4 yr of age; n = 28). In yr 1 and 2, cows were managed on 4 pastures varying in size from 36 to 76 ha in yr 1 and 49 to 78 ha in yr 2. Regardless of year, cow age, or cow physiological status, the main factor influencing glucose half-life was season of the year (P = 0.02). Effects of season on glucose half-life closely followed assessments describing forage quality, with glucose half-lives of 46, 39, 43, and 51 +/- 3.9 min for May, August, December, and March, respectively. Elevated glucose half-life during seasons in which forage quality is of lower nutritive value indicated that tissue responsiveness to the actions of insulin followed seasonal changes in forage quality. Glucose half-life tended (P = 0.09) to decrease between May and August, increased (P = 0.04) between December and March, and showed a tendency (P = 0.10) to decrease in seasons of greater nutrient density (May and August) compared with seasons of lower nutrient density (December and March). Seasonal changes in serum metabolites were also observed and corresponded with changes in forage quality. The results support our hypothesis that as the season progresses and forage quality declines, maternal tissues become less responsive to insulin, indicating that targeted supplementation with glucogenic precursors during these seasons of nutritional stress may improve cow performance.

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Year:  2007        PMID: 17609469     DOI: 10.2527/jas.2007-0023

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  5 in total

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Authors:  J Travis Mulliniks; Joslyn K Beard
Journal:  J Anim Sci       Date:  2019-03-01       Impact factor: 3.159

2.  Oversupplying metabolizable protein during late gestation to beef cattle does not influence ante- or postpartum glucose-insulin kinetics but does affect prepartum insulin resistance indices and colostrum insulin content.

Authors:  Koryn S Hare; Gregory B Penner; Michael A Steele; Katharine M Wood
Journal:  J Anim Sci       Date:  2022-05-01       Impact factor: 3.338

3.  Chemical Composition, In vitro Gas Production, Ruminal Fermentation and Degradation Patterns of Diets by Grazing Steers in Native Range of North Mexico.

Authors:  M Murillo; E Herrera; F O Carrete; O Ruiz; J S Serrato
Journal:  Asian-Australas J Anim Sci       Date:  2012-10       Impact factor: 2.509

4.  Multi-Cutting Improves Forage Yield and Nutritional Value and Maintains the Soil Nutrient Balance in a Rainfed Agroecosystem.

Authors:  Tengfei Li; Luxi Peng; Hua Wang; Yu Zhang; Yingxin Wang; Yunxiang Cheng; Fujiang Hou
Journal:  Front Plant Sci       Date:  2022-03-01       Impact factor: 5.753

5.  Winter grazing system and supplementation during late gestation influence performance of beef cows and steer progeny.

Authors:  D M Larson; J L Martin; D C Adams; R N Funston
Journal:  J Anim Sci       Date:  2008-11-07       Impact factor: 3.159

  5 in total

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