Journal of Integrative Agriculture ›› 2019, Vol. 18 ›› Issue (8): 1726-1736.DOI: 10.1016/S2095-3119(18)62099-4

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  • 收稿日期:2018-06-12 出版日期:2019-08-01 发布日期:2019-08-02

Yield gap and production constraints of mango (Mangifera indica) cropping systems in Tianyang County, China

ZHANG Dong1, 2*, WANG Chong1, 2*, LI Xiao-lin1, 2
  

  1. 1 College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, P.R.China
    2 Key Laboratory of Plant-Soil Interactions, Minstry of Education, Beijing 100193, P.R.China
  • Received:2018-06-12 Online:2019-08-01 Published:2019-08-02
  • Contact: Correspondence LI Xiao-lin, Tel/Fax: +86-10-62731325, E-mail: lixl@cau.edu.cn
  • About author:ZHANG Dong, E-mail: dongzhcau@126.com; WANG Chong, E-mail: wangchong@cau.edu.cn; * These authors contributed equally to this study.
  • Supported by:
    This work was funded by the National Key Research and Development Program of China (2016YFE0101100 and 2016YFD0201137) and the Innovative Group Grant of the National Science Foundation of China (31421092).

Abstract:

Mango is an important cash crop in the tropics and subtropics.  Determining the yield gap of mango and production constraints can potentially promote the sustainable development of the mango industry.  In this study, boundary line analysis based on survey data from 103 smallholder farmers and a yield gap model were used to determine the yield gap and production constraints in mango plantations in the northern mountain, central valley and southern mountains regions of Tianyang County, Guangxi, China.  The results indicated that the yield of mango in three representing regions of Tianyang County, Northern Mountains, Central Valley and Southern Mountains, was 18.3, 17.0 and 15.4 t ha–1 yr–1, with an explainable yield gap of 10.9, 6.1 and 14.8 t ha–1 yr–1, respectively.  Fertilization management, including fertilizer N, P2O5 and K2O application rates, and planting density were the main limiting factors of mango yield in all three regions.  In addition, tree age influenced mango yield in the Northern Mountains (11.1%) and Central Valley (11.7%) regions.  Irrigation time influenced mango yield in the Northern Mountains (9.9%) and Southern Mountains (12.2%).  Based on a scenario analysis, the predicted yield would increase by up to 50%, and fertilizer N use would be reduced by as much as approximately 20%.  An improved understanding of production constraints will aid in the development of management strategy measures to increase mango yield.

Key words: smallholder ,  boundary line analysis ,  yield gap model ,  fertilization ,  planting density