Microorganisms with the ability to dissolve phosphorus have the potential to release this essential nutrient into the soil through natural solubilization processes, which allows for boosting plant growth and development. While literature reviews acknowledge their potential, unexplored territories concerning accessibility, application, and effective integration into sustainable agriculture necessitate further research. This manuscript employed distinct methodologies to execute a bibliometric analysis and a literature review. The combined application of both methodologies enables a holistic understanding of the domain landscape and its innovative facets. For the bibliometric analysis, the propositions of Donthu and Jia were utilized, supplemented by tools, such as Bibliometrix. The literature review adhered to a systematic methodology predicated on Petersen’s guidelines to represent the domain accurately, pinpointing trends and gaps that could steer future, more detailed research. This investigation uncovers an escalating interest in studying these microorganisms since the 2000s, emphasizing their significance in sustainable agriculture and the context of phosphorus scarcity. It was also discerned that India and China, nations with notable agricultural sectors and a high demand for phosphorus fertilizers, spearheaded research output on this subject. This signifies their substantial contribution to the progression of this scientific field. Furthermore, according to the research consulted, phosphorus-solubilizing microorganisms play a pivotal role in the symbiotic interaction of soil with plant roots and represent an efficacious strategy to counteract the low availability of phosphorus in the soil and sustainably enhance agricultural systems. Finally, this review contributes to the relevant domain by examining existing empirical evidence with special emphasis on sustainable agriculture, improved understanding of phosphorus solubilization mechanisms, and recognition of various microbial entities.

The post-harvest processes of coffee are widely accepted as key factors in determining the quality of the product. In the Cauca department, Southwestern Colombia, this stage is carried out empirically by farmers in the region, using old methods that do not assure consistent quality. This study proposes to determine the best post-harvest temperature and time conditions for coffee produced in the region. For this purpose, we carried the fermentation and honey process out on different coffee samples of the Coffea Arabica species of the Castillo variety. Subsequently, the cup profile quality of the coffee samples was determined by a sensory evaluation by experts. Finally, we applied descriptive statistical techniques to the resulting data and principal component analysis and hierarchical cluster analysis to find similarities between the samples. The results suggest that the honey process gets better evaluations in the cup profile over any condition of temperature and fermentation time. GRAPHICAL ABSTRACT

Cacao (Theobroma cacao) is considered a functional food due to its composition, which is rich in bioactive compounds such as flavonoids, theobromine, dietary fiber, and essential minerals. Several studies have shown that flavonoids have antioxidant and anti-inflammatory properties, helping to reduce oxidative stress and protecting against cardiovascular diseases. In addition, their ability to stimulate nitric oxide production improves blood circulation and lowers blood pressure. These benefits, coupled with its ability to improve mood and cognitive function, position cocoa as a key ingredient in the development of functional foods aimed at improving quality of life and preventing chronic diseases. This research aims to create a product that incorporates cocoa and essential oils extracted from aromatic plants native to the department of Cauca. This represents a significant step toward the sustainable use of these ingredients in the region, promoting consumer welfare and health while strengthening sustainable practices, fostering innovation, and boosting economic and social development in the department. The research is developed in five phases: determination of the study area, characterization of the cocoa production chain in the department of Cauca, selection of essential oils, application of an experimental mixture design and physicochemical and microbiological analyses of the final product. From the experimental design of the mixture, it was determined that the most appropriate formulation of the bar is 60% dark chocolate (70% cocoa), 29% sweet chocolate, 10% pure strawberry and 1% fennel essential oil (Foeniculum vulgare), reaching an average sensory acceptability of 3.23 on a five-point hedonic scale. The qualitative properties (organoleptic, chemical and microbial) of the selected formulations are acceptable for human consumption and provide a high energy content of 506.25 kcal/100 g for chocolate bars filled with strawberry puree and fennel essential oil.

Phosphorus is an important macronutrient for plant development, but its bioavailability in soil is often limited. Phosphate-solubilizing microorganisms play a vital role in phosphorus biogeochemistry, offering a sustainable alternative to chemical fertilizers, which pose environmental risks. Manual measurements for quantifying phosphate solubilization capacity are laborious, subjective, and time-consuming, so there is a need to develop more efficient and objective approaches. This study aimed to develop and validate a machine vision system called IGLOO to automate and optimize the determination of relative phosphate solubilization efficiency in phosphate-solubilizing bacteria. IGLOO was developed using YOLOv8 in conjunction with creating and labeling a dataset of images of bacterial colonies grown in vitro with the bacterial strains Enterobacter R11 and FCRK4. The model was trained with a different number of epochs. IGLOO’s performance was evaluated by comparing its segmentation accuracy with accepted metrics in the domain and by contrasting its solubilization efficiency estimates with experts’ manual measurements. The model achieved greater than 90% accuracy for colony and halo detection, with a relative error of less than 6% compared to manual measurements, demonstrating its reliability by minimizing observer variability. Finally, IGLOO represents a significant advance in the quantitative evaluation of phosphate solubilization of microorganisms because it reduces analysis time and provides objective and reproducible results for agricultural studies.

Aislamientos bacterianos saprófitos Gram negativos promueven el crecimiento de tomate y trigo.