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Assessment of phenotypic and molecular diversity in soybean [Glycine max (L.) Merr.] germplasm using morpho-biochemical attributes and SSR markers
Soybean is a high-nutritional crop that provides a sustainable source of dietary protein and edible oil for human consumption and animal diet. In this investigation, we evaluated 56 test entries and three commercial checks for yield and quality characters for two consecutive seasons (2017–2018), whe...
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Published in: | Genetic resources and crop evolution 2021-10, Vol.68 (7), p.2827-2847 |
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description | Soybean is a high-nutritional crop that provides a sustainable source of dietary protein and edible oil for human consumption and animal diet. In this investigation, we evaluated 56 test entries and three commercial checks for yield and quality characters for two consecutive seasons (2017–2018), whereas molecular diversity among the tested genotypes was also estimated through simple sequence repeat (SSR). Results revealed significant variation among tested entries for all measured traits. The principal component analysis (PCA) resulted in three significant components, which accounted for 72.05% of the total variation. The first two PCs were mainly characterized by seed yield plant
−1
, 100-seed weight, plant height, number of filled pods and oil content, whereas the essential genotypes that contributed significantly to the phenotypic variability were K-D, Jhunghwang and 24598. The genotypic (
rg
) and phenotypic (
rp
) correlation of seed yield with protein and oil contents were non-significant, whereas a negative association was found between protein content and oil content. Out of 30 SSR-loci, 28 were polymorphic and detected a total of 65 alleles with average value of 2.32 alleles per locus. The polymorphic information contents (PIC) ranged from 0.12 to 0.58 with an average of 0.37, indicating a moderate level of genetic diversity exhibited by the assessed germplasm. In addition, structural analysis and principal coordinate analysis delineated two major sub-populations, representing two diverse gene pools in soybean collection. The neighbor-joining tree inferred five clusters based on their genetic resemblance and geographic origin. Thus, the use of substantial genetic diversity confirmed in the present study will enable soybean breeders to select diverse parents to develop high-yielding varieties with improved quality traits. |
doi_str_mv | 10.1007/s10722-021-01157-w |
format | article |
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−1
, 100-seed weight, plant height, number of filled pods and oil content, whereas the essential genotypes that contributed significantly to the phenotypic variability were K-D, Jhunghwang and 24598. The genotypic (
rg
) and phenotypic (
rp
) correlation of seed yield with protein and oil contents were non-significant, whereas a negative association was found between protein content and oil content. Out of 30 SSR-loci, 28 were polymorphic and detected a total of 65 alleles with average value of 2.32 alleles per locus. The polymorphic information contents (PIC) ranged from 0.12 to 0.58 with an average of 0.37, indicating a moderate level of genetic diversity exhibited by the assessed germplasm. In addition, structural analysis and principal coordinate analysis delineated two major sub-populations, representing two diverse gene pools in soybean collection. The neighbor-joining tree inferred five clusters based on their genetic resemblance and geographic origin. Thus, the use of substantial genetic diversity confirmed in the present study will enable soybean breeders to select diverse parents to develop high-yielding varieties with improved quality traits.