ABSTRACT

Cultivar contamination is a common issue in commercial cranberry production. Unknown or unwanted cranberry genotypes are found in commercial cranberry beds that are intended to be a single uniform genotype. Identification of contamination and the impact of contamination remain crucial issues for the cranberry industry to maintain long-term high productivity. To address this issue, tissue samples were taken from the former commercial beds of the new Wisconsin Cranberry Research Station (WCRS) for genetic fingerprinting analysis. The goal of this collection was to analyze the 10 beds for genetic uniformity to determine if any should be maintained or replaced, and to assess the accuracy of visual perception of genetic contamination in the field. A total of 288 DNA samples were collected in the 10 cranberry beds, and the ‘Stevens’ cultivar represented 180 samples or 69% of the 261 samples expected to be ‘Stevens.’ Therefore, the genotype contamination in the ‘Stevens’ beds was 31% overall. Overall, visual differentiation was accurate in distinguishing between genotypes and detecting large areas of contamination. A yield analysis was conducted along with the genotypic uniformity assessments, and a significant correlation was found between the 2017 yield of the beds and their level of genetic contamination. This study demonstrates the usefulness of genetic uniformity testing and mapping for cranberry bed management and renovation decision-making.

 抽象的

品种污染是商业蔓越莓生产中的一个常见问题。在商业蔓越莓床中发现了未知或不需要的蔓越莓基因型，这些蔓越莓床旨在成为单一统一的基因型。污染的识别和污染的影响仍然是蔓越莓产业保持长期高生产力的关键问题。为了解决这个问题，从新威斯康星州蔓越莓研究站 (WCRS) 的前商业床中采集了组织样本，用于基因指纹分析。该收集的目的是分析 10 个床的遗传一致性，以确定是否应维护或更换任何床，并评估现场遗传污染视觉感知的准确性。在 10 个蔓越莓床中总共收集了 288 个 DNA 样本，其中“史蒂文斯”品种代表了 180 个样本，占预计为“史蒂文斯”的 261 个样本的 69%。因此，“Stevens”床中的基因型污染总体为 31%。总体而言，视觉区分在区分基因型和检测大面积污染方面是准确的。产量分析与基因型均匀性评估一起进行，发现 2017 年床产量与其遗传污染水平之间存在显着相关性。这项研究证明了遗传一致性测试和绘图对于蔓越莓床管理和改造决策的有用性。