five

Prediction of coumestrol content in unirrigated lucerne crops using weather variables

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://figshare.com/articles/dataset/Prediction_of_coumestrol_content_in_unirrigated_lucerne_crops_using_weather_variables/7093259
下载链接
链接失效反馈
官方服务:
资源简介:
Elevated coumestrol levels in lucerne (Medicago sativa L.) can reduce the reproductive performance of ewes. A model to predict coumestrol content of lucerne between summer and late autumn was developed to assess the risk of a crop having elevated levels. Data from previous studies have shown fungal damage to be the major contributor to coumestrol levels, but the fungal infestation levels that can cause a risk to reproduction in sheep are difficult to quantify. A number of variables were tested and the sum of rainfall and days where relative humidity was over 95% at 0900 h was found to have the best fit with coumestrol content of lucerne crops. The model was then tested with independent data from the literature and field. A decision tree is proposed as a practical user-friendly guide to predict whether coumestrol content is above or below a risk threshold of 25 mg/kg DM.
创建时间:
2018-09-17
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作