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Estimating wheat partitioning coefficient using remote sensing and its coupling with a crop growth model
Field Crops Research ( IF 5.6 ) Pub Date : 2024-11-01 , DOI: 10.1016/j.fcr.2024.109620 Yining Tang, Yuanyuan Pan, Yuejiao Zhao, Xin Li, Jiaoyang He, Caili Guo, Hengbiao Zheng, Xia Yao, Tao Cheng, Yan Zhu, Weixing Cao, Yongchao Tian
Field Crops Research ( IF 5.6 ) Pub Date : 2024-11-01 , DOI: 10.1016/j.fcr.2024.109620 Yining Tang, Yuanyuan Pan, Yuejiao Zhao, Xin Li, Jiaoyang He, Caili Guo, Hengbiao Zheng, Xia Yao, Tao Cheng, Yan Zhu, Weixing Cao, Yongchao Tian
Accurately estimating the partitioning of daily photosynthetic assimilates among different plant organs is crucial for understanding crop growth and yield formation. However, challenges in field measurements, especially in assessing belowground biomass, hinder precise evaluation of the partitioning process.
中文翻译:
遥感估计小麦分配系数及其与作物生长模型的耦合
准确估计不同植物器官之间每日光合同化物的分配对于了解作物生长和产量形成至关重要。然而,现场测量的挑战,特别是在评估地下生物量方面的挑战,阻碍了对分区过程的精确评估。
更新日期:2024-11-01
中文翻译:
遥感估计小麦分配系数及其与作物生长模型的耦合
准确估计不同植物器官之间每日光合同化物的分配对于了解作物生长和产量形成至关重要。然而,现场测量的挑战,特别是在评估地下生物量方面的挑战,阻碍了对分区过程的精确评估。