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Table 3.

Regression coefficients for the predictive models for cooking loss, water absorption capacity, firmness and stickiness.

X1 +0.523 +0.979 -0.016* +0.023*
X2 +0.580 +0.012* +0.396 -0.037*
X1X1 +0.025* -0.135 +0.000* +0.556
X2X2 +0.014* -0.000* +0.301 +0.001*
X1X2 +0.341 -0.001* +0.984 -0.870
Lack of fit ND ND ND ND
F 3.66NS 17.54NS 12.88NS 8.37NS
R2 0.72 0.93 0.90 0.86

CL: cooking loss, WAC: water absorption capacity, F: firmness, S: stickiness, X1: water, X2: HTCF, X1X1, X2X2: quadratic coefficients, X1X2: interaction between coefficients, F: variance Ficher- Snedecor, R2: coefficient of determination, NS: not significant (p > 0.05),* significant at p ≤ 0.05.

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