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|Title:||Quantitative trait loci underlying root yield and starch content in an F<inf>1</inf> derived cassava population (Manihot esculenta Crantz)|
D. R. Smith
D. A. Lightfoot
Thailand Ministry of Agriculture and Cooperatives
Southern Illinois University at Carbondale
|Keywords:||Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology|
|Citation:||Journal of Agricultural Science. Vol.155, No.4 (2017), 569-581|
|Abstract:||© 2016 Cambridge University Press. Cassava (Manihot esculenta Crantz) root yield measured as fresh weight (hereafter root yield) is declining in much of Asia and Africa. The current study aimed to identify quantitative trait loci (QTL) underlying both root and starch fresh weights in F 1 cassava. Eight QTL were associated with root yield, underlying 12·9-40·0% of the phenotypic variation (PVE). Nine QTL were associated with starch content, underlying 11·3-27·3% of the PVE. Quantitative trait loci were identified from four different environments that encompassed two locations and 3 years. Consistent QTL for root yield, YLD5-R11 and YLD8-L09 on linkage group (LG) 16, were detected across years and locations. Quantitative trait loci for starch content, ST3-R09, ST6-R10 and ST7-R11 on LG 11, were found across 3 years. Co-localization of QTL for both traits with positive correlation was detected between YLD3-R10 and ST5-R10 on LG 9. Candidate genes within the QTL that were consistent across multiple environments were identified based on cassava genome sequences. Genes predicted to encode for glycosyl hydrolases, uridine 5'-diphospho-(UDP)-glucuronosyl transferases and UDP-glucosyl transferases were found among the 44 genes located within the region containing the QTL controlling starch content. Sixteen genes predicted to encode proteins that were possibly associated with root yield were identified. The QTL controlling root yield and starch content in the current study will be useful for molecular breeding of cassava through marker-assisted selection. The identification of candidate genes underlying both traits will be useful both as markers and for gene expression studies.|
|Appears in Collections:||Scopus 2016-2017|
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