{"title":"Response Surface Methodology Approach to the Optimization of Potato(Solanum tuberosum) Tuber Yield Using Second-Order Rotatable Design","authors":"Koech Jk, Mutiso Mj, Koskei Jk","doi":"10.4172/2155-6180.1000351","DOIUrl":null,"url":null,"abstract":"One of the major concerns among developing countries in recent decades is the effect of declining food security with ever-growing population. Hence, the importance of adopting cost effective farming methods has led to the development of various statistical methods to alleviate food insecurity. Among these methods, CCD has gained significant attention to its application in agriculture. In this paper, the response surface methodology (RSM) was applied in order to determine the effects of the factors potassium (K), nitrogen (N) and phosphorus (P) on the yield of potato tuber. The predicted values for the yield of potato tuber by the response functions were in a very close agreement with experimental data (R2=90%). The second-order model was developed by solving the parameters of the regression equation using the method of least squares. The optimal combinations of the factors potassium (K), nitrogen (N) and phosphorus (P) with yield as the response of interest were determined by analyzing the 3D response surface plots and using the method of steepest ascent. Using ridge analysis method which corresponds to the method of steepest ascent, the optimal yield of potato tuber was estimated to be 29.26 t ha-1 which is much higher than the current national target of 14 t ha-1 with optimum factor levels being K=35.36 kg K2o ha-1, N=78.71 Kg N ha-1 and P=160.69 Kg P=160.69 kg P2o5ha-1, respectively. Nitrogen and phosphorous had a significant positive linear effects on the potato tuber yield. Based on the results, it can be concluded that the response surface methodology is a suitable approach for determining the optimal conditions of the selected fertilizer types.","PeriodicalId":87294,"journal":{"name":"Journal of biometrics & biostatistics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2155-6180.1000351","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biometrics & biostatistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2155-6180.1000351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
One of the major concerns among developing countries in recent decades is the effect of declining food security with ever-growing population. Hence, the importance of adopting cost effective farming methods has led to the development of various statistical methods to alleviate food insecurity. Among these methods, CCD has gained significant attention to its application in agriculture. In this paper, the response surface methodology (RSM) was applied in order to determine the effects of the factors potassium (K), nitrogen (N) and phosphorus (P) on the yield of potato tuber. The predicted values for the yield of potato tuber by the response functions were in a very close agreement with experimental data (R2=90%). The second-order model was developed by solving the parameters of the regression equation using the method of least squares. The optimal combinations of the factors potassium (K), nitrogen (N) and phosphorus (P) with yield as the response of interest were determined by analyzing the 3D response surface plots and using the method of steepest ascent. Using ridge analysis method which corresponds to the method of steepest ascent, the optimal yield of potato tuber was estimated to be 29.26 t ha-1 which is much higher than the current national target of 14 t ha-1 with optimum factor levels being K=35.36 kg K2o ha-1, N=78.71 Kg N ha-1 and P=160.69 Kg P=160.69 kg P2o5ha-1, respectively. Nitrogen and phosphorous had a significant positive linear effects on the potato tuber yield. Based on the results, it can be concluded that the response surface methodology is a suitable approach for determining the optimal conditions of the selected fertilizer types.
近几十年来,发展中国家主要关注的问题之一是人口不断增长导致粮食安全下降的影响。因此,采用具有成本效益的耕作方法的重要性导致了各种统计方法的发展,以减轻粮食不安全。其中,CCD技术在农业上的应用受到了广泛的关注。采用响应面法(RSM)研究了钾(K)、氮(N)、磷(P)对马铃薯块茎产量的影响。利用响应函数对马铃薯块茎产量的预测值与实验数据非常吻合(R2=90%)。利用最小二乘法对回归方程的参数进行求解,建立了二阶模型。通过三维响应面分析,采用最陡爬坡法确定了以产量为目标响应的钾、氮、磷因子的最佳组合。采用与最陡爬坡法相对应的脊分析法,估算马铃薯块茎的最佳产量为29.26 t ha-1,远高于目前国家目标14 t ha-1,最佳因子水平分别为K=35.36 kg K2o ha-1、N=78.71 kg N ha-1和P=160.69 kg P2o5ha-1。氮磷对马铃薯块茎产量有显著的正线性影响。结果表明,响应面法是确定所选肥料类型最优条件的一种合适的方法。