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Evaluation and application of the OILCROP-SUN model for sunflower in southern Italy

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  • Rinaldi, Michele
  • Losavio, Nicola
  • Flagella, Zina

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  • Rinaldi, Michele & Losavio, Nicola & Flagella, Zina, 2003. "Evaluation and application of the OILCROP-SUN model for sunflower in southern Italy," Agricultural Systems, Elsevier, vol. 78(1), pages 17-30, October.
  • Handle: RePEc:eee:agisys:v:78:y:2003:i:1:p:17-30
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    References listed on IDEAS

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    1. Alagarswamy, G. & Singh, P. & Hoogenboom, G. & Wani, S. P. & Pathak, P. & Virmani, S. M., 2000. "Evaluation and application of the CROPGRO-Soybean simulation model in a Vertic Inceptisol," Agricultural Systems, Elsevier, vol. 63(1), pages 19-32, January.
    2. Rinaldi, Michele, 2001. "Application of EPIC model for irrigation scheduling of sunflower in Southern Italy," Agricultural Water Management, Elsevier, vol. 49(3), pages 185-196, August.
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    Cited by:

    1. Malik, Wafa & Dechmi, Farida, 2019. "DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 216(C), pages 27-43.
    2. Zhao, Wenqing & Meng, Yali & Li, Wenfeng & Chen, Binglin & Xu, Naiyin & Wang, Youhua & Zhou, Zhiguo & Oosterhuis, Derrick M., 2012. "A model for cotton (Gossypium hirsutum L.) fiber length and strength formation considering temperature-radiation and N nutrient effects," Ecological Modelling, Elsevier, vol. 243(C), pages 112-122.
    3. Zhang, Jing & Zhang, Huihui & Sima, Matthew W. & Trout, Thomas J. & Malone, Rob W. & Wang, Li, 2021. "Simulated deficit irrigation and climate change effects on sunflower production in Eastern Colorado with CSM-CROPGRO-Sunflower in RZWQM2," Agricultural Water Management, Elsevier, vol. 246(C).
    4. Mompremier, R. & Her, Y. & Hoogenboom, G. & Migliaccio, K. & Muñoz-Carpena, R. & Brym, Z. & Colbert, R.W. & Jeune, W., 2021. "Modeling the response of dry bean yield to irrigation water availability controlled by watershed hydrology," Agricultural Water Management, Elsevier, vol. 243(C).
    5. Che-Chen Xu & Wen-Xiang Wu & Quan-Sheng Ge & Yang Zhou & Yu-Mei Lin & Ya-Mei Li, 2017. "Simulating climate change impacts and potential adaptations on rice yields in the Sichuan Basin, China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(4), pages 565-594, April.
    6. Gheisari, Aboalghasem & Asgharipour, Mohammad Reza & Mousavi-Nik, Mohsen & Ghanbari, Ahmad & Javaheri, Mohammad Ali, 2023. "Utilization of the DNDC model to estimate yield and CO2 and CH4 emissions in a cotton-wheat rotation under the influence of various tillage treatments," Ecological Modelling, Elsevier, vol. 481(C).
    7. J. García-López & Ignacio Lorite & R. García-Ruiz & J. Domínguez, 2014. "Evaluation of three simulation approaches for assessing yield of rainfed sunflower in a Mediterranean environment for climate change impact modelling," Climatic Change, Springer, vol. 124(1), pages 147-162, May.

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