基于灰色关联分析综合评估酥瓜品种的农艺性状

doi:10.6048/j.issn.1001-4330.2019.10.009

新疆农业科学 ›› 2019, Vol. 56 ›› Issue (10): 1839-1845.DOI: 10.6048/j.issn.1001-4330.2019.10.009

• 园艺·林业·生理生化 • 上一篇下一篇

基于灰色关联分析综合评估酥瓜品种的农艺性状

张雪彬¹, 曹明¹, 杨小锋^1,3, 王怀松², 陶凯¹, 陈连珠¹

1.三亚市南繁科学技术研究院,海南三亚 572000;
2.国家西甜瓜产业技术体系三亚综合试验站,海南三亚;
3.中国农业科学院蔬菜花卉研究所,北京 100081

收稿日期:2019-07-04 发布日期:2019-11-22
通信作者: 杨小锋(1977-),男,研究员,博士研究生,研究方向为设施园艺与无土栽培,(E-mail)hnmelon2008@163.com
作者简介:张雪彬(1989-),男,助理研究员,研究方向为蔬菜无土栽培与西甜瓜设施栽培,(E-mail)865407277@qq.com
基金资助:
三亚市农业科技创新项目“香(酥)瓜新品种引进与优质栽培技术示范推广”(2016NK05);国家科技支撑计划资助项目(2014BAD05B04);国家西甜瓜产业技术体系专项资金(CARS-26-37)

Comprehensive Assessment for agronomic character of Crisp Melon(Cucumismelo.var. conmon Group)Cultivar Based on Grey Correlation Analysis

ZHANG Xue-bin¹, CAO Ming¹,YANG Xiao-feng^1,3, WANG Huai-song², TAO Kai¹,CHEN Lian-zhu¹

1.Sanya Nanfan Science and Technology Academy for Crop Winter Multiplication, Sanya Hainan 572000, China;
2.The Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China ;
3.Sanya Comprehensive Experimental Station of National Watermelon and Melon Industry Technology System, Sanya Hainan 572000, China

Received:2019-07-04 Published:2019-11-22
Correspondence author: YANG Xiao-feng (1977-), Researcher, doctoral student, research field: Facilities for horticulture and soilless cultivation, (E-mail)hnmelon2008@163.com

摘要/Abstract

摘要： 【目的】综合评估酥瓜新品种的主要农艺性状,筛选出适合三亚地区种植的酥瓜品种。【方法】在三亚地区进行酥瓜新品种田间比较试验,采用灰色关联分析法,综合评估供试9个酥瓜新品种的坐果率、商品率、产量、中心可溶性固形物含量、果肉厚度、种腔大小指数等6个主要农艺性状。【结果】各供试品种综合性状的等权关联度排序为N₆>绿牛>N₃>N₇>N₄>N₉>N₂>N₁>N₅,综合性状的加权关联度排序为绿牛>N₆>N₃>N₇>N₄>N₉>N₂>N₁>N₅。其中酥瓜新品种绿牛和N₆综合性状表现优良,排序靠前,N₁和N₅综合性状表现不理想,排序靠后。综合性状的加权关联度排序更符合田间观测结果。【结论】应用灰色关联分析法评估筛选出的酥瓜新品种绿牛和N₆综合性状表现优,适合在三亚地区推广种植。

