基于主成分分析油用牡丹‘凤丹'主要性状评价及选优

doi:10.19640/j.cnki.jtau.2021.02.003

Journal of Tianjin Agricultural University ›› 2021, Vol. 28 ›› Issue (2): 12-17.doi: 10.19640/j.cnki.jtau.2021.02.003

• Researches and Scientific Notes • Previous Articles Next Articles

Evaluation and selection of main characters of oil peony ‘Feng Dan' based on principal component analysis

Zhang Weilong¹, Yang Jinghui^1,*, Song Ke¹, Jiang Xin¹, Gao Wei¹, Zhang Chao², Feng Guohua³

1. College of Horticulture and Landscape, Tianjin Agricultural University, Tianjin 300392, China;
2. Tianshi College, Tianjin 301700, China;
3. Tianjin Municipal Highway Bureau, Tianjin 300384, China

Received:2019-10-15 Online:2021-06-30 Published:2021-07-26

Abstract

Abstract: In order to establish a high-yield evaluation model of oil peony and select the high-yield single plant, the 10 main characters of 85 oil peony ‘Feng Dan' were analyzed with the principal component analysis method. The results showed that the total kernel weight was extremely significantly positively related to the total kernel number (0.87), and significantly positively related to the number of aggregated capsules (0.51) and effective pods (0.51). The 10 ornamental characteristics indicated that the accumulative contribution rate of 4 principle components including kernel factor, growth factor, abortion factor, and fruit shape factor reached 84.52%. Based on the model of high-yield established with the contribution proportion of 4 principal components as the weight coefficient, 85 oil peony could be classified into 5 grades, and extremely high-yield A66, high-yield A23, A44 were selected.

Key words: principal component analysis, oil peony, comprehensive evaluation, correlation analysis.

CLC Number:

S565.9

Zhang Weilong, Yang Jinghui, Song Ke, Jiang Xin, Gao Wei, Zhang Chao, Feng Guohua. Evaluation and selection of main characters of oil peony ‘Feng Dan' based on principal component analysis[J]. Journal of Tianjin Agricultural University, 2021, 28(2): 12-17.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://xuebao.tjau.edu.cn/EN/10.19640/j.cnki.jtau.2021.02.003

