Analysis of genetic divergence, principal component, correlation and path coefficient for quantitative traits of Gerbera ( Gerbera jamesonii ) in the north eastern region, India

Gerbera is an important commercial flower crop in the world. Augmenting the genetic diversity is desirable for further improvement in Gerbera breeding programme. Thirty-seven (37) Gerbera accessions were evaluated and analysed for genetic variability, heritability, correlation and path coefficient a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Plant genetic resources: characterization and utilization 2023-06, Vol.21 (3), p.229-236
Hauptverfasser: Rymbai, Heiplanmi, Verma, V.K., Mawleiñ, J., Hazarika, S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 236
container_issue 3
container_start_page 229
container_title Plant genetic resources: characterization and utilization
container_volume 21
creator Rymbai, Heiplanmi
Verma, V.K.
Mawleiñ, J.
Hazarika, S.
description Gerbera is an important commercial flower crop in the world. Augmenting the genetic diversity is desirable for further improvement in Gerbera breeding programme. Thirty-seven (37) Gerbera accessions were evaluated and analysed for genetic variability, heritability, correlation and path coefficient analysis using yield and quality traits. Results showed that phenotypic coefficients were higher than genotypic coefficients of variation for all the characters. All the traits, except stalk and flower diameter, had high heritability (>60%) and genetic advance (>20%). Based on cluster analysis, the 37 accessions were grouped into seven clusters. Cluster I consists of the maximum number of genotypes (22), while clusters IV–VII are monogenotypic with unique traits. Cluster analysis (D2) showed wider genetic diversity within and between the clusters. The first four principal components (Eigenvalue >1) contributed 72.3% of the total variation. The number of leaves, number of flowers and flower stalk length contributed the most to genetic divergence. Flower yield showed a significant positive genotypic correlation with the number of leaves and suckers. The path analysis (genotypic) revealed that number of suckers, flower stalk diameter and flower stalk length contribute major positive direct effects on number of flowers. Therefore, the wide genetic variability existing in the germplasm may facilitate improvement in gerbera crops. Superior lines (RCGH-12, -22, -114, -117) with higher yield (>23 flowers/plant) and vase life (>5 days) could be promoted for commercial production under open field conditions. While RCGH 28 has a dwarf flower stalk that can be promoted for pots and decoration purposes.
doi_str_mv 10.1017/S1479262123000679
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2892381760</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2892381760</sourcerecordid><originalsourceid>FETCH-LOGICAL-c273t-e9ab37a6824c29982928286d2ce17b205cc67c3f2d5b68a9908b92708014a6253</originalsourceid><addsrcrecordid>eNplUU1LHEEUHIJC_MgPyO1BLgnsxu43O_1xFDFGEDyokNvwpueN9rLbPXb3Cv4s_6FtDF5yevWKogqqmuarFD-lkPrkRq60RYUSWyGE0vZTc_BGLVG1f_Y-MMrPzWHOayGw07o7aF5OA22es88QJ7jnwMU7GP0Tp_o4XsCcfHB-pg24uJ1j4FAWFabEGyo-BqAwwkzloZI8Td75qoApJnjcUSi-VNUTQ0nky9-QC04DJ4LvH2hNW84xeA8_wAcoDwwhpurIlAunAInva9ICLsPo6bjZn2iT-cu_e9Tc_Tq_Pfu9vLq-uDw7vVo61G1ZsqWh1aQMrhxaa9CiQaNGdCz1gKJzTmnXTjh2gzJkrTCDRS2MkCtS2LVHzbd33znFxx3n0q_jLtW2co_GYmukVqKq5LvKpZhz4qmvhW0pPfdS9G_L9P8t074C3pWCqQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2892381760</pqid></control><display><type>article</type><title>Analysis of genetic divergence, principal component, correlation and path coefficient for quantitative traits of Gerbera ( Gerbera jamesonii ) in the north eastern region, India</title><source>Cambridge University Press Journals Complete</source><creator>Rymbai, Heiplanmi ; Verma, V.K. ; Mawleiñ, J. ; Hazarika, S.