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GGE biplot analysis of promising barley lines in the cold regions of Iran
In multi-environment trials (METs), the study of genotype × environment (GE) interaction is important for identifying high-yielding and stable or specifically adapted genotypes. The main objective of this study was to evaluate the GE interaction via GGE biplot analysis using some promising barley (H...
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Published in: | Journal of crop improvement 2022-07, Vol.36 (4), p.461-472 |
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creator | Ghazvini, Habibollah Bagherikia, Saeed Pour-Aboughadareh, Alireza Sharifalhossaini, Mohammad Razavi, Sayed Alireza Mohammadi, Solaiman GhasemiKalkhoran, Marefat Fathihafshejani, Asadollah Khakizade, Gholamreza |
description | In multi-environment trials (METs), the study of genotype × environment (GE) interaction is important for identifying high-yielding and stable or specifically adapted genotypes. The main objective of this study was to evaluate the GE interaction via GGE biplot analysis using some promising barley (Hordeum vulgare L.) lines evaluated in an MET to identify genotypes possessing high yield and yield stability in the cold regions of Iran. Eighteen promising barley lines, along with two check cultivars, were evaluated during two consecutive cropping seasons (2016-17 and 2017-18) at six research stations located in different regions of the cold zone. The results demonstrated that G1, G2, G4, and G8 were among those with high-yield and stable performance across environments. Moreover, GGE biplot analysis identified these genotypes along with G19 and G20 as the most ideal genotypes. Of these, G8 and G20 showed the highest yield performance. Genotype G15 (Germunk3) was specifically adapted for some regions such as Hamadan province. On the other hand, genotype G8 (Makouee/Jolgeh) had general adaptability across different environments and can be recommended as a new barley genotype for cultivation in most cold regions of Iran. |
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The main objective of this study was to evaluate the GE interaction via GGE biplot analysis using some promising barley (Hordeum vulgare L.) lines evaluated in an MET to identify genotypes possessing high yield and yield stability in the cold regions of Iran. Eighteen promising barley lines, along with two check cultivars, were evaluated during two consecutive cropping seasons (2016-17 and 2017-18) at six research stations located in different regions of the cold zone. The results demonstrated that G1, G2, G4, and G8 were among those with high-yield and stable performance across environments. Moreover, GGE biplot analysis identified these genotypes along with G19 and G20 as the most ideal genotypes. Of these, G8 and G20 showed the highest yield performance. Genotype G15 (Germunk3) was specifically adapted for some regions such as Hamadan province. On the other hand, genotype G8 (Makouee/Jolgeh) had general adaptability across different environments and can be recommended as a new barley genotype for cultivation in most cold regions of Iran.</description><identifier>ISSN: 1542-7528</identifier><identifier>EISSN: 1542-7536</identifier><identifier>DOI: 10.1080/15427528.2021.1977448</identifier><language>eng</language><publisher>Philadelphia: Taylor & Francis</publisher><subject>Adaptability ; Barley ; Cold ; Cold regions ; Cultivars ; Genotype & phenotype ; Genotypes ; GGE biplot ; Hordeum vulgare ; ideal cultivar ; multi-environment trials ; stability ; Yield</subject><ispartof>Journal of crop improvement, 2022-07, Vol.36 (4), p.461-472</ispartof><rights>2021 Informa UK Limited, trading as Taylor & Francis Group 2021</rights><rights>2021 Informa UK Limited, trading as Taylor & Francis Group</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c338t-8f81e66dd32c2e11f72dde20f96ccb90ef71497b0275cb3f9c8861303b9bb21a3</citedby><cites>FETCH-LOGICAL-c338t-8f81e66dd32c2e11f72dde20f96ccb90ef71497b0275cb3f9c8861303b9bb21a3</cites><orcidid>0000-0002-0840-5585 ; 0000-0001-8917-7942 ; 0000-0002-7708-6688 ; 0000-0001-8832-8606 ; 0000-0002-1974-2878 ; 0000-0002-9987-0609 ; 0000-0001-5782-5327</orcidid></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>Ghazvini, Habibollah</creatorcontrib><creatorcontrib>Bagherikia, Saeed</creatorcontrib><creatorcontrib>Pour-Aboughadareh, Alireza</creatorcontrib><creatorcontrib>Sharifalhossaini, Mohammad</creatorcontrib><creatorcontrib>Razavi, Sayed Alireza</creatorcontrib><creatorcontrib>Mohammadi, Solaiman</creatorcontrib><creatorcontrib>GhasemiKalkhoran, Marefat</creatorcontrib><creatorcontrib>Fathihafshejani, Asadollah</creatorcontrib><creatorcontrib>Khakizade, Gholamreza</creatorcontrib><title>GGE biplot analysis of promising barley lines in the cold regions of Iran</title><title>Journal of crop improvement</title><description>In multi-environment trials (METs), the study of genotype × environment (GE) interaction is important for identifying high-yielding and stable or specifically adapted genotypes. The main objective of this study was to evaluate the GE interaction via GGE biplot analysis using some promising barley (Hordeum vulgare L.) lines evaluated in an MET to identify