CHARACTERIZATION OF PLANT STRESS SYNDROME BY SOME CORRELATIONS OF BIOCHEMICAL VARIABLES
Manifestations of plant stress syndromes have been tracked by the regressions of enzyme activities and metabolite concentrations, respectively. Maintaining the linear character of the regressions, the stress has been established to induce significant alterations in the parameters of the regression....
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Veröffentlicht in: | Cereal research communications 2009-01, Vol.37, p.141-144 |
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container_title | Cereal research communications |
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creator | NÉMETH, Zsolt István POZSGAI-HARSÁNYI, Mónika STEFANOVITS-BÁNYAI, Éva SÁRDI, Éva |
description | Manifestations of plant stress syndromes have been tracked by the regressions of enzyme activities and metabolite concentrations, respectively. Maintaining the linear character of the regressions, the stress has been established to induce significant alterations in the parameters of the regression. With application of covariance analysis (ANCOVA), significant deviations or identities can be interpreted between the physiological states symbolized by state dependent regressions. Since covariance analysis is able to avoid the breaking effect of standard deviation on comparability of individual variables, it is possible to detect physiological state alteration in a much more sensitive manner by comparing the linear correlations of the variables. |
doi_str_mv | 10.1556/CRC.37.2009.1.16 |
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Maintaining the linear character of the regressions, the stress has been established to induce significant alterations in the parameters of the regression. With application of covariance analysis (ANCOVA), significant deviations or identities can be interpreted between the physiological states symbolized by state dependent regressions. Since covariance analysis is able to avoid the breaking effect of standard deviation on comparability of individual variables, it is possible to detect physiological state alteration in a much more sensitive manner by comparing the linear correlations of the variables.</description><identifier>ISSN: 0133-3720</identifier><identifier>EISSN: 1788-9170</identifier><identifier>DOI: 10.1556/CRC.37.2009.1.16</identifier><language>eng</language><publisher>Akadémiai Kiadó</publisher><subject>Biochemistry ; Correlations ; Crop Production and Plant Protection ; Drought ; Fusarium ; Horticulture ; Leaves ; Linear regression ; Plant biochemistry ; Plant stress ; Plants</subject><ispartof>Cereal research communications, 2009-01, Vol.37, p.141-144</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/90003380$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/90003380$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,781,785,804,27928,27929,58021,58254</link.rule.ids></links><search><creatorcontrib>NÉMETH, Zsolt István</creatorcontrib><creatorcontrib>POZSGAI-HARSÁNYI, Mónika</creatorcontrib><creatorcontrib>STEFANOVITS-BÁNYAI, Éva</creatorcontrib><creatorcontrib>SÁRDI, Éva</creatorcontrib><title>CHARACTERIZATION OF PLANT STRESS SYNDROME BY SOME CORRELATIONS OF BIOCHEMICAL VARIABLES</title><title>Cereal research communications</title><description>Manifestations of plant stress syndromes have been tracked by the regressions of enzyme activities and metabolite concentrations, respectively. Maintaining the linear character of the regressions, the stress has been established to induce significant alterations in the parameters of the regression. With application of covariance analysis (ANCOVA), significant deviations or identities can be interpreted between the physiological states symbolized by state dependent regressions. Since covariance analysis is able to avoid the breaking effect of standard deviation on comparability of individual variables, it is possible to detect physiological state alteration in a much more sensitive manner by comparing the linear correlations of the variables.</description><subject>Biochemistry</subject><subject>Correlations</subject><subject>Crop Production and Plant Protection</subject><subject>Drought</subject><subject>Fusarium</subject><subject>Horticulture</subject><subject>Leaves</subject><subject>Linear regression</subject><subject>Plant biochemistry</subject><subject>Plant stress</subject><subject>Plants</subject><issn>0133-3720</issn><issn>1788-9170</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNotzEFPgzAYxvHGaCJO715M-gXAty1Qeiy1ExIGpkXNvCy10MRFo4Fd9u0V9fQ_PL88CF0TSEiW5bfKqITxhAKIhCQkP0ER4UURC8LhFEVAGIsZp3COLuZ5D5ClQqQRelaVNFL12tQvsq-7Fndr_NDItse2N9pabLftnek2GpdbbJeqzhjd_GK76LLuVKU3tZINfpKmlmWj7SU6C-59Hq_-u0KPa92rKm66-0XGe8L5IaY0uJwP4ATPAjgvxDD6dBjoq_dpEbgYR3BjGAqX00AdoZ5xnrPcU_qzOmArdPP3u58Pn9Pua3r7cNNxJwCAsQLYN7ojSgU</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>NÉMETH, Zsolt István</creator><creator>POZSGAI-HARSÁNYI, Mónika</creator><creator>STEFANOVITS-BÁNYAI, Éva</creator><creator>SÁRDI, Éva</creator><general>Akadémiai Kiadó</general><scope/></search><sort><creationdate>20090101</creationdate><title>CHARACTERIZATION OF PLANT STRESS SYNDROME BY SOME CORRELATIONS OF BIOCHEMICAL VARIABLES</title><author>NÉMETH, Zsolt István ; POZSGAI-HARSÁNYI, Mónika ; STEFANOVITS-BÁNYAI, Éva ; SÁRDI, Éva</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j177t-22fa67d0a975f0ac99dec4dd2bcc48f79ee0aefd8a62f2a12c377636c228f7a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Biochemistry</topic><topic>Correlations</topic><topic>Crop Production and Plant Protection</topic><topic>Drought</topic><topic>Fusarium</topic><topic>Horticulture</topic><topic>Leaves</topic><topic>Linear regression</topic><topic>Plant biochemistry</topic><topic>Plant stress</topic><topic>Plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>NÉMETH, Zsolt István</creatorcontrib><creatorcontrib>POZSGAI-HARSÁNYI, Mónika</creatorcontrib><creatorcontrib>STEFANOVITS-BÁNYAI, Éva</creatorcontrib><creatorcontrib>SÁRDI, Éva</creatorcontrib><jtitle>Cereal research communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>NÉMETH, Zsolt István</au><au>POZSGAI-HARSÁNYI, Mónika</au><au>STEFANOVITS-BÁNYAI, Éva</au><au>SÁRDI, Éva</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CHARACTERIZATION OF PLANT STRESS SYNDROME BY SOME CORRELATIONS OF BIOCHEMICAL VARIABLES</atitle><jtitle>Cereal research communications</jtitle><date>2009-01-01</date><risdate>2009</risdate><volume>37</volume><spage>141</spage><epage>144</epage><pages>141-144</pages><issn>0133-3720</issn><eissn>1788-9170</eissn><abstract>Manifestations of plant stress syndromes have been tracked by the regressions of enzyme activities and metabolite concentrations, respectively. Maintaining the linear character of the regressions, the stress has been established to induce significant alterations in the parameters of the regression. With application of covariance analysis (ANCOVA), significant deviations or identities can be interpreted between the physiological states symbolized by state dependent regressions. Since covariance analysis is able to avoid the breaking effect of standard deviation on comparability of individual variables, it is possible to detect physiological state alteration in a much more sensitive manner by comparing the linear correlations of the variables.</abstract><pub>Akadémiai Kiadó</pub><doi>10.1556/CRC.37.2009.1.16</doi><tpages>4</tpages></addata></record> |
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subjects | Biochemistry Correlations Crop Production and Plant Protection Drought Fusarium Horticulture Leaves Linear regression Plant biochemistry Plant stress Plants |
title | CHARACTERIZATION OF PLANT STRESS SYNDROME BY SOME CORRELATIONS OF BIOCHEMICAL VARIABLES |
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