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Occurrence, sources, and ecological risk of polycyclic aromatic hydrocarbons (PAHs) in rice field soils of northwestern Peru
(Elsevier B.V., 2026-02-04) Culqui Gaslac, Cristian; Tineo Flores, Daniel; Fernandez Jibaja, Jorge Antonio; Alvarez Robledo, Yeltsin Abel; Garcia Frias, Larry Dustin; Mendoza Merino, Jani Elisabet; Taboada Mitma, Víctor Hugo; Cruz Luis, Juancarlos Alejandro; Rojas Briceño, Nilton B.; García, Ligia; Zirena Vilca, Franz; Goñas Goñas, Malluri
Polycyclic aromatic hydrocarbons (PAHs) are organic contaminants that pose significant risks to human health and ecosystems. This study investigated the occurrence, sources, and ecological risks of PAHs in rice paddy soils from northwestern Peru. Ninety-seven soil samples were collected at a depth of 30 cm across three altitudinal zones, four phenological stages, and two agronomic management practices. Quantification was performed using ultra-high-performance liquid chromatography coupled with fluorescence detection (UHPLC-FLD). Source apportionment was conducted through rotated principal component analysis combined with multiple linear regression. Ecological risk was assessed using organic carbon normalization and the mean effects range-median quotient (M-ERM-Q) method, while carcinogenic potential was estimated using the toxic equivalent factor (TEQCARC). Total PAHs ranged from 22.02 to 130.55 ng g⁻¹ (mean: 55.26 ng g⁻¹); LMW PAHs averaged 37.38 ng g⁻¹, exceeding HMW PAHs (17.88 ng g⁻¹). No significant differences were observed among altitudinal zones, phenological stages or agronomic practices (p > 0.05). The predominant sources of PAHs were attributed to vehicular emissions (52.3%), petroleum and biomass combustion (42.1%), and coal combustion (5.4%). Ecological risk assessment revealed low contamination levels below established safety thresholds (CEC <290 μg g⁻¹), consistent with the carcinogenic risk estimated through TEQCARC (0.0083 to 18.7483 ng BaPeq g⁻¹). This study provides the first comprehensive evaluation of PAHs contamination in rice paddy soils in Peru and underscores the influence of altitude and agricultural practices, emphasizing the need for further research on pollution sources, impacts on crop productivity, and potential risks to human health.
Soil quality in olive orchards of southern Peru using a weighted soil quality index (SQIw): constraints by salinity, organic matter and sustainable management approach
(Frontiers Media S.A., 2026-02-09) Poma Chamana, Russell Hilario; Vilca Gamarra, César; Linares Escapa, Solmayra; Puma Huacani, Katherine; Carrillo, Alex; Villalta Soto, Martín J.C.; Quispe Matos, Kenyi Rolando
Introduction: Soil salinization and alkalinization in the arid zones of southern Peru pose major challenges to agricultural sustainability, particularly in the olive orchards of Bella Unión, where irrigation relies on surface and groundwater of variable quality. This study aimed to assess soil quality and its spatial variability to support site-specific management in olive (Olea europaea L.) orchards.
Methods: A total of 160 composite soil samples (0–30 cm) were collected from representative olive orchards and analyzed for pH, electrical conductivity (ECe), organic matter (OM), available phosphorus (Pav), available potassium (Kav), texture, and calcium carbonate equivalent (CCE). The Soil Quality Index (SQIw) was calculated and combined with multivariate and geostatistical analyses to identify key soil quality indicators and characterize their spatial variability.
Results: Soils showed high variability in salinity (ECe = 1.30–24.61 dS m⁻¹) and organic matter content (0.50–3.10%), while pH was relatively homogeneous (6.90–8.40). According to the SQIw, 1.26% of soils were classified as Very Poor, 44.96% as Poor, 51.49% as Acceptable, 2.28% as Good, and 0.01% as Optimal. Electrical conductivity was the main factor controlling the SQIw.
