The Effect of N, P and K Fertilizers on Pakchoi Yield Based on Response Surface Method

doi:10.11924/j.issn.1000-6850.casb2021-0892

Abstract

Abstract:

The study conducted a field fertilization experiment on pakchoi and adopted the response surface analysis method. Through a response surface optimization experiment of three factors and three levels, the study analyzed the effects of nitrogen level (N), phosphate level (P₂O₅) and potassium level (K₂O) on pakchoi yield, then established a quadratic regression equation to analyze the optimal cultivation condition for pakchoi. The results showed that the regression model was significant. The phosphorus level had highly significant effects on pakchoi yield, while nitrogen level and potassium level did not have significant effect. There were significant interactions between the nitrogen level and phosphorus level. There were also obvious interactions between phosphorus level and potassium level. However, the interaction between nitrogen level and potassium level was not significant. The order of yield influencing factors was phosphate fertilizer level> nitrogen fertilizer level> potassium fertilizer level. Through statistical analysis, the optimal cultivation condition is: the nitrogen level of 100.70 kg/hm², the phosphate level of 98.7 kg/hm², and the potassium level of 123.2 kg/hm². Under the optimal condition, the yield of pakchoi is 37.899 t/hm². The study can provide technical support for the production of pakchoi of high yield and good quality.

Key words: pakchoi, response surface method (RSM), nitrogen, phosphorus and potassium, fertilizer-effect, yield

CLC Number:

S634.3

ZHENG Long. The Effect of N, P and K Fertilizers on Pakchoi Yield Based on Response Surface Method[J]. Chinese Agricultural Science Bulletin, 2022, 38(25): 20-24.

Figures/Tables 6

References 26

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来源	平方和	自由度	均方	F值	P值	显著性
模型	0.3098	9	0.0344	15.91	0.0007	^**
A(N)	0.0031	1	0.0031	1.43	0.2703
B(P₂O₅)	0.0495	1	0.0495	22.89	0.0020	^**
C(K₂O)	0.0018	1	0.0018	0.8128	0.3973
AB	0.0247	1	0.0247	11.40	0.0118
AC	0.0037	1	0.0037	1.71	0.2321
BC	0.0248	1	0.0248	11.47	0.0116	^*
A²	0.0486	1	0.0486	22.49	0.0021	^**
B²	0.0544	1	0.0544	25.13	0.0015	^**
C²	0.0776	1	0.0776	35.87	0.0005	^**
残差	0.0151	7	0.0022
失拟项	0.0079	4	0.0020	0.8147	0.5910
纯误差	0.0073	3	0.0024
总离差	0.3249	16

来源	平方和	自由度	均方	F值	P值	显著性
模型	0.3098	9	0.0344	15.91	0.0007	^**
A(N)	0.0031	1	0.0031	1.43	0.2703
B(P₂O₅)	0.0495	1	0.0495	22.89	0.0020	^**
C(K₂O)	0.0018	1	0.0018	0.8128	0.3973
AB	0.0247	1	0.0247	11.40	0.0118
AC	0.0037	1	0.0037	1.71	0.2321
BC	0.0248	1	0.0248	11.47	0.0116	^*
A²	0.0486	1	0.0486	22.49	0.0021	^**
B²	0.0544	1	0.0544	25.13	0.0015	^**
C²	0.0776	1	0.0776	35.87	0.0005	^**
残差	0.0151	7	0.0022
失拟项	0.0079	4	0.0020	0.8147	0.5910
纯误差	0.0073	3	0.0024
总离差	0.3249	16

项目	数值	项目	数值
标准差	0.0465	复相关系数	0.9534
平均值	3.59	校正相关系数	0.8935
变异系统/%	1.30	预测相关系数	0.7470
信燥比	12.2405

项目	数值	项目	数值
标准差	0.0465	复相关系数	0.9534
平均值	3.59	校正相关系数	0.8935
变异系统/%	1.30	预测相关系数	0.7470
信燥比	12.2405