Abstract
Field studies were conducted to study the seasonal incidence and influence of abiotic factors on the population of mango hoppers in panicles of seven varieties of mango during 2005–2010 and weather based pest forewarning models were developed using regression models. The seasonal incidence of mango hoppers, Ideoscopus spp. was observed in the panicles during 49th std.week with the peak incidence during 8th and 9th std.weeks and the pest disappeared by 13th std.week. Among the seven varieties, AU-Rumani was more preferred by the pest while Peddarasam was least preferred. Correlation –coefficient studies revealed the significant negative influence of relative humidity and positive influence of maximum temperature, evaporation and wind speed on the population of mango hoppers. Weather based Pest forewarning models developed in seven varieties of mango for mango hoppers explained the variation in mango hoppers population by 25 to 49% with linear models as compared to 28 to 71% obtained with non linear models.
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Claims 9
Claim · model-written summary
Mango hoppers appeared in panicles in week 49, peaked in weeks 8 and 9, and disappeared by week 13.
- Taxon
- mango
Mangifera indicae0 - Organ / stage
- paniclese0
- Interactor
- Ideoscopus spp.e0pest
- Outcome
- seasonal incidence of mango hopperse0
- Qualifier
- 49th std.week with the peak incidence during 8th and 9th std.weeks and the pest disappeared by 13th std.weeke0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“The seasonal incidence of mango hoppers, Ideoscopus spp. was observed in the panicles during 49th std.week with the peak incidence during 8th and 9th std.weeks and the pest disappeared by 13th std.week”
Claim · model-written summary
AU-Rumani was most preferred by mango hoppers.
- Taxon
- Mango
Mangifera indicat0 - Material
- AU-Rumanie0
- Interactor
- Hopperst0pest
- Outcome
- preferred by the peste0
- Direction
- moree0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“Among the seven varieties, AU-Rumani was more preferred by the pest while Peddarasam was least preferred”
t0“Mango Hoppers”
Claim · model-written summary
Peddarasam was least preferred by mango hoppers.
- Taxon
- Mango
Mangifera indicat0 - Material
- Peddarasame0
- Interactor
- Hopperst0pest
- Outcome
- preferrede0
- Direction
- leaste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“Among the seven varieties, AU-Rumani was more preferred by the pest while Peddarasam was least preferred”
t0“Mango Hoppers”
Claim · model-written summary
Relative humidity was negatively associated with mango hopper population.
- Taxon
- mango
Mangifera indicae0 - Treatment
- relative humiditye0
- Interactor
- mango hopperse0pest
- Outcome
- population of mango hopperse0
- Direction
- negativee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“significant negative influence of relative humidity and positive influence of maximum temperature, evaporation and wind speed on the population of mango hoppers”
Claim · model-written summary
Maximum temperature was positively associated with mango hopper population.
- Taxon
- mango
Mangifera indicae0 - Treatment
- maximum temperaturee0
- Interactor
- mango hopperse0pest
- Outcome
- population of mango hopperse0
- Direction
- positivee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“positive influence of maximum temperature, evaporation and wind speed on the population of mango hoppers”
Claim · model-written summary
Evaporation was positively associated with mango hopper population.
- Taxon
- mango
Mangifera indicae0 - Treatment
- evaporatione0
- Interactor
- mango hopperse0pest
- Outcome
- population of mango hopperse0
- Direction
- positivee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“positive influence of maximum temperature, evaporation and wind speed on the population of mango hoppers”
Claim · model-written summary
Wind speed was positively associated with mango hopper population.
- Taxon
- mango
Mangifera indicae0 - Treatment
- wind speede0
- Interactor
- mango hopperse0pest
- Outcome
- population of mango hopperse0
- Direction
- positivee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“positive influence of maximum temperature, evaporation and wind speed on the population of mango hoppers”
Claim · model-written summary
Linear weather models explained 25 to 49% of mango hopper population variation.
- Taxon
- mango
Mangifera indicae0 - Interactor
- mango hopperse0pest
- Outcome
- variation in mango hoppers populatione0
- Value
- 25 to 49%e0
- Qualifier
- 28 to 71%e0
- Comparator
- non linear modelse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“Weather based Pest forewarning models developed in seven varieties of mango for mango hoppers explained the variation in mango hoppers population by 25 to 49% with linear models as compared to 28 to 71% obtained with non linear models”
Claim · model-written summary
Nonlinear weather models explained 28 to 71% of mango hopper population variation.
- Taxon
- mango
Mangifera indicae0 - Interactor
- mango hopperse0pest
- Outcome
- variation in mango hoppers populatione0
- Value
- 28 to 71%e0
- Qualifier
- 25 to 49%e0
- Comparator
- linear modelse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_from_India.jpg?width=500)
Verbatim
e0“Weather based Pest forewarning models developed in seven varieties of mango for mango hoppers explained the variation in mango hoppers population by 25 to 49% with linear models as compared to 28 to 71% obtained with non linear models”