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首页> 外文期刊>Journal of Agricultural Science >Selection of Morphoagronomic Descriptors in Physalis angulata L. Using Multivariate Techniques
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Selection of Morphoagronomic Descriptors in Physalis angulata L. Using Multivariate Techniques

机译:多元技术选择酸浆中形态农艺学描述语

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This study aimed at selecting determinant morphoagronomic descriptors to characterize and evaluate Physalis angulata L.germplasm.Twelve quantitative and twenty-two qualitative descriptors were analyzed in six accessions of P.angulata coming from the physalis germplasm collection belonging to the State University of Feira de Santana-BA.The selection and discharge of quantitative descriptors was based on the direct selection and on the Singh method, while qualitative descriptors were analyzed through entropy.The statistic analyses were carried out using the GENES and R programs.Ten quantitative descriptors were excluded through direct selection and five through the Singh method.However, only four descriptors were considered redundant by both methods: east-west fruit, weight of five ripe fruits, width of leaf blade and total soluble solids.Although the total soluble solids descriptor was appointed for discharge, it was included in the group of descriptors selected due to its importance in the characterization of physalis fruit.The list of minimum descriptors to describe physalis accessions comprised 15 descriptors: plant height, stem diameter, north-south fruits, number of fruits per plant, leaf blade length, internode length, fruit longitudinal length, fruit transversal length, total soluble solids, growth habit, stem color, leaf margin shape, unripe calyx color, unripe fruit shape and color.These were nine quantitive and six qualitative descriptors, respectively.The discharge of 55.88% of the descriptors did not cause significant loss of information and might allow the reduction of time and resources spent to characterize and evaluate physalis germplasm.
机译:本研究旨在选择决定性形态农艺学指标来表征和评估酸浆Phys。在来自费拉·德·桑塔纳州立大学的酸浆种质资源库的六种ions虫中,分析了十二种定量和二十二种定性指标-BA。定量描述符的选择和排出是基于直接选择和Singh方法,而定性描述符是通过熵进行分析的;统计分析使用GENES和R程序进行;十个定量描述符通过直接排除选择和通过Singh方法选择五个,但两种方法都认为只有四个描述符是多余的:东西向水果,五个成熟水果的重量,叶片的宽度和总可溶性固形物尽管总可溶性固形物描述符被指定用于排放,由于其在用于描述酸浆种质的最小描述子列表包括15个描述子:株高,茎粗,南北果实,单株果实数,叶片长度,节间长度,果实纵向长度,果实横向长度总可溶性固形物,生长习性,茎色,叶缘形状,未成熟的花萼颜色,未成熟的果实形状和颜色,分别为9个定量和6个定性描述子,排放55.88%的描述子并没有造成显着损失信息,可能会减少用于表征和评估酸浆种质的时间和资源。

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