</creator><creatorcontrib>Rymbai, Heiplanmi ; Verma, V.K. ; Mawleiñ, J. ; Hazarika, S.</creatorcontrib><description>Gerbera is an important commercial flower crop in the world. Augmenting the genetic diversity is desirable for further improvement in Gerbera breeding programme. Thirty-seven (37) Gerbera accessions were evaluated and analysed for genetic variability, heritability, correlation and path coefficient analysis using yield and quality traits. Results showed that phenotypic coefficients were higher than genotypic coefficients of variation for all the characters. All the traits, except stalk and flower diameter, had high heritability (&gt;60%) and genetic advance (&gt;20%). Based on cluster analysis, the 37 accessions were grouped into seven clusters. Cluster I consists of the maximum number of genotypes (22), while clusters IV–VII are monogenotypic with unique traits. Cluster analysis (D2) showed wider genetic diversity within and between the clusters. The first four principal components (Eigenvalue &gt;1) contributed 72.3% of the total variation. The number of leaves, number of flowers and flower stalk length contributed the most to genetic divergence. Flower yield showed a significant positive genotypic correlation with the number of leaves and suckers. The path analysis (genotypic) revealed that number of suckers, flower stalk diameter and flower stalk length contribute major positive direct effects on number of flowers. Therefore, the wide genetic variability existing in the germplasm may facilitate improvement in gerbera crops. Superior lines (RCGH-12, -22, -114, -117) with higher yield (&gt;23 flowers/plant) and vase life (&gt;5 days) could be promoted for commercial production under open field conditions. While RCGH 28 has a dwarf flower stalk that can be promoted for pots and decoration purposes.</description><identifier>ISSN: 1479-2621</identifier><identifier>EISSN: 1479-263X</identifier><identifier>DOI: 10.1017/S1479262123000679</identifier><language>eng</language><publisher>Cambridge: Cambridge University Press</publisher><subject>Cluster analysis ; Coefficient of variation ; Correlation ; Eigenvalues ; Flowers ; Flowers &amp; plants ; Genetic analysis ; Genetic diversity ; Genetic improvement ; Genetic variability ; Genotypes ; Gerbera jamesonii ; Germplasm ; Heritability ; Leaves</subject><ispartof>Plant genetic resources: characterization and utilization, 2023-06, Vol.21 (3), p.229-236</ispartof><rights>Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of National Institute of Agricultural Botany</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c273t-e9ab37a6824c29982928286d2ce17b205cc67c3f2d5b68a9908b92708014a6253</citedby><cites>FETCH-LOGICAL-c273t-e9ab37a6824c29982928286d2ce17b205cc67c3f2d5b68a9908b92708014a6253</cites><orcidid>0000-0002-1589-3919 ; 0000-0001-9441-3567</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Rymbai, Heiplanmi</creatorcontrib><creatorcontrib>Verma, V.K.</creatorcontrib><creatorcontrib>Mawleiñ, J.</creatorcontrib><creatorcontrib>Hazarika, S.</creatorcontrib><title>Analysis of genetic divergence, principal component, correlation and path coefficient for quantitative traits of Gerbera ( Gerbera jamesonii ) in the north eastern region, India</title><title>Plant genetic resources: characterization and utilization</title><description>Gerbera is an important commercial flower crop in the world. Augmenting the genetic diversity is desirable for further improvement in Gerbera breeding programme. Thirty-seven (37) Gerbera accessions were evaluated and analysed for genetic variability, heritability, correlation and path coefficient analysis using yield and quality traits. Results showed that phenotypic coefficients were higher than genotypic coefficients of variation for all the characters. All the traits, except stalk and flower diameter, had high heritability (&gt;60%) and genetic