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ASSESSMENT OF VULNERABILITY INDEX AND ADAPTATION STRATEGIES IN RICE PRODUCTION DUE TO THE CLIMATE CHANGE UNDER KRISHNA RIVER BASIN OF ANDHRA PRADESH

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Title ASSESSMENT OF VULNERABILITY INDEX AND ADAPTATION STRATEGIES IN RICE PRODUCTION DUE TO THE CLIMATE CHANGE UNDER KRISHNA RIVER BASIN OF ANDHRA PRADESH
 
Creator PRAVEEN KUMAR, N.S.
 
Contributor PAUL, K.S.R.
 
Subject regeneration, cauliflowers, genes, planting, genetic processes, fungi, antibiotics, transgenics, concentrates, auxins
RICE
 
Description The present study was conducted in Guntur district under Nagarjuna
Sagar project area of Krishna river basin of Andhra Pradesh with the major
objectives to assess the vulnerability index of districts under Krishna river basin
of Andhra Pradesh, to assess the impact of climate change on socio economic
conditions of farmers, to analyze the adaptation strategies taken due to climate
change and to examine the efficient Rice production systems in the study area.
A total of sample 240 paddy growing farmers were selected randomly, 40 from
each village. The important analytical tools employed in the study were the
Principle Component Analysis, Ricardian Regression Model, Logistic
Regression Model, Simple Tabular Analysis etc.
The study revealed that among the nine districts under Krishna river
basin, Anantapur was highly vulnerable whereas Krishna district was least
vulnerable.
The impact of climate change on area of crops showed that the climate
variables such as long term daily minimum temperature average (LLT) and long
term daily maximum temperature average (HLT) were important determinants
of maize and long term daily maximum temperature average (HLT) and annual
rainfall (RY) were important determinants of paddy crop where as proportion of
irrigated area to total cropped area (PROIA) and long term daily maximum
temperature average (HLT) were important variables influencing Groundnut.
In case of productivity the variables proportion of surface irrigated area
from tanks and canals (PROSUR) and long term daily minimum temperature
average (LLT) in paddy, long term daily minimum temperature average (LLT)
and long term daily maximum temperature average (HLT) in maize and long
term daily minimum temperature average (LLT) and long term rainfall average
(RLT) in Groundnut were important variables influencing productivity of crops.
The socio economic study revealed that an average age of the farmers was
36 years and the education level was up to high school level. Most of the farmers
invest their income on health ranging from Rs.10000-20000 per year. Most of the
farmers lend their credit from banks and cooperative societies. The study also
revealed that 59.17 % of farmers reported adapted and 40.83% of farmers
reported not adapted to climate change. The major constraints for not adapting
were lack of information, lack of money, shortage of labour, shortage of land and
poor potential for irrigation.
Logit model results indicate the variables that influence adaptation
capacity of farmers significantly were farm size, farming experience, access to
credit and access to extension services.
Among the different Rice production technologies in the study area, the
total cost of cultivation was high in SRI followed by machine transplanting,
farmers practice and in direct sowing. The net returns and B-C ratio were highest
in direct sowing followed by SRI, machine transplanting and farmers practice.
Cost of production was highest in farmers practice followed by machine
transplanting, SRI and direct sowing. The WUE was highest in SRI followed by
direct sowing.
 
Date 2016-06-04T10:15:27Z
2016-06-04T10:15:27Z
2011
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/66751
 
Language en
 
Relation D9038;
 
Format application/pdf
 
Publisher ACHARYA N. G. RANGA AGRICULTURAL UNIVERSITY