Improving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).

The degree-day (DD) model is an important tool for forecasting pest phenology and voltinism. Unfortunately, the DD model is inaccurate, as is the case for the Oriental migratory locust. To improve the existing DD model for this pest, we first studied locust development in seven growth chambers, each...

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Autores principales: Xiongbing Tu, Zhihong Li, Jie Wang, Xunbing Huang, Jiwen Yang, Chunbin Fan, Huihui Wu, Qinglei Wang, Zehua Zhang
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Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/1a75ad0f673246509e032361f66e2280
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spelling oai:doaj.org-article:1a75ad0f673246509e032361f66e22802021-11-18T08:29:38ZImproving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).1932-620310.1371/journal.pone.0089523https://doaj.org/article/1a75ad0f673246509e032361f66e22802014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24599091/?tool=EBIhttps://doaj.org/toc/1932-6203The degree-day (DD) model is an important tool for forecasting pest phenology and voltinism. Unfortunately, the DD model is inaccurate, as is the case for the Oriental migratory locust. To improve the existing DD model for this pest, we first studied locust development in seven growth chambers, each of which simulated the complete growing-season climate of a specific region in China (Baiquan, Chengde, Tumotezuoqi, Wenan, Rongan, Qiongzhong, or Qiongshan). In these seven treatments, locusts completed 0.95, 1, 1.1, 2.2, 2.95, 3.95, and 4.95 generations, respectively. Hence, in the Baiquan (700), Rongan (2400), Qiongzhong (3200), and Qiongshan (2400) treatments, the final generation were unable to lay eggs. In a second experiment, we reared locusts for a full generation in growth chambers, at different constant temperatures. This experiment provided two important findings. First, temperatures between 32 and 42°C did not influence locust development rate. Hence, the additional heat provided by temperatures above 32°C did not add to the total heat units acquired by the insects, according to the traditional DD model. Instead, temperatures above 32°C represent overflow heat, and can not be included when calculating total heat acquired during development. We also noted that females raised at constant 21°C failed to oviposit. Hence, temperatures lower than 21°C should be deducted when calculating total heat acquired during adult development. Using our experimental findings, we next micmiked 24-h temperature curve and constructed a new DD model based on a 24-h temperature integral calculation. We then compared our new model with the traditional DD model, results showed the DD deviation was 166 heat units in Langfang during 2011. At last we recalculated the heat by our new DD model, which better predicted the results from our first growth chamber experiment.Xiongbing TuZhihong LiJie WangXunbing HuangJiwen YangChunbin FanHuihui WuQinglei WangZehua ZhangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 3, p e89523 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Xiongbing Tu
Zhihong Li
Jie Wang
Xunbing Huang
Jiwen Yang
Chunbin Fan
Huihui Wu
Qinglei Wang
Zehua Zhang
Improving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).
description The degree-day (DD) model is an important tool for forecasting pest phenology and voltinism. Unfortunately, the DD model is inaccurate, as is the case for the Oriental migratory locust. To improve the existing DD model for this pest, we first studied locust development in seven growth chambers, each of which simulated the complete growing-season climate of a specific region in China (Baiquan, Chengde, Tumotezuoqi, Wenan, Rongan, Qiongzhong, or Qiongshan). In these seven treatments, locusts completed 0.95, 1, 1.1, 2.2, 2.95, 3.95, and 4.95 generations, respectively. Hence, in the Baiquan (700), Rongan (2400), Qiongzhong (3200), and Qiongshan (2400) treatments, the final generation were unable to lay eggs. In a second experiment, we reared locusts for a full generation in growth chambers, at different constant temperatures. This experiment provided two important findings. First, temperatures between 32 and 42°C did not influence locust development rate. Hence, the additional heat provided by temperatures above 32°C did not add to the total heat units acquired by the insects, according to the traditional DD model. Instead, temperatures above 32°C represent overflow heat, and can not be included when calculating total heat acquired during development. We also noted that females raised at constant 21°C failed to oviposit. Hence, temperatures lower than 21°C should be deducted when calculating total heat acquired during adult development. Using our experimental findings, we next micmiked 24-h temperature curve and constructed a new DD model based on a 24-h temperature integral calculation. We then compared our new model with the traditional DD model, results showed the DD deviation was 166 heat units in Langfang during 2011. At last we recalculated the heat by our new DD model, which better predicted the results from our first growth chamber experiment.
format article
author Xiongbing Tu
Zhihong Li
Jie Wang
Xunbing Huang
Jiwen Yang
Chunbin Fan
Huihui Wu
Qinglei Wang
Zehua Zhang
author_facet Xiongbing Tu
Zhihong Li
Jie Wang
Xunbing Huang
Jiwen Yang
Chunbin Fan
Huihui Wu
Qinglei Wang
Zehua Zhang
author_sort Xiongbing Tu
title Improving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).
title_short Improving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).
title_full Improving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).
title_fullStr Improving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).
title_full_unstemmed Improving the degree-day model for forecasting Locusta migratoria manilensis (Meyen) (Orthoptera: Acridoidea).
title_sort improving the degree-day model for forecasting locusta migratoria manilensis (meyen) (orthoptera: acridoidea).
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/1a75ad0f673246509e032361f66e2280
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