46份不结球白菜种质资源的评价
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摘要
调查了46份不结球白菜种质资源的17个农艺性状,通过对这些农艺性状的相关性、主成分和系统聚类分析,结果发现:13个数量性状变异系数在7.18%~28.04%区间内波动,花期侧枝数变异系数最大,为28.04%;各性状间存在较高相关性,株幅与株高(0.331*)显著正相关,与叶长(0.439**)极显著正相关,荚果长与荚果种子粒数(0.703**)极显著正相关;主成分分析发现,前7个主成分方差累计贡献率为78.96%,分别为株型和产量性状因子、种子数量相关因子、花期和腰粗、花色、叶面、株幅等,这些因子基本上可以反映不结球白菜农艺性状的总体信息;46份不结球白菜种质资源在欧氏距离20处聚为3类,第Ⅰ类主要为青梗菜,第Ⅱ类为直立型散叶白菜,第Ⅲ类为奶白菜。
In this study,the 17 agronomic traits of 46 non-heading Chinese cabbage germplasm resources were investigated and analyzed by correlation analysis,principal component analysis and systematic cluster analysis. The results showed that the variation coefficients of 13 quantitative traits were in the range of 7.18% ~ 28.04%,and the number of lateral branches at flowering stage had the largest variation coefficient(28.04%). The plant width of non-heading Chinese cabbage was significantly positively correlated with the plant height(0.331*),and was very significantly positively correlated with the leaf length(0.439**).There was a very significantly positive correlation between the pod length and the seed number per pod(0.703**). The principal component analysis found that the former seven principal components had the variance cumulative contribution rate of 78. 96%,which could be summarized as plant type and yield trait factor,seed-number-correlated factor,flowering period factor,waist factor,flower color factor,leaf surface factor,and plant width factor. These factors could basically reflect the agronomic trait information of non-heading Chinese cabbage. The 46 non-heading Chinese cabbage germplasm resources were clustered into three groups when Euclidean distance was 20: the first group mainly included green-stalk cabbage; the second group was erect-type leafy cabbage; the third group was milk Chinese cabbage.
In this study,the 17 agronomic traits of 46 non-heading Chinese cabbage germplasm resources were investigated and analyzed by correlation analysis,principal component analysis and systematic cluster analysis. The results showed that the variation coefficients of 13 quantitative traits were in the range of 7.18% ~ 28.04%,and the number of lateral branches at flowering stage had the largest variation coefficient(28.04%). The plant width of non-heading Chinese cabbage was significantly positively correlated with the plant height(0.331*),and was very significantly positively correlated with the leaf length(0.439**).There was a very significantly positive correlation between the pod length and the seed number per pod(0.703**). The principal component analysis found that the former seven principal components had the variance cumulative contribution rate of 78. 96%,which could be summarized as plant type and yield trait factor,seed-number-correlated factor,flowering period factor,waist factor,flower color factor,leaf surface factor,and plant width factor. These factors could basically reflect the agronomic trait information of non-heading Chinese cabbage. The 46 non-heading Chinese cabbage germplasm resources were clustered into three groups when Euclidean distance was 20: the first group mainly included green-stalk cabbage; the second group was erect-type leafy cabbage; the third group was milk Chinese cabbage.
引文
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[20]朱长志,张志仙,刘君,等.青花菜主要农艺性状相关性、主成分与聚类分析[J].中国农学通报,2015,31(4):73-79.
[21]赵建军.白菜类作物重要农艺性状的遗传分析[D].北京:中国农业科学院,2005.
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[2]韩建明,侯喜林,史公军,等.不结球白菜株高性状主基因+多基因遗传分析[J].南京农业大学学报,2008,31(1):23-26.
[3]曹寿椿,李式军.白菜地方品种的初步研究Ⅰ.形态学的观察与研究[J].南京农学院学报,1980(2):32-39.
[4]王笑一,于拴仓,张凤兰,等.小白菜品种的SSR指纹图谱及遗传特异性分析[J].华北农学报,2008,23(5):97-103.
[5]刘冬媛,王新华,刘杨,等.不结球白菜品种(系)遗传多样性与亲缘关系的SSR分析[J].分子植物育种,2014,12(3):499-508.
[6]秦艳梅,李向,赵建军,等.不结球白菜品种基于SSR标记的群体结构分析[J].华北农学报,2013,28(3):62-66.
[7]侯喜林.不结球白菜育种研究新进展[J].南京农业大学学报,2003,26(4):111-115.
[8]崔秀敏,侯喜林,孙菲菲,等.不结球白菜农艺性状的主成分分析及与黑斑病的通径分析[J].浙江农业学报,2006,18(2):99-102.
[9]刘朝阳,穆金艳,孙丽,等.小白菜主要营养品质及与农艺性状的相关分析[J].北方园艺,2014(15):10-13.
[10]孙丽,赵锋亮,李贞霞,等.二十二份小白菜主要农艺性状的遗传及相关分析[J].北方园艺,2014(17):1-4.
[11]曾国平.不结球白菜主要农艺性状基因效应与杂种优势分析[C]//中国园艺学会.中国园艺学会首届青年学术讨论会论文集.1994.
[12]郝慧楠,王倩,侯喜林,等.不结球白菜主要农艺性状的分离分析[J].南京农业大学学报,2010,33(4):8-12.
[13]韩建明,侯喜林,徐海明,等.不结球白菜种质资源形态性状多样性分析[J].生物数学学报,2010,25(1):137-146.
[14]孙菲菲,王夏,王强,等.南京地区白菜种质资源遗传主成分与聚类分析[J].江苏农业科学,2014,42(3):106-109.
[15]柯卫东,孔庆东,余家林.双季茭白品种资源材料的系统聚类分析[J].华中农业大学学报,1997(6):71-74.
[16]程智慧.蔬菜栽培学总论[M].北京:科学出版社,2010.
[17]苗锦山,刘彩霞,戴振建,等.葱种质资源数量性状的聚类分析、相关性和主成分分析[J].中国农业大学学报,2010,15(3):41-49.
[18]段志芬,刘本英,汪云刚,等.云南野生茶树资源农艺性状多样性分析[J].西北农业学报,2013,22(1):125-131.
[19]韩建明.不结球白菜种质资源遗传多样性和遗传模型分析及bc DREB2基因片段克隆[D].南京:南京农业大学,2007.
[20]朱长志,张志仙,刘君,等.青花菜主要农艺性状相关性、主成分与聚类分析[J].中国农学通报,2015,31(4):73-79.
[21]赵建军.白菜类作物重要农艺性状的遗传分析[D].北京:中国农业科学院,2005.
[22]马金健.利用表型和SSR标记分析不结球白菜种质资源遗传多样性[D].杨凌:西北农林科技大学,2015.