Abstract
We conducted a comprehensive review of livestock farming in Bangladesh to unveil current challenges and potential opportunities in this agriculture sector. Six challenges were selected as the major constraints to livestock farming in Bangladesh: climate change and natural hazards, poor veterinary care, breeding and management resources, marketing and international trade, and the SARS-CoV-2 pandemic. Solutions to these challenges (such as hazardous weather shelters, intensified surveillance of biosecurity for farms and markets, and non-government, government, and private organizations working together to educate and assist farmers) must target specific regions where the solutions would have the greatest effect.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/23311932.2023.2241274
Data availability statement
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Funding
Notes on contributors
Kieron Moller
Kieron Moller is a master’s student in the Biosystems and Agricultural Engineering Department of Michigan State University in East Lansing, Michigan. His areas of expertise are farm modeling and climate change.
Rasu Eeswaran
Rasu Eeswaran is currently a Senior Lecturer attached to the Department of Agronomy, University of Jaffna, Sri Lanka. His areas of expertise are Agronomy, Climate Resilient Agriculture, Crop Modeling, and Food Security.
A. Pouyan Nejadhashemi
A. Pouyan Nejadhashemi is currently a Michigan State University Foundation Professor. As a leading expert in environmental modeling, he examines water and its distribution, movement, and quality in various environments. He has authored over 130 peer-reviewed publications.
J. Sebastian Hernandez-Suarez
J. Sebastian Hernandez-Suarez is a postdoctoral scholar at the Department of Earth System Science, Stanford University. His research comprises the application of artificial intelligence and numerical modeling for understanding coupled human-environment systems and supporting multisector decision-making.