|Title:||應用M5'回歸樹建構台灣玉米花粉飄散模式||Other Titles:||Using the M5' Regression Tree to Construct a Pollen-Mediated Gene Flow (PMGF) Model of Maize in Taiwan||Authors:||王晨宇
|Keywords:||玉米;花粉式基因流動模式;two-step模式;M5'回歸樹;Maize;pollen-mediated gene flow (PMGF) model;the two-step model;the M5' regression tree||Issue Date:||Oct-2013||Publisher:||台灣農學會||Journal Volume:||14||Journal Issue:||5||Start page/Pages:||420-452||Source:||台灣農學會報||Abstract:||
Along with improvements in biotechnology, the acreage and varieties of genetically modified (GM) crops are increasing rapidly. Because of the unknown risks to the ecological environment, consumer consumption, and economic issues, measures and detections of the coexistence between GM and non-GM crops have become concerns of researchers and governments. In our study, the GM crop was simulated by purple-glutinous maize. The non-GM crop was white-glutinous maize. The field experiments were conducted at Potzu Branch Station in Puzih in 2009 and 2010 and at the Taiwan Agricultural Research Institute (TARI) in 2011 to construct pollen-mediated gene flow (PMGF) models suited to the environment in Taiwan (R.O.C). The fitting capabilities of a M5' regression tree, non-linear models (exponential model, log/log model, log/square model), and a two-step model were compared by using the statistical indicators of r and RMSE.According to the findings, the M5' regression tree performs as well as the other models based on statistical indicators when using TARI data. Moreover, the data collected from the Potzu Branch Station show that when the number of explanatory variables is increased, the M5' regression tree performs better than the other models. Furthermore, the combined data collected at TARI and Potzu Branch Station show that the M5' regression tree performs much better than the other models. Finally, because the M5' regression tree is an empirical model, the results indicate excellent fitting capability as the number of explanatory variables and the sample information increase.
|Appears in Collections:||作物組|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.