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Assessment of crop growth and water productivity for five C3 species in semi-arid Inner Mongolia

Author

Listed:
  • Yuan, M.
  • Zhang, L.
  • Gou, F.
  • Su, Z.
  • Spiertz, J.H.J.
  • van der Werf, W.

Abstract

Water availability is a key biophysical factor determining agricultural production potential. The FAO crop water response model AquaCrop was developed to estimate crop production under water limiting conditions. This model uses the normalized water productivity, WP* (gm−2d−1), to estimate the attainable rate of crop growth under water limitation. In this study we assessed the value and the consistency of WP* under the semi-arid growing conditions of Inner Mongolia. Field experiments on productivity and water use of oats (Avena sativa), sunflower (Helianthus annuus), vetch (Vicia sativa), faba bean (Vicia faba) and potato (Solanum tuberosum) were conducted in 2009, 2010 and 2011. Yield, biomass, evaporation and transpiration varied substantially and significantly between crop species and years. Likewise, water use efficiency (WUE) was affected by these factors, including a significant interaction. WUE (units of yield/unit water) varied between years: from 1.1 to 1.3kgm−3 in oats, from 1.5 to 2.6kgm−3 in sunflower, from 0.5 to 1.1kgm−3 in the two legumes and from 3.1 to 4.4kgm−3 in potato (DM yields). Normalized water productivity did not vary significantly between crop species and years or their interaction, showing an overall value of 14.0±0.32gm−2d−1 in an overarching regression pooling all the data. We conclude that WP* differs from the conventional parameter for water productivity, but is a useful parameter for assessing attainable rate of crop growth and yield in the agro-pastoral ecotone of Inner Mongolia.

Suggested Citation

  • Yuan, M. & Zhang, L. & Gou, F. & Su, Z. & Spiertz, J.H.J. & van der Werf, W., 2013. "Assessment of crop growth and water productivity for five C3 species in semi-arid Inner Mongolia," Agricultural Water Management, Elsevier, vol. 122(C), pages 28-38.
    • Handle: RePEc:eee:agiwat:v:122:y:2013:i:c:p:28-38
    DOI: 10.1016/j.agwat.2013.02.006
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    3. Ahmadzadeh Araji, Hamidreza & Wayayok, Aimrun & Massah Bavani, Alireza & Amiri, Ebrahim & Abdullah, Ahmad Fikri & Daneshian, Jahanfar & Teh, C.B.S., 2018. "Impacts of climate change on soybean production under different treatments of field experiments considering the uncertainty of general circulation models," Agricultural Water Management, Elsevier, vol. 205(C), pages 63-71.
    4. Li, S.X. & Wang, Z.H. & Li, S.Q. & Gao, Y.J., 2015. "Effect of nitrogen fertilization under plastic mulched and non-plastic mulched conditions on water use by maize plants in dryland areas of China," Agricultural Water Management, Elsevier, vol. 162(C), pages 15-32.
    5. Dhouib, M. & Zitouna-Chebbi, R. & Prévot, L. & Molénat, J. & Mekki, I. & Jacob, F., 2022. "Multicriteria evaluation of the AquaCrop crop model in a hilly rainfed Mediterranean agrosystem," Agricultural Water Management, Elsevier, vol. 273(C).
    6. Chen, Xin & Jiang, Li & Zhang, Guoliang & Meng, Lijun & Pan, Zhihua & Lun, Fei & An, Pingli, 2021. "Green-depressing cropping system: A referential land use practice for fallow to ensure a harmonious human-land relationship in the farming-pastoral ecotone of northern China," Land Use Policy, Elsevier, vol. 100(C).
    7. Nyathi, M.K. & van Halsema, G.E. & Annandale, J.G. & Struik, P.C., 2018. "Calibration and validation of the AquaCrop model for repeatedly harvested leafy vegetables grown under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 208(C), pages 107-119.

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