Stability Analysis of Winter Wheat Varieties Based on Python Language

doi:10.11924/j.issn.1000-6850.casb19010094

Abstract

Abstract:

The study aims at selecting suitable stability analysis parameters and calculation methods for winter wheat varieties. Using the experimental data of winter wheat, five stability parameters were calculated by Python for the first time. The correlations of parameters were studied by rank correlation and principal component analysis. The results showed that the Python language could easily and flexibly calculate various parameters and rank correlation and analyze principal components. The correlation analysis showed that PCOA was significantly and positively correlated with yield; CV and Bi were significantly and negatively correlated with yield. The results indicate that the PCOA model can simultaneously evaluate yield and stability of varieties, and the multivariate method can be a useful complement to the univariate parameter model.

Key words: winter wheat, variety, stability, python language, program, rank correlation

CLC Number:

S11+4

Li Xiaohang, Wang Yinghong. Stability Analysis of Winter Wheat Varieties Based on Python Language[J]. Chinese Agricultural Science Bulletin, 2020, 36(14): 156-164.

Figures/Tables 10

References 27

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品种	地点
品种	D1	D2	D3	D4	D5	D6	D7	D8	D9	D10	D11	D12	D13	D14
s156	580.5	502.7	366.3	537.9	380.3	401.4	444.8	405.3	411.7	372.6	512.3	458.5	420.2	464.7
l146	5416.6	539.3	394.2	537.9	424.7	352.2	439.1	436.6	405.2	386.6	532.4	503.9	393.5	482
w182	621.6	523.8	443.2	526.4	458.8	390.5	435.7	457.3	417.8	367.1	529.3	423.6	431.2	498.7
gy13028	531.1	544.2	406.7	491.7	416.3	414.9	449.8	457	401.5	342.1	467.6	438.8	408.1	443.3
z875	606.2	557.4	450.7	552.6	421.4	346.4	473.5	392.4	401.7	398.8	523.1	357.7	424.5	393.1
w803	586	548.2	335	529.4	365.5	389.5	482.5	426.4	414.5	358.3	574.1	398.4	425.9	457.9
l899	582.6	568.7	413	551.1	422.4	370.3	395.3	445.1	423.7	361.5	513.9	418.8	435.5	467
a1303	554.4	540.7	398.7	527.5	380.8	419.9	445.2	453.4	392.5	369.9	472.2	429.2	442.6	496.3
z162	517.1	473.9	417.2	500	380.8	389.2	420.8	391.1	440.2	365.8	501.5	427．1	416.4	447.9
z18ck	520.6	484.4	398.2	513	410.9	367.6	404.2	399.4	414.1	372.5	470.7	403.8	367.4	441.3

品种	地点
品种	D1	D2	D3	D4	D5	D6	D7	D8	D9	D10	D11	D12	D13	D14
s156	580.5	502.7	366.3	537.9	380.3	401.4	444.8	405.3	411.7	372.6	512.3	458.5	420.2	464.7
l146	5416.6	539.3	394.2	537.9	424.7	352.2	439.1	436.6	405.2	386.6	532.4	503.9	393.5	482
w182	621.6	523.8	443.2	526.4	458.8	390.5	435.7	457.3	417.8	367.1	529.3	423.6	431.2	498.7
gy13028	531.1	544.2	406.7	491.7	416.3	414.9	449.8	457	401.5	342.1	467.6	438.8	408.1	443.3
z875	606.2	557.4	450.7	552.6	421.4	346.4	473.5	392.4	401.7	398.8	523.1	357.7	424.5	393.1
w803	586	548.2	335	529.4	365.5	389.5	482.5	426.4	414.5	358.3	574.1	398.4	425.9	457.9
l899	582.6	568.7	413	551.1	422.4	370.3	395.3	445.1	423.7	361.5	513.9	418.8	435.5	467
a1303	554.4	540.7	398.7	527.5	380.8	419.9	445.2	453.4	392.5	369.9	472.2	429.2	442.6	496.3
z162	517.1	473.9	417.2	500	380.8	389.2	420.8	391.1	440.2	365.8	501.5	427．1	416.4	447.9
z18ck	520.6	484.4	398.2	513	410.9	367.6	404.2	399.4	414.1	372.5	470.7	403.8	367.4	441.3

品种	YIELD	CV	Bi	pi
s156	446.4	0.1	1	1200
l146	454.6	0.1	1	876.2
w182	466.1	0.1	1	568
gy13028	443.8	0.1	1	1496
z875	450.0	0.2	1	1728.4
w803	449.4	0.2	1	1484.4
1899	454.9	0.2	1	1001.6
a1303	451.7	0.1	1	1257.3
z162	434.9	0.1	1	1947.8
z18ck	426.3	0.1	1	2399.3

品种	YIELD	CV	Bi	pi
s156	446.4	0.1	1	1200
l146	454.6	0.1	1	876.2
w182	466.1	0.1	1	568
gy13028	443.8	0.1	1	1496
z875	450.0	0.2	1	1728.4
w803	449.4	0.2	1	1484.4
1899	454.9	0.2	1	1001.6
a1303	451.7	0.1	1	1257.3
z162	434.9	0.1	1	1947.8
z18ck	426.3	0.1	1	2399.3

品种	YIELD	CV	Bi	pi	PCOA
s156	4	7	6	4	4
1146	5	6	5	2	1
w186	6	5	7	1	6
gy13028	9	2	2	7	9
z875	2	9	9	8	3
w803	1	10	10	6	5
1899	3	8	8	3	2
a1303	7	4	4	5	7
z162	10	1	1	9	10
zl18ck	8	3	3	10	8