Articles liés à Mapping QTL's For Yellow Stem Borer Resistance...

Mapping QTL's For Yellow Stem Borer Resistance In Rice - Couverture souple

Palanivel, Hemalatha; Ponnusamy, Shanmughasundaram

 
9783659520150: Mapping QTL's For Yellow Stem Borer Resistance In Rice
Couverture souple
ISBN 10 : 3659520152 ISBN 13 : 9783659520150
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

Molecular Breeding approaches for Yellow Stem Borer resistance in Rice is difficult due to complex genetic of the character and inherent difficulties in screening. Mapping of QTL’s linked to traits would improve the phenotypic evaluation for the trait and F8 population was developed using parents contrasting in the reaction to the yellow stem borer resistance. Simple Sequence Repeat Analysis enabled as to identify phenotypic specific SSR markers. The marker phenotype association analysis involving single marker analysis (SMA) resulted in the detection of two markers viz., RM104 and RM314 associated with Dead Heart symptoms. The SMA carried out in the present study both by ANOVA and linear regression involving the SSR marker data and the phenotypic data associated with YSB resistance resulted in the association of RM104 on chromosome 1 with deadheart incidence under both glass house and field conditions. Scoring the linker markers in the set of germplasm confirmed that reproducibility and their association to resistance.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Molecular Breeding approaches for Yellow Stem Borer resistance in Rice is difficult due to complex genetic of the character and inherent difficulties in screening. Mapping of QTL’s linked to traits would improve the phenotypic evaluation for the trait and F8 population was developed using parents contrasting in the reaction to the yellow stem borer resistance. Simple Sequence Repeat Analysis enabled as to identify phenotypic specific SSR markers. The marker phenotype association analysis involving single marker analysis (SMA) resulted in the detection of two markers viz., RM104 and RM314 associated with Dead Heart symptoms. The SMA carried out in the present study both by ANOVA and linear regression involving the SSR marker data and the phenotypic data associated with YSB resistance resulted in the association of RM104 on chromosome 1 with deadheart incidence under both glass house and field conditions. Scoring the linker markers in the set of germplasm confirmed that reproducibility and their association to resistance.

Biographie de l'auteur

Dr.P.Hemalatha completed 6 years of teaching and 12 years of Post Doctoral Research Experience in the field of Biotechnology and Bioinformatics in Tamil NAdu Agricultural University, Coimbatore, India. Field of Specialization is Marker Aided Selection, Functional Genomics in Plants, Metabolomics and Plant Computational Biology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659520152
ISBN 13 
9783659520150
Reliure
Broché
Nombre de pages
128
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne