Search Results

You are looking at 41 - 50 of 54 items for :

  • "correlation analysis" x
  • Biology and Life Sciences x
  • Refine by Access: All Content x
Clear All
Biologia Futura
Authors: Margit Kollaricsné Horváth, Borbála Hoffmann, István Cernák, Szilveszter Baráth, Zsolt Polgár, and János Taller

was downregulated in Katica and Chipke, whereas upregulated in S440 and Hópehely. Correlation analysis of time series data Chlorophyll content (SPAD values) and expression of major NUE genes were measured several

Open access
Progress in Agricultural Engineering Sciences
Authors: Mai Sao Dam, Xuan Thi To, Quoc Tan Pham Le, Lien Le Phuong Nguyen, László Friedrich, Géza Hitka, Tamás Zsom, Tien Cam Thi Nguyen, Chuong Quang Huynh, My Diem Thi Tran, and Vuong Duc Nguyen

). Statistical analysis All data were processed by R version 4.0.1 (The R Foundation for Statistical Computing, Vienna, Austria) and RStudio version 1.3.959 (RStudio, Boston, US) using Pearson correlation analysis and analysis of variance (ANOVA) followed by

Open access

samples obtained by the electronic tongue A correlation analysis was performed ( Table 1 ) between the sensor responses and the sample pH and lactose content. The sensors CA and ZZ correlate highly with sample pH, while no statistically significant

Restricted access
Progress in Agricultural Engineering Sciences
Authors: Tamás Csurka, Klára Pásztor-Huszár, Adrienn Tóth, Richárd Pintér, and László Ferenc Friedrich

determination coefficient ( R 2 ) shows how appropriate a model is. The determination coefficient shows a very appropriate model. Data are evaluated by the comparison of attributes' expected values and Pearson correlation analysis, which measure the dependence

Open access
Acta Alimentaria
Authors: S. Hu, H. Shu, J.L. Yuan, J.Y. Gao, P.Y. Mu, C.Z. Ren, W. Sang, L.C. Guo, and H.B. Chen

(ANOVA) using SPSS Statistics 20 (IBM, USA). The Pearson coefficient was applied for data correlation analysis. 2 Results and discussion 2.1 Expansion ratio and hardness In general, a high expansion ratio and low hardness value improve product quality and

Restricted access

fit was performed by correlation analysis. The forward method was used to decide which independent variables were included into the multivariable regression analysis model. Statistical analysis was performed using IBM SPSS Statistics 20.0 (2010

Open access

penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics , 10 , 515–534. Hastie T. A penalized matrix

Restricted access
Progress in Agricultural Engineering Sciences
Authors: Aidin Pahlavan, Mohammad Hassan Kamani, Amir Hossein Elhamirad, Zahra Sheikholeslami, Mohammad Armin, and Hanieh Amani

of a strong relationship between the glutenin macro-polymer-gel and bread loaf volume using correlation analysis. Similarly, Butt et al. (2001) reported the strong correlation between the bread quality and protein components of wheat cultivars using

Restricted access

correlation analysis was performed for the determination of relationship. 3 Results and discussion When the vegetables studied were evaluated together, peels of both eggplant cultivars obtained from both organic and conventional systems had the most individual

Open access

. Graphs were created with Ms. Excel 2019. The statistical analysis like analysis of variance (ANOVA), (simple regression and bivariate correlation analysis) for the studied characteristics carried out with Ms. Excel and Minitab software. Results The result

Open access