Discussion: These results indicate that salinity represents a major constraint for olive growth and productivity in the study area. Despite its lower weight in the SQIw, the generally low organic matter levels suggest limitations for soil fertility, water retention, and nutrient cycling, highlighting the need for organic amendments with low electrical conductivity. Nutrient management should also account for reduced nutrient availability under alkaline–saline conditions and the widespread organic matter deficiency. This study represents the first application of SQIw in Peruvian olive orchards and demonstrates its usefulness for delineating low-quality zones, guiding fertilization and soil recovery strategies, and promoting sustainable soil management in arid agroecosystems.
Comparative Analysis of Morphology, Resource Allocation, and Nutritional Characteristics in Populations of Festuca dolichophylla Cultivated in the Andean Region of Peru
(MDPI, 2026-02-03) Paucar, Ysai; Paucar, Samuel Porfirio; Mejía, Flor Lidomira; Vásquez, Héctor Vladimir; Zagaceta, Luis Homero; Saucedo Uriarte, José Américo; Yoplac, Ives; Flores, Enrique Ricardo; Contreras, José Luis; Argote Quispe, Gregorio Fructuoso; Yalli Huamaní, Teodoro Bill; Aguirre, Lucrecia
Grasslands are ecosystems of global importance; in Peru, they represent more than half of the country's territory. However, few studies have been conducted on high Andean grasslands. The objective was to study morphological, productive, resource allocation, and nutritional characteristics in five populations of Festuca dolichophylla grown under similar conditions. Populations that originated from Huancavelica Community and University, Junín, Pasco, and Puno were grown in Huancavelica Community in a randomized block design. After twelve months, a uniformization cut was performed, and five months later they were evaluated. Morphological characteristics, productivity, and resource allocation were analyzed with ANCOVA, the nutritional characteristics were analyzed with one-way ANOVA (considering population as a factor). Significant differences (p < 0.05) were found for morphological characteristics such as height, number and length of stems, and number of inflorescences. The resource allocation was 13.8% root, 18.4% crown, 29.2% culms + sheaths, 34.8% blades, and 3.8% inflorescence, with no differences between populations (p > 0.05). The Puno population stood out for its greater biomass, linked to more stems and inflorescences. Nutritional characteristics varied among populations in terms of crude fiber, neutral detergent fiber, acid detergent fiber, and in vitro dry matter digestibility. These findings are useful for selecting populations in revegetation or genetic breeding programs.
Agro-Environmental Vulnerability and Ecosystem Sustainability in Peruvian Family Farming: Integrating Survey Data, Spatial Modeling and Remote Sensing
(MDPI (Multidisciplinary Digital Publishing Institute), 2026-01-30) Pizarro, Samuel; Ccopi Trucios, Dennis; Otoya Barrenechea, José; Romero Vasquez, Juan; Tolentino Soriano, María; Cotrina Sanchez, Alexander; Barboza, Elgar
Subsistence family farming in Peru is increasingly constrained by ecosystem degradation, climate variability, and limited access to productive services, particularly where environmental exposure is high. This study develops an Agro-productive and Territorial Vulnerability Index (IVAPT) to evaluate environmental, ecosystem, and socioeconomic vulnerability of subsistence agriculture at the district level nationwide. The index integrates district-level agricultural survey data (ENA-2024) with multi-temporal MODIS NDVI series (2000–2024) and comprehensive climatic, topographic, land-cover, and accessibility indicators, processed through multivariate statistics. Three objective weighting schemes (ENTROPY, CRITIC, PCA) construct thematic sub-indices of Environmental Exposure (EnvExp), Ecosystem Condition (EcoCond), and Socioeconomic Capacity (SocioCap). Results show more than half of Peru's 1552 districts fall within moderate to very high vulnerability, with highest concentration in the Amazon region (Loreto, Ucayali, Madre de Dios), Andean-Amazonian transitions, and highland districts (Huancavelica, Apurímac, Ayacucho, Puno) where biophysical constraints, ecosystem pressure, and socioeconomic isolation converge. Dimensional spatial complementarity EnvExp peaking on coast, EcoCond in Amazon, SocioCap in Andes demonstrates effective vulnerability reduction requires dimension-specific interventions. Despite divergent weighting schemes, spatial patterns remained consistent, validating identified hotspots. IVAPT provides a reproducible framework supporting evidence-based territorial planning and targeted investments in water infrastructure, ecosystem restoration, and climate adaptation.
