TY - JOUR
T1 - Capacity modelling and effects of climate risks on agricultural production systems in Southeast Asia
AU - Geetha, Mohan
AU - Hoogenboom, Gerrit
AU - Jintrawet, Attachai
AU - Buddhaboon, Chitnucha
AU - Anothai, Jakarat
N1 - Publisher Copyright:
© The authors 2024.
PY - 2024
Y1 - 2024
N2 - Southeast Asia (SEA) has experienced frequent floods and droughts, posing severe challenges for farmers, agricultural scientists and extension officers. Consequently, crop modelling has become im-perative in developing agricultural production systems and making informed decisions at the field level. The Decision Support System for Agrotechnology Transfer (DSSAT) can be effectively utilised at both farm and regional levels to assess the influence of climate change on production across different spatial scales. Moreover, it supports planning adaptation strategies tailored to the needs of farmers. The one-week hands-on training workshop aims to enhance technical and scientific proficiency in crop simulation modelling and evaluate the effects of climate risks on agricultural production systems in Southeast Asian countries such as Cambodia, Lao PDR, Thailand and Vietnam. A total of 62 participants from the selected countries, including Singapore and Ethiopia, were joined in the training. Among them were 48 male and 24 female individuals, comprising researchers, students, scientists, academicians and extension officers. The participants predominantly acquired knowledge of crop simulation modelling techniques by utilising existing case examples and lecture materials from the DSSAT foundation. Furthermore, the training workshops establish research networks and collaborations among the participant countries, facilitating the exchange of scientific knowledge related to innovative farm management practices and fostering interactions between local agricultural communities and scientists.
AB - Southeast Asia (SEA) has experienced frequent floods and droughts, posing severe challenges for farmers, agricultural scientists and extension officers. Consequently, crop modelling has become im-perative in developing agricultural production systems and making informed decisions at the field level. The Decision Support System for Agrotechnology Transfer (DSSAT) can be effectively utilised at both farm and regional levels to assess the influence of climate change on production across different spatial scales. Moreover, it supports planning adaptation strategies tailored to the needs of farmers. The one-week hands-on training workshop aims to enhance technical and scientific proficiency in crop simulation modelling and evaluate the effects of climate risks on agricultural production systems in Southeast Asian countries such as Cambodia, Lao PDR, Thailand and Vietnam. A total of 62 participants from the selected countries, including Singapore and Ethiopia, were joined in the training. Among them were 48 male and 24 female individuals, comprising researchers, students, scientists, academicians and extension officers. The participants predominantly acquired knowledge of crop simulation modelling techniques by utilising existing case examples and lecture materials from the DSSAT foundation. Furthermore, the training workshops establish research networks and collaborations among the participant countries, facilitating the exchange of scientific knowledge related to innovative farm management practices and fostering interactions between local agricultural communities and scientists.
KW - AGRICULTURAL PRACTICES
KW - COLLABORATION
KW - CROP MODELLING
KW - DSSAT TRAINING
KW - NETWORKS
KW - SOUTHEAST ASIA
UR - http://www.scopus.com/inward/record.url?scp=85207500929&partnerID=8YFLogxK
U2 - 10.30852/sb.2024.2570
DO - 10.30852/sb.2024.2570
M3 - 学術論文
AN - SCOPUS:85207500929
SN - 2522-7971
VL - 14
SP - 110
EP - 119
JO - APN Science Bulletin
JF - APN Science Bulletin
IS - 1
ER -