genotypes possessing high yield and yield stability in the cold regions of Iran. Eighteen promising barley lines, along with two check cultivars, were evaluated during two consecutive cropping seasons (2016-17 and 2017-18) at six research stations located in different regions of the cold zone. The results demonstrated that G1, G2, G4, and G8 were among those with high-yield and stable performance across environments. Moreover, GGE biplot analysis identified these genotypes along with G19 and G20 as the most ideal genotypes. Of these, G8 and G20 showed the highest yield performance. Genotype G15 (Germunk3) was specifically adapted for some regions such as Hamadan province. On the other hand, genotype G8 (Makouee/Jolgeh) had general adaptability across different environments and can be recommended as a new barley genotype for cultivation in most cold regions of Iran.</description><subject>Adaptability</subject><subject>Barley</subject><subject>Cold</subject><subject>Cold regions</subject><subject>Cultivars</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>GGE biplot</subject><subject>Hordeum vulgare</subject><subject>ideal cultivar</subject><subject>multi-environment trials</subject><subject>stability</subject><subject>Yield</subject><issn>1542-7528</issn><issn>1542-7536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kM1KAzEUhYMoWKuPIARcT83PTJLZKUVroeBG1yHJJDUlTWoyRebtndrq0tW9XM453PMBcIvRDCOB7nFTE94QMSOI4BluOa9rcQYmh3vFG8rO_3YiLsFVKRuECCNUTMBysXiC2u9C6qGKKgzFF5gc3OW09cXHNdQqBzvA4KMt0EfYf1hoUuhgtmuf4o96mVW8BhdOhWJvTnMK3p-f3uYv1ep1sZw_ripDqegr4QS2jHUdJYZYjB0nXWcJci0zRrfIOo7rlms0VjKautYIwTBFVLdaE6zoFNwdc8cXP_e29HKT9nl8vUjCeI1rzBs-qpqjyuRUSrZO7rLfqjxIjOSBmvylJg_U5Ina6Hs4-nx0KW_VV8qhk70aQspubGl8kfT_iG90DXK0</recordid><startdate>20220704</startdate><enddate>20220704</enddate><creator>Ghazvini, Habibollah</creator><creator>Bagherikia, Saeed</creator><creator>Pour-Aboughadareh, Alireza</creator><creator>Sharifalhossaini, Mohammad</creator><creator>Razavi, Sayed Alireza</creator><creator>Mohammadi, Solaiman</creator><creator>GhasemiKalkhoran, Marefat</creator><creator>Fathihafshejani, Asadollah</creator><creator>Khakizade, Gholamreza</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-0840-5585</orcidid><orcidid>https://orcid.org/0000-0001-8917-7942</orcidid><orcidid>https://orcid.org/0000-0002-7708-6688</orcidid><orcidid>https://orcid.org/0000-0001-8832-8606</orcidid><orcidid>https://orcid.org/0000-0002-1974-2878</orcidid><orcidid>https://orcid.org/0000-0002-9987-0609</orcidid><orcidid>https://orcid.org/0000-0001-5782-5327</orcidid></search><sort><creationdate>20220704</creationdate><title>GGE biplot analysis of promising barley lines in the cold regions of Iran</title><author>Ghazvini, Habibollah ; Bagherikia, Saeed ; Pour-Aboughadareh, Alireza ; Sharifalhossaini, Mohammad ; Razavi, Sayed Alireza ; Mohammadi, Solaiman ; GhasemiKalkhoran, Marefat ; Fathihafshejani, Asadollah ; Khakizade, Gholamreza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-8f81e66dd32c2e11f72dde20f96ccb90ef71497b0275cb3f9c8861303b9bb21a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adaptability</topic><topic>Barley</topic><topic>Cold</topic><topic>Cold regions</topic><topic>Cultivars</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>GGE biplot</topic><topic>Hordeum vulgare</topic><topic>ideal cultivar</topic><topic>multi-environment trials</topic><topic>stability</topic><topic>Yield</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghazvini, Habibollah</creatorcontrib><creatorcontrib>Bagherikia, Saeed</creatorcontrib><creatorcontrib>Pour-Aboughadareh, Alireza</creatorcontrib><creatorcontrib>Sharifalhossaini, Mohammad</creatorcontrib><creatorcontrib>Razavi, Sayed Alireza</creatorcontrib><creatorcontrib>Mohammadi, Solaiman</creatorcontrib><creatorcontrib>GhasemiKalkhoran, Marefat</creatorcontrib><creatorcontrib>Fathihafshejani, Asadollah</creatorcontrib><creatorcontrib>Khakizade, Gholamreza</creatorcontrib><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Journal of crop improvement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghazvini, Habibollah</au><au>Bagherikia, Saeed</au><au>Pour-Aboughadareh, Alireza</au><au>Sharifalhossaini, Mohammad</au><au>Razavi, Sayed Alireza</au><au>Mohammadi, Solaiman</au><au>GhasemiKalkhoran, Marefat</au><au>Fathihafshejani, Asadollah</au><au>Khakizade, Gholamreza</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GGE biplot analysis of promising barley lines in the cold regions of Iran</atitle><jtitle>Journal of crop improvement</jtitle><date>2022-07-04</date><risdate>2022</risdate><volume>36</volume><issue>4</issue><spage>461</spage><epage>472</epage><pages>461-472</pages><issn>1542-7528</issn><eissn>1542-7536</eissn><abstract>In multi-environment trials (METs), the study of genotype × environment (GE) interaction is important for identifying high-yielding and stable or specifically adapted genotypes. 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subjects | Adaptability Barley Cold Cold regions Cultivars Genotype & phenotype Genotypes GGE biplot Hordeum vulgare ideal cultivar multi-environment trials stability Yield |
title | GGE biplot analysis of promising barley lines in the cold regions of Iran |
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