http://xuebao.tjau.edu.cn/EN/Y2021/V28/I2/12

References

[1] 李育才. 中国油用牡丹工程的战略思考[J]. 中国工程科学,2014,16(10):58-63.
[2] 熊凯,韩懂博,李丹丹,等. 油用牡丹丰产栽培技术研究进展[J]. 陕西林业科技,2017(6):90-94.
[3] 陈法志,陈镇,戢小梅,等. 油用牡丹种质资源及育种研究进展[J]. 江汉大学学报(自然科学版),2019,47(2):181-185.
[4] 韩继刚,李晓青,刘炤,等. 牡丹油用价值及其应用前景[J]. 粮食与油脂,2014(5):21-25.
[5] 李林昊,张延龙,牛立新,等. 秦岭地区‘凤丹’牡丹居群果期相关性状的表型多样性研究[J]. 西北林学院学报,2015,30(4):127-131.
[6] 林萍,姚小华,曹永庆,等. 油用牡丹‘凤丹’果实性状及其脂肪酸组分的变异分析[J]. 经济林研究,2015(1):67-72.
[7] 祝亚云,孙海楠,蒋泽平,等. ‘凤丹’单株间生长及结实性状的变异分析[J]. 江苏林业科技,2017,44(6):14-16,20.
[8] 崔虎亮,黄弄璋,闫海川,等. 油用牡丹单株产量和主要表型性状的相关性[J]. 华南农业大学学报,2017,38(2):86-91.
[9] 吴晓星,刘凤栾,房义福,等. 36个欧美观赏海棠品种应用价值的综合评价[J]. 南京林业大学学报,2015,39(1):93-98.
[10] 夏冰,司志国,周垂帆. 基于层次分析法的木瓜属海棠植物景观价值评价[J]. 北方园艺,2017(17):115-119.
[11] 郭英姿,贾文庆,刘会超,等. 三十二个品种芍药观赏性状的主成分分析[J]. 北方园艺,2018(4):110-116.
[12] MISHRA P,HERRER O A,BARREIRO P,et al.Detection and quantification of peanut traces in wheat flour by near infrared hyper spectral imaging spectroscopy using principal-component analysis[J]. Journal of Near Infrared Spectroscopy,2015,23(1):15-22.
[13] 包东娥,刘遵春,刘克帅,等. 观赏海棠主要性状的主成分分析及良种选择[J]. 北方园艺,2018(22):117-123.
[14] 陈琳琳,吴瑞姣,李光伟,等. 苹果属植物不同居群分类性状的变异性分析[J]. 北方园艺,2014(13):6-10.
[15] 赵滢,杨义明,范书田,等. 基于主成分分析的山葡萄果实品质评价研究[J]. 吉林农业大学学报,2014,36(5):575-581.
[16] 陈守智,李正丽,龙月娟,等. 桃树主要性状指标的主成分分析及与产量关系的研究[J]. 云南农业大学学报,2005,20(4):544-547.
[17] 赵晓梅,张谦,过利敏,等. 新疆主栽杏品种经济性状主成分分析及优良品种的选择[J]. 新疆农业科学,2010,47(12):2426-2430.
[18] 秦红艳,许培磊,艾军,等. 软枣猕猴桃种质资源果实品质、表型性状多样性及主成分分析[J]. 中国农学通报,2015,31(1):160-165.
[19] 乔宇,廖李,刘璐,等. 桑椹品质评价指标的主成分分析及12个桑品种的桑椹品质综合评价[J]. 蚕业科学,2014,40(5):851-856.
[20] 杨建华,李淑芳,范志远,等. 美国山核桃主要经济性状的主成分分析及良种选择[J]. 浙江农林大学学报,2011,28(6):907-910.
[21] 李恒,唐平,刀丽平,等. 攀枝花9个核桃优良单株主要经济性状的主成分分析及良种筛选[J]. 四川林业科技,2015,36(4):33-36.
[22] 翟大才,姚琦,潘健,等. 皖南山核桃果实表型性状和种仁主要养分含量的比较及相关性分析[J]. 植物资源与环境学报,2019,28(2):10-17.
[23] 庄娣,张晓东,宋尚文,等. 微量元素叶面肥对甜樱桃果实品质影响[J]. 中国果菜,2019,39(6):32-34.
[24] 王怡晨,孙海燕,李永荣,等. 油用牡丹‘凤丹’单株结实量及产油品质分析[J]. 南京林业大学学报(自然科学版),2019,43(4):15.
[25] 姜天华,单佩佩,黄在范,等. 施用氮肥对油用牡丹叶片氮素吸收积累与籽粒品质的影响[J]. 应用生态学报,2016,27(10):3257-3263.
[26] 孙小花,谢亚萍,牛俊义,等. 不同供钾水平对胡麻花后干物质转运分配及钾肥利用效率的影响[J]. 核农学报,2015,29(1):192-201.

Evaluation and selection of main characters of oil peony ‘Feng Dan' based on principal component analysis

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 5

Recommended Articles

Metrics

Comments

[1]	Ding Yongxin, Wang Shiyi, Zhang Yue, Liu Yihan, Guo Xiaoou. Quality analysis and comprehensive evaluation of different melon varieties in Xiqing District of Tianjin [J]. Journal of Tianjin Agricultural University, 2023, 30(3): 7-11.
[2]	Ren Xiaoqin, Wen Hao, Yang Jinghui, Liu Yanjun, Li Bing, Liang Fahui. Principal component analysis of fruit quality of 8 grape varieties [J]. Journal of Tianjin Agricultural University, 2023, 30(2): 7-10.
[3]	Ren Xiaoqin, Wen Hao, Xue Xiaoqi, Wang Zhixue, Yang Jinghui, Liu Yanjun. Comparison of nutrient elements in 10 different varieties of grape fruits based on principal component analysis [J]. Journal of Tianjin Agricultural University, 2022, 29(4): 13-16.
[4]	HAN Na-na, ZHOU Qing-yun, SUN Shu-hong. Evaluation on the reclamation effect of homestead in the coastal salinization area of North China [J]. Journal of Tianjin Agricultural University, 2019, 26(1): 85-90.
[5]	ZHANG Zhen-rong, YANG Jing-hui, DAI Yuan, LIU Lei, YIN Wei-na. Comparison and Comprehensive Evaluation of Effect of Entrepreneurial Motivation for Science Technology Undergraduates from Six Universities [J]. Journal of Tianjin Agricultural University, 2016, 23(1): 66-70.