Assessment of wheat variety adoption in Bangladesh through DNA fingerprinting
Wheat (Triticum aestivum L.) demand in Bangladesh has increased significantly in recent years, becoming the second major staple cereal after rice (Oryza sativa L.). Domestic production of wheat accounts for only 16% of domestic use. More than 30 wheat varieties have been released in the past 30 yr b...
Gespeichert in:
Veröffentlicht in: | Crop science 2021-09, Vol.61 (5), p.3564-3577 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 3577 |
---|---|
container_issue | 5 |
container_start_page | 3564 |
container_title | Crop science |
container_volume | 61 |
creator | Gade, Poornima Alam, M Ashraful Barma, Naresh C.D. Majumder, Rituparna Garapaty, Rijuta Paranjape, Vijay Dattatraya Killian, Andrzej Vijayaraghavan, K. Kabir, Md. Rezaul Hakim, Md. Abdul Islam, Md. Zaherul Hossain, Md. Mahamudul Rahman, Md. Mokhlesur Rahman, Mahbubur Khan, Md. Abul Awlad Islam, Md. Rabiul Hasan, Md. Mahamudul Amin, Md. Forhad Acevedo, Maricelis |
description | Wheat (Triticum aestivum L.) demand in Bangladesh has increased significantly in recent years, becoming the second major staple cereal after rice (Oryza sativa L.). Domestic production of wheat accounts for only 16% of domestic use. More than 30 wheat varieties have been released in the past 30 yr by the Bangladesh Wheat and Maize Research Institute (BWMRI). In the last 10 yr alone, nine varieties with improved yield and disease resistance have been released. Bangladesh and the BWMRI lack the regulatory framework and infrastructure to accurately track the rate of adoption of these new releases. To determine the adoption of these varieties across the country, DNA fingerprinting of wheat samples was conducted across the six wheat growing regions in Bangladesh during the 2018–2019 cropping season. A reference library was established to compare and identify the wheat samples collected from farmers’ fields. Wheat grain samples collected from the fields and breeders’ lines were genotyped using Diversity Arrays Technology sequencing (DArTseq)‐based single nucleotide polymorphism (SNP) markers. Of the 1,791 samples collected from farmers’ fields, 68% were identified as varieties released after 2000 and 32% matched with older varieties. Among the varieties grown, BARI Gom 25 represented 29% of the collected samples followed by 23% of BARI Gom 24 and 16% of BARI Gom 26. These three most common varieties were well distributed across the six regions and have broad adoption.
Core Ideas
High throughput DNA fingerprinting can be efficiently used for assessment of varietal adoption.
68% of samples identified as varieties released after 2000 and 32% matched with older varieties.
Improving management of wheat breeder seed is essential for accurate adoption studies. |
doi_str_mv | 10.1002/csc2.20579 |
format | Article |
fullrecord | <record><control><sourceid>wiley_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1002_csc2_20579</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CSC220579</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3099-9a47955813dba7d0e2d05ab0f9393bd95db63acaf8dccee822b91814819103243</originalsourceid><addsrcrecordid>eNp9kD1PwzAURS0EEqGw8As8I6W8Z8dNPIZAAanAAEhskWM7HyhNKjtQ5d-TEmamd4dzr54OIZcISwRg19prtmQgYnlEAoy4CGEl-DEJABBDTPjHKTnz_hMAYhmLgDyl3lvvt7YbaF_SfW3VQL-Va-wwUmX63dD0HW06eqO6qlXG-poOteu_qprePqe0bLrKup1rumFK5-SkVK23F393Qd7Xd2_ZQ7h5uX_M0k2oOUgZShXFUogEuSlUbMAyA0IVUEoueWGkMMWKK63KxGhtbcJYITHBKEGJwFnEF-Rq3tWu997ZMp8-2Co35gj5QUR-EJH_iphgnOF909rxHzLPXjM2d34ASDlgjg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Assessment of wheat variety adoption in Bangladesh through DNA fingerprinting</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Alma/SFX Local Collection</source><creator>Gade, Poornima ; Alam, M Ashraful ; Barma, Naresh C.D. ; Majumder, Rituparna ; Garapaty, Rijuta ; Paranjape, Vijay Dattatraya ; Killian, Andrzej ; Vijayaraghavan, K. ; Kabir, Md. Rezaul ; Hakim, Md. Abdul ; Islam, Md. Zaherul ; Hossain, Md. Mahamudul ; Rahman, Md. Mokhlesur ; Rahman, Mahbubur ; Khan, Md. Abul Awlad ; Islam, Md. Rabiul ; Hasan, Md. Mahamudul ; Amin, Md. Forhad ; Acevedo, Maricelis</creator><creatorcontrib>Gade, Poornima ; Alam, M Ashraful ; Barma, Naresh C.D. ; Majumder, Rituparna ; Garapaty, Rijuta ; Paranjape, Vijay Dattatraya ; Killian, Andrzej ; Vijayaraghavan, K. ; Kabir, Md. Rezaul ; Hakim, Md. Abdul ; Islam, Md. Zaherul ; Hossain, Md. Mahamudul ; Rahman, Md. Mokhlesur ; Rahman, Mahbubur ; Khan, Md. Abul Awlad ; Islam, Md. Rabiul ; Hasan, Md. Mahamudul ; Amin, Md. Forhad ; Acevedo, Maricelis</creatorcontrib><description>Wheat (Triticum aestivum L.) demand in Bangladesh has increased significantly in recent years, becoming the second major staple cereal after rice (Oryza sativa L.). Domestic production of wheat accounts for only 16% of domestic use. More than 30 