Developing statistical models to study the growth and instability in oilseed production of Karnataka
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Date
2009
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UAS, Dharwad
Abstract
The Study concerning with developing statistical models to study the growth and
instability in oilseed production of Karnataka was carried out at College of Agriculture,
Dharwad during 2007-2009. For this study 26 years data on area, production and yield for
four important oilseed crops viz, Groundnut, Safflower and Sesame and Sunflower was
collected for 20 districts of Karnataka from the crop reports complied by Directorate of
Economics and Statistics, Bangalore. Growth rates were found out by using different models.
Variability between two periods, districts and crops were tested.
Among the oilseeds considered for the study Groundnut, Safflower and Sesame
showed increasing trend in period-I (1980-81 to 1993-94) while sunflower has showed
decreasing trend. And in period-II (1994-95 to 2005-06) only sunflower has shown positive
trend for production.
The groundnut area in period-I showed increasing trend except in Belgaum district. In
period-II all the districts showed negative trend except Belgaum. With respect to yield the
significant negative trend was noticed in Kodagu district.
The sunflower area has shown positive trend in period-II. Almost all districts show
significant increse during period-II. With respect to yield in period-II almost all of the
districts showed incresing trend, except Belgaum, Bidar, Bijapur, Dakshin Kannada,
Dharwad, Kodagu, Mandya and Mysore.
Sesame area for period-I has shown the decreasing trend in Bangalore and Bellary.
Where as for period-II Bangalore, Bellary and Chikmagalur showed positive trend. With
respect to yields increasing trend has been observed in all districts for period-I except Kodagu
district.
The safflower area in period-I showed acceleration while in period-II it has decreased.
With respect to yield almost all districts showed decreasing trends. The Chitradurga district
showed significant decrease in yields during period-I
In almost all models the cubic model was found to be better as compared to others.
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Keywords
Agricultural Statistics