利用区域特异性粪便近红外光谱预测德克萨斯州爱德华兹高原牧场肉牛的营养监测

Rangelands Pub Date : 2025-04-01 DOI:10.1016/j.rala.2024.11.004

Douglas R. Tolleson , William E. Fox , William E. Pinchak , Jay P. Angerer

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引用次数: 0

摘要

•确定放牧饲料的质量仍然是牲畜营养建模和监测的一个挑战。•用于完成这项任务的一种方法是粪便近红外光谱（FNIRS）与营养平衡分析仪模型（Nutbal）相结合。•德克萨斯州爱德华兹高原的FNIRS-Nutbal系统用户观察到牧场饮食质量预测不准确。•应用区域特异性FNIRS校准改进了该地区放牧动物饲料质量的估计。•通过FNIRS-Nutbal系统对爱德华兹高原牧场放牧肉牛的营养监测足够准确（体况评分±0.5，发生率为80%），可以为管理决策提供信息，但确实发生了对动物生产性能的错误预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Nutritional monitoring of rangeland beef cattle in the Edwards Plateau of Texas using region-specific fecal near-infrared spectroscopy predictions of diet quality

•
Determining the quality of grazed forage remains a challenge for nutritional modeling and monitoring in livestock.
•
One method used to accomplish this task has been near-infrared spectroscopy of feces (FNIRS) combined with the Nutritional Balance Analyzer Model (Nutbal).
•
Users of the FNIRS-Nutbal system in the Edwards Plateau of Texas have observed inaccurate predictions of diet quality on rangelands.
•
Application of a regional-specific FNIRS calibration improved the estimation of grazing animal diet quality in this region.
•
Nutritional monitoring of beef cows grazing Edwards Plateau rangeland via the FNIRS-Nutbal system was accurate enough (± 0.5 body condition score, 80% occurrence) to inform management decisions, but incorrect predictions of animal performance did occur.

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来源期刊

Rangelands

CiteScore

4.20

自引率

0.00%

发文量