Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers
Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wil...
Ausführliche Beschreibung
Autor*in: |
Amna Jamil [verfasserIn] Kashif Razzaq [verfasserIn] Ishtiaq Ahmad Rajwana [verfasserIn] Ambreen Naz [verfasserIn] Gulzar Akhtar [verfasserIn] Sami Ullah [verfasserIn] Hafiz Nazar Faried [verfasserIn] Syed Bilal Hussain [verfasserIn] Yunzhou Li [verfasserIn] Muhammad Amin [verfasserIn] Muhammad Ali Sher [verfasserIn] Muhammad Tanveer Altaf [verfasserIn] Hamad Hassan [verfasserIn] Mohamed A.A. Ahmed [verfasserIn] Saleh Alfarraj [verfasserIn] Mohammad Javed Ansari [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Übergeordnetes Werk: |
In: Journal of King Saud University: Science - Elsevier, 2016, 34(2022), 7, Seite 102237- |
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Übergeordnetes Werk: |
volume:34 ; year:2022 ; number:7 ; pages:102237- |
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DOI / URN: |
10.1016/j.jksus.2022.102237 |
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Katalog-ID: |
DOAJ078867916 |
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520 | |a Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. | ||
650 | 4 | |a Grewia subinequalis | |
650 | 4 | |a Morphological traits | |
650 | 4 | |a Genetic diversity | |
650 | 4 | |a ISSR markers | |
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653 | 0 | |a Science (General) | |
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700 | 0 | |a Mohamed A.A. Ahmed |e verfasserin |4 aut | |
700 | 0 | |a Saleh Alfarraj |e verfasserin |4 aut | |
700 | 0 | |a Mohammad Javed Ansari |e verfasserin |4 aut | |
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10.1016/j.jksus.2022.102237 doi (DE-627)DOAJ078867916 (DE-599)DOAJ677fcde4c6d84a86ae2db594424167be DE-627 ger DE-627 rakwb eng Q1-390 Amna Jamil verfasserin aut Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. Grewia subinequalis Morphological traits Genetic diversity ISSR markers Cluster analysis Science (General) Kashif Razzaq verfasserin aut Ishtiaq Ahmad Rajwana verfasserin aut Ambreen Naz verfasserin aut Gulzar Akhtar verfasserin aut Sami Ullah verfasserin aut Hafiz Nazar Faried verfasserin aut Syed Bilal Hussain verfasserin aut Yunzhou Li verfasserin aut Muhammad Amin verfasserin aut Muhammad Ali Sher verfasserin aut Muhammad Tanveer Altaf verfasserin aut Hamad Hassan verfasserin aut Mohamed A.A. Ahmed verfasserin aut Saleh Alfarraj verfasserin aut Mohammad Javed Ansari verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 34(2022), 7, Seite 102237- (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:34 year:2022 number:7 pages:102237- https://doi.org/10.1016/j.jksus.2022.102237 kostenfrei https://doaj.org/article/677fcde4c6d84a86ae2db594424167be kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364722004189 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 7 102237- |
spelling |
10.1016/j.jksus.2022.102237 doi (DE-627)DOAJ078867916 (DE-599)DOAJ677fcde4c6d84a86ae2db594424167be DE-627 ger DE-627 rakwb eng Q1-390 Amna Jamil verfasserin aut Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. Grewia subinequalis Morphological traits Genetic diversity ISSR markers Cluster analysis Science (General) Kashif Razzaq verfasserin aut Ishtiaq Ahmad Rajwana verfasserin aut Ambreen Naz verfasserin aut Gulzar Akhtar verfasserin aut Sami Ullah verfasserin aut Hafiz Nazar Faried verfasserin aut Syed Bilal Hussain verfasserin aut Yunzhou Li verfasserin aut Muhammad Amin verfasserin aut Muhammad Ali Sher verfasserin aut Muhammad Tanveer Altaf verfasserin aut Hamad Hassan verfasserin aut Mohamed A.A. Ahmed verfasserin aut Saleh Alfarraj verfasserin aut Mohammad Javed Ansari verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 34(2022), 7, Seite 102237- (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:34 year:2022 number:7 pages:102237- https://doi.org/10.1016/j.jksus.2022.102237 kostenfrei https://doaj.org/article/677fcde4c6d84a86ae2db594424167be kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364722004189 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 7 102237- |
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10.1016/j.jksus.2022.102237 doi (DE-627)DOAJ078867916 (DE-599)DOAJ677fcde4c6d84a86ae2db594424167be DE-627 ger DE-627 rakwb eng Q1-390 Amna Jamil verfasserin aut Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. Grewia subinequalis Morphological traits Genetic diversity ISSR markers Cluster analysis Science (General) Kashif Razzaq verfasserin aut Ishtiaq Ahmad Rajwana verfasserin aut Ambreen Naz verfasserin aut Gulzar Akhtar verfasserin aut Sami Ullah verfasserin aut Hafiz Nazar Faried verfasserin aut Syed Bilal Hussain verfasserin aut Yunzhou Li verfasserin aut Muhammad Amin verfasserin aut Muhammad Ali Sher verfasserin aut Muhammad Tanveer Altaf verfasserin aut Hamad Hassan verfasserin aut Mohamed A.A. Ahmed verfasserin aut Saleh Alfarraj verfasserin aut Mohammad Javed Ansari verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 34(2022), 7, Seite 102237- (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:34 year:2022 number:7 pages:102237- https://doi.org/10.1016/j.jksus.2022.102237 kostenfrei https://doaj.org/article/677fcde4c6d84a86ae2db594424167be kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364722004189 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 7 102237- |
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10.1016/j.jksus.2022.102237 doi (DE-627)DOAJ078867916 (DE-599)DOAJ677fcde4c6d84a86ae2db594424167be DE-627 ger DE-627 rakwb eng Q1-390 Amna Jamil verfasserin aut Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. Grewia subinequalis Morphological traits Genetic diversity ISSR markers Cluster analysis Science (General) Kashif Razzaq verfasserin aut Ishtiaq Ahmad Rajwana verfasserin aut Ambreen Naz verfasserin aut Gulzar Akhtar verfasserin aut Sami Ullah verfasserin aut Hafiz Nazar Faried verfasserin aut Syed Bilal Hussain verfasserin aut Yunzhou Li verfasserin aut Muhammad Amin verfasserin aut Muhammad Ali Sher verfasserin aut Muhammad Tanveer Altaf verfasserin aut Hamad Hassan verfasserin aut Mohamed A.A. Ahmed verfasserin aut Saleh Alfarraj verfasserin aut Mohammad Javed Ansari verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 34(2022), 7, Seite 102237- (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:34 year:2022 number:7 pages:102237- https://doi.org/10.1016/j.jksus.2022.102237 kostenfrei https://doaj.org/article/677fcde4c6d84a86ae2db594424167be kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364722004189 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 7 102237- |
