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Evaluation and Characterization of Germplasm: An Example Using Poa pratensis

机译:种质资源的鉴定与鉴定:以草地早熟禾为例

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Effective utilization of plant genetic resources is enhanced by characterization of germplasm collections. This is especially true when adapted germplasm is a limiting factor, as is often true for new sustainable agricultural systems. Characterization involves three basic steps: evaluation, analysis, and documentation. These steps were completed on the USDA collection of Poa pratensis L., a widely used forage and turf grass species. Seed production fields of P. pratensis provide a low soil erosion alternative to annual cropping systems. A collection of 228 accessions representing 26 countries, along with 17 commercial check cultivars, was characterized using 86 random amplified polymorphic DNA (RAPD) markers and 17 agronomic descriptors. Univariate analysis revealed differences in all agronomic factors measured, and accessions with high seed production and potentially high turf quality were identified. Cluster analysis of RAPD data revealed 11 accessions with particularly low similarity values. These were subsequently found to be misidentified Poa species. For RAPD and agronomic data the majority of accessions fell within a relatively few clusters, suggesting that unique genotypes were generally under represented in the collection. Correlation between the RAPD and agronomic-based distance matrices, excluding misidentified accessions, was highly significant (P<0.01) (n=234, r = -0.14). However, the correlation represented a relatively small fraction of the total variation, indicating that both molecular and agronomic characterizations were needed to assess overall diversity. For documentation, the agronomic data is available upon request and on the Germplasm Resources Information Network (GRIN).
机译:通过鉴定种质资源,可以有效利用植物遗传资源。当适应的种质是一个限制因素时,尤其如此,这对于新型可持续农业系统而言常常如此。表征涉及三个基本步骤:评估,分析和记录。这些步骤是在美国农业部收集的广泛使用的牧草和草皮植物波阿普拉斯(Poa pratensis L.)上完成的。南美白对虾的种子生产田地可以替代一年生种植系统,从而降低土壤侵蚀。使用86个随机扩增多态性DNA(RAPD)标记和17个农艺学描述符对代表26个国家的228个保藏号以及17个商业检查品种进行了鉴定。单变量分析揭示了所测量的所有农艺因子之间的差异,并且鉴定了具有高种子产量和潜在高草皮质量的种质。 RAPD数据的聚类分析揭示了11个相似度值特别低的种质。随后发现这些是误认的Poa物种。对于RAPD和农艺学数据,大多数种质都位于相对较少的簇中,这表明独特的基因型通常在集合中代表性不足。 RAPD与基于农学的距离矩阵之间的相关性(不包括错误识别的种质)非常显着(P <0.01)(n = 234,r = -0.14)。但是,相关性仅占总变化的一小部分,表明评估总体多样性既需要分子特性又需要农艺特性。为了进行记录,可根据要求并在种质资源信息网络(GRIN)上获得农艺数据。

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