Impact of climatic factors and poverty on wheat yields via machine learning in a semi-arid region across West Asia.

DOI: 10.31220/agriRxiv.2024.00239
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
  •  

    Abstract: Abstract Winter-sown wheat is particularly vulnerable to high temperatures in spring. However, little is known concerning the impact of high temperatures and other climatic and non-climatic factors in combination on winter-sown wheat yields in arid and semi-arid regions. Therefore, in this study we investigate the impacts of high temperatures and other climatic indices, including evapotranspiration and aridity index during spring months, and non-climatic factors, including technology improvement and poverty ratio on irrigated and dryland wheat yields. We employed Random Forests a machine learning technique to our long-term data (1980-2010) and annual wheat yields (irrigated and dryland) for 27 provinces of Iran. The results show that technology improvement and poverty ratio are the most important variables which explain irrigated wheat yields variability. Temperatures above 31°C, evapotranspiration and aridity index are the other variables that alter irrigated whet yields in the region during the period 1980-2010. Dryland wheat yields mainly explained by temperatures above 31°C. Poverty ratio, technology improvement, evapotranspiration and aridity index ranked after high temperatures above 31°C, respectively. This study demonstrates that, although, in arid areas technological improvement and irrigation may avoid yield reduction due to high temperatures in spring months, in poor arid areas and dryland systems, high temperatures significantly reduce wheat yields.

    Key words: wheat yields; high temperatures; irrigated; evapotranspiration; aridity index; technology improvemen

    Submit time: 19 March 2024

    Copyright: The copyright holder for this preprint is the author/funder, who has granted agriXiv a license to display the preprint in perpetuity.
  • 图表

  • Maria Pía Alonso, Maria Pía Alonso, Ana Clara Pontarol. Selection for high spike fertility index in early generations increases grain number per unit area (and yield) of advanced breeding lines in bread wheat.. 2022. doi: 10.31220/agriRxiv.2022.00127

    Paul Chaibva, Cecil Mugala, Veronica Makuvaro, Tavagwisa Muziri, Ignatius Chagonda, Blessing Mirika Nda. Irrigation frequency and soil type influence germination and early growth of quinoa ( Chenopodium quinoa Willd).. 2021. doi: 10.31220/agriRxiv.2021.00067

    Yaswant Kumar Pankaj, Rajeev Kumar, Lily Pal, Ragupati Nagarajan, Kulvinder S. Gill, Vishal Kumar, Sourav Panigrah. Performance and yield stability of doubled haploid population of wheat ( Triticum aestivum L.) under high temperature regime.. 2021. doi: 10.31220/agriRxiv.2021.00088

    Girma F. Dinsa, Mengistu Bogal. Potential yield and gap analysis (PYGA) of wheat in Ethiopia.. 2023. doi: 10.31220/agriRxiv.2023.00218

    R. Sendhil, A G Adeeth Cariappa, P. Ramasundaram, Vikas Gupta, Gopalareddy Krishnappa, O. P. Gupta, Anuj Kumar, S. V. Singh, Gurbachan Sing. Biofortification in wheat: research progress, potential impact, and policy imperatives.. 2022. doi: 10.31220/agriRxiv.2022.00140

    Cristina Caldelas, Fatima Zahra Rezzouk, Nieves Aparicio, José Luís Arau. Cultivar diversity in the mineral content of wheat grain under different nitrogen regimes.. 2022. doi: 10.31220/agriRxiv.2022.00123

    Erich,Seamon, Paul E.,Gessler, John T.,Abatzoglou, Philip W.,Mote, Stephen S.,Le. Climatic damage cause variations of agricultural insurance loss for the Pacific Northwest region of the United States.. 2023. doi: 10.31220/agriRxiv.2023.00209

    Alicia Lopez-Guerrero, Arantxa Cabello-Leblic, Ehsan Eyshi Rezaei, Domitille Vallée, Pasquale Steduto, Ihab Jomaa, Osama Owaneh, Itidel Alaya, Mahmoud Bsharat, Ayman Ibrahim, Kettani Abla, Alaa Mosad, Abdallah Alimari, Rim Zitouna-Chebbi, Jose A. Jimenez-Be. Developing a regional network for the assessment of evapotranspiration.. 2023. doi: 10.31220/agriRxiv.2023.00204

    Richa Rajput, A. Arunachala. Plant residue quality index and ecological potential approach for selective reincorporation of crop residues in soil.. 2022. doi: 10.31220/agriRxiv.2022.00122

    Muneta G. Manzeke‐Kangara, T. Amede, Elizabeth H. Bailey, Lolita Wilson, Abdul‐Wahab Mossa, Dereje Tirfessa, Mesfin K. Desta, Tadesse Gashaw, G. Agegnehu, Tesfaye Shiferaw Sida, G. Desta, Stephan M. Haefele, R. M. Lark, Martin R. Broadley, S. Gamed. Landscape and micronutrient fertilizer effect on agro-fortified wheat and teff grain nutrient concentration in Western Amhara.. 2023. doi: 10.31220/agriRxiv.2023.00176

  • ID Submit time Number Download
  • Public  Anonymous  To author only

Get Citation

Azam Lashkari, Jun-guo Li. Impact of climatic factors and poverty on wheat yields via machine learning in a semi-arid region across West Asia.. 2024. agriXiv.2024.00239

Article Metrics

  • Read: 49
  • Download: 0
  • Comment: 0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误