TY - JOUR
T1 - The Relationship between Yield Parameters and Morphological Characters for Barley: Evaluating linear and Non-linear models
AU - Rihan, H
AU - Abdullah, A
PY - 2018/2/15
Y1 - 2018/2/15
N2 - The best statistical model (linear or non-linear) for use in the study of the relationship between yield parameters and morphological characters of barley was investigated. It was confirmed that Non-linear model (Exponential regression analysis) is better than linear for studying the relationship between yield parameters and morphological characters, because the determination coefficient for non-linear model was higher than the determination coefficient for linear model. Moreover, the residual distributions for non-linear equation were much better than the residual distributions for linear equation.
A relationship between leafiness and yield parameters was not shown by both linear and non-linear models, while analysis of variance (ANOVA) indicated a positive significant difference in yield according to levels of leafiness. Consequently, yield parameters had been affected by morphological characters. The non-linear model for the study of the relationship is suitable for forecasting yield.
AB - The best statistical model (linear or non-linear) for use in the study of the relationship between yield parameters and morphological characters of barley was investigated. It was confirmed that Non-linear model (Exponential regression analysis) is better than linear for studying the relationship between yield parameters and morphological characters, because the determination coefficient for non-linear model was higher than the determination coefficient for linear model. Moreover, the residual distributions for non-linear equation were much better than the residual distributions for linear equation.
A relationship between leafiness and yield parameters was not shown by both linear and non-linear models, while analysis of variance (ANOVA) indicated a positive significant difference in yield according to levels of leafiness. Consequently, yield parameters had been affected by morphological characters. The non-linear model for the study of the relationship is suitable for forecasting yield.
UR - https://pearl.plymouth.ac.uk/context/bms-research/article/1572/viewcontent/ARTOAJ.MS.ID.555907.pdf
U2 - 10.19080/ARTOAJ.2018.14.555907
DO - 10.19080/ARTOAJ.2018.14.555907
M3 - Article
SN - 2471-6774
VL - 0
JO - Agricultural Research & Technology: Open Access Journal
JF - Agricultural Research & Technology: Open Access Journal
IS - 0
ER -