Effect of weather parameters on the production of mango and citrus in Una district of Himachal Pradesh
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Date
2020-10-29
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
COLLEGE OF HORTICULTURE AND FORESTRY, DR Y S P UHF, NERI, HAMIRPUR
Abstract
The present investigations entitled “Effect of weather parameter on the production of
mango and citrus in Una district of Himachal Pradesh” were conducted during 2019 – 2020 in
the Department of Fruit Science, College of Horticulture and Forestry, Neri. Weather data for the
period 1996 to 2018 and bimonthly (December – January) weather data from 2004 – 2018 and the
data on fruit production for the period 1996 – 2018 with respect to Una district of Himachal
Pradesh were analyzed. Spatial data were used for preparation of physiographic map of the district.
Effect of weather parameters on fruit crop production were assessed using regression analysis
whereby individual parameters were correlated with fruit production and the multiple linear
regression equations were obtained. To compute the trends of weather parameters and variability
analysis (mean, standard error, standard deviation, skewness and kurtosis), regression coefficient
whereby different functions considering linear, logarithmic, inverse, quadratic, cubic, compound,
power, s curve, growth and exponential functions were fitted and best fit equations were selected
on the basis of R2
and RMSE. The results of variability analysis revealed no significant trend for
weather parameters. Skewness and kurtosis did not follow any normality assumptions. In case of
trend analysis, regression function (cubic and quadratic) were found best fit for weather parameters
with highest value of R2
(0.48) in case of minimum temperature, while R2
varied from 0.04 – 0.36.
The coefficient of correlation between maximum temperature and mango production showed
positive correlation (r = 0.623) whereas, citrus production also showed positive significant
correlation with maximum temperature (r = 0.855) at 1 % level of significance. The analysis of
regression for fruit production, minimum temperature on citrus production was found significant
with an R
2
value 0.21, indicating thereby that citrus production is influenced by minimum
temperature but not weather parameters in combination. The physiographic maps used to identify
the topographic situation with the help of DEM, slope, contour, aspect and hillshade maps. These
maps are very useful for land use planning.