This article presents a model of how farmers choose to custom hire for pest control. The decision-making process is illustrated through a discrete choice experiment conducted via a pilot survey of soybean growers in Michigan, Illinois, and Indiana. Farmers responded to a hypothetical pest infestation by choosing between custom operators, spraying on their own, or leaving the field to its fate.
{"title":"What motivates the choice to custom hire pest management spraying services?","authors":"Braeden Van Deynze, Trey Malone","doi":"10.1002/ps.8494","DOIUrl":"https://doi.org/10.1002/ps.8494","url":null,"abstract":"This article presents a model of how farmers choose to custom hire for pest control. The decision-making process is illustrated through a discrete choice experiment conducted via a pilot survey of soybean growers in Michigan, Illinois, and Indiana. Farmers responded to a hypothetical pest infestation by choosing between custom operators, spraying on their own, or leaving the field to its fate.","PeriodicalId":218,"journal":{"name":"Pest Management Science","volume":"6 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Phthorimaea absoluta, a highly destructive invasive pest, poses a significant threat to tomato production globally. Exploring alternative control methods, such as host plant resistance can contribute to diminish reliance on insecticides and promote sustainable integrated pest management (IPM) practices. Thus, the identification of new P. absoluta-resistant tomato cultivars and potential wild sources for breeding programmes remains imperative. We evaluated the effect of 19 tomato genotypes, comprising 16 domesticated varieties and three wild tomato species, on oviposition output of female P. absoluta, as well as on larval performance under no-choice conditions using detached leaves. We also characterized and quantified glandular and nonglandular trichomes, exploring their potential correlation with the response of P. absoluta to the tomato plants.
绝对蓟马(Phthorimaea absoluta)是一种破坏性极强的入侵害虫,对全球番茄生产构成严重威胁。探索寄主植物抗性等替代控制方法有助于减少对杀虫剂的依赖,促进可持续的害虫综合防治(IPM)实践。因此,为育种计划鉴定抗绝对番茄红素的新番茄栽培品种和潜在野生来源仍然是当务之急。我们评估了 19 种番茄基因型(包括 16 个驯化品种和 3 个野生番茄品种)对雌性 P. absoluta 产卵量的影响,以及在无选择条件下使用离体叶片对幼虫表现的影响。我们还对腺毛和非腺毛进行了定性和定量,探讨了它们与 P. absoluta 对番茄植株反应的潜在相关性。
{"title":"Response of the tomato leaf miner Phthorimaea absoluta to wild and domesticated tomato genotypes","authors":"Ayomide Joseph Zannou, Jörg Romeis, Jana Collatz","doi":"10.1002/ps.8534","DOIUrl":"https://doi.org/10.1002/ps.8534","url":null,"abstract":"<i>Phthorimaea absoluta</i>, a highly destructive invasive pest, poses a significant threat to tomato production globally. Exploring alternative control methods, such as host plant resistance can contribute to diminish reliance on insecticides and promote sustainable integrated pest management (IPM) practices. Thus, the identification of new <i>P. absoluta</i>-resistant tomato cultivars and potential wild sources for breeding programmes remains imperative. We evaluated the effect of 19 tomato genotypes, comprising 16 domesticated varieties and three wild tomato species, on oviposition output of female <i>P. absoluta</i>, as well as on larval performance under no-choice conditions using detached leaves. We also characterized and quantified glandular and nonglandular trichomes, exploring their potential correlation with the response of <i>P. absoluta</i> to the tomato plants.","PeriodicalId":218,"journal":{"name":"Pest Management Science","volume":"80 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The cover image is based on the article Monitoring the leaf damage by the rice leafroller with deep learning and ultra-light UAV by Lang Xia et al., https://doi.org/10.1002/ps.8401.