主成分分析及灰色关联度分析综合评价棉花产量与品质

Comprehensive evaluation of cotton yield and quality byprincipal component analysis and grey correlation analysis

【目的】筛选出适宜兵团第七师棉区种植的优质高产棉材料,为品种推广和相应配套栽培技术提供理论依据。【方法】选取19份棉花品种(系)为研究对象,采用DPS软件分析14个农艺性状、产量及品质性状进行变异、相关性、主成分和灰色关联度。【结果】19份棉花品种(系)的性状变异系数在0.92%~15.08%,其中,株高变异系数最大,为15.08%;株高与果枝数、始果节高、籽棉产量、伸长率呈显著或极显著相关关系,籽棉产量与始果节高、单株结铃数、单铃重、短纤维指数呈显著或极显著相关关系,纤维长度与单铃重、马克隆值、断裂比强度呈显著或极显著相关关系,整齐度指数与断裂比强度、伸长率、短纤维指数呈显著或极显著相关关系。前6个主成分的累计贡献率达到86.289 4%,可反映所有性状的绝大部分信息,排名靠前的4位依次是K07-12、中棉所92、Z1112和中棉所113。灰色关联度分析结果表明,加权关联度较大的材料有K07-12、Z1112、中棉所92和中棉所113,加权关联度越大越接近理想品种,因此K07-12、Z1112、中棉所92和中棉所113表现较好。【结论】主成分分析法与灰色关联度法的分析结果基本一致,K07-12、中棉所92、Z1112和中棉所113为第七师棉区种植优质高产棉花品种。

【Objective】This project aims to screen out cotton materials of high-quality and high-yield suitable for planting in the 7th Agricultural Division cotton area,and provide theoretical basis for variety promotion and corresponding supporting cultivation techniques in the future stage.【Methods】19 cotton varieties were taken as the research objects to analyze the variation,correlation,principal component and grey correlations of their 14 agronomic characters,yield and quality traits by DPS statistical software.【Results】The results showed that,the variation coefficients of the characters among 19 cotton varieties ranged from 0.92%to 15.08%,and the variation coefficient of plant height was the largest,which was 15.08%.The correlation analysis results showed that the plant height was significantly or extremely significantly correlated with fruit branch number,first fruit node height,cotton yield and elongation,cotton yield was significantly or extremely significantly correlated with first fruit node height,boll number per plant,boll weight per plant and short fiber index,fiber length was significantly or extremely significantly correlated with boll weight per plant,Micronaire and breaking strength,evenness index was significantly or extremely significantly correlated with breaking strength specific strength,elongation and short fiber index showed significant or extremely significant correlation.The results of principal component analysis showed that the cumulative contribution rate of the first six principal components was 86.2894%,which could reflect most of the information of all traits.According to the comprehensive evaluation ranking of the tested materials,the top four materials were K07-12,zhongmiansuo 92,Z1112 and zhongmiansuo 113.Grey correlation analysis results showed that the materials with higher weighted correlation degree were K07-12,Z1112,zhongmiansuo 92 and zhongmiansuo 113.The larger the weighted correlation degree,the closer it was to the ideal variety.Therefore,K07-12,Z1112,zhongmiansuo 92 and zhongmiansuo 113 performed better.【Conclusion】The results of principal component analysis and grey correlation analysis were basically consistent,so K07-12,zhongmiansuo 92,Z1112 and zhongmiansuo 113 are recommended to be planted and popularized in the 7th Agricultural Division cotton area.