• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Monitoring Diet Quality and Projecting Body Condition Score in Cattle Using Fecal Near Infrared Spectroscopy and NUTBAL on a Southern Arizona Rangeland
【24h】

Monitoring Diet Quality and Projecting Body Condition Score in Cattle Using Fecal Near Infrared Spectroscopy and NUTBAL on a Southern Arizona Rangeland

机译：使用粪便近红外光谱法和NUTBAL在亚利桑那州南部的牧场上监测牛的饮食质量和预计的身体状况得分

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Range cattle grazing in semi-arid regions are commonly limited by lack of nutrients from low-quality forage. Due to this, ranchers are faced with the challenge of monitoring diet quality in order to address nutrient limitations. Near infrared spectroscopy (NIRS) of fecal samples is a method used to determine diet quality values like crude protein (CP) and digestible organic matter (DOM) in grazing animals. When combined with a nutritional balance analyzer such as the NUTBAL system, fecal NIRS can be used to monitor diet quality and project animal performance. Our research aimed to test the ability of NUTBAL to project animal performance as represented by body condition score (BCS) in cattle (n = 82 Animal Units) grazing on the Santa Rita Experimental Range (SRER) in southern Arizona. Previous work conducted on other Arizona rangelands led to the hypothesis that fecal NIRS coupled with NUTBAL can be used to monitor diet quality and project BCS in a southern Arizona commercial grazing operation. Data collection occurred between June 2016 and June 2017. Standing biomass and botanical composition were measured before each grazing period, and relative utilization was measured following each grazing period. During the midpoint of grazing in each pasture, 30 body condition scores and a fecal composite of 15 samples were collected. Fecal derived diet quality varied between a maximum of 10.75% CP and 61.25% DOM in early August 2016, to a minimum value of 4.00 % CP and 58.40 % DOM in March 2017. This study confirmed the ability of fecal NIRS paired with NUTBAL to project future BCS within 0.5 a score point more than 80% of the time in cattle grazing on the SRER. With this information, cattle managers in southern Arizona can better address animal performance needs and nutrient deficiencies.
机译：在半干旱地区放牧的放牧牛通常受到劣质牧草缺乏营养的限制。因此，牧场主面临着监控饮食质量以解决营养限制的挑战。粪便样品的近红外光谱（NIRS）是一种用于确定放牧动物日粮质量值的方法，例如粗蛋白（CP）和可消化的有机物（DOM）。当与营养平衡分析仪（如NUTBAL系统）结合使用时，粪便NIRS可用于监测饮食质量和预测动物的表现。我们的研究旨在测试NUTBAL预测动物性能的能力，以在亚利桑那州南部圣塔丽塔实验场（SRER）上放牧的牛（n = 82动物单位）的身体状况评分（BCS）为代表。先前在其他亚利桑那州牧场进行的工作得出这样的假设，即粪便NIRS与NUTBAL结合可用于监测饮食质量并在亚利桑那州南部的商业放牧作业中预测BCS。数据收集发生在2016年6月至2017年6月之间。在每个放牧期之前测量站立的生物量和植物组成，并在每个放牧期之后测量相对利用率。在每个牧场的放牧中点，收集了30个身体状况评分和15个样本的粪便混合物。粪便衍生的饮食质量在2016年8月上旬的最高10.75％CP和61.25％DOM之间变化，到2017年3月的最低值4.00％CP和58.40％DOM之间变化。这项研究证实了粪便NIRS与NUTBAL配对的预测能力在SRER放牧的牲畜中，未来的BCS得分在0.5分之内的时间超过80％。有了这些信息，亚利桑那州南部的牲畜饲养者就可以更好地满足动物的性能需求和营养缺乏。

著录项

  • 作者

    Turner, Rachel Joy.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Range management.;Animal sciences.
  • 学位 M.S.
  • 年度 2017
  • 页码 87 p.
  • 总页数 87
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号