As a result, Morocco has become among the top 10 wheat importing countries 7. Compared to the year of 2018, wheat yield in the world increased by 3% in contrast to Morocco where the yield declined by 37%. Wheat yield in the 2019 cropping season were 3.55 t/ha in the world, 2.76 t/ha in Africa, 2.74 t/ha in North Africa and 1.61 t/ha in Morocco 6. Besides, it has a gluten content which is capable of forming the fully elastic dough required for baking leavened bread, and is also an essential ingredient globally in the food industry sector for making great varieties of food stuff 3, 4, 5. Moreover, wheat grain is nutritious and composed of starch, fiber, vitamins B and E, iron and antioxidants. Wheat ( Triticum aestivum) is one of the most important cereal crops and vital staple food worldwide 1, 2, for the reasons that it grows in both the temperate and warmer regions due to its resilience to drought and frosts. In conclusion, APSIM-Wheat model could be used as a promising tool to identify the best management practices such as determining the sowing date and selection of crop variety based on the length of the crop cycle for adapting and mitigating climate change. From the several varieties tested, Hartog, Sunstate, Wollaroi, Batten and Sapphire were yielded comparatively higher than the locale variety Marzak. The simulated result confirmed that the yield obtained from plots seeded between 25 October and 25 November was higher than that of sown until 05 January. The realization of future climate data projection and their integration into the APSIM model allowed us to obtain future scenarios of wheat yield that vary between 0 and 2.33 t/ha throughout the study period. The study showed that the performance of the model was fairly accurate as judged by having RMSE = 0.13, NSE = 0.95, and d = 0.98.
#Apsim r series#
Furthermore, series of simulations were performed to simulate the future scenarios of wheat productivity based on climate projection the optimum sowing date under water deficit condition and selection of appropriate wheat varieties. A quantitative statistics, i.e., root mean square error (RMSE), Nash–Sutcliffe efficiency (NSE), and index of agreement (d) were used in model performance evaluation. Model calibration was carried out using data collected from field trials.
#Apsim r simulator#
Miguez (femiguez at iastate.In this study, we evaluated the suitability of semi-arid region of Central Morocco for wheat production using Agricultural Production Systems sIMulator (APSIM) considering weather, soil properties and crop management production factors. If you have any questions contact Fernando E. If you do build the vignettes, there is an introduction to the packageĪnd a document which might help you build your own scripts either in R Still, if you want to build the vignettes, then use this insteadĭevtools::install_github("femiguez/apsimx", build_vignettes = TRUE,īuild_opts = c("-no-resave-data", "-no-manual")) Have recently eliminated the APSIM-X dependency. Note: Building the vignettes does not require the presence of APSIM-X as I It is not necessary to build the vignettes as they are also at: Library(remotes) remotes::install_github("femiguez/apsimx") library(apsimx) Library(devtools) devtools::install_github("femiguez/apsimx") library(apsimx)
#Apsim r install#
If you want to install this package from github try in R:
#Apsim r update#
Required for Windows and I have had to update the Mono framework toĦ.12 on Mac (again this applies to pre Sep 2021). Since APSIM Next Gen 2021.04.01 (at least). If you are running the latest version of APSIM Next Gen (Sept 2021 or later), you do Mono should be installed first (in Mac and Linux). The installer also updated GTK3 to 3.24.20 during the installation.įor older versions of APSIM Next Gen (before Sept 2021) the mono framework was required to run on Mac and Linux (Debian). The dotnet runtime environment is shipped with the image/package.įor current versions (Nov 2021), on Windows, the 'Microsoft Windows Desktop Runtime' 3.1.14 is required.