关键词: 酥瓜; 农艺性状; 综合评估; 灰色关联度分析

Abstract: 【Objective】 To assess the agronomic characters of new crisp melon cultivars comprehensively in the hope of providing new crisp melon cultivars suitable for planting in Sanya. 【Method】 The field experiment was conducted to compare agronomic characters of 9 new crisp melon cultivars in Sanya, Hainan. The main agronomic traits, including fruit setting rate, commodity rate, yield, soluble solid content in the center, flesh thickness and cavity size index, were assessed comprehensively based on grey correlation analysis. 【Result】 All the tested new crisp melon cultivars were ranked according to equal-weighted correlation degree between comprehensive characters, which were: N₆> Lvniu >N₃>N₇>N₄>N₉>N₂>N₁>N₅, and according to weighted correlation degree between comprehensive characters, they were as follows: Lvniu > N₆> N₃> N₇>N₄>N₉> N₂> N₁ > N_5. Furthermore, Lvniu and N₆ ranked in the top 2 of all the cultivars, with good comprehensive characters, while N₁and N₅ ranked in the last 2 of all cultivars, with poor comprehensive characters. The order of weighted correlation degree was more in line with the field observation results. 【Conclusion】 Lvniu and N₆are screened out based on grey correlation analysis, which have excellent comprehensive characters, and are suitable for planting in Sanya.

Key words: crisp melon(Cucumis melo .var.conmon Group); agronomic character; comprehensive assessment; grey correlation analysis

中图分类号:

:S652

张雪彬, 曹明, 杨小锋, 王怀松, 陶凯, 陈连珠. 基于灰色关联分析综合评估酥瓜品种的农艺性状[J]. 新疆农业科学, 2019, 56(10): 1839-1845.

ZHANG Xue-bin, CAO Ming,YANG Xiao-feng, WANG Huai-song, TAO Kai,CHEN Lian-zhu. Comprehensive Assessment for agronomic character of Crisp Melon(Cucumismelo.var. conmon Group)Cultivar Based on Grey Correlation Analysis[J]. Xinjiang Agricultural Sciences, 2019, 56(10): 1839-1845.

