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

Rice

Table 3 Regression equation model for prediction of rice grain size

			Grain length		Grain width		Grain length to width ratio		1000-grain weight
Gene name	Primer name	Variable	Parameter estimate	T value	Parameter estimate	T value	Parameter estimate	T value	Parameter estimate	T value
GS3	GS3-PstI	GS3-1	-0.901±0.17	-5.24**	0.1169±0.06	1.84	-0.4724±0.08	-5.34**	-1.2166±0.94	-1.29
GS3	GS3-PstI	GS3-2	-1.4351±0.17	-8.17**	0.229±0.06	3.52**	-0.7206±0.09	_-7 97**	-1.9387±0.96	-2*
GS5	GS5-TaqI, GS5-SalI	GS5-1	-	-	-0.0607±0.05	1.15	-0.0769±0.07	-1.05	-
GS5	GS5-TaqI, GS5-SalI	GS5-2	-	-	-0.0632±0.07	-0.81	0.0764±0.1	0.7	-
GS6	indel-GS6	GS6	0.0008±0.12	0.01	-0.1564±0.04	-3.28**	0.1532±0.06	2.3*	-2.4581±0.68	-3.59**
GW2	GW2-ScaI	GW2	-	-	0.4838±0.16	2.87**	-	-	20.9539±2.53	8.26**
qSW5/GW5	N1212del	qSW5-1	0.7148±0.15	4.53**	-0.4591±0.05	-7.89**	0.7302±0.08	8.99**	-	-
qSW5/GW5	N1212del	qSW5-2	0.0862±0.18	0.46	-0.0188±0.07	-0.27	0.1054±0.09	1.08	-	-
GW8/OsSPL16	indel-GW8, seq-GW8	GW8-1	0.5161±0.15	3.32**	-0.1267±0.05	-2.21*	0.2907±0.07	3.64**	0.7881±0.78	1
GW8/OsSPL16	indel-GW8, seq-GW8	GW8-2	0.2797±0.17	1.61	-0.2075±0.06	-3.24**	0.2845±0.08	3.18**	-1.4489±0.92	-1.57
	intercept		8.7539±0.24	35.67**	3.2556±0.09	35.95**	2.7589±0.12	21.83**	29.4539±0.91	32.13**
	total R		0.4391		0.5913		0.6339		0.3286

** and * indicate the significance at 1 % and 5 % level, respectively
A Dummy variable substitution;
GS3: A-allele (0,0), B-allele (1,0), and C-allele (0,1)
GS5: H94 type (0,0), Zhonghua 11 type (1,0), and Zhenshan 97 type (0,1)
GS6: Type I (0) and Type II/III (1)
GW2: FAZ1 allele (0) and WY3 allele (1)
qSW5/GW5: Indica II type (0,0), Kasalath type (1,0), and Nipponbare type (0,1)
GW8/OsSPL16: Basmati allele (0,0), HJX74 allele (1,0), and TN1 allele (0,1)