Loading…

Exploring variability for morphological and quality traits in natural seedling origin mango germplasm of South Gujarat

In order to determine the diversity in local seedling origin mango genotypes from different five districts (Navsari, Valsad, Dang, Tapi and Surat) of South Gujarat region during 2021–2023, which have been found in orchards or backyards by using IPGRI mango descriptor. The exploration of genetic reso...

Full description

Saved in:
Bibliographic Details
Published in:Euphytica 2024-10, Vol.220 (10), p.151-151, Article 151
Main Authors: Patel, Nikita, Tandel, Y. N., Chauhan, D. A., Patel, A. I.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c233t-22ab7ac01d5f56a9d193bd2ac4c3eb0ea5050255dc7a286e3fadbd3c537bfb6f3
container_end_page 151
container_issue 10
container_start_page 151
container_title Euphytica
container_volume 220
creator Patel, Nikita
Tandel, Y. N.
Chauhan, D. A.
Patel, A. I.
description In order to determine the diversity in local seedling origin mango genotypes from different five districts (Navsari, Valsad, Dang, Tapi and Surat) of South Gujarat region during 2021–2023, which have been found in orchards or backyards by using IPGRI mango descriptor. The exploration of genetic resources was carried out to find alternative genotype against prevailing varieties in the state and it sustain mango production in future. A total of 113 mango seedlings were identified and characterized on basis of 7 qualitative, 12 quantitative and 6 biochemical parameters using Completely Randomized Design with three replications of quantitative characteristics. High variation among genotypes was observed with respect qualitative, quantitative and biochemical parameters. Ten superior genotypes were identified based on five commercially important traits viz ., fruit weight (> 200 g), pulp percentage (> 60.00%), TSS (> 20 °Brix), shelf life (> 7 days) and overall acceptability (> 7 point). The genetic variability revealed that higher heritability coupled with higher genetic advance as per cent of mean for 12 quantitative characteristics namely mature fruit weight, fruit length, fruit width, pulp weight, peel weight, stone weight, TSS, acidity, ascorbic acid, total sugars, reducing sugars and non-reducing sugars. The First three Principal component contributed 70.21% of total variation and characters such as mature fruit weight, fruit length, fruit width, pulp weight, peel weight and stone weight most contributing towards diversity in germplasm. Hierarchical cluster analysis resulted the genotypes was grouped into three clusters and genotypes present in cluster III (20) and cluster I (39) had found most divers from each other.
doi_str_mv 10.1007/s10681-024-03403-5
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3102576428</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3102576428</sourcerecordid><originalsourceid>FETCH-LOGICAL-c233t-22ab7ac01d5f56a9d193bd2ac4c3eb0ea5050255dc7a286e3fadbd3c537bfb6f3</originalsourceid><addsrcrecordid>eNp9kU1LxDAQhoMouK7-AU8BL16qk6Rpd48i6wcIHtRzmKZpzZI2NWkX99-bdQXBg6eEzDPPDHkJOWdwxQDK68igWLAMeJ6ByEFk8oDMmCzTBQo4JDMAlmdciOKYnMS4BoBlKWFGNqvPwflg-5ZuMFisrLPjljY-0M6H4d0731qNjmJf048Jv6tjQDtGanva4ziFVI3G1G4nSao2vXfYt562JnSDw9hR39AXP43v9H5aY8DxlBw16KI5-znn5O1u9Xr7kD093z_e3jxlOu06ZpxjVaIGVstGFris2VJUNUeda2EqMChBApey1iXyRWFEg3VVCy1FWTVV0Yg5udx7h-A_JhNH1dmojXPYGz9FJVhCyyJfyIRe_EHXfgp92i5RaUii-CJRfE_p4GMMplFDsB2GrWKgdlGofRQqRaG-o1A7tdg3xWH30yb8qv_p-gKG0I7K</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3102576428</pqid></control><display><type>article</type><title>Exploring variability for morphological and quality traits in natural seedling origin mango germplasm of South Gujarat</title><source>Springer Nature</source><creator>Patel, Nikita ; Tandel, Y. N. ; Chauhan, D. A. ; Patel, A. I.</creator><creatorcontrib>Patel, Nikita ; Tandel, Y. N. ; Chauhan, D. A. ; Patel, A. I.