Willis Ochilo, G. Nyamasyo, J. Agan. Within-plant distribution and binomial sequential sampling plan for Tetranychus evansi (Acari: Tetranychidae) in greenhouse tomato: implications for management.. 2020. agriXiv.2020.00011
Within-plant distribution and binomial sequential sampling plan for Tetranychus evansi (Acari: Tetranychidae) in greenhouse tomato: implications for management.
DOI: 10.31220/agriRxiv.2020.00011
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
-
Abstract: Abstract The red spider mite, Tetranychus evansi is a critical pest of tomato in the tropics. Control of T. evansi has traditionally depended on acaricide treatments. However, it is only in a handful of crops where monitoring techniques for mites, using statistical methods, have been developed to help farmers decide when to spray. The objective of this study, therefore, was to develop a sampling plan that would help farmers increase accuracy, and reduce the labor and time needed to monitor T. evansi on tomato. The distribution of T. evansi within-plant was aggregated, and intermediate leaves (YFL) was the most appropriate sampling unit to evaluate the mite density. Analysis based on Taylor's Power Law showed an aggregated pattern of distribution of T. evansi , while assessment of the fitness of the binomial model indicated that a tally threshold of 5 mites per YFL provided the best fit. Consequently, binomial sequential sampling plans premised on three action thresholds (0.1, 0.2 and 0.3) were developed. The binomial sequential sampling plan for T. evansi developed in this study has the potential to significantly increase the chance for targeted acaricide applications. This judicious use of pesticides is especially crucial within the context of integrated pest management (IPM).
Key words: t. evansi; binomial; sequential sampling plan; developed; aggregated; miteSubmit time: 1 January 2020
Copyright: The copyright holder for this preprint is the author/funder, who has granted agriXiv a license to display the preprint in perpetuity. -
图表
-
María‐Soledad Benítez, Patrick M. Ewing, Shannon L. Osborne, R. Michael Lehma. Rhizosphere microbial communities explain positive effects of diverse crop rotations on corn and soybean performance: microbiome explain benefits of diverse rotations.. 2020. doi: 10.31220/agriRxiv.2020.00023
Suvita Rani, Shubham Singh, Sujit Bhattachary. What is the impact of India's plant variety protection act? An analytical examination based on registrations under this act.. 2020. doi: 10.31220/agriRxiv.2020.00004
Marino Villavicencio, L. Schuller, Francisco Espinosa, Carlos Noceda, Daynet Sosa, Simón Pérez-Martíne. Foliar endophytic fungi of Theobroma cacao stimulate more than inhibit Moniliophthora spp. growth and behave more as an endophytes than pathogens.. 2020. doi: 10.31220/agriRxiv.2020.00019
Santosh Kalaun. Correlation and path coefficient analysis of seed yield and yield components of French bean ( Phaseolus vulgaris L.) genotypes in sub-tropical region.. 2020. doi: 10.31220/agriRxiv.2020.00001
Misterbino Borgès Garcìa, Yoenia Sánchez Rodríguez, Diana María Reyes Avalo. Respuesta de tubérculos comerciales de ?ame ( Dioscorea spp.) en el momento de la cosecha y almacenamiento poscosecha.. 2020. doi: 10.31220/agriRxiv.2020.00005
Todd S. Rosenstock, M. Mayzelle, Nictor Namoi, Peter Fantk. Climate impacts of natural farming: A cradle to gate comparison between conventional practice and Andhra Pradesh Community Natural Farming.. 2020. doi: 10.31220/agriRxiv.2020.00013
M. Abdullah Shaikh, Michalis Hadjikakou, Brett A. Brya. Patterns and trends in national-level consumption and production-based utilisation of the land-system change planetary boundary.. 2020. doi: 10.31220/agriRxiv.2020.00002
Miranda Bane, Michael J. O. Pocock, Caroline Gibert, Matthieu Forster, Geoffroy Oudoire, Stéphane A. P. Derocles, David Boha. Farmer flexibility concerning future rotation planning is affected by the framing of climate predictions.. 2020. doi: 10.31220/agriRxiv.2020.00025
Inderpreet Dhaliwal, Gaurav Khosla, T. P. Singh, B. S. Gill, Prashant Kaushi. DUS characterization of some released varieties and advanced breeding lines of soybean ( Glycine max L.) under Punjab agroclimatic conditions.. 2020. doi: 10.31220/agriRxiv.2020.00015
K. V. Daniel, Mark A. Bradford, Emma Fuller, Emily E. Oldfield, Stephen A. Woo. Soil organic matter effects on US maize production and crop insurance payouts under drought.. 2020. doi: 10.31220/agriRxiv.2020.00018
-
ID Submit time Number Download 1 2020-01-01 10.31220/agriRxiv.2020.00011V1
Download -
-
Public Anonymous To author only
Get Citation
Article Metrics
- Read: 64
- Download: 0
- Comment: 0
