阿尔及利亚西部三个野生山柑自然种群叶片和果实形态变异性的评估

Kawther M. Abdelhamid, N. Bouchenafa, K. Mederbal, F. Dahlia
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引用次数: 0

摘要

刺山柑属山柑科植物,是一种具有重要经济、药用和生态价值的自发性植物。本研究通过测量叶、果实和种子的形态特征,对阿尔及利亚西部三个刺山柑种群的形态变异性进行了估计。方差分析结果表明,差异有显著性(P<0.05),其中Taghit(Bechar)和Sidi Belattar(Mostaganem)群体表现出最好的形态性状。Taghit群体的叶长(35.62±3.47mm)、果宽(35.62?.47mm)、果实重量(11.06±2.74g)、花序梗长度(79.55±12.26mm)和每果种子数(157±40.20)的平均值最好。Sidi Belattar群体的叶宽(39.24±3.89mm)、叶柄长度(11.309±2.02mm)、果实长度(42.433±4.15mm)最高,种子长度(3.46±0.20mm)和千粒重(12.15±1.75g)。而Mghila(Tiaret)群体在大多数形态性状上的平均值最低。主成分分析(PCA)显示,研究种群之间存在地理分离,多态性为83.31%。使用Ward距离的层次分类将种群分为与气候和土壤梯度相关的两个聚类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of morphological variability of leaves and fruits of three natural populations of wild caper (Capparis spinosa L.) in western Algeria
Capparis spinosa L., family Capparidaceae, is a spontaneous plant of great economic, medicinal and ecological importance. This study focused on the estimation of morphological variability of three populations of the spiny caper from western Algeria by measuring morphological traits of leaves, fruits and seeds. Variance analysis showed that there were significant (P<0.05) difference (number of seeds per fruit) to highly significant (P<0.001) difference (the other morphological traits) between the three spontaneous caper natural populations with coefficients of variation ranging from 6.39% to 24.11%. There were no interpopulation differences for fruit width (P>0.05). The populations of Taghit (Bechar) and Sidi Belattar (Mostaganem) showed the best morphological traits. The population from Taghit had the best means for leaf length (35.62±3.47 mm), fruit width (35.62±3.47 mm), fruit weight (11.06±2.74 g), peduncle length (79.55±12.26 mm) and number of seeds per fruit (157±40.20). The population from Sidi Belattar was characterized by the highest leaf widths (39.24±3.89 mm), petiole lengths (11.309±2.02 mm), fruit lengths (42.433±4.15 mm), seed lengths (3.46±0.20 mm) and thousand seed weights (12.15±1.75 g). While the population from Mghila (Tiaret) had the lowest means for most morphological traits. Principal component analysis (PCA) showed a geographical separation between the studied populations with a polymorphism of 83.31%. The hierarchical classification using Ward’s distance classified the populations into two clusters related to climatic and edaphic gradients.
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