wheat varieties have been released in the past 30 yr by the Bangladesh Wheat and Maize Research Institute (BWMRI). In the last 10 yr alone, nine varieties with improved yield and disease resistance have been released. Bangladesh and the BWMRI lack the regulatory framework and infrastructure to accurately track the rate of adoption of these new releases. To determine the adoption of these varieties across the country, DNA fingerprinting of wheat samples was conducted across the six wheat growing regions in Bangladesh during the 2018–2019 cropping season. A reference library was established to compare and identify the wheat samples collected from farmers’ fields. Wheat grain samples collected from the fields and breeders’ lines were genotyped using Diversity Arrays Technology sequencing (DArTseq)‐based single nucleotide polymorphism (SNP) markers. Of the 1,791 samples collected from farmers’ fields, 68% were identified as varieties released after 2000 and 32% matched with older varieties. Among the varieties grown, BARI Gom 25 represented 29% of the collected samples followed by 23% of BARI Gom 24 and 16% of BARI Gom 26. These three most common varieties were well distributed across the six regions and have broad adoption.
Core Ideas
High throughput DNA fingerprinting can be efficiently used for assessment of varietal adoption.
68% of samples identified as varieties released after 2000 and 32% matched with older varieties.
Improving management of wheat breeder seed is essential for accurate adoption studies.</description><identifier>ISSN: 0011-183X</identifier><identifier>EISSN: 1435-0653</identifier><identifier>DOI: 10.1002/csc2.20579</identifier><language>eng</language><ispartof>Crop science, 2021-09, Vol.61 (5), p.3564-3577</ispartof><rights>2021 The Authors. published by Wiley Periodicals LLC on behalf of Crop Science Society of America</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3099-9a47955813dba7d0e2d05ab0f9393bd95db63acaf8dccee822b91814819103243</citedby><cites>FETCH-LOGICAL-c3099-9a47955813dba7d0e2d05ab0f9393bd95db63acaf8dccee822b91814819103243</cites><orcidid>0000-0003-4257-9375</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcsc2.20579$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcsc2.20579$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Gade, Poornima</creatorcontrib><creatorcontrib>Alam, M Ashraful</creatorcontrib><creatorcontrib>Barma, Naresh C.D.</creatorcontrib><creatorcontrib>Majumder, Rituparna</creatorcontrib><creatorcontrib>Garapaty, Rijuta</creatorcontrib><creatorcontrib>Paranjape, Vijay Dattatraya</creatorcontrib><creatorcontrib>Killian, Andrzej</creatorcontrib><creatorcontrib>Vijayaraghavan, K.</creatorcontrib><creatorcontrib>Kabir, Md. Rezaul</creatorcontrib><creatorcontrib>Hakim, Md. Abdul</creatorcontrib><creatorcontrib>Islam, Md. Zaherul</creatorcontrib><creatorcontrib>Hossain, Md. Mahamudul</creatorcontrib><creatorcontrib>Rahman, Md. Mokhlesur</creatorcontrib><creatorcontrib>Rahman, Mahbubur</creatorcontrib><creatorcontrib>Khan, Md. Abul Awlad</creatorcontrib><creatorcontrib>Islam, Md. Rabiul</creatorcontrib><creatorcontrib>Hasan, Md. Mahamudul</creatorcontrib><creatorcontrib>Amin, Md. Forhad</creatorcontrib><creatorcontrib>Acevedo, Maricelis</creatorcontrib><title>Assessment of wheat variety adoption in Bangladesh through DNA fingerprinting</title><title>Crop science</title><description>Wheat (Triticum aestivum L.) demand in Bangladesh has increased significantly in recent years, becoming the second major staple cereal after rice (Oryza sativa L.). Domestic production of wheat accounts for only 16% of domestic use. More than 30 wheat varieties have been released in the past 30 yr by the Bangladesh Wheat and Maize Research Institute (BWMRI). In the last 10 yr alone, nine varieties with improved yield and disease resistance have been released. Bangladesh and the BWMRI lack the regulatory framework and infrastructure to accurately track the rate of adoption of these new releases. To determine the adoption of these varieties across the country, DNA fingerprinting of wheat samples was conducted across the six wheat growing regions in Bangladesh during the 2018–2019 cropping season. A reference library was established to compare and identify the wheat samples collected from farmers’ fields. Wheat grain samples collected from the fields and breeders’ lines were genotyped using Diversity Arrays Technology sequencing (DArTseq)‐based single nucleotide polymorphism (SNP) markers. Of the 1,791 samples collected from farmers’ fields, 68% were identified as varieties released after 2000 and 32% matched with older varieties. Among the varieties grown, BARI Gom 25 represented 29% of the collected samples followed by 23% of BARI Gom 24 and 16% of BARI Gom 26. These three most common varieties were well distributed across the six regions and have broad adoption.
