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Validation of SNP markers for marker-assisted selection of genotypes with increased carotenoid and dry matter contents in cassava

Adenike D. IgeiD, Bunmi OlasanmiiD, Guillaume Jean BauchetiD, Siraj Ismail KayondoiD, Edwige Gaby Nkouaya MbanjoiD, Ruth Uwugiaren, Sharon Motomura‐WagesiD, Joanna NortoniD, Chiedozie Ngozi EgesiiD, Elizabeth Yaa Parkes, Peter KulakowiD, Hernán CeballosiD, Ismail Yusuf RabbiiD

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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 in developing countries. Dry matter content is a major component of dry yield and thus underlies overall variety performance and acceptability by growers, processors, and consumers. SNP markers linked to these traits have recently been discovered through several genome-wide association studies but have not been deployed for marker-assisted selection (MAS). Assessment of marker performance in diverse genetic backgrounds is an important step towards their deployment for routine MAS. In the present study, seven previously identified markers for these traits were converted to a robust set of uniplex allele-specific PCR assays and validated in two independent pre-breeding and breeding populations. These assays were efficient in discriminating marker genotypic classes and had an average call rate greater than 98%. A high correlation was observed between the predicted and observed carotenoid content as inferred by root yellowness intensity in the breeding (r = 0.92) and pre-breeding (r = 0.95) populations. On the other hand, dry matter content-markers had moderately low predictive accuracy in both populations (r < 0.40) due to the more quantitative nature of the trait. This work confirmed marker effectiveness in multiple backgrounds, therefore, further strengthening its value in cassava biofortification to ensure nutritional security as well as dry matter content productivity. Our study provides a framework to guide future marker development, thus leading to more routine use of markers in MAS in cassava improvement programs.

02 /Specification & Classification

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