首页> 外文期刊>Revista Mexicana de Ciencias Pecuarias >Phenotypic and molecular characterization of populations of arizona cottontop [Digitada californica (Benth.) Henr.]
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Phenotypic and molecular characterization of populations of arizona cottontop [Digitada californica (Benth.) Henr.]

机译:亚利桑那棉顶种群[Digitada californica(Benth。)Henr。]的表型和分子特征。

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Phenotypic and genotypic diversity were explored and characterized in arizona cottontop [Digitaria californica (Benth.) Henr.] populations at Chihuahua state grasslands. Principal component and cluster analysis were applied to the data using Ward method. There were differences (P<0.05) within variables and high phenotypic and genotypic diversity were detected among populations. Three principal components explain 79 % of the variation on 91 ecotypes. For the PCI, shoots number, biomass and forage height were the variables contributed on morphological diversity. Those variables are related with forage production and regrowth. When analyzing the correlation of PCI with forage yield, was observed that as stem density increased, forage yield was also increased at about the same proportion (r = 0.94, P<0.01). A similar effect occurred on the forage yield with forage height (r= 0.77, P<0.01), plant height (r= 0.72, P<0.01) and tiller diameter (r= 0.72, P<0.01). According with Ward method, five groups weredetected. Molecular markers showed 179 bands which represents 86.3 % of the polymorphism (154 bands) and 13.7 % of the monomorphysm (25 bands). Polymorphic bands were 38, 38, 38, and 40 for EcoRI-AAG+Msel-CTG, EcoRI-ACT+Msel-CTG, EcoRI-AGG+Msel-CAG y EcoRI-AAC+Msel-CAG combination, respectively. The AFLP discriminated the 30 populations evaluated with similitud values between 0.14 and 0.55. Ecotypes PB-270 and PB-277 in one side and PB-313 and PB-337 had the highest genetic heterogeneity; they have thelowest similitude (0.14). Ecotypes with high forage potential, based on morphology and genetic variability, were identified (ecotypes 505 y 596).
机译:在奇瓦瓦州草原的亚利桑那棉顶[Digitaria californica(Benth。Henr。)]种群中研究了表型和基因型多样性。使用Ward方法将主成分和聚类分析应用于数据。变量之间存在差异(P <0.05),并且在人群之间检测到高的表型和基因型多样性。三个主要成分解释了91种生态型变异的79%。对于PCI,枝条数,生物量和饲草高度是影响形态多样性的变量。这些变量与草料生产和再生长有关。分析PCI与饲草产量的相关性时,观察到随着茎密度的增加,饲草产量也以大约相同的比例增加(r = 0.94,P <0.01)。饲草高度(r = 0.77,P <0.01),株高(r = 0.72,P <0.01)和分er直径(r = 0.72,P <0.01)对饲草产量产生了类似的影响。根据沃德方法,共检测出五组。分子标记显示179条带,占多态性的86.3%(154条带)和13.7%的单态性(25条带)。 EcoRI-AAG + Msel-CTG,EcoRI-ACT + Msel-CTG,EcoRI-AGG + Msel-CAG和EcoRI-AAC + Msel-CAG组合的多态性谱带分别为38、38、38和40。 AFLP区分了30个人群,其相似值在0.14至0.55之间。一侧的PB-270和PB-277型以及PB-313和PB-337型具有最高的遗传异质性。它们具有最低的相似度(0.14)。根据形态和遗传变异性,确定了具有高觅食潜力的生态型(生态型505 y 596)。

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