Analysis of State Wise Yield of Major Food Crops in India for the Year 2014-15

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Bhaskarjyoti Talukdar
Pranjal Kumar Chakravartty
Bandana Sharma

Abstract

Agriculture plays a pivotal role in India's economy and food security. Understanding the state-wise yield variations of major food crops is essential for informed policymaking and sustainable agricultural practices. This study conducts a comprehensive analysis of state-wise crop yield data for major food crops, including rice, wheat, pulses, and sugarcane. Our findings reveal significant disparities in crop yields across different states in India. Factors such as climate variability, soil quality, irrigation infrastructure, and government interventions have profound effects on crop production. While states like Punjab and Haryana consistently exhibit high yields of wheat and rice, others face challenges in achieving similar productivity. The state-wise variability in crop yields underscores the need for region-specific agricultural strategies.   In this study, covariance matrix of nine major food crops have been generated along with graphical representation of state wise food grains. Scatter plot represented nine variables considering major crops in India. Variation has been examined using PCA technique and justification has been done using Scree Plot. Biplots are plotted for all the five components of PCA technique. Kruskal-Wallis Rank Sum Test is conducted for Staple and Nonstaple food crops and found heterogeneity among six zones in India.

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How to Cite
Bhaskarjyoti Talukdar, Pranjal Kumar Chakravartty, & Bandana Sharma. (2023). Analysis of State Wise Yield of Major Food Crops in India for the Year 2014-15 . Journal of Advanced Zoology, 44(2), 280–300. https://doi.org/10.53555/jaz.v45i2.4672
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Articles
Author Biographies

Bhaskarjyoti Talukdar

Ph.D Research Scholar, Department of Statistics, Cotton University, Guwahati, Pincode-781001, District- Kamrup Metro, Assam, India. ORCID ID: 0009-0004-2768-7479

Pranjal Kumar Chakravartty

Data Analyst, Assam Rural Infrastructure and Agricultural Services (ARIAS) Society, Guwahati, Pincode-

781022, District-Kamrup Metro, Assam, India

Bandana Sharma

Associate Professor, Department of Statistics, Cotton University, Guwahati, Pincode-781001, District-Kamrup Metro, Assam, India

References

Abellanosa, A. L., & Pava, H. M. (1980). Introduction to Crop Science. Central Mindanao University, Musuan, Bukidnon: Publications Office.

Rubenstein, J. M. (2003). The Cultural Landscape: An Introduction to Human Geography (7th ed.).Pearson Education, Inc.

Labour Code of the Philippines. Article 97(d), Chapter I, Title II.

Black, H. C. (1990). Black's Law Dictionary: Definitions of the Terms and Phrases of American and English Jurisprudence (6th ed.). West Publishing Co.

World Bank. (n.d.). Agricultural land (% of land area) – India. World Bank Open Data.

https://data.worldbank.org/indicator/AG.LND.AGRI.ZS?locations=IN

Food and Agriculture Organization of the United Nations. (n.d.). India at a Glance. https://www.fao.org/india/fao-in-india/india-at-a-glance/en/

Ministry of Agriculture & Farmers Welfare. (n.d.). Contribution of Agricultural Sector in GDP.

https://www.pib.gov.in/PressReleasePage.aspx?PRID=1909213

International Monetary Fund. (n.d.). India. https://www.imf.org/en/Countries/IND

Karnataka State Council for Science and Technology. (2015). The Pipeline Trencher. http://www.kscst.iisc.ernet.in/sppArchive/public/Abstract/038/7914.pdf

NITI Aayog. (n.d.). Rural Women: Key to New India's Agrarian Revolution. https://www.niti.gov.in/rural- women-key-new-indias-agrarian-revolution

Department of Agriculture, Cooperation and Farmers Welfare, Govt. of India. (2015). Agricultural Statistics at a Glance. www.agricoop.nic.in. Books Private Limited, New Delhi.

[Website]. (n.d.). Essay on Important Food Crops of India. http://www.shareyouressays.com/120735/essay- on-important-food-crops-of-india-47-42-words

Roy, A., Singh, N. U., Dkhar, D. S., Mohanty, A. K., Singh, S. B., & Tripathi, A. K. (2015). Food Security in North-East Region of India --- A State-wise Analysis. Agricultural Economics Research Review, 28

(Conference Number), 259-266. DOI: 10.5958/0974-0279.2015.00041.5

Sharma, P., & Singh, A. K. (2017). Association of state-wise Food Security Index with Climatic Factors in India: Evidence from state-wise panel Data. Journal of Global Agriculture and Ecology, 6(3), 196-205.

Khan, W., Ansari, S. A., & Ali, T. (2020). Economic reforms and agriculture in India: A state-wise analysis of the post-reforms period. J Public Affairs, 2020; e2390. DOI: https://doi.org/10.1002/pa.2390

Madhukar, A., Kumar, V., & Dashora, K. (2020). Spatial and Temporal Trends in the Yields of Three Major Crops: Wheat, Rice, and Maize in India. Int. J. Plant Prod, 14, 187–207. DOI: https://doi.org/10.1007/s42106-019-00078-0

Kumar, A., Sharma, P., & Joshi, S. (2015). Effects of Climatic Factors on Agricultural Productivity in India: A State-wise Panel Data Analysis. International Journal of Basic and Life Sciences, 3(1), ISSN (Online): 2320-513X.

Samal, P., Jambhulkar, N. N., & Repalli, S. K. (2018). State-Wise Analysis of Growth in Production and Profitability of Rice in India. Indian Journal of Economics and Development, 4(3), 399-409. DOI:

5958/2322-0430.2018.00151.8

Ajay Kumar and Pritee Sharma (2013). Impact of Climate Variation on Agricultural Productivity and Food Security in Rural India. Economics Discussion Papers, 43, Kiel Institute for the World Economy. DOI: https://dx.doi.org/10.2139/ssrn.4144089

Singh, Ajay Kumar, & Jyoti, Bhim (2021). Projected Food-grain Production and Yield in India: An

Evidence from State-wise Panel Data Investigation during 1977-2014. Journal of Agricultural Sciences, 16(1). URL: http://repo.lib.sab.ac.lk:8080/xmlui/handle/123456789/1059

Mathur, Archana S., Das Surajit, & Sircar Subhalakshmi (2006). Status of Agriculture in India: Trends and Prospects. Economic and Political Weekly, 41(52), 5327-5336. DOI: http://www.jstor.org/stable/4419078

Manogna, R. L., & Mishra, A. K. (2020). Agricultural production efficiency of Indian states: Evidence from data envelopment analysis. Int. J. Fin. Econ, 01–12. DOI: https://doi.org/10.1002/ijfe.2369