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High-Throughput Genotype Morphology and Quality Traits Evaluation for the Assessment of Genetic Diversity of Wheat Landraces from Sicily

机译:高通量基因型形态学和质量特征评价以评估西西里岛小麦地方品种的遗传多样性。

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摘要

During the XX Century, the widespread use of modern wheat cultivars drastically reduced the cultivation of ancient landraces, which nowadays are confined to niche cultivation areas. Several durum wheat landraces adapted to the extreme environments of the Mediterranean region, are still being cultivated in Sicily, Italy. Detailed knowledge of the genetic diversity of this germplasm could lay the basis for their efficient management in breeding programs, for a wide-range range of traits. The aim of the present study was to characterize a collection of durum wheat landraces from Sicily, using single nucleotide polymorphisms (SNP) markers, together with agro-morphological, phenological and quality-related traits. Two modern cv. Simeto, Claudio, and the hexaploid landrace, Cuccitta, were used as outgroups. Cluster analysis and Principal Coordinates Analysis (PCoA) allowed us to identify four main clusters across the analyzed germplasm, among which a cluster included only historical and modern varieties. Likewise, structure analysis was able to distinguish the ancient varieties from the others, grouping the entries in seven cryptic genetic clusters. Furthermore, a Principal Component Analysis (PCA) was able to separate the modern testers from the ancient germplasm. This approach was useful to classify and evaluate Sicilian ancient wheat germplasm, supporting their safeguard and providing a genetic fingerprint that is necessary for avoiding commercial frauds to sustaining the economic profits of farmers resorting to landraces cultivation.
机译:在二十世纪期间,现代小麦品种的广泛使用极大地减少了古代地方品种的种植,如今这些地方品种仅限于利基种植区。在意大利的西西里岛,仍在种植几种适应地中海地区极端环境的硬质小麦品种。对这种种质的遗传多样性的详细了解,可以为它们在广泛的性状育种计划中进行有效管理奠定基础。本研究的目的是使用单核苷酸多态性(SNP)标记以及农业形态,物候和质量相关性状来表征来自西西里岛的硬质小麦地方品种的特征。两个现代简历。 Simeto,Claudio和六倍体长种Cuccitta被用作分组。聚类分析和主坐标分析(PCoA)使我们能够确定所分析种质的四个主要聚类,其中一个聚类仅包含历史和现代品种。同样,结构分析能够将古代变种与其他变种区分开来,将条目分组为七个隐性遗传簇。此外,主成分分析(PCA)能够将现代测试人员与古代种质分开。这种方法对于分类和评估西西里古小麦种质,支持其保护并提供遗传指纹是很有用的,这对于避免商业欺诈对维持采用地方品种种植的农民的经济利润而言是必要的。

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