M. Ikram, Chahbar Mohammed, Ilias Faiza, S. Gaouar
{"title":"Characterization and Morphological Typology Of Fig Variety (Ficus carica) In The Tlemcen Region","authors":"M. Ikram, Chahbar Mohammed, Ilias Faiza, S. Gaouar","doi":"10.46325/GABJ.V0I0.939","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to describe morpho-biometric and identify fig varieties in Tlemcen region, based on 33 morphological markers (24 qualitative and 9 quantitative traits). The samples collected are processed by the ImageJ software for taking measurements. The statistical analysis was carried out using the SAS version 9 software. The results of the descriptive analysis of morphological traits studied allowed us to describe each variety and estimated the variability associated with each character of the different varieties sampled. The results of the principal Component Analysis (PCA) allowed the distinction of nine groups. Comparison of the data collected for each two-to-two variety and the estimate of the square distance between them showed that there is a highly significant difference between all local varieties. Then the comparison between local varieties and imports allowed the population to be separated into 16 distinct groups. Statistical analysis identified skin color as the primary discriminating factor between local varieties followed by fruit length, apical branching and leaf count per shoot. Statistical analysis of qualitative and quantitative morphological data from the 33 characters in study is to be effective for the distinction of new local varieties. That said, morpho-biometric description and local variety identification must be verified by the molecular tool to embark on an effective program of management and genetic improvement of this important biological resource.","PeriodicalId":12670,"journal":{"name":"GABJ","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GABJ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46325/GABJ.V0I0.939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this study is to describe morpho-biometric and identify fig varieties in Tlemcen region, based on 33 morphological markers (24 qualitative and 9 quantitative traits). The samples collected are processed by the ImageJ software for taking measurements. The statistical analysis was carried out using the SAS version 9 software. The results of the descriptive analysis of morphological traits studied allowed us to describe each variety and estimated the variability associated with each character of the different varieties sampled. The results of the principal Component Analysis (PCA) allowed the distinction of nine groups. Comparison of the data collected for each two-to-two variety and the estimate of the square distance between them showed that there is a highly significant difference between all local varieties. Then the comparison between local varieties and imports allowed the population to be separated into 16 distinct groups. Statistical analysis identified skin color as the primary discriminating factor between local varieties followed by fruit length, apical branching and leaf count per shoot. Statistical analysis of qualitative and quantitative morphological data from the 33 characters in study is to be effective for the distinction of new local varieties. That said, morpho-biometric description and local variety identification must be verified by the molecular tool to embark on an effective program of management and genetic improvement of this important biological resource.
本研究利用33个形态标记(24个定性性状和9个数量性状)对特莱姆森地区无花果品种进行形态生物特征描述和鉴定。采集的样品经ImageJ软件处理后进行测量。采用SAS version 9软件进行统计分析。形态学特征的描述性分析结果使我们能够描述每个品种,并估计与不同品种的每个特征相关的变异。主成分分析(PCA)的结果允许区分9组。对各二对二品种采集的数据进行比较,并对它们之间的平方距离估计值进行比较,结果表明各地方品种之间存在极显著差异。然后将本地品种和进口品种进行比较,将种群分为16个不同的群体。统计分析表明,皮肤颜色是地方品种间的主要判别因素,其次是果实长度、顶端分枝和每枝叶数。对所研究的33个性状的定性和定量形态学资料进行统计分析,对地方新品种的鉴别是有效的。也就是说,形态生物特征描述和本地品种鉴定必须通过分子工具进行验证,以便对这一重要的生物资源进行有效的管理和遗传改良。