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Tracking the Disparities in Gujarat Dairy Development – An Application of Biplot Analysis


Affiliations
1 ICAR-National Dairy Research Institute, Karnal 132 001, India
2 ICAR-Indian Institute of Wheat and Barley Research, Karnal 132 001, India
 

Gujarat, despite being a highly progressive state of India in terms of dairying, has great potential to enhance its milk production and make dairying a more lucrative enterprise. It is home to many high quality dairy animal breeds and has a very active milk cooperative structure which can accelerate the possibilities of uplifting the level of milk production further, if proper and balanced micro level development policies are promoted. The present study depicts the causes for disparities besides analysing the strengths and weaknesses in dairying across 26 districts in Gujarat. To identify and capture the variation in resource use which causes disparities in dairy development, the principal component analysis-based biplot technique was employed. Data on different variables like resource availability, infrastructure and veterinary facilities, and, milking animals and their yields have been sourced from 26 districts of Gujarat for tracing the disparity. The conclusions drawn from the biplot imply that promoting the quality of animal breeds and increasing the population of high yielding cattle breeds in low-developed districts can lead to high milk production. In the setting of increased milk production, the cooperative milk marketing structure will become more dynamic and result in enhanced income for dairy producers.

Keywords

Biplot, Eigen Value, Gujarat Dairy Development, PCA, Regional Disparity.
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  • NDDB, 2015–16; http://dahd.nic.in/sites/default/files/NDDB%-20AR%202015-16.pdf (accessed on 18 May 2017).
  • Belhekar, S. and Dash, S., Role of dairy industry in rural development in India. Indian J. Res., 2016, 5(11), 509–510.
  • Chakraborty, S., On world milk day, a look at how India became the largest producer and why it continues to be so. Financial Express, 2017; http://www.financialexpress.com/economy/on-world-milk-day-a-look-at-how-india-became-the-largest-producer-and-why-it-continues-to-be-so/695991/
  • Statistics Times, 2015; http://statisticstimes.com/economy/gdp-of-indian-states.php (accessed on 26 April 2017).
  • Times of India, 2014; http://timesofindia.indiatimes.com/india/Centre-studies-Modis-animal-hostel-scheme/articleshow/37878661.cms (accessed on 18 May 2017).
  • Kale, R. B., Ponnusamy, K., Chakravarty, A. K., Sendhil, R. and Mohammad, A., Assessing resource and infrastructure disparities to strengthen Indian dairy sector. Indian J. Anim. Sci., 2016, 86(6), 720–725.
  • Gabriel, K. R., The biplot graphic display of matrices with application to principal component analysis. Biometrika, 1971, 58(3), 453–467.
  • Torres-Salinas, D., Robinson-Garcia, N., Jimenez-Contreras, E., Herrera, F. and Lopez-Cozar, E. D., On the use of Biplot analysis for multivariate bibliometric and scientific indicators. J. Am. Soc. Infor. Sci. Technol., 2013, 64, 1468–1479; doi:10.1002/asi.22837.
  • Jacoby, W. G., Statistical Graphics for Visualizing Multivariate Data, Sage publication, New Delhi, 1998.
  • Kroonenberg, P. M., Applied Multiway Data Analysis, John Wiley & Sons, Inc. Publication, 2007.
  • Rana, V., Ram, S., Sendhil, R., Nehra, K. and Sharma, I., Physio-logical, biochemical and morphological study in wheat (Triticum aestivum L.) RILs population for salinity tolerance. J. Agric. Sci., 2015, 7, 119–128; doi:0.5539/jas.v7n10p119.
  • Yan, W. and Rajcan, I., Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci., 2002, 42, 11–20.
  • Rubio, J., Cubero, J. I., Martın, L. M. and Suso, M. J., Flores, F., Biplot analysis of trait relations of white lupin in Spain. Euphytica, 2004, 135, 217–224; doi:10.1023/B:EUPH.0000014911.70355.c9
  • Shah, J. and Dave, D., Regional trends and pattern in milk production and drivers for future growth in Gujarat state. Agric. Econ. Res. Rev., 2010, 23, 259–302.

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  • Tracking the Disparities in Gujarat Dairy Development – An Application of Biplot Analysis

Abstract Views: 236  |  PDF Views: 80

Authors

Darshnaben P. Mahida
ICAR-National Dairy Research Institute, Karnal 132 001, India
R. Sendhil
ICAR-Indian Institute of Wheat and Barley Research, Karnal 132 001, India
Smita Sirohi
ICAR-National Dairy Research Institute, Karnal 132 001, India
B. S. Chandel
ICAR-National Dairy Research Institute, Karnal 132 001, India
K. Ponnusamy
ICAR-National Dairy Research Institute, Karnal 132 001, India
Gopal Sankhala
ICAR-National Dairy Research Institute, Karnal 132 001, India

Abstract


Gujarat, despite being a highly progressive state of India in terms of dairying, has great potential to enhance its milk production and make dairying a more lucrative enterprise. It is home to many high quality dairy animal breeds and has a very active milk cooperative structure which can accelerate the possibilities of uplifting the level of milk production further, if proper and balanced micro level development policies are promoted. The present study depicts the causes for disparities besides analysing the strengths and weaknesses in dairying across 26 districts in Gujarat. To identify and capture the variation in resource use which causes disparities in dairy development, the principal component analysis-based biplot technique was employed. Data on different variables like resource availability, infrastructure and veterinary facilities, and, milking animals and their yields have been sourced from 26 districts of Gujarat for tracing the disparity. The conclusions drawn from the biplot imply that promoting the quality of animal breeds and increasing the population of high yielding cattle breeds in low-developed districts can lead to high milk production. In the setting of increased milk production, the cooperative milk marketing structure will become more dynamic and result in enhanced income for dairy producers.

Keywords


Biplot, Eigen Value, Gujarat Dairy Development, PCA, Regional Disparity.

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DOI: https://doi.org/10.18520/cs%2Fv114%2Fi10%2F2151-2155