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Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.
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; Channappa, Gireesh.
Afiliação
  • Bharamappanavara M; University of Agricultural Science, Raichur, Karnataka, 584104, India.
  • Siddaiah AM; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Ponnuvel S; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Ramappa L; University of Agricultural Science, Raichur, Karnataka, 584104, India.
  • Patil B; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Appaiah M; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Maganti SM; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Sundaram RM; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Shankarappa SK; Central Agricultural University, Imphal, 795004, India.
  • Tuti MD; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Banugu S; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Parmar B; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Rathod S; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Barbadikar KM; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Kota S; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Subbarao LV; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India.
  • Mondal TK; ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India.
  • Channappa G; ICAR-Indian Institute of Rice Research, Hyderabad, 500030, India. giri09@gmail.com.
Sci Rep ; 10(1): 22103, 2020 12 16.
Article em En | MEDLINE | ID: mdl-33328509
ABSTRACT
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 associated with weed competitive traits were identified in BC1F23 population derived from weed competitive accession of O. glaberrima (IRGC105187) and O. sativa cultivar IR64. The mapping population consisting of 144 segregating lines were phenotyped for 33 weed competitive associated traits under direct seeded condition. Genetic analysis of weed competitive traits carried out in BC1F23 population showed significant variation for the weed competitive traits and predominance of additive gene action. The population was genotyped with 81 genome wide SSR markers and a linkage map covering 1423 cM was constructed. Composite interval mapping analysis identified 72 QTLs linked to 33 weed competitive traits which were spread on the 11 chromosomes. Among 72 QTLs, 59 were found to be major QTLs (> 10% PVE). Of the 59 major QTLs, 38 had favourable allele contributed from the O. glaberrima parent. We also observed nine QTL hotspots for weed competitive traits (qWCA2a, qWCA2b, qWCA2c, qWCA3, qWCA5, qWCA7, qWCA8, qWCA9, and qWCA10) wherein several QTLs co-localised. Our study demonstrates O. glaberrima species as potential source for improvement for weed competitive traits in rice and identified QTLs hotspots associated with weed competitive traits.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Grão Comestível / Locos de Características Quantitativas / Plantas Daninhas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Grão Comestível / Locos de Características Quantitativas / Plantas Daninhas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article