3.5. Canonical correlation analysisThe R function cancor was used to c的简体中文翻译

3.5. Canonical correlation analysis

3.5. Canonical correlation analysisThe R function cancor was used to calculate the correlation between the NMR signal intensity of soluble metabolites and the content of mineral nutrients in tomato fruits. The canonical vari- ates of each production system were divided into three groups: organic and amino acid, sugar, and aromatic regions. The variates of each group were analysed by Tukey’s HSD test for comparing statistical difference in the canonical correlations among the production systems. The p values of the test are shown in Supple- mental Table 4A–C. The canonical variates of the organic and amino acid group were affected by pesticide application in combination with chemical fertilizers, but not by chemical fertiliz- ers alone or organic fertilizers in combination with pesticides. The fertilizer type affected the canonical variates of sugar groups, but pesticide application had no significant effect on the variates. The canonical correlations between mineral nutrient contents and aromatic substances were significantly influenced by the fertilizer type and the application of pesticides, except in the combined application of chemical fertilizers and pesticides.Fig. 4 shows the correlation between the NMR signal intensity of soluble metabolites and the content of mineral nutrients in tomato fruits. While the application of organic fertilizers resulted in positive correlations between the contents of Mg, P, K, and Fe and the signal intensity of organic and amino acids, the addition of pesticide application lowered the correlations. Conversely, the application of organic fertilizers resulted in negative correlations with the content of Ca, and the addition of pesticide application increased the negative correlations. While the application of chem- ical fertilizers resulted in positive correlations between the con- tents of Mg, P, K, Mn, and Zn and the signal intensity of organic and amino acids, the addition of pesticide application increased the positive correlations with the contents of P, Mn, and Fe, and increased the negative correlations with the content of Ca. The application of organic fertilizers resulted in positive and negative correlations between the Mg, P, and K contents and the signal intensity of sugars, but the addition of pesticide application had almost no effect on these correlations. The correlations between Ca content and the signal intensity of sugars had adverse interac- tions with other minerals. The application of chemical fertilizers and pesticides increased the positive and negative correlations between P, Mn, and Fe contents and the signal intensity of sugars, but had almost no effect on the correlation between Ca and sugars. Large positive correlations between Mn and Fe contents and the signal intensity of each metabolite, except for some sugars (d 3.4–4.0ppm), and negative correlations between Ca and the metabolites were observed in tomatoes cultured with the applica- tion of chemical fertilizers and pesticides.
