DYNAMICS OF CROPPING PATTERN IN KRISHNA ZONE OF ANDHRA PRADESH- MARKOV CHAIN APPROACH.


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Authors

  • 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 matrix

Abstract

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.

References

Aravind Kammar and Basavaraja, H. 2012.

Structural Changes in Cropping Pattern in

Northern Transitional Zone of Karnataka.

International Research Journal of

Agricultural Economics and Statistics, 3(2):

-201.

Ardeshna, N.J. and Shiyani, R.L. 2013. Dynamics

of Cropping Pattern in Gujarat State: A

Markov Chain Approach. Asian Academic

Research Journal of Social Sciences &

Humanities, 1(9) - 56-66.

Socio-economic survey, 2020-21

www.apsdps.ap.gov.in, Government of

Andhra Pradesh.

Dayakar Rao and Shahid Parwez,

Dynamics of Cropping Pattern in

Sorghum growing States of India.Indian

Journal of Agricultural Economics, 60(4):

-659.

Geetha Mohan, 2017. Determinants of Cropping

Pattern Changes in Andhra Pradesh, India.

Asian Journal of Agricultural Extension,

Economics & Sociology, 20(3): 1-15.

Lee, J.C., Judge, G.G. and Takagama, T. 1965.

On Estimating the Transitional Probabilities

ofMarkov Process. Journal of Farm

Economics, 47 (3):742-762.

Madhuri, K. Manwar and Nagpure, S.C. 2017.

Structural Changes in Cropping Pattern,

International Journal of Science,

Environment and Technology, 6(5): 2885

– 2892.

Ragamalika, V., Rajeswari, S., Aparna,B.and

Ravindra Reddy, B. 2021. Crop Shifts in

Rayalaseema Region of Andhra Pradesh:

A Markov Chain Approach.Andhra Pradesh

Journal of Agricultural Sciences: 1-9.

Rajini Devi, D.A., Uma Reddy, R., Madavi, B.,

Ravi, P. and Sadvi, P. 2019. Dynamics of

Cropping Pattern in Karimnagar District of

Telangana – A Markov Chain

Approach.Asian Journal of Agricultural

Extension, Economics & Sociology, 37(4):

-5.

Ramana, M.R.V. and Rekha, M.2012.Pricing of

paddy: A case study of Andhra Pradesh.Department of Economic and Policy

Research, Reserve Bank of India, study

no. 38: 11-52.

Ramya Lakshmi, S.B. and Bhavani Devi, I. 2012.

Crop Shifts in Coastal Region of Andhra

Pradesh: A Markov Chain Approach.

Agricultural Situation in India, 69(7): 363-

Reddy, D.R. and Achoth, L. 2000. Dynamics of

the Cropping Pattern Changes in Kerala:

A Markov Chain Approach. Mysore Journal

of Agricultural Sciences, 34: 376-381.

Siva Jyothi, V., Prasuna Rani, P., Ramana, K.V.,

Ratna Prasad, P. and Sree Rekha, M.

Cropping pattern changes: A case

study in Krishna delta region of Andhra

Pradesh.International Journal of Chemical

Studies, 8 (1): 494-500.

Suhasini, P., Kiresur, V.R., Rao, G.D.N. and

Bantilan, M.C.S. 2009. Adoption of

chickpea cultivars in Andhra Pradesh:

Pattern, trends and constraints. Baseline

research report for Tropical Legumes-

II,International Crops Research Institute for

the Semi-Arid Tropics (ICRISAT);1-69.

Srivastavaa, S.K., Sivaramane, N. and

Mathura,V.C.2010. Diagnosis of Pulses

performance of India.Agricultural

Economics Research Review, 23: 137-148.

Vinayak Jalikatti and Poddar,R.S. 2019.An

Economic Analysis of Changing Cropping

Pattern in Almatti Command Area of

Karnataka, India.International Journal of

Current Microbiology and Applied

Sciences,8(10): 1052-1059.

Wali, V.S., Poddar, R., Mundinamani, S.M. and

Yenagi, B.S. 2019. An Analysis of Cropping

Pattern in Malaprabha Project Command

Area. International Journal of Agriculture

Sciences, 11(2): 7739-7742.

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Submitted

16-02-2023

Published

30-06-2022

How to Cite

G RAGHUNADHA REDDY*, M CHANDHRASEKHAR REDDY, K PRAVALLIKA AND B MEHER GITA. (2022). DYNAMICS OF CROPPING PATTERN IN KRISHNA ZONE OF ANDHRA PRADESH- MARKOV CHAIN APPROACH. The Journal of Research ANGRAU, 50(1), 104-115. https://epubs.icar.org.in/index.php/TJRA/article/view/133353

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