Life tables and a physiologically based model application to Corcyra cephalonica (Stainton) populations |
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| Affiliation: | 1. Università degli Studi della Tuscia, Dipartimento di Scienze Agrarie e Forestali (DAFNE), Via San Camillo de Lellis snc, 01100, Viterbo, Italy;2. Università degli Studi della Tuscia, Dipartimento di Scienze Ecologiche e Biologiche (DEB), Loc. Riello snc, 01100, Viterbo, Italy;3. Università degli Studi di Milano “La Statale”, Dipartimento di Scienze per gli Alimenti, la Nutrizione e l’Ambiente (DeFENS), Via Celoria 2, 20133, Milano, Italy;1. Morden Research and Development Centre, Agriculture and Agri-Food Canada, Winnipeg, MB, R3T 2M9, Canada;2. Department of Entomology, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada;3. Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada;1. Plant Protection Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt;2. Environment and Bio-Agriculture Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt;3. Department of Pesticide Chemistry Technology, Faculty of Agriculture, 21545-El-Shatby, Alexandria University, Alexandria, Egypt;1. School of Bioresources and Technology, King Mongkut’s University of Technology Thonburi, 49, Soi Thiantale 25, Bangkhuntien-Chaitale Rd., Thakham, Bangkhuntien, Bangkok, 10150, Thailand;2. Postharvest Technology Innovation Center, Ministry of Higher Education, Science, Research and Innovation, Bangkok, 10400, Thailand;3. Department of Biological Sciences and Environmental Studies, College of Science and Mathematics, University of the Philippines Mindanao, Mintal, Tugbok District, Davao City, 8022, Philippines;1. Department of Entomology, Kansas State University, Manhattan, KS, 66506, USA;2. Horticulture IPM, University of Arkansas, Little Rock, AR, 72204, USA;3. Department of Agriculture and Fisheries, Queensland, Ecosciences Precinct, GPO Box 267, Brisbane, QLD 4001, Australia;4. Plant Biosecurity Cooperative Research Centre, GPO Box 5012, Bruce, ACT, 2617, Australia;1. Universidad Nacional de Córdoba (UNC), Facultad de Ciencias Exactas, Físicas y Naturales (FCEFyN), Córdoba, Argentina;2. Instituto de Ciencia y Tecnología de los Alimentos (ICTA), FCEFyN, UNC, Córdoba, Avenida Vélez Sarsfield 1611, Córdoba, X5016GCA, Argentina;3. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto Multidisciplinario de Biología Vegetal (IMBIV), Avenida Vélez Sarsfield 1611, X5016GCA, Córdoba, Argentina;4. CONICET, Centro de Investigaciones y Transferencia de Villa María (CITVM), Universidad Nacional Villa María, Arturo Jauretche 1555 (CP: 5900), Villa María, Córdoba, Argentina |
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| Abstract: | The rice moth Corcyra cephalonica is a harmful insect pest for grains stocked in storage systems. Its infestations represent a serious concern among producers, because of the non-marketability of the products affected by it and subsequent economic losses.New technologies are improving the supply chain of the stored grains, in line with the integrated pest management framework. However, a prompt control action also requires an in-depth knowledge of insect pests’ biology and their response to environmental parameters. If this information is available, it can also be translated into mathematical language. The modelling of insect pest populations is increasing in utility, particularly if the models are included in decision support systems.The aim of this work concerns two aspects of a model application and validation. Since physiologically based models require information about interactions between species and environment, C. cephalonica individuals were reared at different constant temperatures: 18, 21, 24,26, 28, 30,34 and 36 °C. This first part provided the life tables, whose data were used to estimate the parameters of the Logan, Briére, and Sharpe and De Michele development rate functions.The second part of the work concerns the application of a physiologically based model described by a first order partial differential equation. The validation of the simulations was conducted with a semi-field experimentation with three repetitions.Results showed that the life tables are well represented by the Sharpe and De Michele development rate function, and that the physiologically based model proposed is reliable in representing field populations. |
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| Keywords: | Growth models Crop protection Integrated pest management Age-structured models Generalised von Foerster’s equation Rice moth Lepidoptera pyralidae |
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