Literature DB >> 32364979

Modelling the effect of temperature on the biology and demographic parameters of the African coffee white stem borer, Monochamus leuconotus (Pascoe) (Coleoptera: Cerambycidae).

Abdelmutalab G A Azrag1, Abdullahi A Yusuf2, Christian W W Pirk2, Saliou Niassy3, Ephantus K Guandaru3, Guillaume David4, Régis Babin4.   

Abstract

The African coffee white stem borer Monochamus leuconotus (Pascoe) (Coleoptera: Cerambycidae) is a destructive insect pest of Arabica coffee trees in African highlands. Our study aims to provide information on the pest biology as influenced by temperature, determine thermal thresholds, and provide life table parameters for M. leuconotus reared in the laboratory. The life cycle of M. leuconotus was studied at seven constant temperatures in the range 15-35 °C, with 80 ± 5% RH and a photoperiod of L:D 12:12. Linear and nonlinear models were fitted to laboratory data to describe the impact of temperature on M. leuconotus development, mortality, fecundity and senescence. The complete life cycle was obtained between 18 and 30 °C, with the egg incubation period ranging 10.8-29.2 days. The development time was longest for the larva, with 194.2 days at 30 °C and 543.1 days at 18 °C. The minimum temperature threshold (Tmin) was estimated at 10.7, 10.0 and 11.5 °C, for egg, larva and pupa, respectively. The maximum temperature threshold (Tmax) was estimated at 37.4, 40.6 and 40.0 °C for egg, larva and pupa, respectively. The optimum temperature for immature stage survival was estimated between 23.0 and 23.9 °C. The highest fecundity was 97.8 eggs per female at 23 °C. Simulated life table parameters showed the highest net reproductive rate (Ro) of 11.8 daughters per female at 26 °C and maximal intrinsic rate of increase (rm) between 26 and 28 °C, with a value of 0.008. Our results will help understanding M. leuconotus biology as influenced by temperature and may be used to predict the distribution and infestation risk under climate warming for this critical coffee pest.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coffea arabica; Development rate; Development time; Insect life cycle modelling; Life table parameters

Mesh:

Year:  2020        PMID: 32364979     DOI: 10.1016/j.jtherbio.2020.102534

Source DB:  PubMed          Journal:  J Therm Biol        ISSN: 0306-4565            Impact factor:   2.902


  2 in total

1.  Determining the potential distribution of Oryctes monoceros and Oryctes rhinoceros by combining machine-learning with high-dimensional multidisciplinary environmental variables.

Authors:  Owusu Fordjour Aidoo; Fangyu Ding; Tian Ma; Dong Jiang; Di Wang; Mengmeng Hao; Elizabeth Tettey; Sebastian Andoh-Mensah; Kodwo Dadzie Ninsin; Christian Borgemeister
Journal:  Sci Rep       Date:  2022-10-19       Impact factor: 4.996

2.  Estimating the Demographic Parameters of Tuta absoluta (Lepidoptera: Gelechiidae) Using Temperature-Dependent Development Models and Their Validation under Fluctuating Temperature.

Authors:  Samira Abuelgasim Mohamed; Abdelmutalab G A Azrag; Francis Obala; Shepard Ndlela
Journal:  Biology (Basel)       Date:  2022-01-24
  2 in total

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