</creatorcontrib><description>In order to determine the diversity in local seedling origin mango genotypes from different five districts (Navsari, Valsad, Dang, Tapi and Surat) of South Gujarat region during 2021–2023, which have been found in orchards or backyards by using IPGRI mango descriptor. The exploration of genetic resources was carried out to find alternative genotype against prevailing varieties in the state and it sustain mango production in future. A total of 113 mango seedlings were identified and characterized on basis of 7 qualitative, 12 quantitative and 6 biochemical parameters using Completely Randomized Design with three replications of quantitative characteristics. High variation among genotypes was observed with respect qualitative, quantitative and biochemical parameters. Ten superior genotypes were identified based on five commercially important traits viz ., fruit weight (&gt; 200 g), pulp percentage (&gt; 60.00%), TSS (&gt; 20 °Brix), shelf life (&gt; 7 days) and overall acceptability (&gt; 7 point). The genetic variability revealed that higher heritability coupled with higher genetic advance as per cent of mean for 12 quantitative characteristics namely mature fruit weight, fruit length, fruit width, pulp weight, peel weight, stone weight, TSS, acidity, ascorbic acid, total sugars, reducing sugars and non-reducing sugars. The First three Principal component contributed 70.21% of total variation and characters such as mature fruit weight, fruit length, fruit width, pulp weight, peel weight and stone weight most contributing towards diversity in germplasm. Hierarchical cluster analysis resulted the genotypes was grouped into three clusters and genotypes present in cluster III (20) and cluster I (39) had found most divers from each other.</description><identifier>ISSN: 0014-2336</identifier><identifier>EISSN: 1573-5060</identifier><identifier>DOI: 10.1007/s10681-024-03403-5</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Acidity ; Ascorbic acid ; Biomedical and Life Sciences ; Biotechnology ; Brix value ; Cluster analysis ; fruit weight ; Fruits ; genetic improvement ; Genetic resources ; Genetic variability ; genetic variation ; genotype ; Genotypes ; Germplasm ; Heritability ; India ; Life Sciences ; Mangoes ; Parameter identification ; Plant Genetics and Genomics ; Plant Pathology ; Plant Physiology ; Plant Sciences ; Pulp ; Qualitative analysis ; Seedlings ; Shelf life ; Sugar ; Weight</subject><ispartof>Euphytica, 2024-10, Vol.220 (10), p.151-151, Article 151</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c233t-22ab7ac01d5f56a9d193bd2ac4c3eb0ea5050255dc7a286e3fadbd3c537bfb6f3</cites><orcidid>0000-0001-6080-8050</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Patel, Nikita</creatorcontrib><creatorcontrib>Tandel, Y. N.</creatorcontrib><creatorcontrib>Chauhan, D. A.</creatorcontrib><creatorcontrib>Patel, A. I.</creatorcontrib><title>Exploring variability for morphological and quality traits in natural seedling origin mango germplasm of South Gujarat</title><title>Euphytica</title><addtitle>Euphytica</addtitle><description>In order to determine the diversity in local seedling origin mango genotypes from different five districts (Navsari, Valsad, Dang, Tapi and Surat) of South Gujarat region during 2021–2023, which have been found in orchards or backyards by using IPGRI mango descriptor. The exploration of genetic resources was carried out to find alternative genotype against prevailing varieties in the state and it sustain mango production in future. A total of 113 mango seedlings were identified and characterized on basis of 7 qualitative, 12 quantitative and 6 biochemical parameters using Completely Randomized Design with three replications of quantitative characteristics. High variation among genotypes was observed with respect qualitative, quantitative and biochemical parameters. Ten superior genotypes were identified based on five commercially important traits viz ., fruit weight (&gt; 200 g), pulp percentage (&gt; 60.00%), TSS (&gt; 20 °Brix), shelf life (&gt; 7 