干旱区生态环境知识资源中心(Arid): A production-scale evaluation of nutritional monitoring and decision support software for free-ranging cattle in an arid environment

Arid

DOI	10.1071/RJ20116
	A production-scale evaluation of nutritional monitoring and decision support software for free-ranging cattle in an arid environment
	Brooks (Turner), Rachel J.; Tolleson, Douglas R.; Ruyle, George B.; Faulkner, Dan B.
通讯作者	Brooks, RJ (corresponding author), Colorado State Land Board, Eaton, CO 80615 USA.
来源期刊	RANGELAND JOURNAL
ISSN	1036-9872
EISSN	1834-7541
出版年	2021
卷号	43 期号:1 页码:35-46
英文摘要	Range cattle in semi-arid regions are commonly limited by lack of nitrogen and other nutrients from grazing low-quality forage, with managers needing to monitor diet quality to address nutrient limitations. Near-infrared spectroscopy of faecal samples (FNIRS) is an accurate method used to determine diet quality in grazing animals. When combined with a nutritional balance software such as the Nutritional Balance Analyser (NUTBAL), FNIRS can monitor nutritional status and estimate weight change. We aimed to test the ability of NUTBAL to predict animal performance as represented by body condition score (BCS) in cattle grazing on a semi-desert rangeland. BCS and faecal samples were collected from a Red Angus herd (n = 82) at the Santa Rita Ranch (June 2016-July 2017). Standing biomass and botanical composition were measured before each grazing period, and relative utilisation was measured following each grazing period. During the midpoint of grazing in each pasture, 30 BCS and a faecal composite of 15 samples were collected. Faecal derived diet quality varied between a maximum of 10.75% crude protein (CP) and 61.25% digestible organic matter (DOM) in early August 2016, to a minimum value of 4.22% CP and 57.68% DOM in January 2017. Three NUTBAL evaluations were conducted to determine the likelihood of accurately predicting animal performance: one with typical user defined inputs; one with improved environment and herd descriptive inputs; and one with these improvements plus the use of metabolisable protein in the model. This third evaluation confirmed the ability of FNIRS:NUTBAL to predict future BCS within 0.5 BCS more than 75% of the time. With this information, cattle managers in semi-arid regions can better address animal performance needs and nutrient deficiencies.
英文关键词	cattle grazing arid environment nutritional monitoring prediction software diet management
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000687236500001
WOS关键词	INFRARED REFLECTANCE SPECTROSCOPY ; PREDICTING DIET QUALITY ; BODY CONDITION ; CLIMATE-CHANGE ; FECAL INDEXES ; FORAGE ; COWS ; REQUIREMENTS ; PERFORMANCE ; GROWTH
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
来源机构	University of Arizona
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364454
作者单位	[Brooks (Turner), Rachel J.] Colorado State Land Board, Eaton, CO 80615 USA; [Tolleson, Douglas R.] Texas A&M AgriLife Res Stn, Sonora, TX 76950 USA; [Ruyle, George B.] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ 85721 USA; [Faulkner, Dan B.] Univ Arizona, Agr Res Stn, Tucson, AZ 85721 USA
推荐引用方式 GB/T 7714	Brooks ,Tolleson, Douglas R.,Ruyle, George B.,et al. A production-scale evaluation of nutritional monitoring and decision support software for free-ranging cattle in an arid environment[J]. University of Arizona,2021,43(1):35-46.
APA	Brooks ,Tolleson, Douglas R.,Ruyle, George B.,&Faulkner, Dan B..(2021).A production-scale evaluation of nutritional monitoring and decision support software for free-ranging cattle in an arid environment.RANGELAND JOURNAL,43(1),35-46.
MLA	Brooks ,et al."A production-scale evaluation of nutritional monitoring and decision support software for free-ranging cattle in an arid environment".RANGELAND JOURNAL 43.1(2021):35-46.