Determinación de plomo y cadmio en frutos de Mangifera indica L. (mango) cercanos a pozos de oxidación
(Universidad Nacional de Trujillo - Facultad de Ciencias Biológicas, 2026-01-29) Alarcon Cruz, Neidi; Peláez Gonzales, Romario Anibal; Chico Ruíz, Julio Roger; Campos Ruiz, Joseph; Campos Ruiz, Sanderson Narcizo; Calle Iparraguirre, Nander Oriol; García Carrasco, Elfer
Los metales pesados constituyen una de las principales fuentes de contaminación ambiental debido a su persistencia, bioacumulación y efectos adversos sobre los ecosistemas y la salud humana. El presente estudio tuvo como objetivo determinar las concentraciones de plomo (Pb) y cadmio (Cd) en frutos de Mangifera indica L. cultivados en áreas adyacentes a pozos de oxidación en el distrito y provincia de Jaén, Perú. La cuantificación de los metales se realizó mediante espectrofotometría de absorción atómica, siguiendo la normativa USEPA (1996) y el método 3052. Los resultados indicaron que el 33,3 % de las muestras superaron los límites máximos permisibles de Pb y el 3,33 % excedieron los valores establecidos para Cd, conforme al Codex Alimentarius, la Unión Europea y la legislación rusa. Asimismo, se observó mayor concentración de Pb en frutos de la parte inferior de la copa y de Cd en la zona media. En conclusión, los frutos evaluados no son aptos para consumo humano, representando un riesgo potencial para la salud pública.
Phenotypic variability of tarwi (Lupinus mutabilis S.) in Peruvian germplasm collections
(Genetic Resources Journal, 2026-01-28) Ortega Quispe, Kevin Abner; Peña Elme, Eunice Dorcas; Girón Aguilar, Rita Carolina; Amaro Camarena, Nery Amelia; Rios Chavarría, Claudia; Lopez Pariona, Bertha; Cerrón Mercado, Francis Gladys; Camargo Hinostroza, Steve; Pizarro, Samuel
The growing global loss of genetic diversity, phenotypic characterization becomes essential for identifying resilient varieties capable of diversifying and strengthening the agricultural production of underutilized crops such as tarwi (Lupinus mutabilis S.). This study aimed to characterize the phenotypic variability of 41 tarwi accessions conserved in the germplasm bank of the National Institute of Agricultural Innovation (INIA) of Peru. The accessions were evaluated over two consecutive agricultural seasons at the Santa Ana Agrarian Experimental Station under local conditions. Thirty morphological descriptors (17 qualitative and 13 quantitative) were used following IBPGR guidelines. Data were analyzed using descriptive statistics, principal component analysis, hierarchical clustering and correlation analysis for quantitative descriptors, as well as frequency tables and the Shannon-Weaver diversity index for qualitative descriptors. The results revealed high phenotypic variability, particularly in traits related to yield, plant architecture and floral attributes. The accessions were grouped into three morpho-agronomic types: (1) highly productive accessions, (2) accessions with vigorous vegetative development, and (3) short-cycle plants with moderate yields. Yield per plant was significantly associated with the total pod number, total seed mass in hundred seeds and seed thickness. The study revealed considerable phenotypic diversity, characterized by significant correlations among key agronomic traits, the delineation of three distinct phenotypic clusters, and the identification of valuable qualitative attributes, which reinforces their potential for conservation and breeding programmes. However, expanded germplasm evaluation and multi-environment trials are required to validate genotype stability and refine selection criteria. However, additional accessions and further analyses are needed to validate the observed patterns.
