Los hongos micorrícicos o conocidas generalmente como micorrizas poseen una relación simbiótica tipo mutualista con las plantas, siendo la simbiosis más abundante sobre la superficie terrestre. Las micorrizas cumplen un rol importante en la evolución de las plantas debido al transporte de nutrientes al interior de las células de la raíz de la planta; además de atribuirles resistencia contra factores bióticos y abióticos. En el desierto de La Joya se localizó tres zonas con presencia de la planta Solanum pseudocapsicum L. Se realizó un análisis ecológico para cada zona determinando la riqueza, el índice de diversidad de Shannon-Wiener, índice de dominancia de Simpson y índice de equitatividad; además se determinó otros factores como abundancia, abundancia relativa, frecuencia de aislamiento y el desarrollo de una curva de acumulación. Se determinó una riqueza total de...

Rice is cataloged as one of the most widely cultivated crops globally, providing food for a large proportion of the global population. Integrating Geographic Information Systems (GISs), such as unmanned aerial vehicles (UAVs), into agricultural practices offers numerous benefits. UAVs, equipped with imaging sensors and geolocation technology, enable precise crop monitoring and management, enhancing yield and efficiency. However, Peru lacks sufficient experience with the application of these technologies, making them somewhat unfamiliar in the context of modern agriculture. In this study, we conducted experiments involving four distinct rice varieties (n = 24) at various stages of growth to predict yield using vegetation indices (VIs). A total of nine VIs (NDVI, GNDVI, ReCL, CIgreen, MCARI, SAVI, CVI, LCI, and EVI) were assessed across four dates: 88, 103, 116, and 130 days after sowing (...

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,...