O objetivo do estudo foi avaliar o desempenho e o valor nutricional da forragem verde hidropônica de cevada (FVH) na alimentação de cobaias, além de comparar diferentes sistemas de alimentação para determinar seu efeito no crescimento, conversão alimentar, mortalidade e desempenho de carcaça de porquinhos-da-índia. Utilizou-se delineamento inteiramente casualizado e teste de Duncan a 5%. Utilizaramse 100 cobaias machos com 14 ± 5 dias, distribuídos em cinco tratamentos (T1: concentrado; T2: FVH; T3: chala; T4: concentrado + FVH; T5: concentrado + chala), com cinco repetições. O peso, ganho de peso, consumo de ração, conversão alimentar e percentagem de carcaça foram avaliados durante 49 dias. O ganho de peso por dia em T4 (16,11 g), T1 (15,95 g) e T5 (15,65 g) foi significativamente maior do que o obtido em T2 (5,51 g) e T3 (4,95 g) (p < 0,05). T5 e T4 apresentaram os ma...

Universidad Nacional Agraria La Molina. Facultad de Zootecnia. Departamento Académico de Producción Animal

As part of our study of saproxylic fauna in cocoa (Theobroma cacao Linnaeus, 1753) sites in northern Peru, we present a new record of Xylopsocus capucinus (Fabricius, 1781) in the country. The species X. capucinus is considered an invasive beetle in the Bostrichidae family to Central America. Our report includes biological and ecological data from this site, as well as detailed taxonomic information and images to facilitate identification.

Rice (Oryza sativa L.) is a staple crop for sustaining global food security and is particularly important in tropical and subtropical regions. In this context, precision agriculture enables more efficient crop management to increase productivity and sustainability. This study proposes an integrated framework for monitoring the phenological development and estimating the yield of O. sativa by combining agronomic variables, vegetation indices (VIs), and meteorological data. Six rice varieties (Victoria, Esperanza, Bellavista, Puntilla, Capoteña, and Valor) were evaluated across six phenological stages using field data, 20 VIs and meteorological parameters. Field data revealed greater tillering of the Puntilla and Valor varieties (9–28 tillers), with Esperanza having the most stable chlorophyll values (21.5–38.7, σ = 10.46) during ripening. The temporal dynamics of the VIs consistentl...

Cinchona officinalis es una importante especie vegetal, fue el único tratamiento para la malaria durante más de tres siglos. El objetivo de este estudio fue comparar la precisión de cuatro métodos no destructivos de procesamiento digital de imágenes (LeafArea y tres algoritmos de ImageJ) para estimar el área foliar de plantaciones jóvenes de C. officinalis en dos condiciones de establecimiento: macizo forestal y franjas de enriquecimiento. Se fotografiaron hojas a 8 cm de distancia utilizando un smartphone de 24 MP y se procesaron con los métodos evaluados. El análisis estadístico incluyó diagramas de caja y bigotes, correlación de Pearson y prueba de Friedman. Los resultados mostraron que los métodos M3 y M4 de ImageJ presentaron la mayor precisión (r = 0,99), sin diferencias significativas entre ellos, y con sobreestimaciones detectadas en M1 y M2. Se concluye que M3 y M4...

Accurate estimation of biomass and carbon in agroforestry systems is essential to assess their contribution to climate change mitigation and to improve their management. In this context, UAV-mounted LiDAR technology emerges as a fast, accurate, and non-destructive alternative for the structural characterization of cocoa agroforestry systems. This study aimed to estimate and analyze structural parameters, mainly tree height and diameter at breast height (DBH), as well as to calculate aboveground biomass and carbon sequestration in a cocoa agroforestry system, using LiDAR data obtained with a DJI Matrice 350 RTK UAV equipped with a Zenmuse L2 sensor, complemented by automatic tree segmentation in LiDAR360 and the application of species-specific allometric equations. The results showed a 93 % segmentation efficiency, with accuracies of 0.93 and 0.99 for DBH and height estimations, respectiv...

Generating agricultural suitability analyses that are objective, consistent, and accessible through digital platforms remains a technical and methodological challenge, creating an information gap for certain stakeholders. To address this issue, we assessed the territorial suitability of the Cajamarca region for coffee and cocoa cultivation using 18 subcriteria grouped into climatic, edaphological, topographic, and socioeconomic categories. To reduce subjectivity and improve consistency in variable comparisons, we applied multicriteria evaluation techniques, including the analytical hierarchy process (AHP) and Shannon entropy method. On the basis of the resulting weights, suitability models were generated using two approaches: one based on threshold reclassification and another using continuous suitability functions. Both approaches were validated using 3886 presence points for coffee and...

The increasing use of plastics globally has generated serious environmental and human health problems, particularly in the agricultural sector where low-density polyethylene (LDPE) and other plastics are widely used. Due to its low recycling rate and slow degradation process, LDPE is a major source of pollution. This paper addresses the problem of plastic accumulation in agriculture, focusing on LDPE biodegradation strategies. The studies reviewed include recent data and the methodologies used include state-of-the-art technologies and others that have been used for decades, to monitor and measure the degree of biodegradation that each treatment applied can have, including SEM, GCMS, HPLC, and microscopy. The countries investigating these biodegradation methodologies are identified, and while some countries have been developing them for some years, others have only begun to address this p...

The presence of heavy metals in agricultural soils poses a threat to the development of sustainable agriculture and ensuring food security. The objective of this study was to evaluate the geospatial distribution of heavy metals in rice-growing soils within the Amojú River Basin, Jaen, Peru. Ninety-five soil samples were collected randomly, covering four altitudinal ranges, namely, very low (374–450 m above sea level (m a.s.l.)), low (450–571 m a.s.l.), medium (571–701 m a.s.l.) and high altitudes (701–1,034 m a.s.l.), and different agronomic management stages, including four phenological phases (seedling, tillering, filling and ripening) and two agricultural practices (resting and stubble burning). The evaluation was conducted via physicochemical analysis, the single-factor pollution index, and spatial interpolation techniques through the empirical Bayesian kriging (EBK) method....

The rice–fish farming system is an efficient ecological model with economic, ecological, and social benefits, reduces environmental impacts and optimizes the use of resources. The objective of the research was to explore and analyze scientific publications through a systematic review and meta-analysis related to rice–fish intercropping. A review of publications hosted in the Scopus and PubMed database from January 2000 to April 2025 was conducted. Research articles were selected, excluding review articles, com-mentaries, book chapters, and letters, and only documents published in English were analyzed. The analysis shows that the countries with the highest number of publications were China and Bangladesh, with a proportion of 48% and 24% respectively, followed by Thailand with 10% and Pakistan, Indonesia, Malaysia, and India with 5% each. The fish species used in rice–fish systems ...