days) and overall acceptability (&gt; 7 point). The genetic variability revealed that higher heritability coupled with higher genetic advance as per cent of mean for 12 quantitative characteristics namely mature fruit weight, fruit length, fruit width, pulp weight, peel weight, stone weight, TSS, acidity, ascorbic acid, total sugars, reducing sugars and non-reducing sugars. The First three Principal component contributed 70.21% of total variation and characters such as mature fruit weight, fruit length, fruit width, pulp weight, peel weight and stone weight most contributing towards diversity in germplasm. Hierarchical cluster analysis resulted the genotypes was grouped into three clusters and genotypes present in cluster III (20) and cluster I (39) had found most divers from each other.</description><subject>Acidity</subject><subject>Ascorbic acid</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Brix value</subject><subject>Cluster analysis</subject><subject>fruit weight</subject><subject>Fruits</subject><subject>genetic improvement</subject><subject>Genetic resources</subject><subject>Genetic variability</subject><subject>genetic variation</subject><subject>genotype</subject><subject>Genotypes</subject><subject>Germplasm</subject><subject>Heritability</subject><subject>India</subject><subject>Life Sciences</subject><subject>Mangoes</subject><subject>Parameter identification</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Pathology</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Pulp</subject><subject>Qualitative analysis</subject><subject>Seedlings</subject><subject>Shelf life</subject><subject>Sugar</subject><subject>Weight</subject><issn>0014-2336</issn><issn>1573-5060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kU1LxDAQhoMouK7-AU8BL16qk6Rpd48i6wcIHtRzmKZpzZI2NWkX99-bdQXBg6eEzDPPDHkJOWdwxQDK68igWLAMeJ6ByEFk8oDMmCzTBQo4JDMAlmdciOKYnMS4BoBlKWFGNqvPwflg-5ZuMFisrLPjljY-0M6H4d0731qNjmJf048Jv6tjQDtGanva4ziFVI3G1G4nSao2vXfYt562JnSDw9hR39AXP43v9H5aY8DxlBw16KI5-znn5O1u9Xr7kD093z_e3jxlOu06ZpxjVaIGVstGFris2VJUNUeda2EqMChBApey1iXyRWFEg3VVCy1FWTVV0Yg5udx7h-A_JhNH1dmojXPYGz9FJVhCyyJfyIRe_EHXfgp92i5RaUii-CJRfE_p4GMMplFDsB2GrWKgdlGofRQqRaG-o1A7tdg3xWH30yb8qv_p-gKG0I7K</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Patel, Nikita</creator><creator>Tandel, Y. N.</creator><creator>Chauhan, D. A.</creator><creator>Patel, A. I.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7TM</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-6080-8050</orcidid></search><sort><creationdate>20241001</creationdate><title>Exploring variability for morphological and quality traits in natural seedling origin mango germplasm of South Gujarat</title><author>Patel, Nikita ; Tandel, Y. N. ; Chauhan, D. A. ; Patel, A. I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c233t-22ab7ac01d5f56a9d193bd2ac4c3eb0ea5050255dc7a286e3fadbd3c537bfb6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Acidity</topic><topic>Ascorbic acid</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Brix value</topic><topic>Cluster analysis</topic><topic>fruit weight</topic><topic>Fruits</topic><topic>genetic improvement</topic><topic>Genetic resources</topic><topic>Genetic variability</topic><topic>genetic variation</topic><topic>genotype</topic><topic>Genotypes</topic><topic>Germplasm</topic><topic>Heritability</topic><topic>India</topic><topic>Life Sciences</topic><topic>Mangoes</topic><topic>Parameter identification</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Pathology</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Pulp</topic><topic>Qualitative analysis</topic><topic>Seedlings</topic><topic>Shelf life</topic><topic>Sugar</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patel, Nikita</creatorcontrib><creatorcontrib>Tandel, Y. N.</creatorcontrib><creatorcontrib>Chauhan, D. A.</creatorcontrib><creatorcontrib>Patel, A. I.</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Euphytica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patel, Nikita</au><au>Tandel, Y. N.