Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Or...
Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud
About this item
Full title
Author / Creator
Bharamappanavara, Muralidhara , Siddaiah, Anantha M. , Ponnuvel, Senguttuvel , Ramappa, Lokesha , Patil, Basavaraj , Appaiah, Manoj , Maganti, Sheshu Madhav , Sundaram, Raman Meenakshi , Shankarappa, Shashidhar Kadadanamari , Tuti, Mangal Deep , Banugu, Sreedevi , Parmar, Brajendra , Rathod, Santosha , Barbadikar, Kalyani M. , Kota, Suneetha , Subbarao, Lella Venkata , Mondal, Tapan Kumar and Channappa, Gireesh
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
To improve grain yield under direct seeded and aerobic conditions, weed competitive ability of a rice genotype is a key desirable trait. Hence, understanding and dissecting weed competitive associated traits at both morphological and molecular level is important in developing weed competitive varieties. In the present investigation, the QTLs associ...
Alternative Titles
Full title
Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud
Authors, Artists and Contributors
Author / Creator
Siddaiah, Anantha M.
Ponnuvel, Senguttuvel
Ramappa, Lokesha
Patil, Basavaraj
Appaiah, Manoj
Maganti, Sheshu Madhav
Sundaram, Raman Meenakshi
Shankarappa, Shashidhar Kadadanamari
Tuti, Mangal Deep
Banugu, Sreedevi
Parmar, Brajendra
Rathod, Santosha
Barbadikar, Kalyani M.
Kota, Suneetha
Subbarao, Lella Venkata
Mondal, Tapan Kumar
Channappa, Gireesh
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_633e1d6704a648fbb6d1460030c1b371
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_633e1d6704a648fbb6d1460030c1b371
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-78675-7
