石 鹏, 冯美利, 雷新涛, 曹红星.油棕果穗产量性状主成分及通径分析[J].广东农业科学,2015,42(17):18-25 |
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油棕果穗产量性状主成分及通径分析 |
Path and principal component analysis ofyield traits in oil palm fruit bunch |
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DOI: |
中文关键词: 油棕 产量 相关性分析 主成分分析 通径分析 |
英文关键词: oil palm yield correlation analysis principal component analysis path analysis |
基金项目:海南省应用技术研发与示范推广专项应用
研究及产业化项目(ZDXM2014056) |
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中文摘要: |
用相关分析、 主成分分析和通径分析法对油棕 47 个农艺性状间的相互影响和主次关系进行分
析。 结果表明: (1)果穗产量与果实重量及数量间表现为极显著正相关, 果实和种子大小性状间呈显著正相
关, 而果实品质性状与含水量间表现出显著负相关关系。 (2)主成分分析发现, 主要农艺性状分为种子性状
因子、 产量性状因子、 种仁性状因子和果实品质性状因子 4 个主成分, 累计贡献率达 86.41%。 (3)通径分析
发现, 各性状对果穗产量的直接贡献大小顺序为外层果实重量 > 每果穗果实重量 > 每果穗果实数量 > 外层果
实单果粒重量 > 外层果实数量。 综合分析可知, 油棕育种应选择适当果实重量和果实数量, 适宜的果实和种子
大小, 果实品质性状和含水量相协调的大果多粒品种。 |
英文摘要: |
The relationship among 47 agronomic traits of oil palm was analyzed by using the correlation analysis,
principal component analysis and path analysis. The results showed that: (1)fruit bunch had extremely significantly
positive correlation with fruit weight and number, significantly positive correlation between fruit and seed characters
was found, however the significantly negative correlation between fruit quality traits and water content was found.
(2)Principal component analysis showed that primary agronomic traits could be divided into four principal
components, including seed traits, yield traits, kernel traits and fruit quality traits factor, the cumulative contribution
rate was 86.41%.(3)Path analysis found that the order of direct contribution for fruit bunch yield wase as
follows: outer fruit weight > weight of fruit per fruit bunch > number of fruit per fruit bunch > weight of per outer fruit >
number of outer fruit. Comprehensive analysis showed that oil palm breeding should choose varieties with large fruit and
multiple fruit, such as proper fruit weight, fruit number, fruit and seed size, fruit quality traits. |
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