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Incorporating root distribution factor to evaluate soil water status for winter wheat

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  • Zhang, Xiaoyu
  • Zhang, Xiying
  • Liu, Xiuwei
  • Shao, Liwei
  • Sun, Hongyong
  • Chen, Suying

Abstract

Many indicators have been developed to determine when and how much to irrigate to improve the irrigation efficiency. The relative available soil water (RASW) is an indicator that can be easily calculated but takes the availability of soil water to crops equally throughout the root zone profile without considering the soil water uptake ability as related to the root distribution. This study introduced a root parameter related to the relative root length abundance at different soil depth into RASW to evaluate the soil moisture conditions on crop performance (simplified as RASWr). The field study was carried out in the North China Plain (NCP) from 2010 to 2014 for four growing seasons of winter wheat (Triticum aestivum L.) under six irrigation treatments to create different soil moisture conditions. The results showed that RASWr was more closely related than RASW to the leaf water potential and stomatal conductance, and it was less affected by daily weather fluctuations as compared to crop water stress index (CWSI). Compared to the fraction of transpirable soil water (FTSW), RASWr was more easily obtained. The simple RASW indicator was improved by incorporating the relative root abundance factor which can be simulated by a form parameter of root distribution and maximum rooting depth at different growth stages of the crop.

Suggested Citation

  • Zhang, Xiaoyu & Zhang, Xiying & Liu, Xiuwei & Shao, Liwei & Sun, Hongyong & Chen, Suying, 2015. "Incorporating root distribution factor to evaluate soil water status for winter wheat," Agricultural Water Management, Elsevier, vol. 153(C), pages 32-41.
  • Handle: RePEc:eee:agiwat:v:153:y:2015:i:c:p:32-41
    DOI: 10.1016/j.agwat.2015.02.001
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    References listed on IDEAS

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    1. Passioura, John, 2006. "Increasing crop productivity when water is scarce--from breeding to field management," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 176-196, February.
    2. Gontia, N.K. & Tiwari, K.N., 2008. "Development of crop water stress index of wheat crop for scheduling irrigation using infrared thermometry," Agricultural Water Management, Elsevier, vol. 95(10), pages 1144-1152, October.
    3. Panda, R. K. & Behera, S. K. & Kashyap, P. S., 2003. "Effective management of irrigation water for wheat under stressed conditions," Agricultural Water Management, Elsevier, vol. 63(1), pages 37-56, November.
    4. Bellot, Juan & Chirino, Esteban, 2013. "Hydrobal: An eco-hydrological modelling approach for assessing water balances in different vegetation types in semi-arid areas," Ecological Modelling, Elsevier, vol. 266(C), pages 30-41.
    5. Chen, Jiazhou & Lin, Lirong & Lü, Guoan, 2010. "An index of soil drought intensity and degree: An application on corn and a comparison with CWSI," Agricultural Water Management, Elsevier, vol. 97(6), pages 865-871, June.
    6. Yuan, Guofu & Luo, Yi & Sun, Xiaomin & Tang, Dengyin, 2004. "Evaluation of a crop water stress index for detecting water stress in winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 64(1), pages 29-40, January.
    7. Candogan, Burak Nazmi & Sincik, Mehmet & Buyukcangaz, Hakan & Demirtas, Cigdem & Goksoy, Abdurrahim Tanju & Yazgan, Senih, 2013. "Yield, quality and crop water stress index relationships for deficit-irrigated soybean [Glycine max (L.) Merr.] in sub-humid climatic conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 113-121.
    8. Li, Jiamin & Inanaga, Shinobu & Li, Zhaohu & Eneji, A. Egrinya, 2005. "Optimizing irrigation scheduling for winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 76(1), pages 8-23, July.
    9. Sun, Hong-Yong & Liu, Chang-Ming & Zhang, Xi-Ying & Shen, Yan-Jun & Zhang, Yong-Qiang, 2006. "Effects of irrigation on water balance, yield and WUE of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 211-218, September.
    10. O'Shaughnessy, Susan A. & Evett, Steven R. & Colaizzi, Paul D. & Howell, Terry A., 2012. "A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum," Agricultural Water Management, Elsevier, vol. 107(C), pages 122-132.
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    7. Li, Jinpeng & Zhang, Zhen & Liu, Yang & Yao, Chunsheng & Song, Wenyue & Xu, Xuexin & Zhang, Meng & Zhou, Xiaonan & Gao, Yanmei & Wang, Zhimin & Sun, Zhencai & Zhang, Yinghua, 2019. "Effects of micro-sprinkling with different irrigation amount on grain yield and water use efficiency of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    8. Chunlei Wang & Liping Feng & Lu Wu & Chen Cheng & Yizhuo Li & Jintao Yan & Jiachen Gao & Fu Chen, 2020. "Assessment of Genotypes and Management Strategies to Improve Resilience of Winter Wheat Production," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    9. Li, Jinpeng & Wang, Yunqi & Zhang, Meng & Liu, Yang & Xu, Xuexin & Lin, Gang & Wang, Zhimin & Yang, Youming & Zhang, Yinghua, 2019. "Optimized micro-sprinkling irrigation scheduling improves grain yield by increasing the uptake and utilization of water and nitrogen during grain filling in winter wheat," Agricultural Water Management, Elsevier, vol. 211(C), pages 59-69.

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