Path analysis is included in the group of alternative multivariate statistical methods within a multivariate structure. Path analysis is an extension of the regression model, where we can analyze not just direct effect of the predictors to the response variable, also the indirect effects of whole predictors to the response variable. The purpose of the path analysis is to estimate the importance and amount of hypotheses created for causal relationships between variables. This is well explained by the path diagram. The main objective of the current study investigation of the effect of morphological parameters of the four hyacinth (Hyacinthus orientalis L.) cultivars (“Blue Jacket”, “Carnegie”, “City of Haarlem”, and “Jan Bos”) grown in the fi...
Path analysis was originally proposed to decompose and interpret causal linear relationships among a...
This study aimed to establish the phenotypic correlations among several soybean traits with grain yi...
Studying relationships among plant and crop traits is crucial for crop scientists to understand comp...
ABSTRACT: Path analysis was performed in 33 select clones of Casuarina equisetifolia at the Institut...
<p>There is no significant misfit between the empirical data and the causal structure specified by t...
This study was conducted to determine morphological characteristics of different hyacinths cultivars...
Safflower is a multipurpose plant cultivated since ancient times having many components of benefici...
Correlation and path analysis studies in maintainer and restorer lines of sunflower (Helianthus annu...
Correlation coefficients have shown that first flowering time of Tulip was positively and significa...
Not AvailableInformation regarding the character association is of great importance in simultaneous ...
<p>The arrows define the cause-and-effect relationships in the path diagram for the causal model. Pa...
Path analysis is a statistical technique widely used for modeling causation among a set of variables...
A field experiment was conducted at the Horticulture Farm of Sher-e-Bangla Agricultural University, ...
This study aimed to establish the phenotypic correlations among several soybean traits with grain yi...
Path analysis introduced by Wright in 1921 as correlation and causation has been extensively used ...
Path analysis was originally proposed to decompose and interpret causal linear relationships among a...
This study aimed to establish the phenotypic correlations among several soybean traits with grain yi...
Studying relationships among plant and crop traits is crucial for crop scientists to understand comp...
ABSTRACT: Path analysis was performed in 33 select clones of Casuarina equisetifolia at the Institut...
<p>There is no significant misfit between the empirical data and the causal structure specified by t...
This study was conducted to determine morphological characteristics of different hyacinths cultivars...
Safflower is a multipurpose plant cultivated since ancient times having many components of benefici...
Correlation and path analysis studies in maintainer and restorer lines of sunflower (Helianthus annu...
Correlation coefficients have shown that first flowering time of Tulip was positively and significa...
Not AvailableInformation regarding the character association is of great importance in simultaneous ...
<p>The arrows define the cause-and-effect relationships in the path diagram for the causal model. Pa...
Path analysis is a statistical technique widely used for modeling causation among a set of variables...
A field experiment was conducted at the Horticulture Farm of Sher-e-Bangla Agricultural University, ...
This study aimed to establish the phenotypic correlations among several soybean traits with grain yi...
Path analysis introduced by Wright in 1921 as correlation and causation has been extensively used ...
Path analysis was originally proposed to decompose and interpret causal linear relationships among a...
This study aimed to establish the phenotypic correlations among several soybean traits with grain yi...
Studying relationships among plant and crop traits is crucial for crop scientists to understand comp...