</au><au>Chauhan, D. A.</au><au>Patel, A. I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring variability for morphological and quality traits in natural seedling origin mango germplasm of South Gujarat</atitle><jtitle>Euphytica</jtitle><stitle>Euphytica</stitle><date>2024-10-01</date><risdate>2024</risdate><volume>220</volume><issue>10</issue><spage>151</spage><epage>151</epage><pages>151-151</pages><artnum>151</artnum><issn>0014-2336</issn><eissn>1573-5060</eissn><abstract>In order to determine the diversity in local seedling origin mango genotypes from different five districts (Navsari, Valsad, Dang, Tapi and Surat) of South Gujarat region during 2021–2023, which have been found in orchards or backyards by using IPGRI mango descriptor. The exploration of genetic resources was carried out to find alternative genotype against prevailing varieties in the state and it sustain mango production in future. A total of 113 mango seedlings were identified and characterized on basis of 7 qualitative, 12 quantitative and 6 biochemical parameters using Completely Randomized Design with three replications of quantitative characteristics. High variation among genotypes was observed with respect qualitative, quantitative and biochemical parameters. Ten superior genotypes were identified based on five commercially important traits viz ., fruit weight (&gt; 200 g), pulp percentage (&gt; 60.00%), TSS (&gt; 20 °Brix), shelf life (&gt; 7 days) and overall acceptability (&gt; 7 point). The genetic variability revealed that higher heritability coupled with higher genetic advance as per cent of mean for 12 quantitative characteristics namely mature fruit weight, fruit length, fruit width, pulp weight, peel weight, stone weight, TSS, acidity, ascorbic acid, total sugars, reducing sugars and non-reducing sugars. The First three Principal component contributed 70.21% of total variation and characters such as mature fruit weight, fruit length, fruit width, pulp weight, peel weight and stone weight most contributing towards diversity in germplasm. Hierarchical cluster analysis resulted the genotypes was grouped into three clusters and genotypes present in cluster III (20) and cluster I (39) had found most divers from each other.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10681-024-03403-5</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-6080-8050</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0014-2336
ispartof Euphytica, 2024-10, Vol.220 (10), p.151-151, Article 151
issn 0014-2336
1573-5060
language eng
recordid cdi_proquest_journals_3102576428
source Springer Nature
subjects Acidity
Ascorbic acid
Biomedical and Life Sciences
Biotechnology
Brix value
Cluster analysis
fruit weight
Fruits
genetic improvement
Genetic resources
Genetic variability
genetic variation
genotype
Genotypes
Germplasm
Heritability
India
Life Sciences
Mangoes
Parameter identification
Plant Genetics and Genomics
Plant Pathology
Plant Physiology
Plant Sciences
Pulp
Qualitative analysis
Seedlings
Shelf life
Sugar
Weight
title Exploring variability for morphological and quality traits in natural seedling origin mango germplasm of South Gujarat
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T13%3A13%3A14IST&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=Exploring%20variability%20for%20morphological%20and%20quality%20traits%20in%20natural%20seedling%20origin%20mango%20germplasm%20of%20South%20Gujarat&rft.jtitle=Euphytica&rft.au=Patel,%20Nikita&rft.date=2024-10-01&rft.volume=220&rft.issue=10&rft.spage=151&rft.epage=151&rft.pages=151-151&rft.artnum=151&rft.issn=0014-2336&rft.eissn=1573-5060&rft_id=info:doi/10.1007/s10681-024-03403-5&rft_dat=%3Cproquest_cross%3E3102576428%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c233t-22ab7ac01d5f56a9d193bd2ac4c3eb0ea5050255dc7a286e3fadbd3c537bfb6f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3102576428&rft_id=info:pmid/&rfr_iscdi=true