Abstract
Early blight of tomato caused by Alternaria solani is an economically important disease in all the tomato growing areas worldwide. The effect of weather variables on the per cent disease intensity(PDI) index of early blight were analyzed during the early summer season of five consecutive years from 2013 to 2017. The disease invariably appeared in the 12thStandard Meteorological Week (SMW) and had steep progression throughout the cropping period. Maximum and minimum temperatures had significantly positive correlation, whereas, maximum and minimum relative humidity along with rainfall had significantly negative correlation with the PDI of early blight of tomato. The model developed by stepwise regression explained that 83per cent variation in the PDI of the disease was due to maximum temperature. The model developed based on the data collected during the studies can be used for predicting the appearance of early blight of tomato, thereby helping in the adoption of timely management measures.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 5
Claim · model-written summary
Early blight appeared in the 12th Standard Meteorological Week.
- Taxon
- tomato
Solanum lycopersicume1 - Interactor
- Alternaria solani
Alternaria solanie1pathogen - Outcome
- appeared in the 12thStandard Meteorological Week (SMW)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The disease invariably appeared in the 12thStandard Meteorological Week (SMW)”
e1“Early blight of tomato caused by Alternaria solani”
Claim · model-written summary
Early blight progressed steeply throughout the cropping period.
- Taxon
- tomatoSolanum lycopersicume1
- Interactor
- Alternaria solaniAlternaria solanie1pathogen
- Outcome
- steep progressione0
- Direction
- steep progressione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“had steep progression throughout the cropping period”
e1“Early blight of tomato caused by Alternaria solani”
Claim · model-written summary
Maximum and minimum temperatures correlated positively with tomato early blight intensity.
- Taxon
- tomatoSolanum lycopersicume0
- Outcome
- PDI of early blight of tomatoe0
- Direction
- positive correlatione0
- Setting
- maximum and minimum temperaturese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Maximum and minimum temperatures had significantly positive correlation, whereas, maximum and minimum relative humidity along with rainfall had significantly negative correlation with the PDI of early blight of tomato.”
Claim · model-written summary
Maximum and minimum relative humidity and rainfall correlated negatively with tomato early blight intensity.
- Taxon
- tomatoSolanum lycopersicume0
- Outcome
- PDI of early blight of tomatoe0
- Direction
- negative correlatione0
- Setting
- maximum and minimum relative humidity along with rainfalle0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“maximum and minimum relative humidity along with rainfall had significantly negative correlation with the PDI of early blight of tomato”
Claim · model-written summary
Maximum temperature explained 83per cent of the variation in early blight intensity in the stepwise regression model.
Not reportedTaxonDirection
Verbatim
e0“The model developed by stepwise regression explained that 83per cent variation in the PDI of the disease was due to maximum temperature.”
e1“The effect of weather variables on the per cent disease intensity(PDI) index of early blight”