塞尔维亚北部小麦品种产量和产量构成的评价及其变异

Maja Šumaruna, S. Mikić, V. Mladenov, J. Bocanski, Rada Šućur, D. Trkulja
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引用次数: 0

摘要

本研究的目的是研究塞尔维亚北部小麦品种的产量和产量组成的变异性,检查和可视化它们的分组和关系,并使用主成分分析(PCA)确定它们性状之间的相关性。诺维萨德大田和蔬菜作物研究所的Rimski šančevi实验站在2018/2019和2019/2020生长季对10个不同国家70多年来开发的15种小麦基因型(Triticum aestivum L.)进行了分析。对小麦的穗重、穗粒数、穗粒数、千粒重和产量等性状进行了表型分析。数据分析使用描述性统计、方差分析、所考虑性状之间相互作用的相关分析和主成分分析。结果表明,在所检测的所有性状中,基因型之间存在显著差异。相关分析显示,产量与几乎所有产量成分之间均呈显著正相关。主成分分析证实了各性状之间的关系,并根据其表现对基因型进行了分组,突出了适合未来育种和研究的基因型。
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Evaluation of and Variability in Yields and Yield Components of Wheat Cultivars in Northern Serbia
Summary The purpose of this research is to examine the variability in yields and yield components of wheat cultivars in Northern Serbia, examine and visualize their groupings and relationships, and determine the correlations between their traits using principal components analysis (PCA). A total of fifteen wheat genotypes (Triticum aestivum L.), developed in 10 different countries over a period exceeding 70 years, were analyzed during the growing seasons of 2018/2019 and 2019/2020 at Rimski šančevi, the experimental station of the Institute of Field and Vegetable Crops in Novi Sad. A phenotypic analysis was performed for the following wheat traits: spike weight, number of spikelets per spike, number of grains per spike, thousand grain weight, and grain yield. Data analysis was performed using descriptive statistics, an analysis of variance, a correlation analysis for interactions between the traits considered, and PCA. The results obtained indicate significant differences between the genotypes according to all the traits examined. The correlation analysis revealed significant positive correlations between the yields produced and nearly all yield components. The PCA confirmed the relationship between the traits examined, grouped the genotypes according to their performance, and highlighted the genotypes eligible for future breeding and research.
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