首页> 外文期刊>Plant and Soil >Exploration of relationships between physiological parameters and growth performance of rice (Oryza sativa L.) seedlings under salinity stress using multivariate analysis.
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Exploration of relationships between physiological parameters and growth performance of rice (Oryza sativa L.) seedlings under salinity stress using multivariate analysis.

机译:利用多元分析探讨盐胁迫下水稻幼苗生理参数与生长性能的关系。

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Knowledge of relationships between physiological parameters and growth performance of seedlings and respective genotypic differences would permit selection of salt tolerance at early growth stages. The goals of this study were to investigate the relationships between physiological parameters and growth performance and quantify the respective genotypic differences using multivariate analysis. Plants of thirty-one genotypes were grown in sand tanks in a greenhouse and irrigated with Yoshida nutrient solution. Two salinity treatments were imposed at 0.9 dS m-1 (control) and 6.4 dS m-1 with sodium chloride and calcium chloride (~6:1 molar ratio). Seedlings were sampled 34 days after planting (7th to 8th leaf stage). The characters of Na+, K+, Ca2+, K-Na selectivity (SK,Na) and Na-Ca selectivity (SNa,Ca) were measured as physiological parameters. The characters of tiller number, leaf area, plant height and shoot dry weight were measured as growth performance. Under salinity stress, SK,Na increased whereas SNa,Ca decreased compared to the controls. Canonical correlation analysis indicates a strong relationship between physiological parameters and growth performance. Tiller number is a desirable parameter among the growth parameters analyzed to predict seedling growth under salinity stress. Genotypes grouped into four clusters based on ion contents and ion selectivity using Ward's minimum-variance cluster analysis. SK,Na and shoot Na+ content contributed the most to the cluster formation. Similarly, genotypes grouped into four clusters based on growth performance. Genotypes were classified into three categories based on ion cluster rankings: Category 1 with high SK,Na and low shoot Na+ content.; Category 2 with intermediate SK,Na and shoot Na+ content; Category 3 with low SK,Na and high shoot Na+ content. The classification of the genotypes into Categories 1 and 3 based on their high or low SK,Na was generally consistent with their growth performance under salt stress. In contrast, ion selectivity was a less dominant mechanism controlling salt tolerance in Category 2 with intermediate SK,Na. It was concluded that ion selectivity was a relatively dominant mechanism controlling salt tolerance among rice genotypes although multiple mechanisms may be involved under moderate salt stress. The results also provide the first example of the effectiveness of cluster analysis for physiological responses to salinity stress..
机译:了解幼苗的生理参数与生长性能之间的关系以及相应的基因型差异,可以选择生育早期的耐盐性。这项研究的目的是调查生理参数与生长性能之间的关系,并使用多变量分析量化各自的基因型差异。将三十一种基因型的植物在温室的沙缸中生长,并用吉田营养液灌溉。用氯化钠和氯化钙(〜6:1摩尔比)分别在0.9 dS m-1(对照)和6.4 dS m-1处进行两种盐度处理。种植后第34天(第7至第8叶期)对幼苗进行采样。测定Na +,K +,Ca 2+,K-Na选择性(SK,Na)和Na-Ca选择性(SNa,Ca)的特性作为生理参数。测定了分number数,叶面积,株高和枝干重的特性,作为生长性能。在盐胁迫下,与对照相比,SK,Na增加而SNa,Ca减少​​。典型的相关性分析表明生理参数和生长性能之间有很强的关系。分analyzed数是用于预测盐分胁迫下幼苗生长的生长参数中的理想参数。使用沃德最小方差聚类分析,基于离子含量和离子选择性将基因型分为四个簇。 SK,Na和芽Na +含量对团簇形成的贡献最大。同样,基因型根据生长表现分为四个簇。根据离子簇的排名,将基因型分为三类:SK,Na含量高且芽中Na +含量低的类别1。类别2,具有中等的SK,Na和芽Na +含量;低SK,Na和高Na +含量的类别3。根据它们的高或低SK,Na将基因型分为1类和3类,通常与其在盐胁迫下的生长性能一致。相反,在中等SK,Na的2类中,离子选择性是控制盐耐受性的主要机制。结论是,离子选择性是控制水稻基因型耐盐性的相对主要机制,尽管在中等盐胁迫下可能涉及多种机制。该结果还提供了第一个有效的对盐分胁迫生理响应的聚类分析有效性的例子。

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