</description><identifier>ISSN: 0925-9864</identifier><identifier>EISSN: 1573-5109</identifier><identifier>DOI: 10.1007/s10722-021-01157-w</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Alleles ; Biomedical and Life Sciences ; Crop yield ; Edible oils ; Genetic diversity ; Genetic variability ; Genotypes ; Germplasm ; Glycine max ; Life Sciences ; Loci ; Nutrient content ; Plant Genetics and Genomics ; Plant Physiology ; Plant Sciences ; Plant Systematics/Taxonomy/Biogeography ; Principal components analysis ; Protein sources ; Proteins ; Research Article ; Soybeans ; Structural analysis</subject><ispartof>Genetic resources and crop evolution, 2021-10, Vol.68 (7), p.2827-2847</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-375b42f2e618a2391cd89c0df11255ec6b8f8db100b9ecd14fe8a3126d047f913</citedby><cites>FETCH-LOGICAL-c319t-375b42f2e618a2391cd89c0df11255ec6b8f8db100b9ecd14fe8a3126d047f913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ullah, Atta</creatorcontrib><creatorcontrib>Akram, Zahid</creatorcontrib><creatorcontrib>Malik, Saad Imran</creatorcontrib><creatorcontrib>Khan, Khalid Saif Ullah</creatorcontrib><title>Assessment of phenotypic and molecular diversity in soybean [Glycine max (L.) Merr.] germplasm using morpho-biochemical attributes and SSR markers</title><title>Genetic resources and crop evolution</title><addtitle>Genet Resour Crop Evol</addtitle><description>Soybean is a high-nutritional crop that provides a sustainable source of dietary protein and edible oil for human consumption and animal diet. In this investigation, we evaluated 56 test entries and three commercial checks for yield and quality characters for two consecutive seasons (2017–2018), whereas molecular diversity among the tested genotypes was also estimated through simple sequence repeat (SSR). Results revealed significant variation among tested entries for all measured traits. The principal component analysis (PCA) resulted in three significant components, which accounted for 72.05% of the total variation. The first two PCs were mainly characterized by seed yield plant
−1
, 100-seed weight, plant height, number of filled pods and oil content, whereas the essential genotypes that contributed significantly to the phenotypic variability were K-D, Jhunghwang and 24598. The genotypic (
rg
) and phenotypic (
rp
) correlation of seed yield with protein and oil contents were non-significant, whereas a negative association was found between protein content and oil content. Out of 30 SSR-loci, 28 were polymorphic and detected a total of 65 alleles with average value of 2.32 alleles per locus. The polymorphic information contents (PIC) ranged from 0.12 to 0.58 with an average of 0.37, indicating a moderate level of genetic diversity exhibited by the assessed germplasm. In addition, structural analysis and principal coordinate analysis delineated two major sub-populations, representing two diverse gene pools in soybean collection. The neighbor-joining tree inferred five clusters based on their genetic resemblance and geographic origin. Thus, the use of substantial genetic diversity confirmed in the present study will enable soybean breeders to select diverse parents to develop high-yielding varieties with improved quality traits.</description><subject>Agriculture</subject><subject>Alleles</subject><subject>Biomedical and Life Sciences</subject><subject>Crop yield</subject><subject>Edible oils</subject><subject>Genetic diversity</subject><subject>Genetic variability</subject><subject>Genotypes</subject><subject>Germplasm</subject><subject>Glycine max</subject><subject>Life Sciences</subject><subject>Loci</subject><subject>Nutrient content</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Plant Systematics/Taxonomy/Biogeography</subject><subject>Principal components analysis</subject><subject>Protein sources</subject><subject>Proteins</subject><subject>Research Article</subject><subject>Soybeans</subject><subject>Structural analysis</subject><issn>0925-9864</issn><issn>1573-5109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kM1u1DAUhS1EJYbSF2BliQ0sPNjOj-NlVdFSaRBSW1aoshznpuOS2ME3oeQ1-sSYDhK7ru7mnO9cfYS8FXwrOFcfUXAlJeNSMC5EpdjDC7LJt2CV4Pol2XAtK6abunxFXiPec861qpsNeTxFBMQRwkxjT6c9hDivk3fUho6OcQC3DDbRzv-ChH5eqQ8U49qCDfT7xbA6H4CO9jd9v9t-oF8gpe0tvYM0ToPFkS7ow13mpGkfWeuj28PonR2onefk22UGfFq6vr7KlPQjj7whR70dEE7-3WPy7fzTzdlntvt6cXl2umOuEHpmharaUvYSatFYWWjhukY73vVCyKoCV7dN33Rt1tNqcJ0oe2hsIWTd8VL1WhTH5N2BO6X4cwGczX1cUsiTRlZKqkIoXeaUPKRciogJejMlnz9djeDmr3tzcG-ye_Pk3jzkUnEoYQ6HbOM_-pnWH1n2iek</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Ullah, Atta</creator><creator>Akram, Zahid</creator><creator>Malik, Saad Imran</creator><creator>Khan, Khalid Saif Ullah</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</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>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20211001</creationdate><title>Assessment of phenotypic and molecular diversity in soybean [Glycine max (L.) Merr.] germplasm using morpho-biochemical attributes and SSR markers</title><author>Ullah, Atta ; Akram, Zahid ; Malik, Saad Imran ; Khan, Khalid Saif Ullah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-375b42f2e618a2391cd89c0df11255ec6b8f8db100b9ecd14fe8a3126d047f913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agriculture</topic><topic>Alleles</topic><topic>Biomedical and Life Sciences</topic><topic>Crop yield</topic><topic>Edible oils</topic><topic>Genetic diversity</topic><topic>Genetic variability</topic><topic>Genotypes</topic><topic>Germplasm</topic><topic>Glycine max</topic><topic>Life Sciences</topic><topic>Loci</topic><topic>Nutrient content</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Plant Systematics/Taxonomy/Biogeography</topic><topic>Principal components analysis</topic><topic>Protein sources</topic><topic>Proteins</topic><topic>Research Article</topic><topic>Soybeans</topic><topic>Structural analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ullah, Atta</creatorcontrib><creatorcontrib>Akram, Zahid</creatorcontrib><creatorcontrib>Malik, Saad Imran</creatorcontrib><creatorcontrib>Khan, Khalid Saif Ullah</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Genetic resources and crop evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ullah, Atta</au><au>Akram, Zahid</au><au>Malik, Saad Imran</au><au>Khan, Khalid Saif Ullah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of phenotypic and molecular diversity in soybean [Glycine max (L.) Merr.] germplasm using morpho-biochemical attributes and SSR markers</atitle><jtitle>Genetic resources and crop evolution</jtitle><stitle>Genet Resour Crop Evol</stitle><date>2021-10-01</date><risdate>2021</risdate><volume>68</volume><issue>7</issue><spage>2827</spage><epage>2847</epage><pages>2827-2847</pages><issn>0925-9864</issn><eissn>1573-5109</eissn><abstract>Soybean is a high-nutritional crop that provides a sustainable source of dietary protein and edible oil for human consumption and animal diet. In this investigation, we evaluated 56 test entries and three commercial checks for yield and quality characters for two consecutive seasons (2017–2018), whereas molecular diversity among the tested genotypes was also estimated through simple sequence repeat (SSR). Results revealed significant variation among tested entries for all measured traits. The principal component analysis (PCA) resulted in three significant components, which accounted for 72.05% of the total variation. The first two PCs were mainly characterized by seed yield plant
−1
, 100-seed weight, plant height, number of filled pods and oil content, whereas the essential genotypes that contributed significantly to the phenotypic variability were K-D, Jhunghwang and 24598. The genotypic (
rg
) and phenotypic (
rp
) correlation of seed yield with protein and oil contents were non-significant, whereas a negative association was found between protein content and oil content. Out of 30 SSR-loci, 28 were polymorphic and detected a total of 65 alleles with average value of 2.32 alleles per locus. The polymorphic information contents (PIC) ranged from 0.12 to 0.58 with an average of 0.37, indicating a moderate level of genetic diversity exhibited by the assessed germplasm. In addition, structural analysis and principal coordinate analysis delineated two major sub-populations, representing two diverse gene pools in soybean collection. The neighbor-joining tree inferred five clusters based on their genetic resemblance and geographic origin. Thus, the use of substantial genetic diversity confirmed in the present study will enable soybean breeders to select diverse parents to develop high-yielding varieties with improved quality traits.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10722-021-01157-w</doi><tpages>21</tpages></addata></record> |
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subjects | Agriculture Alleles Biomedical and Life Sciences Crop yield Edible oils Genetic diversity Genetic variability Genotypes Germplasm Glycine max Life Sciences Loci Nutrient content Plant Genetics and Genomics Plant Physiology Plant Sciences Plant Systematics/Taxonomy/Biogeography Principal components analysis Protein sources Proteins Research Article Soybeans Structural analysis |
title | Assessment of phenotypic and molecular diversity in soybean [Glycine max (L.) Merr.] germplasm using morpho-biochemical attributes and SSR markers |
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