DYNAMICS OF CROPPING PATTERN IN KRISHNA ZONE OF ANDHRA PRADESH- MARKOV CHAIN APPROACH.
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Authors
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G RAGHUNADHA REDDY*, M CHANDHRASEKHAR REDDY, K PRAVALLIKA AND B MEHER GITA
Department of Agricultural Economics, ANGR Agricultural University, RARS, Lam, Guntur
Keywords:
Cropping pattern, Markov chain analysis, Transitional probability matrixAbstract
The cropping pattern plays a vital role in determining the level of agricultural production and
reflects the agricultural economy of an area or region. The present study was conducted to know the
changes in the cropping pattern of the Krishna zone of Andhra Pradesh using Markov chain analysis.
Time series data on the area under different crops grown from the period 2000-01 to 2019-20 were
collected and analyzed for 3 districts in the Krishna zone separately for kharif and rabi seasons. The
results revealed that in the Krishna district, blackgram retained 88 per cent in rabi season and just
6.9 per cent in kharif season. Maize as an emerging crop retained more than 75 per cent of its share
in both Krishna and Guntur districts. Redgram being a kharif crop, retained 37.5 per cent in Krishna
district and its retention was more in Guntur (57.5 per cent) and Prakasham district (63.8 per cent).
At zonal level redgram retained 45.1 per cent of its previous acreage. Zonal level retention values
range in between their district wise retention. A high degree of substitutability was noticed between
two commercial crops i.e, cotton and chillies. Paddy has emerged as one of the stable crops in all
three districts irrespective of the season. Greengram’s ability to retain its area was less in the study
period.
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