1963
DOI: 10.1007/bf01347863
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Causal soil?plant relationships and path coefficients

Abstract: The use of the normal regression model to interpret the relationships between soll factors and plant characteristics such as yield and mineral content is open to certain objections. One of the most important of these is connected with the imperIections and limitations of the regression model used. In such a model the assumption is made that the so called independent factors do not influence each other, in other words a change in one factor does not result in a change in another independent factor. In many case… Show more

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Cited by 8 publications
(3 citation statements)
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“…The path analysis, a statistical method of testing cause/effect relationships that is mainly used in genetics, is now also used to compare the strength of direct or indirect relationships among variables in plants, soil, and plant–soil relationships323334. In general, the path analysis would permit the partitioning of correlation coefficients into components as path coefficients, to determine the direct or indirect effect35.…”
mentioning
confidence: 99%
“…The path analysis, a statistical method of testing cause/effect relationships that is mainly used in genetics, is now also used to compare the strength of direct or indirect relationships among variables in plants, soil, and plant–soil relationships323334. In general, the path analysis would permit the partitioning of correlation coefficients into components as path coefficients, to determine the direct or indirect effect35.…”
mentioning
confidence: 99%
“…Tuley (1954). Turner & Stevens (1959), Theil & Goldberger (1961), Ferrari (1963, 1964). and Scott (1966.…”
Section: Relation Siiii' Ljetween Enviitonm Ental Variaule S 27lmentioning
confidence: 99%
“…We used for the calculations the parameter values of Table 1, found in an earlier research (Ferrari, 1963).…”
Section: Fig 1 Model Of the Influences Of 4 Independent Variables (Pr...mentioning
confidence: 99%