Feasible sampling plan for adults of Aleurocanthus woglumi Ashby (Hemiptera: Aleyrodidae) in orange orchards

Santana, Alex Fabiano Bertollo; Lima, Ana Paula Santana; Pinheiro, Aline; Santana, Emile Dayara Rabelo; Nascimento, Luís Fernando de Andrade; Santos, Ane Caroline Celestino; Silva, Jefferson E.; Bacci, Leandro

doi:10.1016/j.cropro.2022.106002

Cited by 1 publication

(8 citation statements)

References 29 publications

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“…The sampling techniques used to monitor insect pests on crops must be simple, accurate, representative, and efficient [27,29]. Despite having detected significant densities of caterpillars in soybean fields by all the sampling techniques used in this study, data analysis revealed they had very different efficiencies.…”

Section: Discussionmentioning

confidence: 78%

“…A beating tray was the best technique for sampling caterpillars, as it showed adequate accuracy (with a relative variance lower than 25%) and a shorter sampling time in all phenological stages of the soybean plants. Sampling techniques that assess pest densities with a relative variance below 25% are more accurate and representative [16,29]. In addition, the technique that has a shorter sampling time favors the generation of low-cost sampling plans and, therefore, is practicable [16,29].…”

Section: Discussionmentioning

confidence: 99%

“…Sampling techniques that assess pest densities with a relative variance below 25% are more accurate and representative [16,29]. In addition, the technique that has a shorter sampling time favors the generation of low-cost sampling plans and, therefore, is practicable [16,29]. Although the beating cloth and direct counting techniques are the most used in soybean crops [7,12,16], they are not the most accurate and present higher execution times and costs than the beating tray technique.…”

Section: Discussionmentioning

confidence: 99%

“…For this calculation, error values ranging from 5 to 25% were used. These values were used because they are appropriate for generating a representative decision-making system for IPM programs [25,27,29]. Therefore, the error adopted for the final calculation was the lowest error value for which there was little variation in the number of samples and allowed the generation of a feasible sampling plan.…”

Section: Number Of Samples From the Sampling Planmentioning

confidence: 99%

“…Therefore, the error adopted for the final calculation was the lowest error value for which there was little variation in the number of samples and allowed the generation of a feasible sampling plan. In other words, a sampling time that is up to one hour [27,29].…”

Section: Number Of Samples From the Sampling Planmentioning

confidence: 99%

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New Decision-Making Control System for Caterpillars on Soybean Fields

Pereira,

Lopes,

Reis

et al. 2023

Agronomy

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Decision-making systems are essential to integrated pest management (IPM) programs, particularly in the context of soybean (Glycine max), the world’s most cultivated legume. As agricultural practices change, including adopting new cultivars, planting seasons, and planting regions, the challenges in pest management, mainly caterpillars (Lepidoptera larvae), also change. To address this, this study aimed to devise an updated decision-making approach tailored to the current soybean field conditions. Over two years, caterpillar densities were evaluated in 38 commercial soybean fields. The beating tray sampling technique was superior in precision and efficiency compared to the direct counting and beating cloth techniques. This technique involved assessing 61 plants per field to determine caterpillar density. Economic thresholds were determined at 7.11 caterpillars per beating tray for vegetative stages and 3.60 for reproductive stages. The new proposed sampling system was validated and demonstrated more precise and representative caterpillar density determination than the standard beating cloth system. Both methods exhibited similar costs and execution times. Therefore, this refined decision-making system has the potential for incorporation into soybean IPM programs due to its accuracy, representativeness, feasibility, speed, and cost-effectiveness. This study underscores the viability of integrating the newly developed decision-making system to enhance soybean pest management strategies.

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Section: Discussionmentioning

confidence: 78%