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首页> 外文学位 >Assessing persistence, productivity, animal preference, forage quality and botanical composition of rotationally grazed perennial cool season grasses and clovers grown in monoculture and binary mixtures in Michigan.
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Assessing persistence, productivity, animal preference, forage quality and botanical composition of rotationally grazed perennial cool season grasses and clovers grown in monoculture and binary mixtures in Michigan.

机译：评估密歇根州单种养殖和二元混合物种植的多年生旋转放牧多年生凉草和三叶草的持久性，生产力，动物偏好，草料质量和植物组成。

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摘要

Most perennial cool season grasses and clovers introduced to Michigan have not been evaluated in binary mixtures. The objectives of this study, which was conducted over five growing seasons at three different latitudes in Michigan were: (i) to determine persistence and productivity of perennial grass and clover species grown in monoculture and binary mixtures under three different latitudes in Michigan; (ii) to determine botanical composition of grass-clover binary mixtures over time; (iii) to determine animal preference and forage quality of these species under rotational grazing, and (iv) to evaluate the use of Near-Infrared Reflectance Spectroscopy (NIRS) to predict the species composition using three calibration equations. Grass-clover binary mixtures resulted in greater persistence, increased ground cover, greater animal preference and higher forage quality than grass or clover growing in monoculture. However, persistence of both perennial grass and clover was related to the site of the study. Kura clover provided the highest dry matter (DM) yield (tones acre-1) and exceptional persistence under grazing particularly at southern part of Michigan. NIRS had higher prediction accuracy with R2 ranging from 0.67 to 0.72 and SEP from 6.9 to 12.8 respectively using equations generated from hand separations of several grass and clover species. NIRS can be used to replace the hand separation method to determine botanical composition pasture species using a calibration equation developed from a large data set of hand-separated samples.
机译：引入密歇根州的大多数多年生凉季草和三叶草尚未进行二元混合物评估。在密歇根州三个不同纬度的五个生长季节中进行的这项研究的目标是：（i）确定在密歇根州三个不同纬度下以单一栽培和二元混合物种植的多年生草和三叶草物种的持久性和生产力； （ii）确定随时间推移的草-三叶草二元混合物的植物成分； （iii）确定在旋转放牧条件下这些物种的动物偏好和草料质量，以及（iv）使用三个校准方程评估使用近红外反射光谱法（NIRS）预测物种组成的情况。与单一种植中的草或三叶草相比，草－三叶草的二元混合物产生了更大的持久性，更大的地被覆盖率，更好的动物偏好和更高的草料质量。但是，多年生草和三叶草的持久性都与研究地点有关。库拉三叶草提供了最高的干物质（DM）产量（tones acre-1）和放牧后的持久性，特别是在密歇根州南部。使用从几种草和三叶草物种的手分离产生的方程，NIRS具有更高的预测准确度，R2的范围分别为0.67至0.72和SEP的范围为6.9至12.8。 NIRS可用来代替手工分离方法，该方法使用从大量手工分离样品的大型数据集建立的校准方程式来确定植物成分的牧场种类。

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  • 作者

    Al-Ghumaiz, Nasser S.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Agriculture Agronomy.; Agriculture Animal Culture and Nutrition.; Agriculture Plant Pathology.; Agriculture Soil Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学（农艺学）;饲料;植物病理学;土壤学;
  • 关键词

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