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J.C. and Fosgate, O.T. (1970). Comparison of two different systems of feeding dairy cows for three consecutive lactations. Journal of Dairy Science 53: 561.
25 Maekawa, M., Beauchemin, K.A., and Christensen, D.A. (2002). Effect of concentrates level and feeding management on chewing activities, saliva production and ruminal pH of lactating dairy cows. Journal of Dairy Science 85: 1165–1175.
26 Mahanta, S.K. (2017). Economic Balanced Rations for Dairy Animals, Research Bulletin No. 35. Indian Grassland and Fodder Research Institute, Jhansi, Uttar Pradesh, India.
27 Makkar, H.P.S. (2016). Smart livestock feeding strategies for harvesting triple gain – the desired outcomes in planet, people and profit dimensions: a developing country perspective. Animal Production Science 56: 519–534.
28 Pandey, K.C. and Roy, A.K. (2011). Forage Crops Varieties. Jhansi, India: Indian Grassland and Fodder Research Institute.
29 Raja Kishore, K., Srinivas Kumar, D., Ramana, J.V., and Raghava Rao, E. (2013). Field trial of maize stover based complete ration vis‐à‐vis conventional ration on lactation performance in graded Murrah buffaloes. Animal Science Reporter 7 (4): 123–127.
30 Reddy, D.N. and Reddy, M.R. (1983). The effect of feeding complete feeds on nutrient utilization and milk production on crossbred cows. Indian Journal of Dairy Science 36 (4): 421–423.
31 Sarker, N.R., Yeasmin, D., Tabassum, F., and Habib, M.A. (2019). An on farm study for feeding impact of total mixed ration (TMR) in milking cow. Current Journal of Applied Science and Technology 35 (2): 1–8.
32 Schraufnagel, S. (2007). Technology Systems and Business Performance on Wisconsin Dairy Farms. University of Wisconsin‐River Falls.
33 Sherasia, P.L., Phondba, B.T., Hossain, S.A., and Garg, M.R. (2016). Impact of feeding balanced rations on milk production, methane emission, metabolites and feed conversion efficiency in lactating cows. Indian Journal of Animal Research 50: 505–511.
34 Singh, D.K., Sahu, S.P., and Nils, T. (2019). Increasing dairy cow productivity through new balanced concentrate feed: a study in Bihar, India. Indian Journal of Animal Nutrition 36 (1): 11–16.
35 Snedecor, G.W. and Cochran, W.G. (1994). Statistical Methods, 9e. New Delhi: Oxford and IBH Publishing Co. Pvt. Ltd.
36 Somvanshi, S.P.S., Singh, H.P., Shaktwat, R.P.S. et al. (2017). Study of sani feeding techniques with supplementation of mineral mixture in dairy animals. Plant Archives 17 (2): 1219–1220.
37 Su, A.K. and Hsieh, R.C. (1999). Effect of feeding total mixed ration on the lactation performanceand blood parameters of dairy goats. Journal of Taiwan Livestock Research 32: 183–191.
38 Vagamashi, D.G., Murkute, V.D., Jangale, P.R., and Jotaniya, A.H. (2016). Impact of balanced feeding on milk production, milk fat and feeding cost in crossbred cows. International Journal of Science, Environment and Technology 5 (6): 3989–3992.
39 Zanton, G.I. and Heinrichs, A.J. (2007). Effect of controlled feeding of a high‐forage or high‐concentrate ration on heifer growth and first lactation milk production. Journal of Dairy Science 90: 3388–3396.
4 Multifaceted Impact of Lockdown During COVID‐19 on Food Security and Smallholder Agricultural Systems
Aishwarya1, Meenu Rani2, Bhagwan Singh Chaudhary3, Bharat Lal1, Rajiv Nandan1, and Pavan Kumar4
1 College of Agriculture, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India
2 Department of Geography, Kumaun University, Nainital, Uttarakhand, India
3 Department of Geophysics, Kurukshetra University, Kurukshetra, Haryana, India
4 College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India
CONTENTS
4.2 Predictive Model for Deflation of COVID‐19 Spread in India
4.3 Impact on the National Economy
4.4 Government of India and Local Government Initiatives
4.5 The Economic Challenges of Local Farmers
4.6 Impact on The Economy of Indian Farmers 4.6.1 Lack of Agricultural Labor Holds Up Harvesting 4.6.2 Is Price Crash in the Post‐Lockdown Phase a Reality? 4.6.3 Steps Taken by the Government to Announce Packages, Do They Support?
4.8 Impact on State Agriculture
4.1 Introduction
With the emergence of coronavirus disease (COVID‐19) as a public health emergency of international concern, India seems to be one of the top vulnerable countries. COVID‐19 is the seventh member of the coronavirus family and in the past six other types have already been reported. The genetic and genome structure of COVID‐19 is approximately 80% similar to that of the SARS virus detected in bats (Linton et al. 2020). The symptoms of its infection are almost identical to the seasonal flu where patients may have cold, cough, and fever. However, the actual detection is only possible after the clinical test (Kumar et al. 2021; Singh et al. 2021), which is another big challenge for a populated country like India, with limited testing facilities. Looking at the pace of its spread and the severity of the situation, the WHO on 23 January 2020, declared COVID‐19 outbreak as a public health emergency of international concern (Sohrabi et al. 2020; World Health Organization 2020). The earlier pandemic of Spanish flu in the year 1918 tolled 50 million deaths worldwide (Chatterjee et al. 2020) and remained active for more than the next two years until it was controlled (https://www.history.com/news/spanish‐flu‐second‐wave‐resurgence). Thus, it becomes essential to study the trajectories of infection, death, and recovery for the near future. This is expected to assist policymakers in formulating plans and adopt adequate measures to control any further damage caused by the COVID‐19 (Raghunathan et al. 2019).
4.2 Predictive Model for Deflation of COVID‐19 Spread in India
This result is based on the statistical model generated for the possible decline of COVID‐19 cases and their duration in the country or impact based on parameters such as GDP, control rate, facilities, economic measures, and government policies. Here, the results are based partly on the possible recovery rates,