advance (&gt;20%). Based on cluster analysis, the 37 accessions were grouped into seven clusters. Cluster I consists of the maximum number of genotypes (22), while clusters IV–VII are monogenotypic with unique traits. Cluster analysis (D2) showed wider genetic diversity within and between the clusters. The first four principal components (Eigenvalue &gt;1) contributed 72.3% of the total variation. The number of leaves, number of flowers and flower stalk length contributed the most to genetic divergence. Flower yield showed a significant positive genotypic correlation with the number of leaves and suckers. The path analysis (genotypic) revealed that number of suckers, flower stalk diameter and flower stalk length contribute major positive direct effects on number of flowers. Therefore, the wide genetic variability existing in the germplasm may facilitate improvement in gerbera crops. Superior lines (RCGH-12, -22, -114, -117) with higher yield (&gt;23 flowers/plant) and vase life (&gt;5 days) could be promoted for commercial production under open field conditions. While RCGH 28 has a dwarf flower stalk that can be promoted for pots and decoration purposes.</description><subject>Cluster analysis</subject><subject>Coefficient of variation</subject><subject>Correlation</subject><subject>Eigenvalues</subject><subject>Flowers</subject><subject>Flowers &amp; plants</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>Genetic improvement</subject><subject>Genetic variability</subject><subject>Genotypes</subject><subject>Gerbera jamesonii</subject><subject>Germplasm</subject><subject>Heritability</subject><subject>Leaves</subject><issn>1479-2621</issn><issn>1479-263X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplUU1LHEEUHIJC_MgPyO1BLgnsxu43O_1xFDFGEDyokNvwpueN9rLbPXb3Cv4s_6FtDF5yevWKogqqmuarFD-lkPrkRq60RYUSWyGE0vZTc_BGLVG1f_Y-MMrPzWHOayGw07o7aF5OA22es88QJ7jnwMU7GP0Tp_o4XsCcfHB-pg24uJ1j4FAWFabEGyo-BqAwwkzloZI8Td75qoApJnjcUSi-VNUTQ0nky9-QC04DJ4LvH2hNW84xeA8_wAcoDwwhpurIlAunAInva9ICLsPo6bjZn2iT-cu_e9Tc_Tq_Pfu9vLq-uDw7vVo61G1ZsqWh1aQMrhxaa9CiQaNGdCz1gKJzTmnXTjh2gzJkrTCDRS2MkCtS2LVHzbd33znFxx3n0q_jLtW2co_GYmukVqKq5LvKpZhz4qmvhW0pPfdS9G_L9P8t074C3pWCqQ</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Rymbai, Heiplanmi</creator><creator>Verma, V.K.</creator><creator>Mawleiñ, J.</creator><creator>Hazarika, S.</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><orcidid>https://orcid.org/0000-0002-1589-3919</orcidid><orcidid>https://orcid.org/0000-0001-9441-3567</orcidid></search><sort><creationdate>20230601</creationdate><title>Analysis of genetic divergence, principal component, correlation and path coefficient for quantitative traits of Gerbera ( Gerbera jamesonii ) in the north eastern region, India</title><author>Rymbai, Heiplanmi ; Verma, V.K. ; Mawleiñ, J. ; Hazarika, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-e9ab37a6824c29982928286d2ce17b205cc67c3f2d5b68a9908b92708014a6253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cluster analysis</topic><topic>Coefficient of variation</topic><topic>Correlation</topic><topic>Eigenvalues</topic><topic>Flowers</topic><topic>Flowers &amp; plants</topic><topic>Genetic analysis</topic><topic>Genetic diversity</topic><topic>Genetic improvement</topic><topic>Genetic variability</topic><topic>Genotypes</topic><topic>Gerbera jamesonii</topic><topic>Germplasm</topic><topic>Heritability</topic><topic>Leaves</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rymbai, Heiplanmi</creatorcontrib><creatorcontrib>Verma, V.K.</creatorcontrib><creatorcontrib>Mawleiñ, J.</creatorcontrib><creatorcontrib>Hazarika, S.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><jtitle>Plant genetic resources: characterization and utilization</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rymbai, Heiplanmi</au><au>Verma, V.K.</au><au>Mawleiñ, J.