التفاصيل البيبلوغرافية
| العنوان: |
Integrating agrotechnical practices to optimize maize yield potentials in a regional variable climate: DSSAT and Python tools. |
| المؤلفون: |
Mirshekarnezhad, Babak |
| المصدر: |
Cereal Research Communications; Mar2024, Vol. 52 Issue 1, p301-312, 12p |
| مصطلحات موضوعية: |
PYTHON programming language, CROP management, ECONOMIC change, CROP yields, ECONOMIC structure |
| مستخلص: |
Climate simulation models, crop yield prediction and programming tools are relevant applications that help farmers to create a platform in the natural fluctuations traced over terrestrial ecosystems. For this to be achieved, daily weather parameters of Karaj agroclimate site as baseline period (1990–2020) were measured to simulate two climatic scenarios including A2 (A differentiated world with an emphasis on high population growth) and B1 (A convergent world with rapid change in economic structures). Thereby, crop management practices under set up of CERES-Maize model in DSSAT application were taken to account for demarcating the agrotechnical practices of maize (cv. S.C. 704). Further, a period of 30 years generated data (2018–2048) was used to run standardized precipitation index for which the html code integrated to render integers in a python function to exhibit drought periods of the experimental site. To provide better modularity and a high degree of code reusing an enumerable function was used to perform a single related action for computing irrigation volumes. The visualization of climatic variables revealed mean annual increase in temperature around 1.5 °C by the year 2050 under A2 scenario. Also, the highest increase in precipitation changes was approximated by 36% for the year 2030 under B1 scenario. Based on common planting date, the overall changes of grain yield were simulated from + 11.6 to − 34% in response to future negative conditions. The maximum values of water productivity were measured by 27% and 29% under low irrigation factor (IF60) in the baseline period and B1 scenario, respectively. However, maize seedlings under early planting date and B1 scenario were less affected by future negative impacts. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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