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

作     者：ZHANG Dong WANG Chong LI Xiao-lin 

作者机构：College of Resources and Environmental Sciences China Agricultural University Beijing 100193 P.R.China Key Laboratory of Plant-Soil Interactions Minstry of Education Beijing 100193 P.R.China 

出 版 物：《Journal of Integrative Agriculture》 (农业科学学报（英文版）)

年 卷 期：2019年第18卷第8期

页      面：1726-1736页

核心收录：

学科分类：0710[理学-生物学] 0832[工学-食品科学与工程（可授工学、农学学位）] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0905[农学-畜牧学] 09[农学] 0906[农学-兽医学] 0901[农学-作物学] 0703[理学-化学] 0902[农学-园艺学] 0713[理学-生态学] 

基　　金：funded by the National Key Research and Development Program of China (2016YFE0101100 and 2016YFD0201137) the Innovative Group Grant of the National Science Foundation of China (31421092) 

主　　题：smallholder boundary line analysis yield gap model fertilization planting density 

摘      要：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.