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首页> 外文期刊>Australian Journal of Crop Science >Correlations among industrial traits in oat cultivars grown in different locations of Brazil
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Correlations among industrial traits in oat cultivars grown in different locations of Brazil

机译：巴西不同地区种植的燕麦品种工业性状之间的相关性

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Oat is an important cereal for human consumption and is increasing its share of the functional food market every year. Correlation estimates and path analyses based on data from different environments can help to identify the most important traits to increase industrial yield potential of oat genotypes. This can facilitate the development of strategies to achieve higher genetic gains for grain quality. Thus, this study aimed to estimate the correlations between traits related to industrial performance of oat cultivars grown in different environments. Also, the genetic correlation coefficients were partitioned by path analysis in in direct and indirect effects on industrial yield of grains, in order to identify traits that could be adopted in indirect selection strategies. In the crop seasons of 2007, 2008 and 2009, 15 oat cultivars were grown in two different locations, following a randomized complete block design with four replications. Variables related to grain yield, quality and industrial yield were evaluated. In each location the phenotypic, genetic and environmental correlations among traits were estimated, followed by partitioning of genetic correlations into direct and indirect effects on industrial grain yield through path analysis. The performance and the relationships between traits were modified in response to environmental effects, which can compromise the effectiveness of indirect selection. Hectoliter mass did not show a causal association with industrial yield. Grain yield, index of grains larger than 2 mm and number of grains per panicle presented positive direct effects on industrial yield of grains, however just the grain yield showed a strong and stable association. Thus, grain yield seems to be the most successful process of indirect selection for the genetic improvement of industrial yield of grains.
机译：燕麦是人类食用的重要谷物，并且每年在功能性食品市场中的份额都在增加。基于来自不同环境的数据的相关估计和路径分析可以帮助确定最重要的特征，以增加燕麦基因型的工业产量潜力。这可以促进策略的发展，以获得更高的谷物品质遗传增益。因此，本研究旨在估计与在不同环境下种植的燕麦品种的工业性能相关的性状之间的相关性。另外，通过路径分析将遗传相关系数划分为对谷物工业产量的直接和间接影响，以便确定可在间接选择策略中采用的性状。在2007年，2008年和2009年的作物季节中，按照随机完整的区组设计和四个重复步骤，在两个不同的位置种植了15个燕麦品种。评价了与谷物产量，质量和工业产量有关的变量。在每个位置估计性状之间的表型，遗传和环境相关性，然后通过路径分析将遗传相关性分为对工业谷物产量的直接和间接影响。表现和性状之间的关系被修改以响应环境影响，这可能会损害间接选择的有效性。百升质量与工业产量之间没有因果关系。籽粒产量，大于2mm的籽粒指数和每穗的粒数对谷物的工业产量表现出正的直接影响，但是仅谷物产量表现出强而稳定的关联。因此，谷物产量似乎是遗传选择提高谷物工业产量的最成功的间接选择过程。

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