Core Ideas
High throughput DNA fingerprinting can be efficiently used for assessment of varietal adoption.
68% of samples identified as varieties released after 2000 and 32% matched with older varieties.
Improving management of wheat breeder seed is essential for accurate adoption studies.</description><issn>0011-183X</issn><issn>1435-0653</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kD1PwzAURS0EEqGw8As8I6W8Z8dNPIZAAanAAEhskWM7HyhNKjtQ5d-TEmamd4dzr54OIZcISwRg19prtmQgYnlEAoy4CGEl-DEJABBDTPjHKTnz_hMAYhmLgDyl3lvvt7YbaF_SfW3VQL-Va-wwUmX63dD0HW06eqO6qlXG-poOteu_qprePqe0bLrKup1rumFK5-SkVK23F393Qd7Xd2_ZQ7h5uX_M0k2oOUgZShXFUogEuSlUbMAyA0IVUEoueWGkMMWKK63KxGhtbcJYITHBKEGJwFnEF-Rq3tWu997ZMp8-2Co35gj5QUR-EJH_iphgnOF909rxHzLPXjM2d34ASDlgjg</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Gade, Poornima</creator><creator>Alam, M Ashraful</creator><creator>Barma, Naresh C.D.</creator><creator>Majumder, Rituparna</creator><creator>Garapaty, Rijuta</creator><creator>Paranjape, Vijay Dattatraya</creator><creator>Killian, Andrzej</creator><creator>Vijayaraghavan, K.</creator><creator>Kabir, Md. Rezaul</creator><creator>Hakim, Md. Abdul</creator><creator>Islam, Md. Zaherul</creator><creator>Hossain, Md. Mahamudul</creator><creator>Rahman, Md. Mokhlesur</creator><creator>Rahman, Mahbubur</creator><creator>Khan, Md. Abul Awlad</creator><creator>Islam, Md. Rabiul</creator><creator>Hasan, Md. Mahamudul</creator><creator>Amin, Md. Forhad</creator><creator>Acevedo, Maricelis</creator><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-4257-9375</orcidid></search><sort><creationdate>202109</creationdate><title>Assessment of wheat variety adoption in Bangladesh through DNA fingerprinting</title><author>Gade, Poornima ; Alam, M Ashraful ; Barma, Naresh C.D. ; Majumder, Rituparna ; Garapaty, Rijuta ; Paranjape, Vijay Dattatraya ; Killian, Andrzej ; Vijayaraghavan, K. ; Kabir, Md. Rezaul ; Hakim, Md. Abdul ; Islam, Md. Zaherul ; Hossain, Md. Mahamudul ; Rahman, Md. Mokhlesur ; Rahman, Mahbubur ; Khan, Md. Abul Awlad ; Islam, Md. Rabiul ; Hasan, Md. Mahamudul ; Amin, Md. Forhad ; Acevedo, Maricelis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3099-9a47955813dba7d0e2d05ab0f9393bd95db63acaf8dccee822b91814819103243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gade, Poornima</creatorcontrib><creatorcontrib>Alam, M Ashraful</creatorcontrib><creatorcontrib>Barma, Naresh C.D.</creatorcontrib><creatorcontrib>Majumder, Rituparna</creatorcontrib><creatorcontrib>Garapaty, Rijuta</creatorcontrib><creatorcontrib>Paranjape, Vijay Dattatraya</creatorcontrib><creatorcontrib>Killian, Andrzej</creatorcontrib><creatorcontrib>Vijayaraghavan, K.</creatorcontrib><creatorcontrib>Kabir, Md. Rezaul</creatorcontrib><creatorcontrib>Hakim, Md. Abdul</creatorcontrib><creatorcontrib>Islam, Md. Zaherul</creatorcontrib><creatorcontrib>Hossain, Md. Mahamudul</creatorcontrib><creatorcontrib>Rahman, Md. Mokhlesur</creatorcontrib><creatorcontrib>Rahman, Mahbubur</creatorcontrib><creatorcontrib>Khan, Md. Abul Awlad</creatorcontrib><creatorcontrib>Islam, Md. Rabiul</creatorcontrib><creatorcontrib>Hasan, Md. Mahamudul</creatorcontrib><creatorcontrib>Amin, Md. Forhad</creatorcontrib><creatorcontrib>Acevedo, Maricelis</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><jtitle>Crop science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gade, Poornima</au><au>Alam, M Ashraful</au><au>Barma, Naresh C.D.