农业科学与技术(英文版)
農業科學與技術(英文版)
농업과학여기술(영문판)
AGRICULTURAL SCIENCE & TECHNOLOGY
2010年
6期
57-60,174
,共5页
贺道华%邢宏宜%李婷婷%赵艳宁%ZHAO Yan-ning
賀道華%邢宏宜%李婷婷%趙豔寧%ZHAO Yan-ning
하도화%형굉의%리정정%조염저%ZHAO Yan-ning
棉花%核心库%纤维品质%遗传多样性%种质资源
棉花%覈心庫%纖維品質%遺傳多樣性%種質資源
면화%핵심고%섬유품질%유전다양성%충질자원
Cotton%Core collection%Fiber quality%Genetic diversity%Germplasm resource
通过对来自3个栽培种(陆地棉、海岛棉和亚洲棉)的92份棉花资源的9个性状的调查和分析,变异系数、特异材料百分比和Shannon-Weaver多样性值均表明该群体蕴含较丰富的遗传变异;利用软件NTSYS-pc,采用类平均法(UPGMA)对相似系数矩阵和遗传距离矩阵进行聚类分析,结果表明品种间的遗传关系与品种所属的种及系谱吻合性较高;利用软件QGAStation筛选出核心材料22份,方差差异百分率、均值差异百分率、极差符合率和变异系数变化率相关统计学指标显示核心材料组遗传多样性与原群体基本一致.基于表型的遗传多样性分析及核心材料的筛选将为后续的育种工作和基础研究提供重要的参考信息.
通過對來自3箇栽培種(陸地棉、海島棉和亞洲棉)的92份棉花資源的9箇性狀的調查和分析,變異繫數、特異材料百分比和Shannon-Weaver多樣性值均錶明該群體蘊含較豐富的遺傳變異;利用軟件NTSYS-pc,採用類平均法(UPGMA)對相似繫數矩陣和遺傳距離矩陣進行聚類分析,結果錶明品種間的遺傳關繫與品種所屬的種及繫譜吻閤性較高;利用軟件QGAStation篩選齣覈心材料22份,方差差異百分率、均值差異百分率、極差符閤率和變異繫數變化率相關統計學指標顯示覈心材料組遺傳多樣性與原群體基本一緻.基于錶型的遺傳多樣性分析及覈心材料的篩選將為後續的育種工作和基礎研究提供重要的參攷信息.
통과대래자3개재배충(륙지면、해도면화아주면)적92빈면화자원적9개성상적조사화분석,변이계수、특이재료백분비화Shannon-Weaver다양성치균표명해군체온함교봉부적유전변이;이용연건NTSYS-pc,채용류평균법(UPGMA)대상사계수구진화유전거리구진진행취류분석,결과표명품충간적유전관계여품충소속적충급계보문합성교고;이용연건QGAStation사선출핵심재료22빈,방차차이백분솔、균치차이백분솔、겁차부합솔화변이계수변화솔상관통계학지표현시핵심재료조유전다양성여원군체기본일치.기우표형적유전다양성분석급핵심재료적사선장위후속적육충공작화기출연구제공중요적삼고신식.
In that DNA diversity detected nowadays could not mean phenotypic diversity, it is the precondition of breeding project and basic research of crop improvement that genetic diversity analysis and sampling of core collection by phenotypes. Phenotyping and statistic analysis on 9 traits of 92 accessions of cotton germplasm resource from three species (Gossypium hirsutum L., Gossypium barbadence L. and Gossypium arboreum L.) were conducted. And the statistics (variation coefficient, proportion of special accessions and Shannon-Weaver information index) indicated that initial collection had abundant phenotypic diversity; software NTSYS-pc and the unweighted pair group method of arithmetic (UPGMA) were used for the cluster analysis on genetic similarity coefficient and genetic distance matrix, and the result showed that the genetic relationship among accessions was highly consistent with the pedigree; 22 accessions of core collection were selected by software QGAStation, four statistics, such as variance difference percentage (VD%), mean difference percentage (MD%), coincidence rate (CR%) and variable rate(VR%), showed that the genetic diversity of core collection was approximately equal to the initial collection. The results of genetic diversity analysis based on phenotypic data and sampling of core collection would provide reference for breeding projects and basic research.