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Response of Grain Yield and Water Use Efficiency to Irrigation Regimes during Mid-Season indica Rice Genotype Improvement

Author

Listed:
  • Wenjiang Jing

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Hao Wu

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Hanzhu Gu

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Zhilin Xiao

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Weilu Wang

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Weiyang Zhang

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Junfei Gu

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Lijun Liu

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Zhiqin Wang

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Jianhua Zhang

    (State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Shatin 999077, China
    Department of Biology, Hong Kong Baptist University, Kowloon, Hong Kong 999077, China)

  • Jianchang Yang

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

  • Hao Zhang

    (Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China)

Abstract

Understanding the performance of rice ( Oryza sativa L.) agronomic traits and efficiency in water usage as well as grain yield under various irrigation regimes is crucial to achieving high resource use efficiency and high yield. In this study, 12 mid-season indica rice genotypes that have been grown in the lower reaches of the Yangtze River for the past 80 years were studied in a field experiment for two years under two irrigation regimes, i.e., conventional irrigation (CI) and alternate wetting and drying irrigation (AWD). The results showed that with genotype improvement in irrigation regimes, the total number of spikelets, shoot and root dry weight, root oxidation activity, total leaf area index (LAI), effective LAI, leaf photosynthetic rate, and abscisic acid contents and zeatin + zeatin riboside contents in root bleeding sap were significantly increased at main growth stages. AWD irrigation synchronously increased rice resource use efficiency (water use efficiency (WUE), radiation use efficiency (RUE), and temperature use efficiency (TUE)) and grain yield. Compared to CI, AWD more significantly enhanced the performances of rice genotypes in all studied traits. Based on our findings, a semi-dwarf hybrid rice genotype has great potential for high resource use efficiency and high yield under alternate wetting and drying irrigation, which was attributed to the improved agronomic characteristics and superior root traits.

Suggested Citation

  • Wenjiang Jing & Hao Wu & Hanzhu Gu & Zhilin Xiao & Weilu Wang & Weiyang Zhang & Junfei Gu & Lijun Liu & Zhiqin Wang & Jianhua Zhang & Jianchang Yang & Hao Zhang, 2022. "Response of Grain Yield and Water Use Efficiency to Irrigation Regimes during Mid-Season indica Rice Genotype Improvement," Agriculture, MDPI, vol. 12(10), pages 1-18, October.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1647-:d:936929
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    References listed on IDEAS

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    1. Bouman, B. A. M. & Tuong, T. P., 2001. "Field water management to save water and increase its productivity in irrigated lowland rice," Agricultural Water Management, Elsevier, vol. 49(1), pages 11-30, July.
    2. Li, Sen & Zuo, Qiang & Jin, Xinxin & Ma, Wenwen & Shi, Jianchu & Ben-Gal, Alon, 2018. "The physiological processes and mechanisms for superior water productivity of a popular ground cover rice production system," Agricultural Water Management, Elsevier, vol. 201(C), pages 11-20.
    3. Youyong Zhu & Hairu Chen & Jinghua Fan & Yunyue Wang & Yan Li & Jianbing Chen & JinXiang Fan & Shisheng Yang & Lingping Hu & Hei Leung & Tom W. Mew & Paul S. Teng & Zonghua Wang & Christopher C. Mundt, 2000. "Genetic diversity and disease control in rice," Nature, Nature, vol. 406(6797), pages 718-722, August.
    4. Olalekan Suleiman, Sakariyawo & Gajere Habila, Danbauchi & Mamadou, Fofana & Mutiu Abolanle, Busari & Nurudeen Olatunbosun, Adeyemi, 2022. "Grain yield and leaf gas exchange in upland NERICA rice under repeated cycles of water deficit at reproductive growth stage," Agricultural Water Management, Elsevier, vol. 264(C).
    5. Ishfaq, Muhammad & Farooq, Muhammad & Zulfiqar, Usman & Hussain, Saddam & Akbar, Nadeem & Nawaz, Ahmad & Anjum, Shakeel Ahmad, 2020. "Alternate wetting and drying: A water-saving and ecofriendly rice production system," Agricultural Water Management, Elsevier, vol. 241(C).
    6. Mushtaq, Shahbaz & Dawe, David & Lin, Hong & Moya, Piedad, 2006. "An assessment of the role of ponds in the adoption of water-saving irrigation practices in the Zhanghe Irrigation System, China," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 100-110, May.
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