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Abstract
Aim: To assess the
dieback disease severity in Kinnow mandarin (Citrus reticulata Blanco)
and to understand the role of weather variables on dieback.
Methodology: Disease severity
was recorded in the fixed orchards of the five randomly selected plants. The
scoring was done on the infected twigs and branches per plant. AUDPC was
determined based on the data recorded on different days. Correlation was
performed to find out the effect of different weather factors on the severity
of dieback.
Results: The initial
dieback disease symptoms were observed in the 11th SMW, which
reached at peak (20.73%) in the 27th SMW. The studies revealed a
strong positive correlation between minimum temperature and dieback severity
and a moderate positive correlation with the maximum temperature (“r”=0.846,
p<0.01 & 0.571, p<0.05), while the wind speed showed a moderate
positive correlation (“r”=0.599, p<0.01) with dieback severity. Further,
multiple regression predicts dieback severity based on weather conditions,
with minimum temperature (X2) showing a particularly strong
influence and explaining 72 percent of disease severity variability.
Interpretation: The information
from this study can be utilized to provide protective advisory services to
farmers and to develop integrated disease management strategies for the
timely management of dieback disease.
Key
words:
AUDPC, Citrus reticulata, Dieback disease, Kinnow mandarin, Weather
factors
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