Model applicability to predict growth rates of insects throughout the storage of corn (Zea mays L.) grain




Digital sensors, Mathematical modeling, Population monitoring, Thermometry


Insect pest infestation in stored grains can cause several losses during storage, in addition to promoting the spread of fungi, changing the temperature of the grain mass, and reducing the value of the final product. Knowing the behavior of these insect pests and how they reproduce in the grain mass is essential to design more efficient control strategies and ensure a quality final product. Thus, this work aimed to accomplish modeling and simulation of the population growth of insects Rhyzopertha dominica, Sitophilus oryzae, Oryzaephilus surinamensis and Tribolium castaneum throughout the storage of corn grain, using data retrieved from digital sensors of temperature installed in three Brazilian storage facilities in different regions. Data were collected through managing system CERES (company Procer Automação e Sistemas) and retrieved from 1st of July to 29th September 2019. In each one of the facilities, a silo equipped with the aforementioned sensors was used. Mean weekly values of temperature of the grain mass and the intergranular relative humidity were used, calculated using the Modified Henderson equation. The silos evaluated in facilities 1, 2, and 3 have a static capacity of 2,100; 6,304, and 93 tones, respectively, considering soybean with a bulk density of 750 kg m-3. Higher growth rates of all assessed species were observed for the storage facility number 2; and lowest values for storage facility number 1. Storage facilities that presented a higher potential for the growth rate of insects are subjected to elevated levels of insect populations throughout time.


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AGUIAR, R. W. S.; BRITO, D. R.; OOTANI, M. A.; FIDELIS, R. R.; PELUZIO, J. N. Efeito do dióxido de carbono, temperatura e armazenamento sobre sementes de soja e microflora associada. Revista Ciência Agronômica, Fortaleza, v.43, n.3, p.554-560, 2012.

BATTA, Y. A.; KAVALLIERATOS, N. G. The use of entomopathogenic fungi for the control of stored-grain insects. International Journal of Pest Management, London, v.64, n.1, p.77–87, 2018.

BINELO, M. O.; FAORO, V.; KATHATOURIAN, O. A.; ZIGANSHIN, B. Airflow simulation and inlet pressure profile optimization of a grain storage bin aeration system. Computers and Electronics in Agriculture, Ijuí, v.164, p. 104-923, 2019.

DELHALLE, L.; DAUBE, G.; ADOLPHE, Y.; CREVECOEUR, S.; CLINQUART, A. Les modèles de croissance en microbiologie prévisionnelle pour la maitrise de la sécurité des aliments (synthèse bibliographique). Biotechnologie, Agronomie, Société et Environnement/Biotechnology, Liège, v.16, n.3, p. 369-381, 2012.

DRISCOLL, R.; LONGSTAFF, B. C.; BECKETT, S. Prediction of insect populations in grain storage. Journal of Stored Products Research, Sydney, v.36, n.2, p.131–151, 2000.

FERREIRA, T. C.; NASCIMENTO, D. M.; SILVA, E. O. Métodos alternativos para controle de insetos praga em sementes. Amazon Journal of Agricultural and Environmental Sciences, Belém, v.60, n.1, p.112-119, 2017.

HALL, B. G.; ACAR, H.; NANDIPATI, A.; BARLOW, M. Growth rates made easy. Molecular Biology and Evolution, Oxford, v.31, n.1, p.232-238, 2014.

HIMANEN, S. H.; BUI, N. T. T.; MAJA, M. M.; HOLOPAINEN, H. J. Utilizing associational resistance for biocontrol: impacted by temperature, supported by indirect defence. BMC Ecology, Helsinki, v.15, n.1, p.16, 2016.

HUANG, Z.; CHEN, L.; WANG, S. Computer simulation of radio frequency selective heating of insects in soybeans. International Journal of Heat and Mass Transfer, Yangling, v.90, p.406-417, 2015.

IBGE – Instituto Brasileiro de Geografia e Estatística. Divisão regional do Brasil em regiões geográficas imediatas e regiões geográficas intermediárias. Rio de Janeiro: 82, 2017.

JAYAKUMAR, M.; ARIVOLI, S.; RAVEEN, R.; TENNYSON, S. Repellent activity and fumigant toxicity of a few plant oils against the adult rice weevil Sitophilus oryzae Linnaeus 1763 (Coleoptera: Curculionidae). Journal of Entomology and Zoology Studies, Rohini, v.5, n.2, p. 324-335, 2017.

KHATCHATOURIAN, O. A.; BINELO, M. O.; NEUTZLING, R.; FAORO, V. Models to predict the thermal state of rice stored in aerated vertical silos. Biosystems Engineering, Ijuí, v.161, p.14-23, 2017.

LONGSTAFF, B. C. The manipulation of the population growth of a pest species: an analytical approach. The Journal of Applied Ecology, London, v.18, n.3, p.727-736, 1981.

LOPES, D. C.; MARTINS, J. H.; MONTEIRO, P. M. B.; FILHO, A. F. L. Efeitos de diferentes estratégias de controle no ambiente de armazenamento de grãos em regiões tropicais e subtropicais. Revista Ceres, Viçosa, MG, v.57, n.2, p.157-167, 2010.

