{"title":"对DiGiovanni和Kevan关于“第五部分:估计可能性和暴露”的评论的回应,作者:Zaida Lentini, Environ。生物安全第5 (2006)193-195","authors":"D. Gustafson","doi":"10.1051/EBR:2008008","DOIUrl":null,"url":null,"abstract":"DiGiovanni and Kevan (2008, Environ. Biosafety Res. 7 : 105–108) commented extensively on the empirical approach that I and my co-authors took in our previous modeling of pollen-mediated gene flow in maize (Gustafson et al. (2006) Crop Sci. 46 : 2133–2140). As we detailed in that original paper, gene flow is a highly complex process that necessarily requires at least some level of empiricism in order to adequately quantify all of the biological, meteorological, and physical phenomena that are involved. DiGiovanni and Kevan favor a mechanistic modeling approach, and they proposed a number of potential advantages for such a method over our entirely empirical technique. However, the 20 m buffers we had proposed based on our empirical model continue to be supported by the rapidly growing body of experimental data on maize gene flow that has now been collected in Europe and elsewhere around the world. This does not mean there is no place for mechanistic modeling of gene flow, but it does suggest that properly implemented empirical approaches have a valid role to play. They offer a degree of simplicity and practical utility that is not available from more complicated approaches.","PeriodicalId":87177,"journal":{"name":"Environmental biosafety research","volume":"7 1","pages":"111-113"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Response to comments by DiGiovanni and Kevan on \\\"Session V: Estimating Likelihood and Exposure\\\", by Zaida Lentini, Environ. Biosafety Res. 5 (2006) 193-195\",\"authors\":\"D. Gustafson\",\"doi\":\"10.1051/EBR:2008008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"DiGiovanni and Kevan (2008, Environ. Biosafety Res. 7 : 105–108) commented extensively on the empirical approach that I and my co-authors took in our previous modeling of pollen-mediated gene flow in maize (Gustafson et al. (2006) Crop Sci. 46 : 2133–2140). As we detailed in that original paper, gene flow is a highly complex process that necessarily requires at least some level of empiricism in order to adequately quantify all of the biological, meteorological, and physical phenomena that are involved. DiGiovanni and Kevan favor a mechanistic modeling approach, and they proposed a number of potential advantages for such a method over our entirely empirical technique. However, the 20 m buffers we had proposed based on our empirical model continue to be supported by the rapidly growing body of experimental data on maize gene flow that has now been collected in Europe and elsewhere around the world. This does not mean there is no place for mechanistic modeling of gene flow, but it does suggest that properly implemented empirical approaches have a valid role to play. They offer a degree of simplicity and practical utility that is not available from more complicated approaches.\",\"PeriodicalId\":87177,\"journal\":{\"name\":\"Environmental biosafety research\",\"volume\":\"7 1\",\"pages\":\"111-113\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental biosafety research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1051/EBR:2008008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental biosafety research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/EBR:2008008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
DiGiovanni and Kevan (2008, Environ)。生物安全Res. 7: 105-108)广泛评论了我和我的合著者在我们之前的玉米花粉介导基因流动模型中采用的经验方法(Gustafson et al. (2006) Crop Sci. 46: 2133-2140)。正如我们在那篇原始论文中详述的那样,基因流动是一个高度复杂的过程,为了充分量化所有涉及的生物、气象和物理现象,至少需要一定程度的经验主义。DiGiovanni和Kevan倾向于机械建模方法,他们提出了这种方法比我们完全经验的技术有许多潜在的优势。然而,我们基于我们的经验模型提出的20米缓冲层继续得到欧洲和世界其他地方收集的快速增长的玉米基因流实验数据的支持。这并不意味着基因流动的机制建模没有一席之地,但它确实表明,正确实施的经验方法可以发挥有效的作用。它们提供了某种程度的简单性和实用性,这是更复杂的方法所不能提供的。
Response to comments by DiGiovanni and Kevan on "Session V: Estimating Likelihood and Exposure", by Zaida Lentini, Environ. Biosafety Res. 5 (2006) 193-195
DiGiovanni and Kevan (2008, Environ. Biosafety Res. 7 : 105–108) commented extensively on the empirical approach that I and my co-authors took in our previous modeling of pollen-mediated gene flow in maize (Gustafson et al. (2006) Crop Sci. 46 : 2133–2140). As we detailed in that original paper, gene flow is a highly complex process that necessarily requires at least some level of empiricism in order to adequately quantify all of the biological, meteorological, and physical phenomena that are involved. DiGiovanni and Kevan favor a mechanistic modeling approach, and they proposed a number of potential advantages for such a method over our entirely empirical technique. However, the 20 m buffers we had proposed based on our empirical model continue to be supported by the rapidly growing body of experimental data on maize gene flow that has now been collected in Europe and elsewhere around the world. This does not mean there is no place for mechanistic modeling of gene flow, but it does suggest that properly implemented empirical approaches have a valid role to play. They offer a degree of simplicity and practical utility that is not available from more complicated approaches.