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Table 4 Regression equation model for prediction of rice grain size

From: Influence of Multi-Gene Allele Combinations on Grain Size of Rice and Development of a Regression Equation Model to Predict Grain Parameters

Regression equation models  
Grain length 8.7539+0.0008(GS6)+0.0094(GS5_1)+0.0133(GS5_2)+0.7148(qSW5_1)+0.0862(qSW5_2)-0.9010(GS3_1)-1.4351(GS3_2)+0.5161(GW8_1)+0.2797(GW8_2)
Grain width 3.2556-0.1564(GS6)+0.0607(GS5_1)-0.0632(GS5_2)+0.4838(GW2)-0.4591(qSW5_1)-0.0188(qSW5_2)+0.1169(GS3_1)+0.2290(GS3_2)- 0.1267(GW8_1)-0.2075(GW8_2)
Grain length to width ratio 2.7589+0.1532(GS6)-0.0769(GS5_1)+0.0764(GS5_2)+0.7302(qSW5_1)+0.1054(qSW5_2)-0.4724(GS3_1)-0.7206(GS3_2)+0.2907(GW8_1)+0.2845(GW8_2)
1000-grain weight 3.2556-0.1564(GS6)+0.0607(GS5_1)-0.0632(GS5_2)+0.4838(GW2)-0.4591(qSW5_1)-0.0188(qSW5_2)+0.1169(GS3_1)+0.2290(GS3_2)- 0.1267(GW8_1)-0.2075(GW8_2)