A bio-economic model for improving irrigated durum wheat performance and regional profits under mediterranean conditions - Archive ouverte HAL Access content directly
Journal Articles Agriculture Year : 2022

A bio-economic model for improving irrigated durum wheat performance and regional profits under mediterranean conditions

(1) , (1) , (2, 3) , (3)
1
2
3

Abstract

Irrigated durum wheat is a staple food crop that occupies important areas in Tunisia. However, its performance remains weak, with an average national yield of no more than 7 tons ha−1 and low profitability. Overall, on-farm wheat production will need to increase considerably to meet future demand and ensure minimum profitability for farmers. To this end, this study aims to identify the main levers for improving durum wheat crop performance. For this purpose, we have developed a regional bio-economic model by linking a biophysical model (CROPSYST) with an economic optimization model (MORBIT). CROPSYST was used to establish a database with a view to determining the relationships between farming practices, durum wheat yields, and water productivity within a context of high climate variability. The database was then integrated into a MORBIT model that analyzed the effects of farming practices on durum wheat performance and regional profits. Three scenarios related to irrigation control and the increase in durum wheat prices were developed. The results showed that reconciling irrigation practices with economic policies is the best alternative to improve durum wheat performance and increase profits at a regional level.
Fichier principal
Vignette du fichier
PRO47383.pdf (1.31 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-03656349 , version 1 (02-05-2022)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Houda Mazhoud, Fraj Chemak, Hatem H. Belhouchette, Roza Chenoune. A bio-economic model for improving irrigated durum wheat performance and regional profits under mediterranean conditions. Agriculture, 2022, 12 (5), pp.618. ⟨10.3390/agriculture12050618⟩. ⟨hal-03656349⟩
21 View
22 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More