NEME, K.; MOHAMMED, A. Mycotoxin occurrence in grains and the role of postharvest management as a mitigation strategies. A review. Food Control, Shambu, v.78, p.412-425, 2017.

PEIXOTO, M. G.; BACCI, L.; BLANK, A. F.; ARAÚJO, A. P. A.; ALVES, P. B.; SILVA, J. H. S.; SANTOS, A. A.; OLIVEIRA, A. P.; COSTA, A. S.; ARRIGONI-BLANK, M. F. Toxicity and repellency of essential oils of Lippia alba chemotypes and their major monoterpenes against stored grain insects. Industrial Crops and Products, São Cristóvão, SE, v.71, p.31-36, 2015.

RIUDAVETS, J. C.; CASTANE, O.; ALOMA, M. J.; PONS, R. The use of carbon dioxide at high pressure to control nine stored product pests. Annual Review of Entomology, Barcelona, v.46, n.4, p.228-233, 2010.

ROSSINI, L.; CONTARINI, M.; SEVERINI, M.; SPERANZA, S. Reformulation of the distributed delay model to describe insect pest populations using count variables. Ecological Modelling, Viterbo, v.436, e109286, 2020.

SARWAR, M. Distinguishing and controlling insect pests of stored foods for improving quality and safety. American Journal of Marketing Research, Boston, v.1, n.3, p.201-207, 2015.

SCHLIPALIUS, D. I.; TUCK, A. G; REJESWARAN, J.; NGUYEN, T.; RAMANDEEP, K.; SABTHARISHI, S.; BARRERO, R.; NAYAK, M.; EBERT, P. R. Variant linkage analysis using de Novo transcriptome sequencing identifies a conserved phosphine resistance gene in insects. Genetics, St. Lucia, v.209, n.1, p.281-290, 2018.

SCHWERTMAN, N. C.; OWENS, M. A.; ADNAN, R. A simple more general boxplot method for identifying outliers. Computational Statistics & Data Analysis, Chico, v.47, n.1, p.165-174, 2004.

SEIB, P.A.; PFOST, H. B.; SUKABDI, A.; RAO, V. G.; BURROUGHS, R. Spoilage of rough rice measured by evolution of carbon dioxide. In: Grain Quality Improvement, Proceedings of 3rd Annual Workshop on Grains Post-harvest Technology, Kuala Lumpur, 1980, Proceedings. Southeast Asia Cooperative Post-harvest Research and Development Programme, Laguna: Philippines, p.75–94, 1980.

SHARMA, K. K.; SINGH, U. S.; SHARMA, P.; KUMAE, A. SHARMA, L. Seed treatments for sustainable agriculture: a review. Journal of Applied and Natural Science, Almora, v.7, n.1, p.521-539, 2015.

SILVA, A. A. L.; FARONI, L. R. D.; GUEDES, R. N. C.; MARTINS, J. H.; PIMENTEL, M. A. G. Modelos analíticos do crescimento populacional de Sitophilus zeamais em trigo armazenado. Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v.10, n.1, p.155-161, 2006.

SILVA, F. F.; ESCOVAR, R. L.; DIAS, N. P.; BERTAN, L. C. Pontos críticos em unidades armazenadoras de arroz para ocorrência de insetos. Revista Engenharia na Agricultura, Viçosa, v.25, n.3, p. 223–229, 2017.

TETER, N.C. Design of grain storage aeration for the humid tropics. In: Winter Meeting of the American Society of Agricultural Engineers, Chicago, 1982.

THOMPSON, T. L.; PEART, R. M.; FOSTER, G. H. Mathematical simulation of corn drying - a new model. Transactions of ASAE, St. Joseph, v.11, n.4, p.582-586, 1968.

WALTER, G. H.; CHANDRASEKARAN, S.; COLLINS, P. J.; JAGADEESAN, R.; MOHANKUMAR, S.; ALAGUSUNDARAM, K.; EBERT, P. R.; DAGLISH, G. J.; NAYAK, M. K.; MOHAN, S. CHITRA S.; CHADDA, I. C.; RAJAGOPAL, A.; REID, R.; SUBRAMANIAN, S. The grand challenge of food security - general lessons from a comprehensive approach to protecting stored grain from insect pests in Australia and India. Indian Journal of Entomology, Coimbatore, v.78, p.7-16, 2016.

WERMELINGER, E. D.; FERREIRA, A. P. Métodos de controle de insetos vetores: um estudo das classificações. Revista Pan-Amazônica Saúde, Ananindeua, v.4, n.3, p.49-54, 2013.

WIEST, R.; SALVADORI, J. R.; FERNANDES, J. M. C.; LAU, D.; PAVAN, W.; ZANINI, W. R.; TOEBE, J.; LAZZARETTI, A. T. Population growth of Rhopalosiphum padi under different thermal regimes: an agent-based model approach. Agricultural and Forest Entomology, Passo Fundo, v.23, p.59-69, 2021.




Como Citar

Faria, I. L. de, Silva, L. C. da, Zeymer, J. S., Araujo, M. E. V. de, & Oliveira, G. H. H. de. (2022). Model applicability to predict growth rates of insects throughout the storage of corn (Zea mays L.) grain . Revista Engenharia Na Agricultura - REVENG, 30, 36–48.



Armazenamento e Processamento de Produtos Agrícolas

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