秋葵品种的农艺性状综合分析
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摘要
[目的]本研究旨在筛选适合在山西晋中地区推广种植的秋葵品种。[方法]以9个秋葵品种为试材,联合采用变异分析、主成分分析、聚类分析与灰色关联分析等多元统计分析,对秋葵苗期、植株形态、叶、花、果、种子等32个主要农艺性状进行综合评价。[结果]其变异系数介于2.13%～68.44%,其中节间长变异系数最大,节间长与单果结籽数、6d果长显著正相关,与4d、8d果长极显著正相关,但与单株结果数、2d果长显著负相关,与6d果宽极显著负相关。主成分分析将其综合为果荚发育、壮苗、开花、种子发育等主成成分。聚类分析将9个秋葵品种分成3类,并将红、绿色的秋葵品种区分开来。[结论]灰色关联分析与主成分分析结果基本一致,‘黄秋葵’表现最好,结实特性好,其次是‘绿美人’,这2个品种适于在晋中地区推广。
[Objectives]Present study was aimed to screen suitable okra(A.esculentus L.)varieties which could adapt and be cultivated in the central part of Shanxi Province.[Methods]Nine okra varieties were selected as study materials,and 32 agronomic traits related to each variety′s seedling,plant form,leaf,flower,fruit,and seeds,were comprehensively assessed by variation analysis,principal component analysis,cluster analysis,and grey correlation analysis.[Results]The results showed that the variation coefficient were 2.13%～68.44%,and the highest variation coefficient was observed with internode length trait.There was significantly positive correlation between internode length and seed number,(P<0.05),pod length at 6-day old(P<0.05),and pod length at 4-,and 8-day old(P<0.01);while a significantly negative correlation was noticed with pod number and pod length at 2-day old(P<0.05),and pod width at 6-day old(P<0.01).Four principal components including pod development,vigorous seedling,flowering,and seed development were extracted by principal component analysis,and nine varieties were divided into 3 classes by cluster analysis,in which the red pod and green pod okra varieties were distinguished.[Conclusion]The results of grey correlation analysis was consistent with the principal component analysis results,which indicated that'Huangqiukui'performed the best in the experimental area with the good seed productivity,and followed by'Lvmeiren'.These two varieties are the most suitable ones for cultivation in the central part of Shanxi Province.
[Objectives]Present study was aimed to screen suitable okra(A.esculentus L.)varieties which could adapt and be cultivated in the central part of Shanxi Province.[Methods]Nine okra varieties were selected as study materials,and 32 agronomic traits related to each variety′s seedling,plant form,leaf,flower,fruit,and seeds,were comprehensively assessed by variation analysis,principal component analysis,cluster analysis,and grey correlation analysis.[Results]The results showed that the variation coefficient were 2.13%～68.44%,and the highest variation coefficient was observed with internode length trait.There was significantly positive correlation between internode length and seed number,(P<0.05),pod length at 6-day old(P<0.05),and pod length at 4-,and 8-day old(P<0.01);while a significantly negative correlation was noticed with pod number and pod length at 2-day old(P<0.05),and pod width at 6-day old(P<0.01).Four principal components including pod development,vigorous seedling,flowering,and seed development were extracted by principal component analysis,and nine varieties were divided into 3 classes by cluster analysis,in which the red pod and green pod okra varieties were distinguished.[Conclusion]The results of grey correlation analysis was consistent with the principal component analysis results,which indicated that'Huangqiukui'performed the best in the experimental area with the good seed productivity,and followed by'Lvmeiren'.These two varieties are the most suitable ones for cultivation in the central part of Shanxi Province.
引文
[1]石雪萍.黄秋葵的研究进展及应用前景[J].中国野生植物资源,2017,36(4):63-67.
[2]卢隆杰,苏浓,岳森.菜药花兼用型植物---黄秋葵[J].特种经济动植物2004(8):33-34.
[3]Kyriakopoulou O G,Arens P,Pelgrom K T B,et al.Genetic and morphological diversity of okra(Abelmoschus esculentus[L.]Moench.)genotypes and their possible relationships,with particular reference to Greek landraces[J].Scientia Horticulturae,2014(171):58-70.
[4]Calisir S,Ozcan M,Haciseferogullari H,et al.A study on some physico-chemical properties of Turkey okra(Hibiscus esculenta L.)seeds[J].Journal of Food Engineering,2005,68(1):73-78.
[5]Sami R,Lianzhou J,Yang L,et al.Evaluation of fatty acid and amino acid compositions in okra(Abelmoschus esculentus)grown in different geographical locations[J].BioMed Research International 2013,(2013):1-6.
[6]Chao P Y,Lin S Y,Lin K H,et al.Antioxidant activity in extracts of 27indigenous Taiwanese vegetables[J].Nutrients,2014,6(5):2115-2130.
[7]Petropoulos S,Fernandes A,Barros L,et al.Chemical composition,nutritional value and antioxidant properties of Mediterranean okra genotypes in relation to harvest stage[J].Food chemistry,2018,(242):466-474.