参考文献

[1]中国农业科学院郑州果树研究所.中国西瓜甜瓜[M].北京:中国农业出版社,2000:361-368.;Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences. Chinese Watermelon and Muskmelon [M]. Beijing: China Agriculture Press: 2000:361-368.
[2]袁凌云,苏亚,朱世东,等.酥瓜新品种淮酥3号[J].园艺学报,2016,43(10):2 063-2 064.;YUAN Ling-yun, SU Ya, ZHU Shi-dong, et al. A New Crisp Melon Cultivar Huaisu 3[J]. Acta Horticulturae Sinica, 2016,43(10): 2,063-2,064.
[3]侯金锋,苏亚,朱世东,等.酥瓜新品种淮酥1号[J].园艺学报,2019,46(S2):1-2.;HOU Jin-feng, SU Ya, ZHU Shi-dong, et al. A New Crisp Melon Cultivar Huaisu 1 [J]. Acta Horticulturae Sinica,2019:46(S2):1-2.
[4]王敏,梁振深,冯学杰.海南省厚皮甜瓜设施栽培现状与发展对策[J].中国瓜菜,2009,22(3):64-65.;WANG Min, LIANG Zhen-shen, FENG Xue-jie. Cultivation Status and Development Countermeasures of Muskmelon in Hainan Province [J]. China Cucurbits and Vegetables, 2009,22(3):64-65.
[5]邓聚龙.农业系统灰色理论与方法[M].济南:山东科学技术出版社,1988.;DENG Ju-long. Grey Theories and Methods of Agricultural System [M]. Jinna: Shangdong Science and Technology Publishing House, 1988.
[6]林碧英,高山,林峰,等.甜瓜产量相关性状的灰关联综合分析研究[J].福建农业学报,2008,23(2):178-181.;LIN Bi-ying, GAO Shan, LIN Feng, et al. Grey Relational Grade Analysis on Yield Characteristics of Inbred Melons [J].Fujian Journal of Agricultural Sciences, 2008,23(2):178-181.
[7]张北群.基于灰色关联分析的杂交棉品种综合评估[J].安徽农业科学,2014,42(7):1 951-1 953.;ZHANG Bei- qun. Comprehensive Appraisal of Hybrid Cotton Cultivars by Grey Correlation Analysis [J]. Journal of Anhui Agricultural Sciences,2014,42(7):1,951-1,953.
[8]杨光华,王学林,曹明,等.基于灰色关联分析的西瓜品种综合评估[J].北方园艺,2018,(7):22-26.;YANG Guang-hua, WANG Xue-lin, CAO Ming, et al. Comprehensive Assessment for Watermelon Cultivars Based on Grey Correlation Analysis [J]. Northern Horticulture,2018,(7):22-26.
[9]王晓庆,徐娟,黄洁,等.红黄肉甘薯性状的灰色关联度分析及营养食味评价[J].西北农林科技大学学报(自然科学版),2013,41(2):53-60.;WANG Xiao-qing, XU Juan, HUANG Jie, et al. Gray Relational Analysis of Main Traits And Quality Evaluation of Red And Yellow Sweet Potatoes [J].Journal of Northwest A&F University (Nat. Sci. Ed.),2013,42(2):53-60.
[10]张秀荣,张保才,刘峥.越冬甘蓝主要农艺性状的灰色关联度分析及综合评价[J].江西农业学报,2019,31(6):26-31.;ZHANG Xiu-rong, ZHANG Bao-cai, LIU Zheng. Grey Correlation Degree Analysis And Comprehensive Evaluation of Main Agronomic Characters of Winter Cabbage [J]. Acta Agriculturae Jiangxi, 2019,31(6):26-31.
[11]辛建华,傅振清,刘连科.应用灰色关联度分析甜瓜主要性状对产量的影响[J].石河子大学学报(自然科学版),2001,5(2):123-125.;XIN Jian-hua, FU Zheng-qin, LIU Lian-ke. A Study on Appliance of The Analysis of Grey Correlation in Hami-Melon Breeding [J]. Journal of Shihezi University (Natural Science), 2001,5(2):123-125.
[12]胡建斌,李琼,李静.薄皮甜瓜果实相关性状的灰色关联分析[J].湖南农业科学,2010,(21):119-121.;HU Jian-bin, LI Qiong, LI Jing. Grey Relational Analysis of Fruit-Related Characters of Thin-Peel Melon [J]. Hunan Agricultural Sciences, 2010,(21):119-121.
[13]刘翔宇,刘祖昕,加帕尔,等.基于主成分与灰色关联分析的甜高粱品种综合评价[J].新疆农业科学,2016,53(1):99-107.;LIU Xiang-yu, LIU Zu-xin, Jiapaer, et al. Comprehensive Evaluation of Sweet Sorghum Varieties Based on Principal Component Silabi Analysis and Gray Relational Grade Analysis [J]. Xinjiang Agricultural Sciences,2016,53(1):99-107.
[14]郭存芝,郑垂勇,陈传美.灰关联分析法在农作物品种综合评判中的应用[J].河海大学学报,1999,24(2):96-99.;GUO Cun-zhi, ZHENG Chui-yong, CHEN Chuan-mei. Application of Grey Relativity Analysis to Comprehensive Evaluation of Crop Varieties [J]. Journal of Hohai University, 1999,24(2):96-99.
[15]许如意,袁廷庆,罗丰,等.灰色关联度综合评判设施栽培豇豆品种[J].热带作物学报,2011,32(2):213-216.;Xu Ru-yi, YUAN Ting-qing, LUO Feng, et al. Application of the Grey Relational Analysis on the Yard Long Bean in Facility [J]. Chinese Journal of Tropical Crops, 2011,32(2):213-216.

