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黄淮海地区麦玉周年土壤肥力与玉米产量相关和通径分析
引用本文:李春喜,韩蕊,邵云,马建辉,冯荣成,李昊烊. 黄淮海地区麦玉周年土壤肥力与玉米产量相关和通径分析[J]. 玉米科学, 2019, 27(3): 127-133
作者姓名:李春喜  韩蕊  邵云  马建辉  冯荣成  李昊烊
作者单位:河南师范大学生命科学学院, 河南 新乡 453007,河南师范大学生命科学学院, 河南 新乡 453007,河南师范大学生命科学学院, 河南 新乡 453007,河南师范大学生命科学学院, 河南 新乡 453007,获嘉县农技推广中心, 河南 获嘉 453008,河南师范大学生命科学学院, 河南 新乡 453007
基金项目:“十三五”国家重点研发计划重点专项(2016YFD0300203-3,2017YFD0301101)
摘    要:运用相关分析和通径分析方法,研究麦玉两熟制农田土壤因子与玉米产量的关系,测定麦玉周年成熟期土壤养分、微生物量碳氮、酶活性和玉米产量等指标。结果表明,土壤有机质、全氮、全磷、速效钾、速效磷、土壤微生物量碳氮和脲酶活性均与玉米产量有极显著或显著相关关系。土壤有机质对玉米产量的直接作用最大(直接通径系数P_(1y)=0.422),其次是微生物量氮(P_(6y)=0.381)和全氮(P_(2y)=0.254),三者的通径系数均为正值,表明对提高玉米产量起到促进作用。从决策系数绝对值大小可以得出,土壤有机质、全氮和微生物量氮对玉米产量的综合排序为土壤有机质微生物量氮全氮,土壤有机质的决策系数最大且为正值,说明土壤有机质是影响麦玉两熟制农田玉米产量的主要决策指标。

关 键 词:玉米  土壤养分  土壤微生物量碳氮  土壤酶活  相关分析  通径分析
收稿时间:2018-03-14

Correlation and Path Analysis Between Soil Fertility and Maize Yield in Wheat-Maize Rotation System of Huang-Huai-Hai Region
LI Chun-xi,HAN-Rui,SHAO Yun,MA Jian-hui,FENG Rong-cheng and LI Hao-yang. Correlation and Path Analysis Between Soil Fertility and Maize Yield in Wheat-Maize Rotation System of Huang-Huai-Hai Region[J]. Journal of Maize Sciences, 2019, 27(3): 127-133
Authors:LI Chun-xi  HAN-Rui  SHAO Yun  MA Jian-hui  FENG Rong-cheng  LI Hao-yang
Affiliation:College of Life Sciences, Henan Normal University, Xinxiang 453007,College of Life Sciences, Henan Normal University, Xinxiang 453007,College of Life Sciences, Henan Normal University, Xinxiang 453007,College of Life Sciences, Henan Normal University, Xinxiang 453007,Agro-technique Popularization Station of Huojia County, Huojia 453008, China and College of Life Sciences, Henan Normal University, Xinxiang 453007
Abstract:Correlation and path coefficient analysis were conducted for exploring the relationship between soil fertility and yield of maize. The results showed that there was significant correlation between soil organic matter, total nitrogen, total phosphorus, available phosphorus, available phosphorus, microbial biomass nitrogen, microbial biomass carbon, urease and yield of maize. The highest positive direct impact on maize yield was attributed to soil organic matter(P1y=0.422), followed by the impact of soil microbial biomass nitrogen(P6y=0.381), and the least positive direct effect came from total nitrogen(P2y=0.254). Compared the absolute value of decision coefficient from path analysis, soil organic matter was the principal decision variable.
Keywords:Maize  Soil nutrient  Soil microbial biomass nitrogen and carbon  Enzyme activity  Correlation analysis  Path analysis
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