机构地区:[1]北京市农林科学院林业果树研究所,农业部华北地区园艺作物生物学与种质创制重点实验室,北京100093
出 处:《Agricultural Science & Technology》2016年第2期362-366,384,共6页农业科学与技术(英文版)
基 金:Supported by the Natural Science Foundation of Beijing(6132013);the Science and Technology Innovation Ability Construction Projects of Beijing Academy of Agriculture and Forestry Science(KJCX20140406)~~
摘 要:[Objective] The objective of the study was to elucidate the duplicate collinearity diagnosis method for soil nutrient and provide basis for establishment of multiple regression model of relationship between independent variable and depen- dent variable in fruit trees. [Method] An investigation on soil nutrients and 'Fuji' fruit quality was conducted at 153 commercial apple orchards in the production re- gions of 51 counties in China from 2011 to 2012. At first, the regression equation was used to do the duplicate collinearity diagnosis, and then the partial least squares regression was used to analyze the weights of different soil nutrients that affected the fruit quality and screen out main soil nutrients. [Result] The results showed the conditional number between soil nutrients was 61.31, and the correlation coefficient of soil pH and available calcium, iron was 0.82 and -0.824 respectively, which demonstrated that there was multicollinearity between various soil nutrient contents. The soil organic matter, total nitrogen, available potassium, available nitro- gen, available phosphorus, available zinc, available iron and available boron showed positive effect Ioadings on fruit quality, while the }oadings and weights of the effects of available calcium and pH on fruit quality were negative. The variable importance for projection method was adopted to get the orders of the effects of major soil nu- trients on fruit quality, which was in the order of soil available calcium, nitrogen, available iron, available phosphorous, organic matter and available boron. The solu- ble solid content of the fruit was affected by soil organic matter, available phospho- rus, available iron, available boron and soil pH. [Conclusion] This study provided an analysis method and theoretical basis for the study and analysis on the relationships between dependent variables and multi-objective optimization, as well as the effects of soil nutrients on fruit quality in fruit tree.[目的]阐明土壤养分的多重复共线性诊断方法,为果树的多自变量和多因变量间关系的回归模型建立提供依据。[方法]2010-2011年对我国苹果产区51个县153个乔砧'富士'苹果园的土壤养分和果实品质调查分析,首先应用回归过程对土壤养分进行复共性诊断,然后用偏最小二乘回归方法分析影响果实品质因素的不同土壤养分权重和筛选主要土壤养分因子。[结果]土壤养分含量间的条件数为61.31,并且土壤p H与有效钙和铁的相关系数分别为0.82和-0.824,不同养分含量间存在复共线性;土壤有机质、全氮、有效氮、有效磷、有效钾、有效铁、有效锌和有效硼对果实品质有正的效应载荷和权重,而有效钙和p H对果实品质影响有负的载荷和权重;采用变量投影重要性方法获得了影响不同果实品质因素的主要土壤养分因子的大小顺序,影响果实质量的土壤养分大小顺序为土壤有效钙、氮、有效铁、有效磷、有机质和有效硼,果实可溶性固形物含量主要受土壤有效硼、有机质、有效铁、p H和有效磷影响。[结论]该研究为果树多自变量、多目标关系研究和土壤养分对果实品质影响的分析等提供分析方法和理论依据。
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...