</au><au>Hazarika, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of genetic divergence, principal component, correlation and path coefficient for quantitative traits of Gerbera ( Gerbera jamesonii ) in the north eastern region, India</atitle><jtitle>Plant genetic resources: characterization and utilization</jtitle><date>2023-06-01</date><risdate>2023</risdate><volume>21</volume><issue>3</issue><spage>229</spage><epage>236</epage><pages>229-236</pages><issn>1479-2621</issn><eissn>1479-263X</eissn><abstract>Gerbera is an important commercial flower crop in the world. Augmenting the genetic diversity is desirable for further improvement in Gerbera breeding programme. Thirty-seven (37) Gerbera accessions were evaluated and analysed for genetic variability, heritability, correlation and path coefficient analysis using yield and quality traits. Results showed that phenotypic coefficients were higher than genotypic coefficients of variation for all the characters. All the traits, except stalk and flower diameter, had high heritability (&gt;60%) and genetic advance (&gt;20%). Based on cluster analysis, the 37 accessions were grouped into seven clusters. Cluster I consists of the maximum number of genotypes (22), while clusters IV–VII are monogenotypic with unique traits. Cluster analysis (D2) showed wider genetic diversity within and between the clusters. The first four principal components (Eigenvalue &gt;1) contributed 72.3% of the total variation. The number of leaves, number of flowers and flower stalk length contributed the most to genetic divergence. Flower yield showed a significant positive genotypic correlation with the number of leaves and suckers. The path analysis (genotypic) revealed that number of suckers, flower stalk diameter and flower stalk length contribute major positive direct effects on number of flowers. Therefore, the wide genetic variability existing in the germplasm may facilitate improvement in gerbera crops. Superior lines (RCGH-12, -22, -114, -117) with higher yield (&gt;23 flowers/plant) and vase life (&gt;5 days) could be promoted for commercial production under open field conditions. While RCGH 28 has a dwarf flower stalk that can be promoted for pots and decoration purposes.</abstract><cop>Cambridge</cop><pub>Cambridge University Press</pub><doi>10.1017/S1479262123000679</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-1589-3919</orcidid><orcidid>https://orcid.org/0000-0001-9441-3567</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1479-2621
ispartof Plant genetic resources: characterization and utilization, 2023-06, Vol.21 (3), p.229-236
issn 1479-2621
1479-263X
language eng
recordid cdi_proquest_journals_2892381760
source Cambridge University Press Journals Complete
subjects Cluster analysis
Coefficient of variation
Correlation
Eigenvalues
Flowers
Flowers & plants
Genetic analysis
Genetic diversity
Genetic improvement
Genetic variability
Genotypes
Gerbera jamesonii
Germplasm
Heritability
Leaves
title Analysis of genetic divergence, principal component, correlation and path coefficient for quantitative traits of Gerbera ( Gerbera jamesonii ) in the north eastern region, India
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T13%3A38%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20genetic%20divergence,%20principal%20component,%20correlation%20and%20path%20coefficient%20for%20quantitative%20traits%20of%20Gerbera%20(%20Gerbera%20jamesonii%20)%20in%20the%20north%20eastern%20region,%20India&rft.jtitle=Plant%20genetic%20resources:%20characterization%20and%20utilization&rft.au=Rymbai,%20Heiplanmi&rft.date=2023-06-01&rft.volume=21&rft.issue=3&rft.spage=229&rft.epage=236&rft.pages=229-236&rft.issn=1479-2621&rft.eissn=1479-263X&rft_id=info:doi/10.1017/S1479262123000679&rft_dat=%3Cproquest_cross%3E2892381760%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2892381760&rft_id=info:pmid/&rfr_iscdi=true