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3.5。典型相关分析<br>R函数cancor用于计算可溶性的代谢物的NMR信号强度和矿质营养的番茄果实中的内容之间的相关性。每个生产系统的规范vari-茨分为三组:有机和氨基酸,糖,和芳族区域。每个组的变元是由杜克的HSD测试生产系统之间的标准相关比较统计学差异分析。测试的P值示于Supple-心理表4A-C中。有机和氨基酸基团的典型变量与化肥组合物受到农药的应用,但不是由单独化学肥料或与杀虫剂组合的有机肥料。糖基团的影响规范的肥料类型个变量,但农药施用对的变元没有显著影响。矿物养分含量和芳香物质之间的典型相关由肥料类型和农药的应用,除了在化学肥料和农药的组合应用被显著影响。<br>图4示出可溶性的代谢物的NMR信号强度和矿质营养的番茄果实中的内容之间的相关性。虽然有机肥料的应用导致的Mg,P,K,和Fe的含量和有机的信号强度和氨基酸之间的正相关关系,添加农药施用的降低的相关性。相反,有机肥料的应用导致与Ca的含量负相关,并增设施药增加了负相关。虽然chem-的iCal肥料的应用导致的Mg,P,K,Mn和Zn的含量和有机的信号强度和氨基酸之间的正相关关系,添加农药施用的增加正相关与内容磷,锰,和Fe的,并增加了负相关与Ca的含量 有机肥料中的应用导致的Mg,P和K含量和糖的信号强度之间的正和负相关,但除了施药对这些相关性几乎没有影响。Ca含量和糖的信号强度之间的相关性产生了不利的互动中与其他矿物。化肥和农药的施用增加P,Mn和Fe含量和糖的信号强度之间的正和负相关,但对Ca和糖之间的相关性几乎没有影响。Mn和Fe含量和每种代谢物的信号强度之间的大的正相关关系,除了一些糖(d 3.4-4.0ppm),
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3.5. 规范相关性分析<br>利用R函数罐计算可溶性代谢物的NMR信号强度与番茄果实中矿物质营养成分含量的相关性。每个生产系统的规范变量分为三组:有机和氨基酸、糖和芳香区。通过Tukey的HSD测试对各组的变化进行了分析,以比较生产系统之间规范相关性的统计差异。测试的 p 值显示在 Supple-mental 表 4A+C 中。有机和氨基酸组的主要品种受农药施用与化肥相结合的影响,但不应单独使用化学肥料或有机肥料与农药相结合。肥料类型影响糖类的品种,但农药施用对品种无显著影响。除化肥和农药联合施用外,矿物营养成分与芳香物质之间的规范相关性受肥料类型和农药应用的影响显著。<br>图4显示了可溶性代谢物的NMR信号强度与番茄果实中矿物质营养成分含量的相关性。有机肥料的应用导致Mg、P、K和Fe的含量与有机和氨基酸的信号强度呈正相关,而农药应用的加入降低了相关性。反之,有机肥料的应用导致与Ca含量呈负相关,农药施用的添加增加了负相关。化学肥料的应用导致Mg、P、K、Mn和Zn的共通与有机和氨基酸的信号强度呈正相关,而农药应用的增加增加了与P、Mn 和 Fe 的内容,并增加了与 Ca 内容的负相关关系。有机肥料的应用导致Mg、P和K含量与糖的信号强度呈正负相关,但农药施用的添加对这些相关性几乎没有影响。糖含量与糖信号强度的相关性与其他矿物质有不良的相互作用。施用化肥和农药增加了P、Mn和Fe含量之间的正负相关和糖的信号强度,但对糖与糖之间的相关性几乎没有影响。Mn和Fe含量与每种代谢物的信号强度之间有很大的正相关,但一些糖(d 3.4-4.0ppm)除外,在施用的番茄中观察到Ca和代谢物之间的负相关。化肥和农药。
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3.5条。典型相关分析<br>利用R函数cancor计算了番茄果实可溶性代谢产物的NMR信号强度与矿质营养物质含量的相关性。每个生产系统的典型变量分为三类:有机酸和氨基酸、糖和芳香区。采用Tukey's-HSD检验对各组变量进行分析,比较生产系统间典型相关的统计差异。试验的p值见补充表4A-C。有机和氨基酸组的典型变量受农药与化肥结合施用的影响,但不受化肥单独施用或有机肥料与农药结合施用的影响。肥料类型对糖基的典型变量有影响,而农药施用对糖基的典型变量没有显著影响。矿质养分含量与芳香物质的典型相关除化肥与农药联合施用外,均受肥料类型和农药施用量的显著影响。<br>图4显示了可溶性代谢产物的核磁共振信号强度与番茄果实矿质营养成分含量之间的关系。施用有机肥导致Mg、P、K、Fe含量与有机酸、氨基酸信号强度呈正相关,而施用农药则降低了相关。相反,施用有机肥与钙含量呈负相关,施用农药则呈负相关。化学肥料的施用使Mg、P、K、Mn、Zn含量与有机酸、氨基酸信号强度呈正相关,而农药的施用增加了与P、Mn、Fe含量的正相关,增加了与含量的负相关有机肥的施用导致了Mg、P、K含量与糖信号强度的正相关和负相关,而农药的施用对这些相关性几乎没有影响。钙含量与糖信号强度的相关性与其他矿物有着负相关关系。化肥和农药的施用增加了磷、锰、铁含量与糖信号强度的正相关和负相关,但对钙与糖的相关几乎没有影响。在施用化肥和农药的番茄中,除部分糖(d 3.4-4.0ppm)外,Mn和Fe含量与各代谢物的信号强度呈显著正相关,Ca与代谢物呈负相关。<br>
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