Forecasting model for influence of Thrips on cashew in Konkan region of Maharashtra

• Published in: Acta horticulturae no. 1080; pp. 437 - 443
• Main Authors: Jalgaonkar, V. N, Sawant, B. N, Chavan, S. A, Patil, P. D
• Format: Journal Article
• Language: English
• Published: International Society for Horticultural Science 01.01.2015
• Subjects: equations; field experimentation; flowering; humidity; pests; prediction; regression analysis; temperature; wind; winter; India
• ISSN: 0567-7572
• DOI: 10.17660/ActaHortic.2015.1080.58

A field experiment was conducted to monitor the pest infestation of thrips of cashew in relation to weather parameters for three years from 2004 to 2006. The observations were recorded for fortnightly intervals at the Regional Fruit Research Station, Vengurla (Maharashtra). Analysis of path coefficient analysis was carried out to understand the direct and indirect effect of the individual weather parameter on the incidence of thrips in cashew. The prediction equation was developed by using multiple regression analysis with respect of thrips infestation. The thrips population was negligible below 18±1°C. The maximum population was observed in between 18±1°C to 21±1°C and it declined after winds minimum temperature. Whereas, regarding afternoon humidity, thrips population was found to be negligible below 53±1%. Whereas, maximum population was observed in between 53±1% to 64±1% then afterwards it declined. The pest infestation was high during the period of flushing and flowering which coincide with the winter season (January to March). The regression equation accounted for more than 89% variability in thrips population when the data were pooled for all the three years.