基于主成分分析的葡萄中短剪结实性状分析  

Evaluating Characteristics of Grapes Fruiting Based on Principal Component Analysis

作　　者：史洪琴[1] 蒋丽光 

机构地区：[1]遵义师范学院,贵州遵义563002 [2]贵州省遵义市红花岗区农牧局果蔬工作站,贵州遵义563000

出　　处：《湖北农业科学》2014年第22期5431-5433,共3页Hubei Agricultural Sciences

基　　金：贵州省农业厅农业标准园建设项目[黔农发(2010)244号]

摘　　要：采用SPSS 19.0软件,对11种葡萄（Vitis L.）品种冬季中短剪（剪留4-8芽为主,剪留1-3芽为辅）后主要结实性状指标（结果枝总数、新梢结果枝率、果穗数、果穗重、结果母枝直径）进行主成分分析,通过降维处理,用3个新的主成分代表原有的5个指标,且反映出了93.817%以上的原始指标信息。实践证明,分析结果与生产实际表现类似,体现出主成分分析法对葡萄中短剪后结实性状的分析科学、简便;建议综合主成分值在-0.97以下的葡萄品种不宜采用中短剪修剪方式,而综合主成分值在0.02以上的均可采用中短剪修剪方式。Based on SPSS 19.0, the main fruiting characteristics including total bearing branches, proportion of fruiting branch, the number of clusters, the cluster weight, cane diameter of 11 grape（Vitis L.） varieties with moderate pruning and short pruning were determined by pincipal component analysis. 3 main composition were extracted by principal component analysis, with accumulative variance contribution of 93.817%. The method of principal component analysis was more scientific and simple. Comprehensive principal components values below-0.97 species should not be used in the moderate and short pruning. Comprehensive component valves above 0.02 may be used in the moderate and short pruning. The results were similar to practical phenotype.

关 键 词：葡萄(Vitis L.) 修剪 结实性状 主成分分析 

分 类 号：S663.1[农业科学—果树学] S605.1[农业科学—园艺学]