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Optimizing Grain Yield and Water Use Efficiency Based on the Relationship between Leaf Area Index and Evapotranspiration

Author

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  • Guoqiang Zhang

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Bo Ming

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Dongping Shen

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Ruizhi Xie

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Peng Hou

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Jun Xue

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Keru Wang

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Shaokun Li

    (Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

Achieving optimal balance between maize yield and water use efficiency is an important challenge for irrigation maize production in arid areas. In this study, we conducted an experiment in Xinjiang China in 2016 and 2017 to quantify the response of maize yield and water use to plant density and irrigation schedules. The treatments included four irrigation levels: 360 (W1), 480 (W2), 600 (W3), and 720 mm (W4), and five plant densities: 7.5 (D1), 9.0 (D2), 10.5 (D3), 12.0 (D4), and 13.5 plants m −2 (D5). The results showed that increasing the plant density and the irrigation level could both significantly increase the leaf area index (LAI). However, LAI expansion significantly increased evapotranspiration (ET a ) under irrigation. The combination of irrigation level 600 mm (W3) and plant density 12.0 plants m −2 (D4) produced the highest maize yield (21.0–21.2 t ha −1 ), ET a (784.1–797.8 mm), and water use efficiency (WUE) (2.64–2.70 kg m −3 ), with an LAI of 8.5–8.7 at the silking stage. The relationship between LAI and grain yield and evapotranspiration were quantified, and, based on this, the relationship between water use and maize productivity was analyzed. Moreover, the optimal LAI was established to determine the reasonable irrigation level and coordinate the relationship between the increase in grain yield and the decrease in water use efficiency.

Suggested Citation

  • Guoqiang Zhang & Bo Ming & Dongping Shen & Ruizhi Xie & Peng Hou & Jun Xue & Keru Wang & Shaokun Li, 2021. "Optimizing Grain Yield and Water Use Efficiency Based on the Relationship between Leaf Area Index and Evapotranspiration," Agriculture, MDPI, vol. 11(4), pages 1-14, April.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:4:p:313-:d:529725
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    References listed on IDEAS

    as
    1. Versteeg, M. N. & van Keulen, H., 1986. "Potential crop production prediction by some simple calculation methods, as compared with computer simulations," Agricultural Systems, Elsevier, vol. 19(4), pages 249-272.
    2. Stepanovic, Strahinja & Rudnick, Daran & Kruger, Greg, 2021. "Impact of maize hybrid selection on water productivity under deficit irrigation in semiarid western Nebraska," Agricultural Water Management, Elsevier, vol. 244(C).
    3. Ertek, A. & Yilmaz, H., 2014. "The agricultural perspective on water conservation in Turkey," Agricultural Water Management, Elsevier, vol. 143(C), pages 151-158.
    4. Jia, Qianmin & Sun, Lefeng & Ali, Shahzad & Zhang, Yan & Liu, Donghua & Kamran, Muhammad & Zhang, Peng & Jia, Zhikuan & Ren, Xiaolong, 2018. "Effect of planting density and pattern on maize yield and rainwater use efficiency in the Loess Plateau in China," Agricultural Water Management, Elsevier, vol. 202(C), pages 19-32.
    5. Deng, Xi-Ping & Shan, Lun & Zhang, Heping & Turner, Neil C., 2006. "Improving agricultural water use efficiency in arid and semiarid areas of China," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 23-40, February.
    6. Ren, Xinmao & Sun, Dongbao & Wang, Qingsuo, 2016. "Modeling the effects of plant density on maize productivity and water balance in the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 171(C), pages 40-48.
    7. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Zhuang, Qianlai, 2021. "Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng, 2016. "Can the drip irrigation under film mulch reduce crop evapotranspiration and save water under the sufficient irrigation condition?," Agricultural Water Management, Elsevier, vol. 177(C), pages 128-137.
    9. Payero, José O. & Tarkalson, David D. & Irmak, Suat & Davison, Don & Petersen, James L., 2008. "Effect of irrigation amounts applied with subsurface drip irrigation on corn evapotranspiration, yield, water use efficiency, and dry matter production in a semiarid climate," Agricultural Water Management, Elsevier, vol. 95(8), pages 895-908, August.
    10. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    11. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    12. Jiang, Xuelian & Kang, Shaozhong & Tong, Ling & Li, Fusheng & Li, Donghao & Ding, Risheng & Qiu, Rangjian, 2014. "Crop coefficient and evapotranspiration of grain maize modified by planting density in an arid region of northwest China," Agricultural Water Management, Elsevier, vol. 142(C), pages 135-143.
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    5. Guoqiang Zhang & Dongping Shen & Bo Ming & Ruizhi Xie & Peng Hou & Jun Xue & Keru Wang & Shaokun Li, 2022. "Optimizing Planting Density to Increase Maize Yield and Water Use Efficiency and Economic Return in the Arid Region of Northwest China," Agriculture, MDPI, vol. 12(9), pages 1-12, August.

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