Department of Agronomy, National Chung Hsing University, Taichung, Taiwan.
Innovation and Development Center of Sustainable Agriculture (IDCSA), National Chung Hsing University, Taichung, Taiwan.
PLoS One. 2021 May 19;16(5):e0249700. doi: 10.1371/journal.pone.0249700. eCollection 2021.
With the recent advent of genetic engineering, numerous genetically modified (GM) crops have been developed, and field planting has been initiated. In open-environment cultivation, the cross-pollination (CP) of GM crops with wild relatives, conventional crops, and organic crops can occur. This exchange of genetic material results in the gene flow phenomenon. Consequently, studies of gene flow among GM crops have primarily focused on the extent of CP between the pollen source plot and the adjacent recipient field. In the present study, Black Pearl Waxy Corn (a variety of purple glutinous maize) was used to simulate a GM-maize pollen source. The pollen recipient was Tainan No. 23 Corn (a variety of white glutinous maize). The CP rate (%) was calculated according to the xenia effect on kernel color. We assessed the suitability of common empirical models of pollen-mediated gene flow (PMGF) for GM maize, and the field border (FB) effect of the model was considered for small-scale farming systems in Asia. Field-scale data were used to construct an optimal model for maize PMGF in the maize-producing areas of Chiayi County, southern Taiwan (R.O.C). Moreover, each model was verified through simulation and by using the 95% percentile bootstrap confidence interval length. According to the results, a model incorporating both the distance from the source and the FB can have optimal fitting and predictive abilities.
随着基因工程的最近出现，已经开发了许多基因改良（GM）作物，并开始进行田间种植。在开放环境的栽培中，GM 作物与野生亲缘种、常规作物和有机作物之间可能会发生异花授粉（CP）。这种遗传物质的交换导致了基因流动现象。因此，对 GM 作物之间基因流动的研究主要集中在花粉源区与相邻受体田之间的 CP 程度上。在本研究中，黑珍珠蜡质玉米（一种紫色糯玉米品种）被用来模拟 GM-玉米花粉源。花粉受体是台南 23 号玉米（一种白色糯玉米品种）。根据花粉对粒色的杂种优势效应，计算了 CP 率（%）。我们评估了常见的用于 GM 玉米的花粉介导基因流（PMGF）经验模型的适用性，并考虑了该模型在亚洲小规模农业系统中的田间边界（FB）效应。使用田间尺度数据，构建了台湾南部嘉义县玉米产区玉米 PMGF 的最优模型（R.O.C）。此外，通过模拟和使用 95%分位数自举置信区间长度对每个模型进行了验证。结果表明，同时包含源距离和 FB 的模型具有最佳的拟合和预测能力。