[8]李春梅.红秋葵荚果采收长度对品质的影响[J].佛山科学技术学院学报(自然科学版),2008,26(2):45-47.
[9]许如意,罗丰,袁廷庆,等.不同采摘期对黄秋葵果实性状和品质的影响[J].长江蔬菜,2011(2):18-20.
[10]Petropoulos S,Fernandes A,Barros L,et al.The chemical composition,nutritional value and antimicrobial properties of Abelmoschus esculentus seeds[J].Food and Function,2017,8(12):4733-4743.
[11]高玲,刘迪发,徐丽.黄秋葵研究进展与前景[J].热带农业科学,2014,34(11):22-29.
[12]洪建基,曾日秋,姚运法,等.黄秋葵种质资源遗传多样性及相关性分析[J].中国农学通报,2015,31(28):79-84.
[13]邵海龙,赵文若,赵宏辉.吉林地区黄秋葵不同品种引种试验[J].吉林蔬菜,2010(3):72-73.
[14]陈连珠,肖日升,林道元,等.基于灰色关联分析的黄秋葵品种综合评估[J].南方农业学报,2016,47(3)419-423.
[15]张睿.灰色关联分析与主成分分析综合评价不同产地柴胡质量[J].中国药师,2017,20(8):1356-1359.
[16]伏兵哲,高雪芹,高永发,等.21个苜蓿品种主要农艺性状关联分析与综合评价[J].草业学报,2015,24(11):174-182.
[17]罗俊杰,欧巧明,叶春雷,等.重要胡麻栽培品种的抗旱性综合评价及指标筛选[J].作物学报,2014,40(7):1259-1273.
[18]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.
[19]李景恩,龚毅,肖金锋.红秋葵和黄秋葵种子营养成分比较分析[J].食品科技,2017(12):112-115.
[2]卢隆杰,苏浓,岳森.菜药花兼用型植物---黄秋葵[J].特种经济动植物2004(8):33-34.
[3]Kyriakopoulou O G,Arens P,Pelgrom K T B,et al.Genetic and morphological diversity of okra(Abelmoschus esculentus[L.]Moench.)genotypes and their possible relationships,with particular reference to Greek landraces[J].Scientia Horticulturae,2014(171):58-70.
[4]Calisir S,Ozcan M,Haciseferogullari H,et al.A study on some physico-chemical properties of Turkey okra(Hibiscus esculenta L.)seeds[J].Journal of Food Engineering,2005,68(1):73-78.
[5]Sami R,Lianzhou J,Yang L,et al.Evaluation of fatty acid and amino acid compositions in okra(Abelmoschus esculentus)grown in different geographical locations[J].BioMed Research International 2013,(2013):1-6.
[6]Chao P Y,Lin S Y,Lin K H,et al.Antioxidant activity in extracts of 27indigenous Taiwanese vegetables[J].Nutrients,2014,6(5):2115-2130.
[7]Petropoulos S,Fernandes A,Barros L,et al.Chemical composition,nutritional value and antioxidant properties of Mediterranean okra genotypes in relation to harvest stage[J].Food chemistry,2018,(242):466-474.
[8]李春梅.红秋葵荚果采收长度对品质的影响[J].佛山科学技术学院学报(自然科学版),2008,26(2):45-47.
[9]许如意,罗丰,袁廷庆,等.不同采摘期对黄秋葵果实性状和品质的影响[J].长江蔬菜,2011(2):18-20.
[10]Petropoulos S,Fernandes A,Barros L,et al.The chemical composition,nutritional value and antimicrobial properties of Abelmoschus esculentus seeds[J].Food and Function,2017,8(12):4733-4743.
[11]高玲,刘迪发,徐丽.黄秋葵研究进展与前景[J].热带农业科学,2014,34(11):22-29.
[12]洪建基,曾日秋,姚运法,等.黄秋葵种质资源遗传多样性及相关性分析[J].中国农学通报,2015,31(28):79-84.
[13]邵海龙,赵文若,赵宏辉.吉林地区黄秋葵不同品种引种试验[J].吉林蔬菜,2010(3):72-73.
[14]陈连珠,肖日升,林道元,等.基于灰色关联分析的黄秋葵品种综合评估[J].南方农业学报,2016,47(3)419-423.
[15]张睿.灰色关联分析与主成分分析综合评价不同产地柴胡质量[J].中国药师,2017,20(8):1356-1359.
[16]伏兵哲,高雪芹,高永发,等.21个苜蓿品种主要农艺性状关联分析与综合评价[J].草业学报,2015,24(11):174-182.
[17]罗俊杰,欧巧明,叶春雷,等.重要胡麻栽培品种的抗旱性综合评价及指标筛选[J].作物学报,2014,40(7):1259-1273.
[18]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.
[19]李景恩,龚毅,肖金锋.红秋葵和黄秋葵种子营养成分比较分析[J].食品科技,2017(12):112-115.