Citrus Huanglongbing (HLB) is considered the most devastating disease of citrus plants because of the damage it causes, its difficulty in diagnosis, and its speed of dissemination, mainly due to the international trade in plant propagation material and its vectors Diaphorina cilri and Trioza erylreae. Nowadays, there is no effective treatment for HLB, so early detection is necessary to mitigate its spread to eradicate infected trees. In 2016, Colombia confirmed the presence of HLB in its territory, so there is a need to prepare this research to determine the risk level and the options for adequate phytosanitary measures to exclude the introduction of the HLB to Ecuador; the study with documentary bibliographic methodology uses an adaptation to "Work Guide for the preparation of Pest Risk Analysis (PRA) studies per Pest" established by "Agrocality" under Resolution 0002 of January 03, 2020, which comprises three stages supported by scientific-technical information that allowed to identify a high-risk level of introduction of HLB to Ecuador and the options of phytosanitary measures to avoid the introduction and dispersion of HLB; among these are the prohibition of importing citrus propagating material from countries with HLB, production of certified plants, strengthening border control s,  to control the vector.

The objective of the present study was to isolate and select wild fermentative yeast strains to be used in the production of regional alcohol beverages. Yeasts were isolated from the spontaneous fermentation of must from different fruits of Misiones province and their ability to produce ethanol, as well as their tolerance to stress factors, were evaluated. Among a total of 62 isolated yeast strains, P2, P6, P7, and P11 (isolated from pitanga), and M31 (isolated from black mulberry) were preselected for presenting greater fermentation capacity. Strains P6 and P11 proved to be the most resistant to ethanol and more osmotolerant, could grow in the presence of SO2 and presented a good ethanol yield, which was 69.6% (P6) and 77% (P11) with respect to the maximum theoretical yield. The other yeast strains showed lower tolerance to the stress factors studied. According to the results of the present study, strains P6 and P11 were selected for further research focused on the production of regional fruit wines.

Rice is a globally important crop and a staple in the diet of a large part of the world’s population. This underscores the need for hybridization and improvement of rice genotypes to meet food demand in an environmentally sustainable manner. Geographic Information Systems (GIS) have proven to be valuable tools for the morphometric phenotyping of different genotypes. In this study, seven different rice genotypes were evaluated with the objective of selecting those with high yield. Multispectral imagery was used to develop prediction models based on supervised learning algorithms, including Linear Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Elastic Net (EN), and Neural Networks (NN). The variables studied were plant height, number of panicles, number of tillers, and yield. The results showed the following performances: R² = 0.44 for plant height using Random Forest, R² = 0.92 for number of panicles with Neural Networks, R² = 0.44 for number of tillers with SVM, and R² = 0.31 for yield with SVM. This technology significantly supports traditional selection methodologies for hybridization and improvement by providing a spatial approach that enhances and facilitates selection criteria

The objective of this research was to determine the effect of including phytase in the feed of broiler chickens. During seven weeks, 192 Ross broilers were evaluated, applying six treatments with four replicates of eight birds each. Treatments included different levels of phytase Ronozyme Np (4% to 12%) and a phytase-free control. Parameters such as feed intake, weight gain, feed conversion, carcass yield, mortality and economic efficiency were measured. In the initial phase, the control treatment obtained the greatest weight gain (631 g), while in the final phase T3 (993.75 g) stood out and in the total phase T4 (2604.25 g). Feed intake did not show differences in the initial phase, but in the final phase T3 and T4 were the most efficient. Daily weight gain was greatest at T2, T3, and T6 (137 g). The best feed conversion was obtained at T1 (1.25 kg). In carcass performance, T3 and T6 obtained the best values without significant differences. Mortality was low in all groups, with T1 registering 0.52%. In terms of profitability, T4 (8% phytase) showed the best benefit-cost ratio. These results indicate that the inclusion of phytase in the diet improves productive performance and profitability in broilers.