Sixth Edition!

Spedding, Patrick; Watt, Paul; Scott, Derek B.

doi:10.4324/9780429350375-2

Cited by 1 publication

(1 citation statement)

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“…According to Higley et al [39] and Peterson [18], insect herbivores can be grouped into categories known as injury guilds based on plant response, such as population or stand reduction, leaf-mass reduction, leaf photosynthetic-rate reduction, leaf senescence alteration, light reduction, assimilate removal, water-balance disruption, seed or fruit destruction, architecture modification, and phenological disruption. From an agronomic and pest management perspective, injury guilds can be used to develop multiple-species economic injury levels (EILs), as well contribute to accurate pest sampling programs [8,18,67,68]. However, results from this study suggest that injury from S. bosqueella and S. cosmioides most likely cannot be placed in the same injury guild for peanut cultivars that belongs to the runner vegetative group.…”

Section: Discussionmentioning

confidence: 90%

Detection of Defoliation Injury in Peanut with Hyperspectral Proximal Remote Sensing

et al. 2020

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Remote sensing can be applied to optimize efficiency in pest detection, as an insect sampling tool. This efficiency can result in more precise recommendations for decision making in pest management. Pest detection with remote sensing is often feasible because plant biotic stress caused by herbivory triggers a defensive physiological response in plants, which generally results in changes to leaf reflectance. Therefore, the key objective of this study was to use hyperspectral proximal remote sensing and gas exchange parameters to characterize peanut leaf responses to herbivory by Stegasta bosqueella (Lepidoptera: Gelechiidae) and Spodoptera cosmioides (Lepidoptera: Noctuidae), two major pests in South American peanut (Arachis hypogaea) production. The experiment was conducted in a randomized complete block design with a 2 × 3 factorial scheme (two lepidopterous species and 3 categories of injury). The injury treatments were: (1) natural infestation by third instars of S. bosqueella, (2) natural infestation by third instars of S. cosmioides, and (3) simulation of injury with scissors to mimic larval injury. We verified that peanut leaf reflectance is different between herbivory by the two larval species, but similar among real and simulated defoliation. Similarly, we observed differences in photosynthetic rate, stomatal conductance, transpiration, and photosynthetic water use efficiency only between species but not between real and simulated larval defoliation. Our results provide information that is essential for the development of sampling and economic thresholds of S. bosqueella and S. cosmioides on the peanut.

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