Literature DB >> 21725633

A physiologically based approach for degree-day calculation in pest phenology models: the case of the European corn borer (Ostrinia nubilalis Hbn.) in Northern Italy.

Andrea Maiorano1.   

Abstract

Phenological models based on degree-day accumulation have been developed to support the integrated pest management of many insects. Most of these models are based on linear relationships between temperature and development, and on daily time step simulations using daily minimum and maximum temperatures. This approach represents an approximation that does not take into account the insect physiological response to temperature, and daily temperature fluctuations. The objective of this work has been to develop a phenological model for the European corn borer (ECB) based on the insect physiological response to temperature and running at an hourly time step. Two modeling solutions based on the same generic compartmental system have been compared: the first based on a physiologically based relationship between temperature and development, and using hourly derived temperatures as input (HNL modeling solution); and the second based on a linear relationship between temperature and degree-day accumulation and using daily temperature (DL modeling solution). The two approaches have been compared using ECB moth capture data from the Piemonte region in Northern Italy. The HNL modeling solution showed the best results for all the accuracy indicators. The DL modeling solution showed a tendency to anticipate ECB phenological development too early. This tendency is attributable to the linear relationship between temperature and development, which does not take into account (1) the decline of this relationship at high temperatures, and (2) the daily fluctuation of temperature. As a consequence, degree-days accumulation is accelerated in the DL modeling solution and the phenological development anticipated.

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Mesh:

Year:  2011        PMID: 21725633     DOI: 10.1007/s00484-011-0464-z

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  1 in total

1.  An improved model for determining degree-day values from daily temperature data.

Authors:  C Cesaraccio; D Spano; P Duce; R L Snyder
Journal:  Int J Biometeorol       Date:  2001-11       Impact factor: 3.787

  1 in total
  2 in total

1.  Spatio-temporal variation in voltinism of insect pests: sensitivity to location and temperature anomalies.

Authors:  Cesar Augusto Marchioro; Fábio Sampaio; Flavia da Silva Krechemer
Journal:  Neotrop Entomol       Date:  2021-03-03       Impact factor: 1.434

2.  Climate change impact on development rates of the codling moth (Cydia pomonella L.) in the Wielkopolska region, Poland.

Authors:  Radosław Juszczak; Leszek Kuchar; Jacek Leśny; Janusz Olejnik
Journal:  Int J Biometeorol       Date:  2012-02-29       Impact factor: 3.787

  2 in total

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