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Imaging analysis (UAV images) was used to evaluate a corn crop under hydric stress conditions. From the analysis of the series of images (June 29 - T1, July 20 - T2, year 2022) the values of the RGB parameters resulted. Suplementary the luminance (Lum), normalized values (rgb), values in the HSB system, and INT, NDI and DGCI indices, were determined. The correlation analysis identified 18 very strong correlations between the parameters considered at the time of T1, and 10 very strong correlations at the time of T2. The PCA analysis led to the classification of the components: seven components in PC1 (R = -9.93 the highest value) and three components in PC2 (Lum = 0.970 the highest value) at the time of T1; four components in PC1 (r = -0.990 the highest value) and four components in PC2 (Lum = 0.949 the highest value) at time T2. The differences between the series of parameters, at the moments T1 and T2, were confirmed by values U = 18, p = 0.017 in the case of parameter G; U = 10, p = 0.0028 in the case of the B parameter; t = 9.4202, p < 0.01 in the case of NDI; t = 9.2066, p<0.001, U = 1, p < 0.001 in the case of INT; t = 9.3176, p < 0.001 in the case of DGCI; t = 7.5581, p < 0.001, U = 3, p < 0.001 in the case of Lum. [ABSTRACT FROM AUTHOR]

The aim of this research was to analyse the agronomic characteristics of a maize variety consisting of 20 inbred lines, which are used as germplasm sources for hybrid maize production at SCDA Lovrin. The statistical analysis and interpretation of the results were carried out using IBM SPSS software. Descriptive statistics, including mean, median, standard deviation, minimum, and maximum values, were calculated. To evaluate the significance of the differences, ANOVA and Duncan's multiple range tests, as well as Kruskal-Wallis and Mann-Whitney U tests, were performed. Pearson correlation coefficients and regression lines were determined to study the relationships between variables. The results indicate significant differences between the studied traits, such as leaf color, leaf orientation, anther color (tassel), silk color, ear position (degree), total number of leaves, number of leaves up to the main ear, and number of tassel branches. Additionally, a linear correlation was observed between the number of growing degree days (GDD) to flowering/silking and the total accumulated GDD until flowering/silking. [ABSTRACT FROM AUTHOR]

The study used the technique based on aerial images (UAV) to estimate the production of the sunflower crop, hybrid P64LE25. The experiment was organized within SCDA Lovrin, Timis County, Romania, in the 2021-2022 agricultural year, under the conditions of a chernozem type soil, non-irrigated system. The images were taken with the drone (DJI Phantom 4), at variable heights (H, 3 to 50 m). From the analysis of the digital images, the values of the RGB color parameters were obtained. The distribution of the RGB data series was of normal type (r = 0.950 for R, r = 0.960 for G and r = 0.965 for B). Very strong correlations were recorded between color parameters (r = 0.994 for R and G, r = 0.954 for R and B, r = 0.948 for G and B), and weak correlations between RGB and H. From PCA, PC1 explained 97.698% of variance, and PC2 explained 2.1027% of variance. Regression analysis facilitated the prediction of sunflower production based on RGB values, under statistical safety conditions (p<0.001; RMSEP = 1.7907 in relatin to R and G; RMSEP = 4.5869 in relation to R and B; RMSEP = 3.6978 in relation to G and B). [ABSTRACT FROM AUTHOR]

This paper presents the analysis of 15 cultivated maize hybrids for further selection of the hybrids that present a high yield potential and favourable agronomical traits, in the context of actual climate change. The analysis and interpretation of the obtained results was performed with the help of the IBM Spss statistical software. Descriptive characteristics were calculated: average, median, standard deviation, minimum values and maximum values. In order to analyse the significant differences, the ANOVA and Duncan statistical test was applied, respectively Kruskal Wallis and Mann-Whitney. For the study of the links between the variables, the Pearson correlation coefficients and the regression lines were determined. The results are indicating the existence of significant differences between the analysed parameters Also, the results are corelated to the meteorological data, registered during the corresponding development phase of the plants. [ABSTRACT FROM AUTHOR]

In the last 20 years, the demand for spelt wheat has increased rapidly and was anticipated that it will continuate to increase with a rate of about 5% annually. The demand is determined by the consumers perceptions and by the scientific proofs that highlight that spelt wheat has a higher nutritional value compared with common wheat. The purpose of this research was to determinate the Fusarium spp. contamination level of the spelt wheat grains treated with bio-fungicide in comparison with the non-treated variants. The biological material used in this research was the spelt winter wheat variety Rokosz. The obtained results after the incubation of the samples show the presence of the fungus Fusarium spp. in the spelt wheat grains from all the variants. The contamination index determined was 73% in the non-treated variant and 80% in the treated one. The insignificant difference was considered to be influenced by the fact that spelt wheat grains are covered with hull, that being the reason why the bio-fungicide doesn't adhere to the seed surface. [ABSTRACT FROM AUTHOR]