The role of complementarity and selection effects in P acquisition of intercropping systems
文献类型: 外文期刊
作者: Li, Xiao-Fei 1 ; Wang, Cheng-Bao 2 ; Zhang, Wei-Ping 1 ; Wang, Le-Hua 1 ; Tian, Xiu-Li 1 ; Yang, Si-Cun 2 ; Jiang, Wan 1 ;
作者机构: 1.China Agr Univ, Key Lab Plant Soil Interact, Beijing Key Lab Biodivers & Organ Farming, Coll Resources & Environm Sci,Minist Educ, Beijing 100193, Peoples R China
2.Gansu Acad Agr Sci, Inst Soils Fertilizers & Water Saving Agr, Lanzhou 730070, Gansu, Peoples R China
关键词: Crop diversity;Interspecific facilitation;Niche differentiation;Overyielding;Phosphorus
期刊名称:PLANT AND SOIL ( 影响因子:4.192; 五年影响因子:4.712 )
ISSN: 0032-079X
年卷期: 2018 年 422 卷 1-2 期
页码:
收录情况: SCI
摘要: Enhanced crop productivity by intercropping is commonly assumed to be driven by resource complementarity. However, relatively few studies have directly measured resource acquisition to assess potential mechanisms underlying enhanced performance of intercropping. A long-term field experiment with three P application rates (0, 40, 80 kg P ha(-1) yr.(-1)) and four maize-based intercropping systems was used to assess P acquisition and P fertilizer recovery efficiency (PRE) for three consecutive years. To identify underlying mechanisms, the additive partitioning method was applied to determine complementarity (CE) and selection effects (SE) in P acquisition of intercropping. Average P acquisition increased by 28.4% and 27.6% compared to their monocultures in faba bean/maize and chickpea/maize intercropping, respectively. However, P acquisition was generally not enhanced and even reduced in the last year in soybean/maize and oilseed rape/maize intercropping. Enhanced P acquisition was due to positive CE in faba bean/maize, and to positive CE and SE in chickpea/maize intercropping. Increased resource acquisition via CE and/or SE depended on the particular crop combination in intercropping systems. Application of the additive partitioning method to intercropping may help to identify underlying mechanisms of overyielding and carefully select crop combinations to enable more efficient resource use.
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