The Potential Geographical Distribution of Bactrocera cucurbitae (Diptera: Tephritidae) in China Based on Eclosion Rate Model and ArcGIS

Abstract. The melon fruit fly, Bactrocera cucurbitae Coquillett (Diptera: Tephritidae), is one of the important insect pests of fruits and vegetables. In order to monitor and control it effectively, it is necessary to know the potential geographical distribution of this pest. The ER (Eclosion rate) model was constructed from empirical biological data, and analyzed with ArcGIS. Based on the soil temperature and moisture data of Chinese meteorological stations, the potential geographical distribution of B. cucurbitae from January to December in China was predicted. Six categories were used to describe different levels of suitability for B. cucurbitae in China. The potential geographical distribution and suitable levels for every month in China were obtained and showed that almost all locations were suitable from May to September. Further analysis showed that monitoring measures should be taken in Guangdong, Guangxi, Yunnan, and Hainan provinces throughout the year

The Potential Geographical Distribution of Bactrocera cucurbitae (Diptera: Tephritidae) in China Based on Eclosion Rate Model and ArcGIS

International audienceThe melon fruit fly, Bactrocera cucurbitae Coquillett (Diptera: Tephritidae), is one of the important insect pests of fruits and vegetables. In order to monitor and control it effectively, it is necessary to know the potential geographical distribution of this pest. The ER (Eclosion rate) model was constructed from empirical biological data, and analyzed with ArcGIS. Based on the soil temperature and moisture data of Chinese meteorological stations, the potential geographical distribution of B. cucurbitae from January to December in China was predicted. Six categories were used to describe different levels of suitability for B. cucurbitae in China. The potential geographical distribution and suitable levels for every month in China were obtained and showed that almost all locations were suitable from May to September. Further analysis showed that monitoring measures should be taken in Guangdong, Guangxi, Yunnan, and Hainan provinces throughout the year

TBIS: A Web-Based Expert System for Identification of Tephritid Fruit Flies in China Based on DNA Barcode

International audienceTephritid fruit flies (Diptera: Tephritidae) include serious agricultural insect pests in the world. Besides causing severe damage to fruits and vegetables, this kind of pests could enter countries or regions with international trade easily. Strict trade quarantine measures are imposed in many countries or regions in order to prevent their introduction and spread. Thus accurate and rapid identification is regarded as an essential component of plant quarantine. Traditional expert systems for assistant identification of agricultural insect pests are based on their morphological characteristics. Compared with the morphological identification, however, molecular identification has more advantages especially for the identification of the immature samples which are intercepted more frequently. Among the molecular identification methods, DNA barcoding is very effective and has been selected by the taxonomists in recent 5 years. In view of the above, a network expert system based on the DNA barcode, Tephritid Barcode Identification System (TBIS) was developed with ASP.NET and C# to improve the molecular identification of fruit fly pests in China. The system was supported by Microsoft SQL server 2008 database. Three functions were provided such as molecular identification based on DNA barcode, information browse and inquiry. DNA sequence similarity alignment dynamic programming algorithm served as the inference mechanism. Molecular identification knowledge was obtained from the public database on the Internet and Plant Quarantine Laboratory of China Agricultural University, which contained about 400 COI sequences of nearly 150 species of fruit flies. Moreover, detailed information such as morphological description and pictures of adult, hosts, and geographical distribution are presented in this system. Mixed with molecular, morphological and distributional data, the system can be used as an identification tool both for quarantine technicians and for educational purposes in China