2022
DOI: 10.3389/fpls.2022.1016170
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Validation of KASP-SNP markers in cassava germplasm for marker-assisted selection of increased carotenoid content and dry matter content

Abstract: Provitamin A biofortification and increased dry matter content are important breeding targets in cassava improvement programs worldwide. Biofortified varieties contribute to the alleviation of provitamin A deficiency, a leading cause of preventable blindness common among pre-school children and pregnant women in developing countries particularly Africa. Dry matter content is a major component of dry yield and thus underlies overall variety performance and acceptability by growers, processors, and consumers. Si… Show more

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Cited by 5 publications
(5 citation statements)
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“…However, the best model chosen using a stepwise regression method returned a simple model only fitted with the most significant predictor at the phytoene synthase gene indicating the elimination of other non-significant markers in the prediction model for TCC and root colour. The low phenotypic variation of TCC and root colour explained by the three markers S1_30543962, S5_3387558 and S8_25598183 suggests that the newly uncovered QTLs for pVAC have a minor effect on the trait, as previously reported by Ige et al 35 The best prediction model fitted with the most significant marker was validated using a bootstrap resampling strategy. The correlation coefficient between the predicted and the observed TCC values ranged from 0.36 to 0.80 with an average of 0.63 (Figure 6) whereas a correlation ranging from 0.66 to 0.89 with a mean of 0.75 was found between predicted and observed root colour score (Figure 7).…”
Section: Prediction Of Tcc and Root Colour By Markers Using Multiple ...mentioning
confidence: 58%
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“…However, the best model chosen using a stepwise regression method returned a simple model only fitted with the most significant predictor at the phytoene synthase gene indicating the elimination of other non-significant markers in the prediction model for TCC and root colour. The low phenotypic variation of TCC and root colour explained by the three markers S1_30543962, S5_3387558 and S8_25598183 suggests that the newly uncovered QTLs for pVAC have a minor effect on the trait, as previously reported by Ige et al 35 The best prediction model fitted with the most significant marker was validated using a bootstrap resampling strategy. The correlation coefficient between the predicted and the observed TCC values ranged from 0.36 to 0.80 with an average of 0.63 (Figure 6) whereas a correlation ranging from 0.66 to 0.89 with a mean of 0.75 was found between predicted and observed root colour score (Figure 7).…”
Section: Prediction Of Tcc and Root Colour By Markers Using Multiple ...mentioning
confidence: 58%
“…A similar study using different cassava populations resulted in a higher accuracy of 80%. 35 The relatively lower prediction accuracy from our study could be explained by the small population size derived from five parents and the narrow range of variation in root pigmentation (between cream and yellow) after discarding white root clones at the early stages of selection.…”
Section: Phenotypic and Molecular Improvement For Provitamin A Contentmentioning
confidence: 66%
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“…Dry matter content (DMC; %) was determined with the oven drying method (Ige et al 2022). The moisture from the roots (sample of 100 g) was obtained after drying in forced air circulation oven (Dehydrator Pardal PE60, Petrópolis, Brazil) at 60 °C to constant weight.…”
Section: Dry Matter Contentmentioning
confidence: 99%