Crops ›› 2019, Vol. 35 ›› Issue (3): 86-90.doi: 10.16035/j.issn.1001-7283.2019.03.014

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Genetic Correlation and Path Analysis of Yield and Agronomic Characteristics of Maize Hybrids in SPSS Software

Ren Honglei,Li Chunxia,Gong Shichen,Li Guoliang,Hu Guanghui,Wang Mingquan,Yang Jianfei   

  1. Institute of Maize Research, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, Heilongjiang, China
  • Received:2018-11-08 Revised:2019-04-08 Online:2019-06-15 Published:2019-06-12
  • Contact: Guoliang Li

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Abstract:

The agronomic characteristics are the main factors of maize yield components, the study of the relationship between the agronomic characteristics factors and maize yield can help to enhance the maize yield. The effects of agronomic characteristics factors such as growth period, plant height, ear height, ear length, ear diameter, bald length, rows per ear, grains per row, grain width, grain thickness, 100-grain weight, unit weight, produced grain rate were studied using stepwise regression analysis and path analysis to obtain decision coefficients between the agronomic characteristics and the yields of maize hybrids. The results indicated that the main positive factors affecting the yields of maize hybrids were produced grain rate, 100-grain weight, growth period, ear length, and rows per ear.

Key words: Maize hybrids, Agronomic characteristics, Yield, Stepwise regression analysis, Path analysis, Decision coefficient

Table 1

Variation analysis of yield in 79 maize materials"

变异来源Source of variation 平方和Square sum 自由度Degree of freedom 均方Mean square F P
模型Model 1.151E9a 236 4 877 866.458 24.245 0.000
材料Material 8.752E8 78 1.122E7 55.771 0.000
重复Repeat 448 467.961 2 224 233.980 1.115 0.329
材料×重复Material×repeat 2.755E8 156 1 766 016.492 8.778 0.000
误差Error 9.537E7 474 201 194.077
总变异Total variation 1.25E9 710

Table 2

Normal test of yield in 79 maize materials"

性状
Character		 Kolmogorov-Smirnova Shapiro-Wilk
统计量Statistic 自由度Degree of freedom P 统计量Statistic 自由度Degree of freedom P
产量Y 0.069 79 0.200 0.980 79 0.256

Table 3

Correlated coefficient of main agronomic characters in maize materials"

性状Character X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 Y
X1 1 0.585** -0.045 -0.065 -0.060 -0.005 -0.041 -0.192 -0.260* -0.273* -0.243* -0.285* -0.084 -0.267*
X2 1 -0.070 -0.140 -0.339** -0.163 -0.136 -0.175 -0.240* -0.189 -0.026 -0.200 -0.391** -0.046
X3 -1 -0.028 -0.219 -0.220 -0.524** -0.112 -0.107 -0.237* -0.379** -0.283* -0.320** -0.425**
X4 -1 -0.031 -0.364** -0.109 -0.170 -0.237* -0.290** -0.233* -0.249* -0.242* -0.343**
X5 -1 -0.173 -0.238* -0.278* -0.315** -0.054 -0.084 -0.079 -0.257* -0.115
X6 -1 -0.274* -0.020 -0.111 -0.023 -0.174 -0.052 -0.176 -0.133
X7 -1 -0.017 -0.021 -0.025 -0.215 -0.040 -0.271* -0.164
X8 -1 -0.867** -0.098 -0.033 -0.051 -0.103 -0.129
X9 -1 -0.027 -0.037 -0.049 -0.203 -0.116
X10 -1 -0.634** -0.854** -0.193 -0.803**
X11 -1 -0.780** -0.458** -0.803**
X12 -1 -0.329** -0.890**
X13 -1 -0.567**

Table 4

Partial correlated coefficient of main agronomic characters in maize materials"

性状Character X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13
Y -0.092 0.014 0.367 0.141 -0.072 0.233 -0.147 0.262 -0.173 0.316 0.150 0.578 0.513
P 0.458 0.909 0.002 0.257 0.563 0.057 0.235 0.033 0.162 0.009 0.226 0.000 0.000

Table 5

Path analysis between yield and main agronomic characters of maize materials"

性状
Character		 简单相关系数
Single correlation coefficient		 直接通径系数
Direct path coefficient		 间接通径系数Indirect path coefficient 决策系数(R2)
Decision coefficient
X3 X6 X10 X12 X13
X3 0.425** 0.140 -0.018 0.062 0.150 0.091 0.099
X6 0.133 0.081 -0.031 0.006 0.027 0.050 0.015
X10 0.803** 0.262 0.033 0.002 0.452 0.055 0.352
X12 0.890** 0.529 0.040 0.004 0.224 0.093 0.662
X13 0.567** 0.283 0.045 0.014 0.051 0.174 0.241
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