First characterization of somatic proteins of trematodes of the family Paramphistomidae by SDS PAGE isolated from cattle from the Cajamarca region, Peru
(Eldaghayes Publisher, 2026-01-31) Fernandez Mendoza, Charito Jennyfer; Tayca Saldaña, Antony; Cueva Rodríguez, Medali; Aliaga Tambo, Hector Fernando; Rodríguez Ulloa, Claudia Carolina; Alvarez García, Wuesley Yuesmein; Quilcate Pairazamán , Carlos Enrique; Cabrera González, Marco Antonio
ABSTRACT
Background: Paramphistomosis is a gastrointestinal parasitic disease of worldwide distribution, with higher prevalence in tropical and subtropical regions. Its biological cycle has a chronic phase caused by adult trematodes that adhere to the rumen mucosa and a highly pathogenic phase caused by immature trematodes, which induce acute parasitic gastroenteritis. Studies related to the parasite are very scarce in the region of Cajamarca, Peru, regarding the characterisation of antigenic proteins, considering that this parasitosis is endemic and has emerging characteristics.
Aim: The study aimed to characterise somatic proteins of adult forms of Paramphistomidae in cattle by electrophoresis, Sodium dodecyl sulphate-polyacrylamide gel electrophoresis.
Methods: For this purpose, 630 adult parasites were collected from the rumen and reticulum of cattle from the processing centre of Cajamarca, Peru.
Results: The number of protein bands in the paramphistomid somatic crude extract was variable depending on the concentration of the protein analyzed. Thus, concentration 2 showed the highest number of protein bands (21 bands) with molecular weights (MW) within a variable range of 15 kDa–119 kDa. The results of ITS-2 gene sequencing, after alignment in NCBI’s Basic Local Alignment Search Tool of the obtained consensus sequences, show 100% similarity to sequences belonging to the species Calicophoron microbothrioides.
Conclusion: Twenty-one protein bands from the somatic extract were characterized. The MWs of these bands ranged from 15 kDa to 119 kDa. This study may help carry out alternative control programmes, such as developing vaccines, choice of appropriate drugs due to the therapeutic failures expressed by this parasite. In addition, molecular identification based on ITS-2 gene sequencing revealed a 100% sequence similarity with Calicophoron microbothrioides.
Integrating agroecological suitability of cacao (Theobroma cacao L.) with biodiversity and land-use constraints in Peru
(Elsevier Ltd., 2026-01-29) Cotrina Sanchez, Alexander; Guzman Valque, Betty Karina; Barboza, Elgar; Oliva, Manuel; Huaman Pilco, Angel Fernando; Rojas Briceño, Nilton B.
CONTEXT: Cacao cultivation is vital for rural economies in Peru, but its expansion often overlaps with sensitive ecosystems, raising concerns for biodiversity conservation. Despite international commitments to deforestation-free supply chains, integrated analyses combining agroecological suitability with land-use constraints remain scarce in Peru.
OBJECTIVES: This study aims to identify suitable areas for cacao cultivation under multiple exclusion scenarios, evaluate conflicts with biodiversity and conservation areas, and quantify degraded lands that could provide opportunities for agroforestry-based restoration.
METHODS: Cacao suitability was modelled with an ensemble of nine machine-learning algorithms using bioclimatic, edaphic, and topographic predictors. Outputs were filtered to exclude biophysical barriers and overlaid with national-scale layers of species richness, protected areas, forest cover, and degraded lands through GIS-based spatial analysis to evaluate exclusion scenarios and trade-offs.
RESULTS AND CONCLUSIONS: The ensemble achieved high predictive power, with Random Forest (AUC = 0.997) and XGBoost (AUC = 0.972) performing best. Highly suitable areas were concentrated in the Andean-Amazon transition, especially in San Martín, Cusco, Huánuco, and Junín departments, where they overlapped with biodiversity hotspots and legally protected areas. Degraded yet suitable lands highlighted opportunities to expand cacao through agroforestry systems, reducing forest pressure and enhancing ecological restoration.