基于灰色关联分析综合评估酥瓜品种的农艺性状

Comprehensive Assessment for agronomic character of Crisp Melon(Cucumismelo.var. conmon Group)Cultivar Based on Grey Correlation Analysis

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	向莉, 王仙, 董裕生, 郭小玲, 方伏荣, 陈智军, 马艳明, 苗雨. 外源丁酸对干旱胁迫下大麦产量及品质的影响[J]. 新疆农业科学, 2023, 60(9): 2173-2181.
[2]	马青山, 杜霄, 陶志鑫, 韩万里, 龙遗磊, 艾先涛, 胡守林. 陆地棉种质材料机采农艺性状鉴定分析[J]. 新疆农业科学, 2023, 60(8): 1830-1839.
[3]	王挺, 张力, 张凡凡, 黄嵘峥, 李肖, 张玉琳, 陈永成, 赵建涛, 马春晖. 适合青贮的玉米品种生产性能筛选及营养价值评价[J]. 新疆农业科学, 2023, 60(7): 1596-1605.
[4]	时晓磊, 丁孙磊, 丛花, 张金波, 曲可佳, 王兴州, 韩岱, 严勇亮. 夏播大豆产量相关性状灰色关联度分析[J]. 新疆农业科学, 2023, 60(7): 1641-1652.
[5]	严勇亮, 张恒, 曲可佳, 时晓磊, 王兴州, 张金波, 丛花. 大豆不同品种农艺性状及产量的比较[J]. 新疆农业科学, 2023, 60(7): 1653-1662.
[6]	陆晏天, 桑志勤, 徐灿, 张力, 夏春兰, 王友德, 李伟, 陈树宾. 历年新疆和宁夏审定玉米品种主要性状的演化及品种审定现状分析[J]. 新疆农业科学, 2023, 60(6): 1379-1388.
[7]	黄倩楠, 马尔合巴·艾司拜尔, 邹辉, 王彩荣, 艾力买买提·库尔班, 孙娜, 雷钧杰. 新疆冬小麦种质资源主要农艺性状遗传多样性分析[J]. 新疆农业科学, 2023, 60(5): 1050-1058.
[8]	董秀丽, 韩登旭, 杨杰, 阿布来提·阿布拉, 戴爱梅, 李俊杰, 王业建, 刘俊, 郗浩江, 梁晓玲, 李铭东. 密植条件下玉米主要农艺性状的综合性分析[J]. 新疆农业科学, 2023, 60(4): 865-871.
[9]	杜红艳, 庞胜群, 马海翔, 吉雪花. 加工番茄早熟突变体农艺性状相关性及通径分析[J]. 新疆农业科学, 2023, 60(4): 943-950.
[10]	郝曦煜, 杨涛, 张俊杰, 李雪, 张仲鹃, 武晨清, 宗绪晓, 冷友斌, 陈博, 郭来春. 不同氮磷钾处理对鹰嘴豆产量、农艺性状及经济效益的影响[J]. 新疆农业科学, 2023, 60(3): 555-566.
[11]	马清倩, 杨红兰, 魏鑫, 张大伟, 程利华, 张道远. 18份国外棉花种质黄萎病抗性鉴定与筛选[J]. 新疆农业科学, 2023, 60(2): 286-294.
[12]	阿里别里根·哈孜太, 哈尼帕·哈再斯, 祖勒胡玛尔·乌斯满江, 姚庆, 守合热提·牙地卡, 侯献飞, 李强, 张正. 新疆伊犁河谷地区引进大豆品种适应性分析[J]. 新疆农业科学, 2023, 60(2): 326-335.
[13]	秦国礼, 王为然, 王萌, 杨静, 黄幸磊, 刘志清, 朱家辉, 阿里甫·艾尔西, 孔杰, 陈国栋. 草甘膦对海岛棉农艺性状及光合作用的影响[J]. 新疆农业科学, 2023, 60(12): 2861-2868.
[14]	贾永红, 魏海鹏, 侯殿亮, 曾潮武, 纳斯如拉·克热木, 梁晓东. 新疆自育春小麦品种抗旱性及农艺性状相关性评价[J]. 新疆农业科学, 2023, 60(12): 2940-2948.
[15]	李梦桐, 张相锋, 焦子伟. 添加亚硒酸纳对人工栽培羊肚菌子实体产量及农艺性状的影响[J]. 新疆农业科学, 2023, 60(11): 2816-2823.