Impact of weather parameters on population dynamics of oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) under south Gujarat mango ecosystem

Bana, JK; Sharma, H. M.; Kumar, Sushil; Singh, Pushpendra

doi:10.54386/jam.v19i1.762

Cited by 9 publications

(12 citation statements)

References 3 publications

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“…These findings are very much in agreement with a study conducted on fruitflies infesting sweet oranges in Zimbabwe, 20 where also statistically significant correlationswerefound between the fruit fly population and meteorological parameters of relative humidity and mean temperature. The observation is also in agreement with the findings in mango, 27,20 where the population of fruit flies was directly correlated with temperature, humidity and rainfall. But the wind speed, in the current study, is not show a statistically significant correlation with flies per trap (Table 1), which may be due to undulated topography where wind speed is generally not appreciable and does not show much seasonal or monthly variation.…”

Section: Relationships Between the Weather Variables And Population D...supporting

confidence: 92%

“…During the study period, it was found that the mean number of males trapped varied from 0. 20 and similar work done on mango, 31,27 where the highest population were found in the near ripening and ripening stage of the fruits.…”

Section: Methodsmentioning

confidence: 53%

“…This model will be highly useful in predicting the fruit fly population in citrus at least 1-2 weeks in advance so that necessary preventive and precautionary measures can be taken. A model for the fruit fly based on a similar concept was developed in mango 27 and in guava 32 and reported highly precise prediction.…”

Section: Weather Based Fruit Fly Prediction Modelmentioning

confidence: 99%

“…Several researchers has done identical works in different agro-climatic conditions for various crops across the country, 24,25,26,27 but little focus has been given on citrus grown in the Eastern Himalayan region of the country.…”

Section: Introductionmentioning

confidence: 99%

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Weather-Based Fruit Fly Population Dynamics Prediction Model for the Mid-Hills of Eastern Himalayan Region of India

Chandra

Bhagawati

Kalita

et al. 2022

Curr. World Environ

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Across the globe, it is widely observed that current change in climate or weather pattern has marked effect on insect population dynamics and behavior, though with varied aspects and intensity. Understanding the correlations of insect population dynamics with weather parameters is the fundamental first step in formulating an effective integrated pest management programme. In the major citrus growing mid-hill regions of Arunachal Pradesh, fruit fly, Bactrocera dorsalis, is one of the chief reasons for heavy loss leading to pre-harvest fruit drop in citrus. The current study aims to determine how changes in weather parameters influence the population dynamics of fruit flies and to develop an optimized weather-based population prediction model for fruit flies infesting citrus in the mid-hills of Arunachal Pradesh. The population was monitored through standard methyl eugenol para-pheromone traps and a model was developed using stepwise multiple regression technique. The study revealed that the population was highest during the fruit development and ripening stage and it was found that the number of flies per trap and meteorological parameters (temperature and humidity) is positively correlated with appreciable statistical significance. The optimized regression model was developed with variables temperature and humidity, and was found to be 79 percent accurate in the study site. This model will serve as an important tool in pre-estimation of the fruit fly population in the citrus growing mid-hills of Arunachal Pradesh and for formulation of effective preventive management strategies.

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Section: Relationships Between the Weather Variables And Population D...supporting

confidence: 92%

Section: Methodsmentioning

confidence: 53%

Section: Weather Based Fruit Fly Prediction Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Weather-Based Fruit Fly Population Dynamics Prediction Model for the Mid-Hills of Eastern Himalayan Region of India

Chandra

Bhagawati

Kalita

et al. 2022

Curr. World Environ

View full text Add to dashboard Cite

show abstract

“…In subtropical regions of Pakistan the temperature fluctuates in regular intervals which mostly favour the fruit fly population to increase. So, this study might be helpful to manipulate the fruit fly population by understanding the correlation between fruit fly population and temperature with humidity [30][31][32]. It has been noted that with the change in abiotic factors like temperature and humidity a fluctuation in population dynamics of B. Dorsalis occurs simultaneously.…”

Section: Discussionmentioning

confidence: 99%

Efficacy of Abiotic Factors on Population Dynamics of Fruit Fly (Bactrocera dorsalis) Larva and Pupa

Faryad

Khan

Samreen³

et al. 2023

AJAAR

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The fruit fly B. dorsalis is a serious fruit and vegetable pest in South-East Asia. It causes 25-100% loss of horticultural crops by laying eggs under the skin of mangoes, peaches, guava, apricots and figs. Abiotic factors are ecological factors including temperature, humidity, and rainfall. These factors adversely affect the population dynamics of fruit fly larvae and pupae. Plants were randomly selected and installed with methyleugenol pheromone traps to study the population dynamics of Bactrocera dorsalis and correlate with abiotic factors. The fruits that had fallen were retrieved after a gap of 7-8 days. The contaminated fruit samples were exposed in the lab after a 9-10 days incubation period, and the larvae were counted. To ascertain the relationship between the larval and pupal populations of fruit flies in citrus, the one-way ANOVA technique was used. Bactrocera dorsalis larvae and pupae populations were the greatest at high temperatures and low humidity.

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Effects of Physiological Status and Environmental Factors on the Lure Responses of Three Pest Fruit Fly Species (Diptera: Tephritidae)

Pogue,

Malod,

Weldon

2024

J Chem Ecol

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Biotic and abiotic factors influence how insects respond to stimuli. This can make it challenging to interpret captures in traps used to monitor pest abundance in management programmes. To address this, the lure response of three pest fruit flies (Diptera: Tephritidae) was evaluated in a semi-field setting with respect to several physiological and environmental factors. Using standardised methods with known fly numbers in field cages, the response to Biolure (food-based lure) was evaluated for Ceratitis capitata, Ceratitis cosyra and Bactrocera dorsalis. Response to the male lures was tested: E.G.O PheroLure for C. capitata and C. cosyra, Trimedlure for C. capitata, and methyl eugenol for B. dorsalis. The physiological variables evaluated were fly age, sex, weight, and total body nutritional composition. The environmental effects of temperature, relative humidity and light intensity were also assessed. Protein-deprived adults responded more strongly to Biolure. The response to Biolure was not sex-specific. Fly age influenced the response of all species to all tested lures. However, this effect was species and lure specific. Temperature was the most influential environmental factor, with response generally increasing with temperature. Lower thresholds for lure response, despite the proximity of responsive flies, range from 12.21 to 22.95 °C depending on the species and lure tested. These results indicate that trapping systems and management activity thresholds must take physiological and environmental variation into account to increase their accuracy.

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Impact of weather parameters on population dynamics of oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) under south Gujarat mango ecosystem

Cited by 9 publications

References 3 publications

Weather-Based Fruit Fly Population Dynamics Prediction Model for the Mid-Hills of Eastern Himalayan Region of India

Weather-Based Fruit Fly Population Dynamics Prediction Model for the Mid-Hills of Eastern Himalayan Region of India

Efficacy of Abiotic Factors on Population Dynamics of Fruit Fly (Bactrocera dorsalis) Larva and Pupa

Effects of Physiological Status and Environmental Factors on the Lure Responses of Three Pest Fruit Fly Species (Diptera: Tephritidae)

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