Diversity of Local Indonesian Mungbean Germplasm Based on Morphological Quantitative and Qualitative Traits
Mungbean (Vigna radiata L.) is one of an important cash crop legume in Indonesia, especially in dry regions. Identification and evaluation diversity of germplasm collections play important role for mungbean breeding program. The aim of this study was to determine the relationship among mungbean acce...
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description | Mungbean (Vigna radiata L.) is one of an important cash crop legume in Indonesia, especially in dry regions. Identification and evaluation diversity of germplasm collections play important role for mungbean breeding program. The aim of this study was to determine the relationship among mungbean accessions based on quantitative and qualitative traits. A total of 122 local mungbean accessions from Indonesian was obtained from ILETRI germplams collections which have been cultivated in Jambegede Research Station Thirteen variables quantitative and five variables qualitative were observed. Data were analysis using principal component analysis (PCA) and cluster analysis. The results showed that five principal components (PC) contributed 76% of total variation. The most important characters for PC 1 was number of branches, number of fertile nodes per branches, number of pod cluster, and number of filled pod, PC 2 was days 50% to flowering and maturing days, PC 3 was percentage plant affected to root rot diseases, PC 4 was seed weight per plant and plant height, and PC 5 was 100-seed weight. The dendogram clustered 122 accessions into four groups. Based on clusters analysis there were four clusters with similarity distance 72.29%. There was no parallelism between geographical distributions in each cluster. |
doi_str_mv | 10.1088/1755-1315/197/1/012036 |
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Identification and evaluation diversity of germplasm collections play important role for mungbean breeding program. The aim of this study was to determine the relationship among mungbean accessions based on quantitative and qualitative traits. A total of 122 local mungbean accessions from Indonesian was obtained from ILETRI germplams collections which have been cultivated in Jambegede Research Station Thirteen variables quantitative and five variables qualitative were observed. Data were analysis using principal component analysis (PCA) and cluster analysis. The results showed that five principal components (PC) contributed 76% of total variation. The most important characters for PC 1 was number of branches, number of fertile nodes per branches, number of pod cluster, and number of filled pod, PC 2 was days 50% to flowering and maturing days, PC 3 was percentage plant affected to root rot diseases, PC 4 was seed weight per plant and plant height, and PC 5 was 100-seed weight. The dendogram clustered 122 accessions into four groups. Based on clusters analysis there were four clusters with similarity distance 72.29%. There was no parallelism between geographical distributions in each cluster.</description><identifier>ISSN: 1755-1307</identifier><identifier>ISSN: 1755-1315</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/197/1/012036</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Beans ; Breeding ; Cash crops ; Cluster analysis ; Flowering ; Geographical distribution ; Germplasm ; Legumes ; multivariate analysis ; mungbean breeding ; plant genetic resources ; Principal components analysis ; Qualitative analysis ; Root rot ; Weight</subject><ispartof>IOP conference series. Earth and environmental science, 2018-11, Vol.197 (1), p.12036</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2018. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c354t-a5ffd71bb9e7405e59347881d9a26cb0cc75be2db26cd4763572347333a7551e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1755-1315/197/1/012036/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27924,27925,38868,38890,53840,53867</link.rule.ids></links><search><creatorcontrib>Hapsari, R T</creatorcontrib><creatorcontrib>Trustinah</creatorcontrib><creatorcontrib>Iswanto, R</creatorcontrib><title>Diversity of Local Indonesian Mungbean Germplasm Based on Morphological Quantitative and Qualitative Traits</title><title>IOP conference series. Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>Mungbean (Vigna radiata L.) is one of an important cash crop legume in Indonesia, especially in dry regions. Identification and evaluation diversity of germplasm collections play important role for mungbean breeding program. The aim of this study was to determine the relationship among mungbean accessions based on quantitative and qualitative traits. A total of 122 local mungbean accessions from Indonesian was obtained from ILETRI germplams collections which have been cultivated in Jambegede Research Station Thirteen variables quantitative and five variables qualitative were observed. Data were analysis using principal component analysis (PCA) and cluster analysis. The results showed that five principal components (PC) contributed 76% of total variation. The most important characters for PC 1 was number of branches, number of fertile nodes per branches, number of pod cluster, and number of filled pod, PC 2 was days 50% to flowering and maturing days, PC 3 was percentage plant affected to root rot diseases, PC 4 was seed weight per plant and plant height, and PC 5 was 100-seed weight. The dendogram clustered 122 accessions into four groups. Based on clusters analysis there were four clusters with similarity distance 72.29%. There was no parallelism between geographical distributions in each cluster.