The objectives of this study were to detect the QTL mapping dataset for percentage of
grain chalkiness (PGC) of rice and utilize the identified marker-QTL associations in designing
a breeding methodology to produce rice inbred lines with low PGC and ideal agronomic traits.
These results will provide a practicable illustration of crop improvement through design-
breeding approach.