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首页> 外文期刊>Chilean Journal of Agricultural Research >Genetic diversity of elephant grass (Cenchrus purpureus [Schumach.] Morrone) for energetic production based on quantitative and multi-category traits
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Genetic diversity of elephant grass (Cenchrus purpureus [Schumach.] Morrone) for energetic production based on quantitative and multi-category traits

机译:基于定量和多类性状的象草(Cenchrus purpureus [Schumach。] Morrone)的高能生产遗传多样性

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Elephant grass (Cenchrus purpureus (Schumach.( Morrone) has been used as an alternative source of energy. It is widely cultivated in Brazil, however it needs genotypes adapted to different ecosystems of the country. The knowledge of genetic diversity allows the identification of genotypes that can be used in breeding programs. Thus, this study aimed to evaluate the diversity among 85 genotypes of elephant grass by Tocher's clustering method and by the unweighted pair group method with arithmetic averages (UPGMA), using quantitative and multi-category traits in 2 yr of evaluations. The experiment was implemented in the State Center for Research on Bioenergy and Waste Use at Pesagro-Rio, located in Campos dos Goytacazes, Rio de Janeiro, Brazil. Eighty-five elephant grass genotypes donated by the Active Elephant Grass Germplasm Bank of Embrapa Dairy Cattle, in Coronel Pacheco, Minas Gerais, Brazil, were included in the experiment. The experimental design was arranged as randomized blocks, with two replicates. Based on the quantitative traits, the 85 genotypes analyzed belonged to 17 groups according to Tocher's optimization method and to 13 groups when analyzed by UPGMA. For the qualitative traits, however, the genotypes formed 10 groups for both methods. Therefore, the multivariate technique indicated genetic divergences among the genotypes and allowed the formation of similarity groups by Tocher's optimization and UPGMA methods for both the quantitative and qualitative traits.
机译:象草(Cenchrus purpureus(Schumach。(Morrone))已被用作替代能源。在巴西广泛种植,但是需要适合该国不同生态系统的基因型。遗传多样性的知识可用于鉴定基因型。因此,本研究旨在通过Tocher的聚类方法和算术平均值的非加权对组方法(UPGMA),使用2种定量和多类性状来评估85种基因型象草的多样性。在每年的评估中,该实验是在巴西里约热内卢的Campos dos Goytacazes的Pesagro-Rio国家生物能源和废物利用研究中心进行的,活动象草种质库捐赠了八十五种象草基因型。实验包括位于巴西米纳斯吉拉斯州Coronel Pacheco的Embrapa乳牛组织,该实验设计按随机区组排列,有两个副本。根据数量性状,根据Tocher's优化方法分析的85个基因型属于17个组,而通过UPGMA分析的则属于13个组。但是,对于定性性状,两种方法的基因型均形成10个组。因此,多变量技术表明了基因型之间的遗传差异,并允许通过Tocher优化和UPGMA方法对数量和定性性状形成相似性组。

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