INDICES OF COMPETITION FOR ESTIMATING RAPESEED YIELD LOSS DUE TO CANADA THISTLE

Author:

O’SULLIVAN P. A.,WEISS G. M.,KOSSATZ V. C.

Abstract

Data were collected from nine farm fields over 2 yr to determine the relationship between percent yield loss of rapeseed and density of Canada thistle. Regression analyses of the data for percent yield loss of rapeseed and numbers of thistle shoots per square metre, using two representations of the data (untransformed and square root transformation), yielded the following equations:[Formula: see text]and[Formula: see text]where ŷ = estimated percent yield loss of rapeseed, x = the number of Canada thistle shoots per square metre, and 1.48 and 10.42 are the indices of competition for Eqs. 1 and 2, respectively. Equation 1 provides a more accurate estimate of percent yield loss at all levels of thistle infestation. Equation 2 provides acceptable estimates of yield loss at intermediate levels of infestation (5–40 shoots/m2) and is presented for comparitive purposes since the index of competition (10.42) is near the value proposed as a result of extrapolation from earlier studies (10.6) which utilized square root transformation of the data. The significance of this is discussed. The 95% confidence limits for Eq. 1 for the estimated percent rapeseed yield loss when four different samples sizes (n = 1, 5, 10 and 20) are used to estimate the number of thistle shoots per square metre are presented. An example of the utility of the linear equation is presented.Key words: Rapeseed, Canada thistle, crop loss, competition

Publisher

Canadian Science Publishing

Subject

Horticulture,Plant Science,Agronomy and Crop Science

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3