</description><subject>Beans</subject><subject>Breeding</subject><subject>Cash crops</subject><subject>Cluster analysis</subject><subject>Flowering</subject><subject>Geographical distribution</subject><subject>Germplasm</subject><subject>Legumes</subject><subject>multivariate analysis</subject><subject>mungbean breeding</subject><subject>plant genetic resources</subject><subject>Principal components analysis</subject><subject>Qualitative analysis</subject><subject>Root rot</subject><subject>Weight</subject><issn>1755-1307</issn><issn>1755-1315</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkFFLwzAUhYMoOKd_QQq--FKbNE3TPuqsczARcT6HtElnZtfUJBX2702pTgTBp3tv7ndOuAeAcwSvEMyyCFFCQoQRiVBOIxRBFEOcHoDJfnG47yE9BifWbiBMaYLzCXi7VR_SWOV2ga6Dpa54EyxaoVtpFW-Dh75dl9I3c2m2XcPtNrjhVopA-5023atu9FoNoqeet0457rxfwFsxPDTf88pw5ewpOKp5Y-XZV52Cl7tiNbsPl4_zxex6GVaYJC7kpK4FRWWZS5pAIkmOE5plSOQ8TqsSVhUlpYxF6SeR0BQTGnsCY8z9kUjiKbgYfTuj33tpHdvo3rT-SxYTkidpHnt4CtKRqoy21siadUZtudkxBNkQLBsyY0N-zAfLEBuD9cLLUah09-NcFM-_MNaJ2qPxH-g__p8g54fb</recordid><startdate>20181102</startdate><enddate>20181102</enddate><creator>Hapsari, R T</creator><creator>Trustinah</creator><creator>Iswanto, R</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20181102</creationdate><title>Diversity of Local Indonesian Mungbean Germplasm Based on Morphological Quantitative and Qualitative Traits</title><author>Hapsari, R T ; Trustinah ; Iswanto, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-a5ffd71bb9e7405e59347881d9a26cb0cc75be2db26cd4763572347333a7551e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Beans</topic><topic>Breeding</topic><topic>Cash crops</topic><topic>Cluster analysis</topic><topic>Flowering</topic><topic>Geographical distribution</topic><topic>Germplasm</topic><topic>Legumes</topic><topic>multivariate analysis</topic><topic>mungbean breeding</topic><topic>plant genetic resources</topic><topic>Principal components analysis</topic><topic>Qualitative analysis</topic><topic>Root rot</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hapsari, R T</creatorcontrib><creatorcontrib>Trustinah</creatorcontrib><creatorcontrib>Iswanto, R</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hapsari, R T</au><au>Trustinah</au><au>Iswanto, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diversity of Local Indonesian Mungbean Germplasm Based on Morphological Quantitative and Qualitative Traits</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2018-11-02</date><risdate>2018</risdate><volume>197</volume><issue>1</issue><spage>12036</spage><pages>12036-</pages><issn>1755-1307</issn><issn>1755-1315</issn><eissn>1755-1315</eissn><abstract>Mungbean (Vigna radiata L.) is one of an important cash crop legume in Indonesia, especially in dry regions. Identification and evaluation diversity of germplasm collections play important role for mungbean breeding program. The aim of this study was to determine the relationship among mungbean accessions based on quantitative and qualitative traits. A total of 122 local mungbean accessions from Indonesian was obtained from ILETRI germplams collections which have been cultivated in Jambegede Research Station Thirteen variables quantitative and five variables qualitative were observed. Data were analysis using principal component analysis (PCA) and cluster analysis. The results showed that five principal components (PC) contributed 76% of total variation. The most important characters for PC 1 was number of branches, number of fertile nodes per branches, number of pod cluster, and number of filled pod, PC 2 was days 50% to flowering and maturing days, PC 3 was percentage plant affected to root rot diseases, PC 4 was seed weight per plant and plant height, and PC 5 was 100-seed weight. The dendogram clustered 122 accessions into four groups. Based on clusters analysis there were four clusters with similarity distance 72.29%. There was no parallelism between geographical distributions in each cluster.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/197/1/012036</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Beans Breeding Cash crops Cluster analysis Flowering Geographical distribution Germplasm Legumes multivariate analysis mungbean breeding plant genetic resources Principal components analysis Qualitative analysis Root rot Weight |
title | Diversity of Local Indonesian Mungbean Germplasm Based on Morphological Quantitative and Qualitative Traits |
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