Unknown

Dataset Information

Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation.


ABSTRACT: Striga is an important biotic factor limiting maize production in sub-Saharan Africa and can cause yield losses as high as 100%. Marker-assisted selection (MAS) approaches hold a great potential for improving Striga resistance but requires identification and use of markers associated with Striga resistance for adequate genetic gains from selection. However, there is no report on the discovery of quantitative trait loci (QTL) for resistance to Striga in maize under artificial field infestation. In the present study, 198 BC1S1 families obtained from a cross involving TZEEI 29 (Striga resistant inbred line) and TZEEI 23 (Striga susceptible inbred line) plus the two parental lines were screened under artificial Striga-infested conditions at two Striga-endemic locations in Nigeria in 2018, to i

SUBMITTER: Badu-Apraku B 

PROVIDER: S-EPMC7489516 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature