Prediction of coumestrol content in unirrigated lucerne crops using weather variables
NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH(2019)
摘要
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.
更多查看译文
关键词
Alfalfa,climate,coumestan,crop model,humidity,phyto-oestrogen,sheep,tree regression
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要