Examinando por Autor "Cuellar Condori, Néstor Edwin"

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Critical edaphic and altitudinal factors influencing cation exchange capacity in coffee-growing soils of northeastern Peru: implications for sustainable fertility management
(Frontiers Media SA, 2026-05-05) Díaz Chuquizuta, Henry; Manrique Gonzales, Luis Fernando; Sánchez Ojanasta, Martín; Cuevas Giménez, Juan Pablo; Carbajal Llosa, Carlos Miguel; Cuellar Condori, Néstor Edwin; Martínez Zapata, Boris Guillermo; Vallejos Torres, Geomar
Introduction: Effective cation exchange capacity (ECEC) is a key indicator of soil fertility and sustainable soil management assessment in coffee-growing systems. Methods: This study aimed to identify the principal edaphic and altitudinal factors explaining ECEC variability in 69 soil samples collected from coffee farms in northeastern Peru. Results: ECEC results exhibited substantial variation, ranging from 0.14 to 55.49 cmol(+)·kg⁻¹ (mean = 15.21; SD = 12.47), and were significantly correlated with organic matter (r = 0.71), clay content (r = 0.62), exchangeable acidity (r = -0.63), and altitude (r = 0.33). Principal component analysis accounted for 64.3% of the edaphic variability, identifying Ca²⁺, pH, Mg²⁺, and exchangeable acidity as the most influential variables. The Random Forest model demonstrated high predictive accuracy (R² = 0.93; root mean square error (RMSE) = 2.1 cmol(+)·kg⁻¹), outperforming the generalized additive model (GAM) and identifying Ca²⁺ as the most important predictor (IncMSE% = 3177.37). A functional altitudinal gradient was also evident: areas above 1150 m.a.s.l. showed higher acidity and aluminium content, whereas areas below 900 m.a.s.l. exhibited greater base saturation and higher ECEC. Discussion: These findings support the development of site-specific fertilization strategies and soil–climate zoning, emphasizing the value of integrating multivariate analyses with machine-learning models as key tools for optimizing fertility management and coffee crop productivity in tropical mountain ecosystems; where soil texture represents a key factor influencing coffee sustainability, as greater nutrient retention capacity and improved nutritional balance are associated with enhanced potential for sustainable production and reduced environmental impact.
Manual para la valorización de residuos agrícolas y pecuarios altoandinos para la producción de biofertilizantes
(Instituto Nacional de Innovación Agraria (INIA), 2025-07-24) Cuellar Condori, Néstor Edwin; Solórzano Acosta, Richard Andi
El Instituto Nacional de Innovación Agraria (INIA) es un organismo técnico especializado adscrito al Ministerio de Desarrollo Agrario y Riego (MIDAGRI), que desarrolla actividades de investigación, transferencia tecnológica, aprovechamiento y conservación de los recursos genéticos; además de la producción de semillas, plantones y reproductores de alto valor genético. El INIA, a través de la Dirección de Servicios Estratégicos Agrarios (DSEA), viene ejecutando el proyecto de inversión “Mejoramiento de los servicios de investigación y transferencia tecnológica en el manejo y recuperación de suelos agrícolas degradados y aguas para riego en la pequeña y mediana agricultura en los departamentos de Lima, Áncash, San Martín, Cajamarca, Lambayeque, Junín, Ayacucho, Arequipa, Puno y Ucayali”, con CUI N° 2487112, el cual tiene como uno de sus objetivos evaluar prácticas alternativas para el manejo de suelos y agua en la producción agrícola. La creciente preocupación por los efectos negativos del uso excesivo de fertilizantes químicos ha impulsado la búsqueda de alternativas más ecológicas para el manejo de la fertilidad del suelo. En este contexto, en la región altoandina, el aprovechamiento de insumos locales provenientes de actividades agrícolas y pecuarias se presenta como una opción viable para la producción de biofertilizantes. Esta alternativa no solo ayuda a restaurar la fertilidad de los suelos, sino también a mitigar el impacto ambiental del manejo tradicional de los residuos. En este marco, se elaboró el “Manual para la valorización de residuos agrícolas y pecuarios altoandinos para la producción de biofertilizantes” como resultado de un esfuerzo colaborativo entre expertos en agronomía y sostenibilidad ambiental. El presente documento está dirigido a agricultores, técnicos agropecuarios y profesionales del sector para promover buenas prácticas agrícolas que contribuyan a la sostenibilidad y mejora de la productividad en la región andina.
Spatial variation of acidic sodic soils in high-andean environments and theoretical estimation of gypsum requirement
(John Wiley, 2026-06-03) Quispe Matos, Kenyi Rolando; Hermoza Ayme, Nilton Alexander; Mejia Maita, Sharon Yahaira; Ccosi Mamani, Elvis David; Miranda Quispe, Dalmecio; Choquechambi Apaza, Luz Aleida; Choquehuanca Murillo, Katherin Heidy; Carrasco Ordoñez, Edgar Raddy; Cuellar Condori, Néstor Edwin
High-Andean forage systems are characterized by extensive management of cultivated forages, primarily through rotation of forage oats (Avena sativa) and alfalfa (Medicago sativa), under marginal edaphoclimatic conditions. Within this context, soil sodicity severely constrains the productivity of these systems in the districts of Ayaviri and Macarí, Melgar Province, Peru. However, spatially explicit information on gypsum requirements (GR) for sodic-soil reclamation remains unavailable. To address this gap, this study aimed to: (i) develop a weighted Soil Quality Index (SQIw) for sodic soils, (ii) delineate sodicity-affected areas across districts, soil classes and environmental conditions and (iii) generate high-resolution maps of gypsum requirements using regression kriging (RK). A total of 1273 soil samples were analysed in high-altitude areas of Ayaviri and Macarí. Key sodicity-related variables included exchangeable sodium percentage (ESP), clay flocculating charge and Modified Soil-Adjusted Vegetation Index (MSAVI) selected through Pearson correlation and principal component analysis to construct the SQIw, while regression kriging was used to generate spatially explicit gypsum requirement maps. Results showed wide variability in pH and ESP, reflecting heterogeneous sodicity conditions across the study area, with Macarí presenting higher soil quality (SQIw = 0.61) than Ayaviri (SQIw = 0.44). Sandy loam soils and acid saline–sodic soils exhibited the greatest vulnerability. Regression kriging achieved high predictive accuracy for GR estimation (R² = 0.97 in Ayaviri; R² = 0.85 in Macarí), enabling precise delineation of priority intervention zones. The resulting GR maps provide a robust basis for site-specific gypsum application, improving amendment efficiency, reducing unnecessary costs and supporting sustainable sodicity management in vulnerable High-Andean agroecosystems.