Although amylose content is considered the most important determinant of co
oked rice texture, this constituent falls short as a predictor. because cul
tivars with similar amylose contents may differ in textural properties. Thu
s, amylography is used as one of a battery of tests, in addition to measuri
ng amylose content, to improve differentiation of cultivars. The purpose of
our study was to determine how well amylography conducted with a Rapid Vis
co Analyser (RVA) serves as a predictor of cooked rice texture, alone and i
n combination, with amylose content. Textural properties of 87 samples repr
esenting short-, medium-, and long-grain rice cultivars were assessed by de
scriptive sensory and instrumental texture profile (TPA) analyses and relat
ed to RVA measurements. None of the cooked rice textural attributes, whethe
r measured by descriptive analysis or TPA, were modeled by RVA with high ac
curacy (i.e., high r(2)). Sensory texture attributes cohesiveness of mass,
stickiness, and initial starchy coating and TPA attribute adhesiveness had
the strongest correlations with RVA measurements. Setback explained most of
the variance attributed to models describing these attributes; the stronge
st correlation was with cohesiveness of mass (r = 0.69; equivalent to coeff
icient of determination, r(2) = 0.47). inclusion of amylose and protein con
tents in regression analyses did not strengthen models. Exclusion of sample
s that cook atypically, based on amylose content or gelatinization temperat
ure types, slightly improved the accuracy of RVA measurements for predictin
g cooked rice texture.