{"title":"单纯形点阵设计在玉米饲料生产中的应用","authors":"J. Cheruiyot, J. Koske, J. Mutiso","doi":"10.7176/mtm/9-7-05","DOIUrl":null,"url":null,"abstract":"This study involved mixture experiment using simplex lattice design approach in cultivation of Maize crop with the view of optimizing the fertilizer components (dependent variables) on the output parameter (maize fodder). The objective of this study was to evaluate optimal sets of mixture of fertilizer components that could maximize the response variables of interest. Di-Ammonium Phosphate (DAP), Poultry manure, Sheep manure, and Farmyard manure components mixed in various proportions in accordance with simplex lattice design were applied in planting hybrid maize seeds. With the application of the special cubic statistical model formulated, it was found that farmyard manure and poultry manure produced the optimal fertilizer condition. However, the this study further provided specific optimal fertilizer blend for maize fodder production as 8.0 tons ha -1 of farmyard manure mixed with 1.212 tons ha -1 of poultry manure. Under these conditions, a maximum outputs 42 tons ha -1 of maize fodder were realized. The study concluded that the formulation of statistical model for crop production could be useful for prediction and evaluation of the effects of experimental factors. KEY WORDS : Maize fodder; Fertilizer components; Model; Mixture experiment; Simplex Lattice Design; DOI : 10.7176/MTM/9-7-05 Publication date : July 31 st 2019","PeriodicalId":394772,"journal":{"name":"Mathematical Theory and Modeling","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Simplex Lattice Design in Maize Fodder Production\",\"authors\":\"J. Cheruiyot, J. Koske, J. Mutiso\",\"doi\":\"10.7176/mtm/9-7-05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study involved mixture experiment using simplex lattice design approach in cultivation of Maize crop with the view of optimizing the fertilizer components (dependent variables) on the output parameter (maize fodder). The objective of this study was to evaluate optimal sets of mixture of fertilizer components that could maximize the response variables of interest. Di-Ammonium Phosphate (DAP), Poultry manure, Sheep manure, and Farmyard manure components mixed in various proportions in accordance with simplex lattice design were applied in planting hybrid maize seeds. With the application of the special cubic statistical model formulated, it was found that farmyard manure and poultry manure produced the optimal fertilizer condition. However, the this study further provided specific optimal fertilizer blend for maize fodder production as 8.0 tons ha -1 of farmyard manure mixed with 1.212 tons ha -1 of poultry manure. Under these conditions, a maximum outputs 42 tons ha -1 of maize fodder were realized. The study concluded that the formulation of statistical model for crop production could be useful for prediction and evaluation of the effects of experimental factors. KEY WORDS : Maize fodder; Fertilizer components; Model; Mixture experiment; Simplex Lattice Design; DOI : 10.7176/MTM/9-7-05 Publication date : July 31 st 2019\",\"PeriodicalId\":394772,\"journal\":{\"name\":\"Mathematical Theory and Modeling\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Theory and Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7176/mtm/9-7-05\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Theory and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7176/mtm/9-7-05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究采用单纯形点阵设计方法在玉米作物栽培中进行混合试验,以期根据产量参数(玉米饲料)优化肥料成分(因变量)。本研究的目的是评估能使感兴趣的响应变量最大化的肥料成分混合物的最佳组合。以磷酸二铵(DAP)、禽粪、羊粪和农家肥为原料,按照单点式设计,按不同比例混合种植杂交玉米种子。应用所建立的特殊三次统计模型,发现农家肥和禽粪产生最优的施肥条件。然而,本研究进一步确定了玉米饲料生产的具体最佳肥料配比为8.0 t ha -1农家肥与1.212 t ha -1禽粪混合。在此条件下,玉米饲料产量可达42吨/公顷。研究结果表明,建立作物生产统计模型有助于预测和评价试验因素的影响。关键词:玉米饲料;肥料成分;模型;混合实验;单纯形点阵设计;出版日期:2019年7月31日
Application of Simplex Lattice Design in Maize Fodder Production
This study involved mixture experiment using simplex lattice design approach in cultivation of Maize crop with the view of optimizing the fertilizer components (dependent variables) on the output parameter (maize fodder). The objective of this study was to evaluate optimal sets of mixture of fertilizer components that could maximize the response variables of interest. Di-Ammonium Phosphate (DAP), Poultry manure, Sheep manure, and Farmyard manure components mixed in various proportions in accordance with simplex lattice design were applied in planting hybrid maize seeds. With the application of the special cubic statistical model formulated, it was found that farmyard manure and poultry manure produced the optimal fertilizer condition. However, the this study further provided specific optimal fertilizer blend for maize fodder production as 8.0 tons ha -1 of farmyard manure mixed with 1.212 tons ha -1 of poultry manure. Under these conditions, a maximum outputs 42 tons ha -1 of maize fodder were realized. The study concluded that the formulation of statistical model for crop production could be useful for prediction and evaluation of the effects of experimental factors. KEY WORDS : Maize fodder; Fertilizer components; Model; Mixture experiment; Simplex Lattice Design; DOI : 10.7176/MTM/9-7-05 Publication date : July 31 st 2019