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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(11): 2587-2595
DOI: https://doi.org/10.20546/ijcmas.2017.611.303


Growth Models and Projection of Area, Production and Productivity of Wheat in India and Uttar Pradesh, India
Manvendra Singh* and K. Supriya
Department of Statistics and Mathematics, College of Agriculture, ANGRAU, Rajendranagar, Hyderabad, Telangana, India
*Corresponding author
Abstract:

Wheat (Triticum aestivum L.) is one of the most important cereal crops in India and a main source of vitamins and minerals such as thiamine, niacin, iron, riboflavin, vitamin D, calcium, and fiber. Wheat covers approximately 25% of the total global area devoted to by cereal crops. Since the consumption of wheat is directly proportional to the population growth. Feeding burgeoning population through the next 25 years remains an uphill task. Increasing domestic demand owing to population growth should meet the future challenges of food and nutritional security. On this prospective for the planning purposes decision to invest accordingly for the short and long-term plans, the present study has been undertaken to evaluate the growth in area, production and productivity of Wheat crop in India by using different growth models. Linear, logarithmic, Inverse, Quadratic, Cubic, Power, compound, Sigmoid, Growth, and Exponential models have been used to find out the best relationship. Adj. R2 value has been used for selecting the best fitted model.


Keywords: Wheat, Linear Growth Rate (LGR), Compound Growth Rate (CGR), Statistical models, Future projections.
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How to cite this article:

Manvendra Singh and Supriya, K. 2017. Growth Models and Projection of Area, Production and Productivity of Wheat in India and Uttar Pradesh, India.Int.J.Curr.Microbiol.App.Sci. 6(11): 2587-2595. doi: https://doi.org/10.20546/ijcmas.2017.611.303