文章摘要
赖胜琪,尹. 聪,邱炬维,刁宏山,栗志民,刘志刚.北部湾沿海织锦巴非蛤不同地理群体形态差异研究[J].广东农业科学,2022,49(7):105-112
查看全文    HTML 北部湾沿海织锦巴非蛤不同地理群体形态差异研究
Morphological Variation Analysis of Different Paphia textileGeographical Populations Along the Coast of Beibu Gulf
  
DOI:10.16768/j.issn.1004-874X.2022.07.014
中文关键词: 织锦巴非蛤  形态差异  主成分分析  判别分析  聚类分析
英文关键词: Paphia textile  morphological difference  principal component analysis  discriminant analysis  cluster analysis
基金项目:广西创新驱动发展专项(桂科 AA19254032-3)
作者单位
赖胜琪,尹. 聪,邱炬维,刁宏山,栗志民,刘志刚  
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中文摘要:
      【目的】研究北部湾沿海 3 个织锦巴非蛤(Paphia textile)群体间的形态差异,对保护北部湾织 锦巴非蛤的种质资源、识别其地理群体以及人工选育具有重要意义。【方法】利用形态特征分析、方差分析、 主成分分析、判别分析和聚类分析等 5 种多元统计分析方法,对北部湾沿岸广西东兴、广西北海和广东湛江 3 个野生织锦巴非蛤群体进行形态学比较分析。【结果】北海群体壳型最圆,壳高系数为 0.585,贝壳较厚重,壳 厚系数为 0.033,壳质量系数为 0.388,软体部最饱满,软体质量系数为 0.134;东兴群体壳型最扁,壳高系数为 0.571,贝壳薄且轻,壳厚系数为 0.032,壳质量系数为 0.135;湛江群体贝壳隆起程度最低,壳宽系数为 0.366, 贝壳厚重,壳厚系数为 0.035,壳质量系数为 0.325。经主成分分析得到 3 个主成分,主成分 1、主成分 2、主成 分 3 的贡献率分别为 37.366%、22.205%、12.718%,累积贡献率为 72.289%。通过判別分析建立了 3 个群体的判 别函数,判别准确率 P1 为 94.00%~100.00%,P2 为 92.11%~100.00%,3 个群体的综合判别率为 97.56%。聚类分 析结果显示,湛江群体和广西北海群体形态最为接近,而与广西东兴群体差异较大,同时广西东兴群体的趋异 程度也最大。【结论】与广西北海群体和广东湛江群体相比较,广西东兴群体织锦巴非蛤形态差异最大,且种 群内个体间形态差异也最大,而广西北海群体与广东湛江群体的织锦巴非蛤在形态上更为相近。
英文摘要:
      【Objective】The study was carried out to explore the morphological differences among three Paphia textile populations, which was of great importance for germplasma resources conservation, geographical populations identification and artificial breeding of P. textile populations along the coast of Beibu Gulf.【Method】Based on 5 multivariate analysis methods (morphological characteristics analysis, variance analysis, principal component analysis, discriminant analysis and cluster analysis) were used to compare and analyze the morphological differences among three wild populations of P. textile in Beihai , Zhanjiang and Dongxing.【Result】The Beihai population in Guangxi had the most round shell, thicker shell and fuller soft part. The average shell height coefficient was 0.585, shell thickness coefficient was 0.033, shell weight coefficient was 0.388, and soft part weight coefficient was 0.134. The Dongxing population in Guangxi had thin and light shell with the flattest shell type. The average shell height coefficient was 0.571, shell thickness coefficient was 0.032, and shell weight coefficient was 0.135. The Zhanjiang population in Guangdong had thick shell with the lowest shell uplift degree. The shell width coefficient was 0.366, shell thickness coefficient was 0.035, and shell weight coefficient was 0.325. Three principal components were obtained by the principal component analysis method, the contribution rates of principal component 1, principal component 2 and principal component 3 were 37.366 22.205% and 12.718%, respectively; and the cumulative contribution rate was 72.289%. Then, the discrimination functions of the 3 populations were set up, the identification accuracy was 94.00%-100.00% (P1 ) and 92.11%-100.00% (P2 ) and the total discriminate accuracy was 97.56%. The results of cluster analysis indicated that the morphological characteristics of Zhanjiang population were similar to those of Beihai population, but quite different from those of Dongxing population. In addition, Dongxing population had the highest degree of divergence. 【Conclusion】Compared with the Beihai population in Guangxi and the Zhanjiang population in Guangdong, the Dongxing population in Guangxi has the largest differences in morphology, and among individuals within the population, while the morphology of the Beihai population in Guangxi is more similar to that of the Zhanjiang population in Guangdong.
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