Salt stress in rice: multivariate analysis separates four components of beneficial silicon action
Salt stress in rice: multivariate analysis separates four components of beneficial silicon action
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DOI：
10.1007/s00709-018-1293-2
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发表时间：
2019-03-01
期刊：
影响因子：
2.9
通讯作者：
Chaidee, Anchalee
中科院分区：
文献类型：
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作者：
Lekklar, Chakkree;Chadchawan, Supachitra;Chaidee, Anchalee
在盐胁迫的水稻中，有多少个亚细胞靶点存在有益的硅效应？在这里，我们研究了硅对盐胁迫的不同组成部分的影响，即渗透胁迫、钠和氯毒性。通过对水稻幼苗测定的18个变量的多变量分析，将这些成分分离出来。在已知所有变量之间的回归关系的情况下，多元分析可以分解向量并提取目标作为主成分。因此，对所有变量之间的153个相关和306个回归模型进行了探索，确定了地上部变量(硅、钠、氯、类胡萝卜素、叶绿素a和b以及相对生长速率)和地上部和根部变量(过氧化氢、抗坏血酸过氧化物酶(APX)、过氧化氢酶(CAT)、鲜重、干重、根冠比)的回归参数。回归模型[log(Y)=y(0)+axlog(X)]经全局拟合优度方差分析(p
How many subcellular targets of the beneficial silicon effect do exist in salt-stressed rice? Here, we investigate the effects of silicon on the different components of salt stress, i.e., osmotic stress, sodium, and chloride toxicity. These components are separated by multivariate analysis of 18 variables measured in rice seedlings (Oryza sativa L.). Multivariate analysis can dissect vectors and extract targets as principal components, given the regressions between all variables are known. Consequently, the exploration of 153 correlations and 306 regression models between all variables is essential, and regression parameters for variables of shoot (silicon, sodium, chloride, carotenoids, chlorophylls a and b, and relative growth rate) and variables of shoot and root (hydrogen peroxide, ascorbate peroxidase (APX), catalase (CAT), fresh weight, dry weight, root-to-shoot ratio) are determined. The regression models [log (y)=y(0)+axlog (x)] are confirmed by variance analysis of global goodness of fits (p