Crops ›› 2017, Vol. 33 ›› Issue (3): 39-43.doi: 10.16035/j.issn.1001-7283.2017.03.008

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Analysis and Evaluation of Different Models for Yield Stability of Peanut Cultivars in Southern Shanxi

Ning Dongxian,Zhao Yukun,Yan Cuiping,Yang Xiuli,Xiao Junhong,Yang Liping   

  1. Institute of Wheat Research,Shanxi Academy of Agricultural Sciences,Linfen 041000,Shanxi,China
  • Received:2017-03-01 Revised:2017-04-07 Online:2017-06-15 Published:2018-08-26

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Abstract:

In order to explore the characteristic expression rules of the peanut cultivars under different statistic models, 6 sites and 7 breeds were surveyed in southern Shanxi. The data were used in 4 models which were Eberhart-Russell、AMMI、DTOPSIS and PCA, to comparatively evaluate different peanut cultivars and the adaptability of the statistic models. The results of all the four models differed because of the different statistic calculation. Jinhua8, Huayu911 and Linhua9 cultivars showed better genetic stability in Eberhart-Russell model, while Huayu911 and Zhanghupo showed better cultivar stability and site discrimination in yield variation for AMMI biplot and Di parameter. Linhua9 and Huayu911 were optimal cultivars with synthetically multiple characters in DTOPSIS model, while Linhua9 and Jinhua8 were optimal in PCA model. With the actual field yield performance, we thought the effect of GEI interaction was more scientifically reflected by additive genetic model in AMMI analysis, the DTOPSIS analysis was more advantageous in multiple cultivars and traits comparison.

Key words: Peanut, Yield stability, Model

Table 1

Yield variance analysis results of different peanut cultivars"

Eberhart-Russell模型方差分析Variance analysis of ER model AMMI模型分析Analysis of AMMI model
来源Source DF SS MS F 来源Source DF SS MS F
Groups 12 2 867.24 238.94 1.17 Total 125 235 390.71 1 883.13
E 5 11 422.31 2 284.46 11.17** T 41 217 792.41 5 312.01 25.36**
C 6 148 695.08 24 782.51 121.13** G 6 148 695.08 24 782.51 118.29**
C×E 30 57 675.02 1 922.50 9.40** E 5 11 422.31 2 284.46 10.90**
Error 72 14 731.06 204.60 GEI 30 57 675.02 1 922.50 9.18**
IPCA1 10 27 187.16 2 718.72 2.14*
IPCA2 8 16 082.43 2 010.30 2.36**
IPCA3 6 8 861.14 1 476.86 2.03*
Residues 6 5 544.30 924.05

Table 2

Analysis results of ER and AMMI model"

品种
Cultivar		 Eberhart-Russell模型 ER model AMMI模型 AMMI model
回归离差S2di 变异度SCV(%) 回归系数Bi IPCA1 IPCA2 IPCA3 Dc 试点Site IPCA1 IPCA2 IPCA3 De
C1 -43.38 11.08 0.79 -0.35 7.04 -0.25 7.06 E1 -1.53 1.34 -5.78 6.13
C2 23.59 7.80 0.05 -3.74 -3.96 -2.34 5.93 E2 0.08 1.50 1.01 1.81
C3 -17.00 6.79 2.65 2.82 -2.69 2.98 4.91 E3 1.89 -7.36 0.11 7.60
C4 29.55 6.73 2.86 4.76 -0.77 -0.28 4.83 E4 -6.62 1.32 2.47 7.19
C5 6.67 5.08 0.95 0.19 0.13 3.29 3.30 E5 -0.54 -0.42 1.03 1.24
C6 -47.76 11.51 -1.35 -6.51 0.20 0.74 6.56 E6 6.72 3.62 1.16 7.72
C7 48.32 6.24 1.04 2.84 0.06 -4.14 5.02

Fig.1

Biplot of AMMI1"

Fig.2

Biplot of AMMI2"

Table 3

Analysis results of DTOPSIS and PCA model"

品种
Cultivar		 DTOPSIS模型DTOPSIS model PCA模型PCA model PCA模型 PCA model
Di+ Di- Ci F1 F2 F3 F 主成分
Principal
component		 特征值
Eigen
values		 方差贡献率(%)
Contribution rate
of variance		 累计方差贡献率(%)
Cumulative contribution
rate of variance
C1 0.37 0.14 0.27 -2.66 -2.14 0.78 -2.13 1 5.01 50.12 50.12
C2 0.17 0.33 0.66 1.01 3.16 -0.08 1.68 2 3.38 33.75 83.87
C3 0.20 0.22 0.52 -0.42 -0.20 -0.91 -0.39 3 0.94 9.36 93.23
C4 0.29 0.22 0.43 2.97 -1.76 -0.97 0.86 4 0.48 4.80 98.03
C5 0.20 0.24 0.55 -1.11 1.42 0.79 0.00 5 0.15 1.47 99.50
C6 0.26 0.21 0.45 -2.32 0.20 -0.93 -1.27
C7 0.27 0.23 0.46 2.52 -0.68 1.32 1.24

Table 4

Component matrix"

性状
Traits		 主成分Component
1 2 3
生育期Growth period 0.885 0.216 0.151
主茎高Stem height -0.845 0.135 0.468
侧枝长Branch length -0.900 0.158 0.372
总分枝数Total branching number -0.753 -0.434 -0.427
结果枝数Number of branches with pods 0.798 -0.432 -0.296
单株果数Pod number/plant 0.757 0.213 0.337
百果重100-pods weight -0.212 0.959 -0.158
百仁重100-seeds weight -0.091 0.965 -0.209
单株生产力Pod yield/plant -0.062 0.964 -0.253
产量Yield 0.932 0.293 0.200

Table 5

Peanut cultivars’ synthetically evaluation and order in different model"

C1 C2 C3 C4 C5 C6 C7
实际产量排序Fact yield order 6 3 5 2 4 7 1
Eberhart-Russell模型ER model 5 3 6 4 2 7 1
AMMI模型AMMI model 7 5 3 2 1 6 4
DTOPSIS模型DTOPSIS model 7 1 3 6 2 5 4
PCA模型PCA model 7 1 5 3 4 6 2
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