How agricultural techniques mediating bottom-up and top-down regulation foster crop protection against pests. A review
Author:
Funder
consortium biocontrôle
Publisher
Springer Science and Business Media LLC
Subject
Agronomy and Crop Science,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13593-023-00870-3.pdf
Reference151 articles.
1. Abad MKR, Fathi SAA, Nouri-Ganbalani G, Amiri-Besheli B (2020) Influence of tomato/clover intercropping on the control of Helicoverpa armigera (Hübner). Int J Trop Insect Sci 40:39–48. https://doi.org/10.1007/s42690-019-00048-z
2. Adhikari A, Reddy GVP (2017) Evaluation of trap crops for the management of wireworms in spring wheat in Montana. Arthropod Plant Interact 11:755–766. https://doi.org/10.1007/s11829-017-9533-5
3. Alyokhin A, Nault B, Brown B (2020) Soil conservation practices for insect pest management in highly disturbed agroecosystems. A review. Entomol Exp Appl 168:7–27. https://doi.org/10.1111/eea.12863
4. Babarinde SA, Kolawole GO (2012) Efficacy of intercropping and harvest time modification for reducing field infestation of maize by Sitophilus zeamais Motschulsky (Coleoptera: Curculionidae). Arch Phytopathol Plant Prot 45:539–546. https://doi.org/10.1080/03235408.2011.587996
5. Balmer O, Géneau CE, Belz E et al (2014) Wildflower companion plants increase pest parasitation and yield in cabbage fields: experimental demonstration and call for caution. Biol Control 76:19–27. https://doi.org/10.1016/j.biocontrol.2014.04.008
Cited by 3 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
1. A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field;Microprocessors and Microsystems;2023-11
2. Are innovative cropping systems less dependent on synthetic pesticides to treat Septoria leaf blotch (Zymoseptoria tritici) than conventional systems?;Crop Protection;2023-08
3. Heterogeneous Features and Deep Learning Networks Fusion-Based Pest Detection, Prevention and Controlling System Using Iot and Pest Sound Analytics in a Wide Agriculture System;2023
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