Literature DB >> 33640988

Understanding intake on pastures: how, why, and a way forward.

William B Smith1, Michael L Galyean2, Robert L Kallenbach3, Paul L Greenwood4,5, Eric J Scholljegerdes6.   

Abstract

An assessment of dietary intake is a critical component of animal nutrition. Consumption of feed resources is the basis upon which feeding strategies and grazing management are based. Yet, as far back as 1948, researchers have lauded the trials and tribulations of estimation of the phenomenon, especially when focused on grazing animals and pasture resources. The grazing environment presents a unique situation in which the feed resource is not provided to the animal but, rather, the animal operates as the mechanism of harvest. Therefore, tools for estimation must be developed, validated, and applied to the scenario. There are a plethora of methods currently in use for the estimation of intake, ranging from manual measurement of herbage disappearance to digital technologies and sensors, each of which come with its share of advantages and disadvantages. In order to more firmly grasp these concepts and provide a discussion on the future of this estimation, the Forages and Pastures Symposium at the 2020 ASAS-CSAS-WSASAS Annual Meeting was dedicated to this topic. This review summarizes the presentations in that symposium and offers further insight into where we have come from and where we are going in the estimation of intake for grazing livestock.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  digestibility markers; digital technologies; grazing; intake; mathematical models; sensors

Mesh:

Year:  2021        PMID: 33640988      PMCID: PMC8218867          DOI: 10.1093/jas/skab062

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


  50 in total

1.  Comparison of metabolizable energy and productive energy determinations with growing chicks.

Authors:  F W HILL; D L ANDERSON
Journal:  J Nutr       Date:  1958-04-10       Impact factor: 4.798

2.  Evaluation of n-alkanes as digesta markers in dairy cows.

Authors:  O A Ohajuruka; D L Palmquist
Journal:  J Anim Sci       Date:  1991-04       Impact factor: 3.159

3.  Beef Species Symposium: difficulties associated with predicting forage intake by grazing beef cows.

Authors:  S W Coleman; S A Gunter; J E Sprinkle; J P S Neel
Journal:  J Anim Sci       Date:  2014-01-07       Impact factor: 3.159

4.  Effects of frequency of feeding on excretion of chromic oxide, crude protein and gross energy and on nutrient digestibility by steers.

Authors:  R L McGuire; N W Bradley; C O Little
Journal:  J Anim Sci       Date:  1966-02       Impact factor: 3.159

5.  Technical note: Estimation of feed intake while grazing using a wireless system requiring no halter.

Authors:  K Umemura; T Wanaka; T Ueno
Journal:  J Dairy Sci       Date:  2009-03       Impact factor: 4.034

6.  Effects of short-term oilseed supplementation on plasma fatty acid composition, progesterone and prostaglandin F metabolite in lactating beef cows.

Authors:  E J Scholljegerdes; L A Lekatz; K A Vonnahme
Journal:  Animal       Date:  2014-02-26       Impact factor: 3.240

7.  Monitoring and assessment of ingestive chewing sounds for prediction of herbage intake rate in grazing cattle.

Authors:  J R Galli; C A Cangiano; M A Pece; M J Larripa; D H Milone; S A Utsumi; E A Laca
Journal:  Animal       Date:  2017-10-10       Impact factor: 3.240

8.  Effects of ractopamine hydrochloride on performance, rate and variation in feed intake, and acid-base balance in feedlot cattle.

Authors:  C S Abney; J T Vasconcelos; J P McMeniman; S A Keyser; K R Wilson; G J Vogel; M L Galyean
Journal:  J Anim Sci       Date:  2007-07-03       Impact factor: 3.159

9.  Inference of the activity timeline of cattle foraging on a Mediterranean woodland using GPS and pedometry.

Authors:  Eugene D Ungar; Iris Schoenbaum; Zalmen Henkin; Amit Dolev; Yehuda Yehuda; Arieh Brosh
Journal:  Sensors (Basel)       Date:  2010-12-31       Impact factor: 3.576

10.  Comparison of acid-detergent lignin, alkaline-peroxide lignin, and acid-detergent insoluble ash as internal markers for predicting fecal output and digestibility by cattle offered bermudagrass hays of varying nutrient composition.

Authors:  Juvenal Kanani; Dirk Philipp; Kenneth P Coffey; Elizabeth B Kegley; Charles P West; Shane Gadberry; John Jennings; Ashley N Young; Robert T Rhein
Journal:  J Anim Sci Biotechnol       Date:  2014-01-13
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  2 in total

Review 1.  Grassland-based ruminant farming systems in China: Potential, challenges and a way forward.

Authors:  Xin Jiang; Ling Wang
Journal:  Anim Nutr       Date:  2022-04-28

2.  Characterization of grazing behaviour microstructure using point-of-view cameras.

Authors:  Elvira Sales-Baptista; Maria Isabel Ferraz-de-Oliveira; Marina Terra-Braga; José António Lopes de Castro; João Serrano; Manuel Cancela d'Abreu
Journal:  PLoS One       Date:  2022-03-18       Impact factor: 3.240

  2 in total

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