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土壤因子与小粒咖啡品质产量形成关系研究
引用本文:赵明珠,郭铁英,马关润,萧自位,白学慧,周华,苏琳琳.土壤因子与小粒咖啡品质产量形成关系研究[J].热带作物学报,2020,41(6):1065-1075.
作者姓名:赵明珠  郭铁英  马关润  萧自位  白学慧  周华  苏琳琳
作者单位:云南省德宏热带农业科学研究所,云南瑞丽 678600
基金项目:国家重点研发计划资助项目(2018YFD0201100);云南省科技社会发展科技计划项目(2015DC004)
摘    要:土壤因子是影响小粒咖啡品质产量的主要因子。本研究通过对土壤因子进行相关性分析、改进的灰色关联分析、通径分析及多元线性回归分析,明确影响小粒咖啡品质和产量的主要因子,以指导科学施肥。结果表明:小粒咖啡咖啡因含量的土壤决定因子为海拔(-0.296*),总糖含量的土壤决定因子为有机质(0.607**)和速效磷(-0.232*),蛋白质的土壤决定因子为pH(-0.387**)和有机质(0.227*),灰分含量的土壤决定因子为速效磷(0.334**),水溶性浸出物含量的土壤决定因子为海拔(-0.494**),脂肪含量的土壤决定因子为碱解氮(-0.461**),产量的土壤决定因子为速效钾(0.339**)和有机质(0.248*)。研究结果可为小粒咖啡优质高产的土壤条件筛选和肥料的减施增效提供一定的理论基础,以期增强优质咖啡种质的适宜性和目的性。

关 键 词:土壤因子  小粒咖啡  相关分析  改进的灰色关联分析  通径分析  回归分析  品质  产量  
收稿时间:2019-05-23

Relationship Between Soil Factors,Quality and Yield Formation in Coffea arabica
ZHAO Mingzhu,GUO Tieying,MA Guanrun,XIAO Ziwei,BAI Xuehui,ZHOU Hua,SU Linlin.Relationship Between Soil Factors,Quality and Yield Formation in Coffea arabica[J].Chinese Journal of Tropical Crops,2020,41(6):1065-1075.
Authors:ZHAO Mingzhu  GUO Tieying  MA Guanrun  XIAO Ziwei  BAI Xuehui  ZHOU Hua  SU Linlin
Institution:Dehong Tropical Agriculture Research Institute of Yunnan, Ruili, Yunnan 678600, China
Abstract:Soil factors play important roles in affecting the quality and yield of Coffea arabica. The purpose of the study was to provide an academic evidence for guiding the scientific fertilization, good quality and high yield, and identifying the primary indexes of quality, yield by investigation the variation of soil factors of C. arabica. The correlation, improved grey relational analysis, path analysis, and multiple linear regression analysis were conducted to identify the primary indexes of C. arabica quality and yield. The results showed that altitude was a key soil determinant of caffeine in C. arabica (-0.296 *), the prime determinant factors of total sugar content were soil organic matter (OM) (0.607**) and available phosphorus (AP) (0.232*), that for crude protein content were soil pH (-0.387**) and OM (0.227*), that for crude ash content was AP (0.334**), that for water-soluble extracts content was altitude (-0.494**), that for fat content was alkalystic nitrogen (AN) (-0.461**), and that for the yield of C. arabica were available potassium (AK) (0.339**) and OM (0.248*). The results would be useful to guiding the screening of soil conditions, reducing the amounts of fertilizer and increasing the fertilizer-use efficiency in order to enhance the suitability and purpose of the excellent germplasm in C. arabica.
Keywords:soil factors  Coffea arabica  correlation analysis  improved grey relational analysis  path analysis  regression analysis  quality  yield  
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