SIGNIFICANCE: By integrating suitability modelling with national-scale geospatial layers, this study delivers a framework linking crop suitability with land-use constraints. The findings support national-scale planning while remaining adaptable to local contexts. They also align with international policy frameworks such as the European Deforestation Regulation (EUDR), promoting sustainable cacao production, biodiversity conservation, and long-term rural development in Peru.
Dominance of large trees in carbon storage of Peruvian Amazon forest
(Frontiers Media S.A., 2026-01-26) Lozano, Andi; Gaona Jimenez, Nery; Alvarado, Jaime W.; García Gonzáles, Patricia; Alva Arévalo, Alberto; Ordoñez, Luis; Saavedra Ramírez, Jorge; Tuesta Hidalgo, Juan C.; Vilela, Luis; Tuesta Hidalgo, Oscar A.; Baselly Villanueva, Juan Rodrigo; Chuchon Remon, Rodolfo Juan; Rengifo Del Águila, Sofía; Marin , César; Vallejos Torres, Geomar
Introduction: Forest carbon accumulation is crucial to mitigate ongoing climate change, as large individual trees store a substantial portion of the total carbon in biomass. In this study, large trees and carbon storage were estimated in five forests in the Peruvian Amazon.
Methods: For the study, 100 plots were selected (twenty 500 m2 plots per forest site), distributed between 382 to 2086 meters above sea level. Various relationships were explored between the diameter at breast height (DBH) of the most abundant tree species and above- and below-ground carbon. The average carbon content in the tree was calculated based on 50% of the total tree volume at five sites of the Peruvian Amazon.
Results: The site with most tree species (Alto Mayo Forest), had 59 tree species. The species Brosimum alicastrum, Ficus insipida, Manilkara bidentata, Inga sp., and Pourouma cecropiifolia showed an average aboveground carbon of 2.31, 3.09, 2.52, 2.78, 2.93 t ha-1, respectively, and values of 0.35, 0.48, 0.38, 0.42 and 0.43 t ha-1 of belowground carbon in trees with ≥ 46 cm DBH. Nectandra sp. showed an above and belowground carbon of 2.50 and 0.38 t ha-1 in trees with ≥ 46 cm DBH, while Cedrelinga catenaeformis showed averages of 5.21 and 0.74 t ha-1 of above and belowground carbon in trees with ≥ 61 cm DBH.
Discussion: It was concluded that given the urgency of keeping carbon reserves out of the atmosphere, it is necessary to conserve trees larger than 41 cm, this also allows conserving forest biodiversity and microfauna by buffering the microclimate in the face of future climate changes.
Phenotypic and Agromorphological Diversity Reveals Detailed Information About Accessions with Productive Potential for Cotton (Gossypium barbadense L.) in Northeastern Peru
(Plants, 2026-01-21) Cordova Sinarahua, Deyvis; Linares Huapaya, Susan Maribel; Manco Céspedes, Emma Imelda
Cotton (Gossypium barbadense L.) is a crop of great economic importance, as the superior quality of its fiber is highly valued worldwide. The objective of this research was to evaluate the agromorphological diversity of cotton germplasm using both qualitative and quantitative descriptors. A combination of univariate and multivariate statistical analyses was applied to identify promising accessions. The coefficients of variation (GCV and PCV) and high heritability estimates observed for descriptors such as the number of sympodial branches, fiber weight, and number of seeds per capsule confirm genetic control, ensuring the effectiveness of selection in future breeding programs. Correlation analysis revealed a strong positive relationship between lint yield and number of bolls per plant (0.893). Furthermore, principal component analysis indicated that accessions PER1010536, PER1010538, PER1010543, and PER1010547 were associated with high yield and early-maturity traits. Furthermore, multiple correspondence analysis and mixed data factor analysis demonstrated that the observed variability also depends on qualitative traits such as petal spot and bract color, supporting the concept of a complex genetic architecture. These findings provide a solid basis for the development of new cotton cultivars with improved productivity.