Estimation of feed costs and feed efficiency in typical dairy Farms of Bangladesh during Coronavirus (Covid-19) emergency: implications toward feed support policy

被引:1
作者
Akter, Amrin [1 ]
Sultana, Mst. Nadira [1 ]
Bruemmer, Bernhard [2 ]
Uddin, Mohammad Mohi [1 ,3 ]
机构
[1] Bangladesh Agr Univ, Dept Anim Nutr, Integrated Dairy Res Network IDRN, Res Grp Dairy Nutr Econ Environm & Mkt, Mymensingh 2202, Bangladesh
[2] Univ Gottingen, Dept Agr Econ & Rural Dev, Gottingen, Germany
[3] Bangladesh Agr Univ, Dept Anim Nutr, Res Grp Dairy Nutr Econ Environm & Mkt, Integrated Dairy Res Network IDRN, Mymensingh 2202, Bangladesh
来源
INDIAN JOURNAL OF DAIRY SCIENCE | 2023年 / 76卷 / 04期
关键词
Covid-19; Feed Cost; Feed efficiency; Feed Policy; South Asia;
D O I
10.33785/IJDS.2023.v76i04.011
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Feed cost is the highest cost item to the total costs of dairy farming all over the world including India, Pakistan and Bangladesh. Reducing feed costs and increasing feed efficiency are two promising ways to decrease the cost of milk production and increase the competitiveness nationally and internationally (Hemme et al. 2014). Feed price in Bangladesh dairy farm is 51% higher than global feed price which has increased further due to the sudden infection of Coronavirus (Covid-19) (IDRN, 2020). Therefore, the objective of this paper is to estimate the impact of pandemic novel Coronavirus (COVID-19) prevalence on feed costs and feed efficiency in order to find a suitable feed supporting policy to the dairy farmers. The International Farm Comparison Network (IFCN) Feed Simulation Approach and Technology Impact Policy Impact Calculations (TIPICAL) model was used for estimating feed costs and feed efficiency of the dairy farm with and without Corona situation (This model is highly relevant to this study due to the fact that this model can produce results even with the scarcity of the data and it is highly scientific and produce the results that are simultaneously used both Academia (University and Research organization) and Industry (for business strategic decisions). The Integrated Dairy Research Network (IDRN) dairy sector and dairy farm database (January 2019 to March 2020) was used where 2019 is considered as without Corona (WOC) and March 2020 is considered as with Corona (WC). Two typical farms:2cow farm (BD-2) which is representative of 42% household farm (Household Farm (HF) is defined as one the income source for livelihoods, mainly consumed at household level and sells the surplus milk. The average size of the household farm (1-3 cows/farm) as per the International Farm Comparison Network (IFCN) methodology) and fourteen cow (BD-14) which is representative of 48% family farms in Bangladesh were selected. The share of feed cost to the total costs of milk production is increased by 9.5% and 8.9% for BD-2/19-WC and BD-14/20-WC, respectively. The purchased feed costs before corona was 22.1 USD/100 kg milk for BD-2/19-WOC and 32.2 USD/100 kg milk for BD-14/19-WOC which is increased to 23.8 USD/100 kg and 35.0 USD/100 kg for BD-2/20-WC and BD-14/20-WC, respectively (Author's own results). The purchased feed costs increased by 7.6% and 8.7% for BD-2/20-WC and BD-14/20-WC, respectively while for the homegrown feed, it is increased even higher which is 14.1% and 9.7%, respectively. The results revealed that decreasing milk price and increasing feed price has direct impact on increasing feed costs of 8.6% and decreasing margin over compound feed costs by 4.5% due to Coronavirus. As a result, an increase in feed cost, decrease in the margin over total feed cost and the feed efficiency (total, energy, and protein efficiency) was observed due to coronavirus (Covid-19) infection. The finding of this study revealed that for short-term and medium term, farmers might need feed incentives either in the form of reduced feed price or liberalized concentrate feed input market. The outcome of this study is expected to be beneficial for policy makers, feed suppliers and farmers in Bangladesh and similar other countries like India, Pakistan, Sri Lanka and Nepal.
引用
收藏
页码:383 / 391
页数:9
相关论文
共 15 条
  • [1] Optimal dairy feed input selection under alternative feeds availability and relative prices
    Alqaisi O.
    Moraes L.E.
    Ndambi O.A.
    Williams R.B.
    [J]. Information Processing in Agriculture, 2019, 6 (04): : 438 - 453
  • [2] DLS, 2019, Livestock Economy at a glance
  • [3] Benchmarking of greenhouse gas emissions of bovine milk production systems for 38 countries
    Hagemann, Martin
    Hemme, Torsten
    Ndambi, Asaah
    Alqaisi, Othman
    Sultana, Mst. Nadira
    [J]. ANIMAL FEED SCIENCE AND TECHNOLOGY, 2011, 166-67 : 46 - 58
  • [4] Hemme T., 2014, Journal of Reviews on Global Economics, V3, P254
  • [5] Hemme T, 2000, Sonderheft, V215
  • [6] IDRN, 2020, Integrated Dairy Research Network-Monthly dairy sector update
  • [7] IFCN, 2019, Dairy Report for better understanding of milk production worldwide
  • [8] An economic comparison of typical dairy farming systems in South Africa, Morocco, Uganda and Cameroon
    Ndambi, Oghaiki Asaah
    Hemme, Torsten
    [J]. TROPICAL ANIMAL HEALTH AND PRODUCTION, 2009, 41 (06) : 979 - 994
  • [9] Richardson JW., 1986, Education paper for simulation class
  • [10] Comparison of water use in global milk production for different typical farms
    Sultana, M. N.
    Uddin, M. M.
    Ridoutt, B. G.
    Peters, K. J.
    [J]. AGRICULTURAL SYSTEMS, 2014, 129 : 9 - 21