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A global meta-analysis of fruit tree yield and water use efficiency under deficit irrigation

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  • Tong, Xuanyue
  • Wu, Pute
  • Liu, Xufei
  • Zhang, Lin
  • Zhou, Wei
  • Wang, Zhaoguo

Abstract

Economical fruit trees are a kind of forest with great economic and ecological benefits, which has become an important cash source of many rural household incomes. However, the shortage of water resources has limited their development. Deficit irrigation (DI) is a novel water-saving irrigation method, but there is a risk of yield reduction in practice. Therefore, a meta-analysis was conducted to quantitatively analyze the impact of DI on fruit yield and water use efficiency (WUE) to explore the most suitable DI strategy for fruit trees. Overall, compared to full irrigation, DI decreased the fruit yield by 6.05% and increased WUE by 5.05%. However, the effectiveness of DI depended on DI factors, fruit tree varieties and environmental factors. In order to achieve a win-win goal of water-saving and yield increasing, a Win-Win analysis was conducted on collected data. It was found that DI was suitable for drought-tolerant tree varieties in the arid region with medium-textured and large bulk density soil. Adopting subsurface irrigation methods for low or moderate deficit (Irrigation limit ＞55%θf) before the fruit growth stage (i.e., bud burst to leafing stage and flowering to fruit set stage) was recommended. Our findings can provide implications for applying DI to fruit trees.

Suggested Citation

  • Tong, Xuanyue & Wu, Pute & Liu, Xufei & Zhang, Lin & Zhou, Wei & Wang, Zhaoguo, 2022. "A global meta-analysis of fruit tree yield and water use efficiency under deficit irrigation," Agricultural Water Management, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:agiwat:v:260:y:2022:i:c:s0378377421005989
    DOI: 10.1016/j.agwat.2021.107321
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    6. Li, Maona & Zhang, Yunlong & Ma, Chizhen & Sun, Hongren & Ren, Wei & Wang, Xianguo, 2023. "Maximizing the water productivity and economic returns of alfalfa by deficit irrigation in China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 287(C).

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