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10.1016/j.jksus.2022.102237 doi (DE-627)DOAJ078867916 (DE-599)DOAJ677fcde4c6d84a86ae2db594424167be DE-627 ger DE-627 rakwb eng Q1-390 Amna Jamil verfasserin aut Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. Grewia subinequalis Morphological traits Genetic diversity ISSR markers Cluster analysis Science (General) Kashif Razzaq verfasserin aut Ishtiaq Ahmad Rajwana verfasserin aut Ambreen Naz verfasserin aut Gulzar Akhtar verfasserin aut Sami Ullah verfasserin aut Hafiz Nazar Faried verfasserin aut Syed Bilal Hussain verfasserin aut Yunzhou Li verfasserin aut Muhammad Amin verfasserin aut Muhammad Ali Sher verfasserin aut Muhammad Tanveer Altaf verfasserin aut Hamad Hassan verfasserin aut Mohamed A.A. Ahmed verfasserin aut Saleh Alfarraj verfasserin aut Mohammad Javed Ansari verfasserin aut In Journal of King Saud University: Science Elsevier, 2016 34(2022), 7, Seite 102237- (DE-627)608942790 (DE-600)2514731-6 10183647 nnns volume:34 year:2022 number:7 pages:102237- https://doi.org/10.1016/j.jksus.2022.102237 kostenfrei https://doaj.org/article/677fcde4c6d84a86ae2db594424167be kostenfrei http://www.sciencedirect.com/science/article/pii/S1018364722004189 kostenfrei https://doaj.org/toc/1018-3647 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 7 102237- |
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Q1-390 Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers Grewia subinequalis Morphological traits Genetic diversity ISSR markers Cluster analysis |
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Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers |
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Amna Jamil Kashif Razzaq Ishtiaq Ahmad Rajwana Ambreen Naz Gulzar Akhtar Sami Ullah Hafiz Nazar Faried Syed Bilal Hussain Yunzhou Li Muhammad Amin Muhammad Ali Sher Muhammad Tanveer Altaf Hamad Hassan Mohamed A.A. Ahmed Saleh Alfarraj Mohammad Javed Ansari |
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characterization of indigenous phalsa (grewia subinequalis) genotypes using morphological traits and issr markers |
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Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers |
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Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. |
abstractGer |
Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. |
abstract_unstemmed |
Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs. |
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Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ078867916</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230501203626.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230307s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jksus.2022.102237</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ078867916</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ677fcde4c6d84a86ae2db594424167be</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">Q1-390</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Amna Jamil</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Characterization of indigenous phalsa (Grewia subinequalis) genotypes using morphological traits and ISSR markers</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: Phalsa (Grewia subinequalis L.) is a commercial and nutritionally important berry fruit. It is cultivated in Pakistan as a minor fruit crop without any variety characterization. Therefore, the objective of to assess genetic diversity through ISSR markers and morphological features of wild phalsa genotypes collected from different parts of Punjab, Pakistan. Methods: Morphological characteristics such as plant height, stem circumference, growth habit, leaf length, leaf width, leaf area, leaf color and leaf apex shape showed high variation among genotypes. Results: Among the twenty inter-simple sequence repeats (ISSR) primers, UBC-812 exhibited the highest PIC values of (0.485) and Dj (0.389) compared to other primers, which considered it better for the identification of phalsa genotypes and prediction of diversity. Moreover, the unweighted pair group method with arithmetic mean cluster analysis divided the sampled genotypes into five clusters (clusters A-E) based on morphological analysis, while molecular data divided the genotypes into eight clusters (clusters A-H). Conclusion: This study confirmed the high diversity in wild populations especially 'O1P2” and “O7P3” genotypes, with both DNA-based and morphological descriptors that depict their potential use for future phalsa breeding programs.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Grewia subinequalis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Morphological traits</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Genetic diversity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ISSR markers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cluster analysis</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Science (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kashif Razzaq</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ishtiaq Ahmad Rajwana</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ambreen Naz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Gulzar Akhtar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sami Ullah</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hafiz Nazar Faried</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Syed Bilal Hussain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yunzhou Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Muhammad Amin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Muhammad Ali Sher</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Muhammad Tanveer Altaf</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hamad Hassan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohamed A.A. 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