Impact of floating row cover and sensor placement on strawberry anthracnose and Botrytis fruit rot risk assessment

Author:

Cosseboom Scott D.1ORCID,Schoeneberg Anita1,Lea‐Cox John D.1ORCID,Samtani Jayesh2ORCID,Johnson Charles S.3ORCID,Hu Mengjun1ORCID

Affiliation:

1. Department of Plant Science and Landscape Architecture University of Maryland College Park Maryland USA

2. Hampton Roads Agricultural Research and Extension Center Virginia Tech Virginia Beach Virginia USA

3. Southern Piedmont Agricultural Research and Extension Center Virginia Tech Blackstone Virginia USA

Abstract

AbstractDuring the 2019–2020 and 2020–2021 growing seasons, six trials at four sites in Maryland and Virginia, USA were conducted, with leaf wetness and temperature sensors placed at 2 m height at the edge of the field (elevated sensor placement) or at the canopy level (0.5 m) on strawberry beds (canopy sensor placement). Temperature and leaf wetness duration (LWD) data from these sensors were used as input for anthracnose fruit rot (AFR) and Botrytis fruit rot (BFR) infection risk models, and fungicide spray trials were conducted to evaluate the ability of these predictions to control AFR and BFR. On average, the canopy level sensors reported significantly (p < 0.05) longer LWD and higher temperature than elevated sensors during the fruit ripening period. The AFR and BFR risk calculated from the canopy sensors was also significantly higher than that from the elevated sensors. Fungicide spray programmes based on data from either canopy or elevated sensors resulted in fewer applications than weekly spray programmes, but the increased estimated risk based upon conditions within the canopy led to more applications than the elevated sensor treatment in four trials. In one trial with considerable incidence of BFR, plots that were sprayed based on the canopy sensor data controlled BFR significantly better than the elevated sensor spray programme. Springtime temperature, LWD, AFR risk and BFR risk were largely unaffected by autumn row cover deployment. The difference in temperature, LWD and AFR and BFR risk based on sensor placement warrants careful consideration of sensor placement when implementing a disease warning spray programme.

Funder

Northeastern Integrated Pest Management Center, Cornell University

National Institute of Food and Agriculture

Publisher

Wiley

Subject

Horticulture,Plant Science,Genetics,Agronomy and Crop Science

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