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, Aditi
- Development of Weather based Yield Models for Wheat Crop in Western Zone of Haryana
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Authors
Affiliations
1 Department of Mathematics and Statistics, CCSHAU, Hisar, Haryana, IN
2 Department of Agricultural Economics, CCS HAU, Hisar, Haryana, IN
1 Department of Mathematics and Statistics, CCSHAU, Hisar, Haryana, IN
2 Department of Agricultural Economics, CCS HAU, Hisar, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 13, No 2 (2023), Pagination: 131-136Abstract
Based on weather data from 1980-1981 to 2013-2014 for the districts of Hisar, Bhiwani, and Sirsa, as well as from 1997-1998 to 2011-2012 for the district of Fatehabad, the western zone of Haryana has generated zonal wheat yield models. Multiple linear regression and main component analysis were employed to achieve this objective. The models' validity was confirmed for the post-sample years 2014-15, 2015-16, 2016-17, 2017-18, and 2018-19. The overall results show a preference for using prediction equations based on principal component analysis for recording % deviations from real-time yields. The zonal weather models can forecast the district-level wheat production four to five weeks before crop harvest.Keywords
multiple linear regression, Eigen values, PC components, higher loading displaying weather variables- A Parental perspective on School Children’s Dietary habits, Nutrition and Health outcomes
Abstract Views :122 |
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Authors
Aditi
1,
P.S. Raychaudhuri
2
Affiliations
1 Ph.D. Research scholar (Health Management) School of Management & Business Studies Jamia Hamdard University, New Delhi, IN
2 Assistant Professor, School of Management & Business Studies Jamia Hamdard University, New Delhi, IN
1 Ph.D. Research scholar (Health Management) School of Management & Business Studies Jamia Hamdard University, New Delhi, IN
2 Assistant Professor, School of Management & Business Studies Jamia Hamdard University, New Delhi, IN
Source
Parikalpana: KIIT Journal of Management, Vol 19, No 2 (2023), Pagination: 248-260Abstract
The World Obesity Federation predicts that by 2030, 6.2% of adolescents aged 10-19 will be obese, and 10.81% of children aged 5-9 will also be obese. In India, it is estimated that over 27 million children will be obese. It is important for children to have a balanced diet and exercise regularly to maintain a healthy weight and proper development. The quality of nutrients that children consume can significantly impact their health, growth, and functions. This study provides insights into the eating habits and preferences of school-aged children, the prevalence of junk food consumption, and parental concerns. Junk food is appealing to children because of its taste, affordability, and convenience, and its negative impact on health is not always understood. To promote holistic development, physical activity is essential for children’s physical, social, and mental well-being. Nutrition advice can also facilitate the adoption of healthy eating habits in the long term.Keywords
Child Junk food, Consumption pattern, Childhood Obesity, Diabetes Prevention.References
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