Using DNA Information to Breed for Disease-resistant Strawberries

Q3 Agricultural and Biological Sciences Proceedings of the Royal Society of Queensland Pub Date : 2022-01-01 DOI:10.53060/prsq.2022-16
K. O’Connor, J. Neal, A. Gomez, J. De Faveri
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Abstract

Strawberries are susceptible to many diseases that cause damage to leaves and fruit, such as powdery mildew. Many chemical sprays are used to control disease, but there is an industry, environmental and societal push to move away from fungicides. Breeding for disease-resistant varieties offers an alternative approach, and DNA information can be used in this strategy. We identified multiple genetic markers linked with resistance to powdery mildew in leaves and fruit using a statistical modelling method called ‘genome-wide association studies’. We also used DNA information across the entire genome to predict the susceptibility of different strawberry varieties. These results will help Queensland strawberry breeders to identify candidate varieties that are resistant to powdery mildew without expensive and time-consuming disease screening trials. These statistical methods can also be applied to other diseases, as well as yield and fruit quality traits.
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利用DNA信息培育抗病草莓
草莓容易受到许多疾病的影响,这些疾病会对叶子和果实造成损害,比如白粉病。许多化学喷雾剂被用来控制疾病,但工业、环境和社会都在推动远离杀菌剂。培育抗病品种提供了另一种方法,DNA信息可用于这一策略。我们使用一种称为“全基因组关联研究”的统计建模方法,在叶子和果实中发现了与白粉病抗性相关的多个遗传标记。我们还利用整个基因组的DNA信息来预测不同草莓品种的易感性。这些结果将帮助昆士兰州的草莓育种者在没有昂贵和耗时的疾病筛选试验的情况下确定抗白粉病的候选品种。这些统计方法也可以应用于其他病害,以及产量和果实品质性状。
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来源期刊
Proceedings of the Royal Society of Queensland
Proceedings of the Royal Society of Queensland Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
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