Abstract
Mango hopper population dynamics at different phenological stages was predicted using the growing degree days (GDD) of mango during 2013, 2014 and 2015 under Lucknow climatic conditions.Results revealed that at the time of flowering,there was wide variations in hopper infestation level during three consecutive seasons. Identical trend was observed at early flowering (30 per cent of panicle flowers open), full flowering (more than 50per cent of panicle flowers open), full flowering (all petals fallen or dry) and from fruit set to physiological fruit maturity. The relationship between the GDD and hopper population was established by linear regression analysis and it was inferred that the GDD had explained variation in hopper population upto 66 per cent across the three seasons. Thus, growing degree days served as a basis for predicting hopper population at different phenological stages of mango.
Highlights
Mango (Mangifera indica L.), one of the major fruit crops of India, is known as the king of fruits for its sweetness, excellent flavour, delicious taste and high nutritive value
Data on the mango phenology was collected based on the modified Biologische Bundesantalt, Bundessortenamt and Chemische Industrie (BBCH) scale of phenological stages developed by Rajan et al (2011)
From beginning of bud swelling to full flowering, the hopper population ranged from 0.2 to 3.68, 0 to 1.32 and 0.79 to 2.42 hopper/sweep during the year 2013, 2014 and 2015 respectively (Table 1).It was inferred from the study that mango hopper population emergence was coincided with the emergence of new flushes and panicles
Summary
Mango (Mangifera indica L.), one of the major fruit crops of India, is known as the king of fruits for its sweetness, excellent flavour, delicious taste and high nutritive value. Key words : Phenological stages, mango, mango hopper, growing degree days Among the insect pests mango hoppers cause heavy damage to crop during flowering and fruiting stage, resulting in 25-60 per cent yield loss (Munjet al., 2017).
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