</au><au>Majumder, Rituparna</au><au>Garapaty, Rijuta</au><au>Paranjape, Vijay Dattatraya</au><au>Killian, Andrzej</au><au>Vijayaraghavan, K.</au><au>Kabir, Md. Rezaul</au><au>Hakim, Md. Abdul</au><au>Islam, Md. Zaherul</au><au>Hossain, Md. Mahamudul</au><au>Rahman, Md. Mokhlesur</au><au>Rahman, Mahbubur</au><au>Khan, Md. Abul Awlad</au><au>Islam, Md. Rabiul</au><au>Hasan, Md. Mahamudul</au><au>Amin, Md. Forhad</au><au>Acevedo, Maricelis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of wheat variety adoption in Bangladesh through DNA fingerprinting</atitle><jtitle>Crop science</jtitle><date>2021-09</date><risdate>2021</risdate><volume>61</volume><issue>5</issue><spage>3564</spage><epage>3577</epage><pages>3564-3577</pages><issn>0011-183X</issn><eissn>1435-0653</eissn><abstract>Wheat (Triticum aestivum L.) demand in Bangladesh has increased significantly in recent years, becoming the second major staple cereal after rice (Oryza sativa L.). Domestic production of wheat accounts for only 16% of domestic use. More than 30 wheat varieties have been released in the past 30 yr by the Bangladesh Wheat and Maize Research Institute (BWMRI). In the last 10 yr alone, nine varieties with improved yield and disease resistance have been released. Bangladesh and the BWMRI lack the regulatory framework and infrastructure to accurately track the rate of adoption of these new releases. To determine the adoption of these varieties across the country, DNA fingerprinting of wheat samples was conducted across the six wheat growing regions in Bangladesh during the 2018–2019 cropping season. A reference library was established to compare and identify the wheat samples collected from farmers’ fields. Wheat grain samples collected from the fields and breeders’ lines were genotyped using Diversity Arrays Technology sequencing (DArTseq)‐based single nucleotide polymorphism (SNP) markers. Of the 1,791 samples collected from farmers’ fields, 68% were identified as varieties released after 2000 and 32% matched with older varieties. Among the varieties grown, BARI Gom 25 represented 29% of the collected samples followed by 23% of BARI Gom 24 and 16% of BARI Gom 26. These three most common varieties were well distributed across the six regions and have broad adoption.
Core Ideas
High throughput DNA fingerprinting can be efficiently used for assessment of varietal adoption.
68% of samples identified as varieties released after 2000 and 32% matched with older varieties.
Improving management of wheat breeder seed is essential for accurate adoption studies.</abstract><doi>10.1002/csc2.20579</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-4257-9375</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0011-183X |
ispartof | Crop science, 2021-09, Vol.61 (5), p.3564-3577 |
issn | 0011-183X 1435-0653 |
language | eng |
recordid | cdi_crossref_primary_10_1002_csc2_20579 |
source | Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection |
title | Assessment of wheat variety adoption in Bangladesh through DNA fingerprinting |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T01%3A10%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20wheat%20variety%20adoption%20in%20Bangladesh%20through%20DNA%20fingerprinting&rft.jtitle=Crop%20science&rft.au=Gade,%20Poornima&rft.date=2021-09&rft.volume=61&rft.issue=5&rft.spage=3564&rft.epage=3577&rft.pages=3564-3577&rft.issn=0011-183X&rft.eissn=1435-0653&rft_id=info:doi/10.1002/csc2.20579&rft_dat=%3Cwiley_cross%3ECSC220579%3C/wiley_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |