Examinando por Autor "Cruz Luis, Juancarlos Alejandro"

Mostrando 1 - 20 de 62

Agricultural research and extension: trends and challenges in Peru and around the world (2015–2025)
(Frontiers Media S.A., 2025-12-17) Olano Camán, Yadhira Milagros; Cruz Luis, Juancarlos Alejandro; Alvarez Robledo, Yeltsin Abel; Chuquibala Checan, Beimer; Arce Inga, Marielita; Tafur Culqui, Josué; Fernandez Zárate, Franklin Hitler; García Frias, Larry Dustin; Taboada Mitma, Víctor Hugo; Ganoza Roncal, Jorge Juan; Tineo Flores, Daniel; Goñas Goñas, Malluri
Agricultural extension, understood as producer-oriented guidance, is vital for driving technology adoption and sector development. This systematic review (2015–2025) examines global and national trends in agricultural research and extension, witha particular focus on Peru's policy landscape. Internationally, the U.S.A., China, and Europe are identified as leaders in scientific innovation, while Brazil excels regionally through its integrated approach to research, innovation, and extension. Agricultural research is still centralized in Lima on a national level, but expanding capability in areas like Amazonas, Junín, and Puno emphasizes how urgently decentralization is needed. By comparing national research output with MIDAGRI’s Agrarian Development Plan 2021–2030 and relevant Sustainable Development Goals (SDGs), the study reveals strong thematic alignment in innovation, food security, and climate adaptation. Crucially, however, significant shortcomings are identified in governance and the effective inclusion of small-scale producers. Based on these findings, this study recommends strengthening decentralized R&D investment, fostering interregional research networks, and promoting strategic collaboration among universities, local governments, and rural communities. Ensuring the active participation of producers in the innovation cycle is essential for building a more inclusive, resilient, and effective agricultural extension system aligned with sustainable development goals.
Analyzing urban expansion and land use dynamics in Bagua Grande and Chachapoyas using cloud computing and predictive modeling
(Springer Nature, 2024-09-26) Barboza, Elgar; Turpo, Efrain Y.; Salas Lopez, Rolando; Silva López, Jhonsy O.; Cruz Luis, Juancarlos Alejandro; Vásquez, Héctor V.; Purohit, Sanju; Aslam, Muhammad; Tariq, Aqil
Urban growth and Land Use/Land Cover (LULC) changes have increased in recent decades due to anthropogenic activities. This study explored past and projected future LULC changes and urban growth patterns in the Bagua Grande and Chachapoyas districts using Landsat imagery, cloud computing, and predictive models for 1990 to 2031. The analysis of satellite images was grouped into four time periods (1990–2000, 2000–2011, 2011–2021 and 2021–2031). The Google Earth Engine (GEE) cloud-based system facilitated the classification of Landsat 5 ETM (1990, 2000, and 2011) and Landsat 8 OLI (2021) images using the Random Forest (RF) model. A simulation model integrating Cellular Automata (CA) and an Artificial Neural Network (ANN) Multilayer Perceptron (MLP) in the MOLUSCE plugin of QGIS was used to forecast urban sprawl to 2031. The resulting maps showed an overall accuracy (OA) of over 92%. A decrease in forested area was observed, from 20,807.97 ha in 1990 to 14,629.44 ha in 2021 in Bagua Grande and from 7,796.08 ha to 3,598.19 ha in Chachapoyas. In contrast, urban areas experienced a significant increase, from 287.49 to 1,128.77 ha in Bagua Grande and from 185.65 to 924.50 ha in Chachapoyas between 1990 and 2021. By 2031, the urban area of Bagua Grande is expected to increase from 1,128.77 to 1,459.25 ha (29%) in a southeast, south, southwest, west, and northwest direction. Chachapoyas expanded from 924.50 to 1138.05 ha (23%) in the southwest, north, northeast, and southeast directions. The study presents an analytical method integrating cloud processing, GIS, and change simulation modeling to evaluate urban growth spatio-temporal patterns and LULC changes. This approach effectively identified the main LULC changes and trends in the study area. In addition, potential urbanization areas are highlighted where there are still opportunities for developing planned and managed urban settlements.
Assessment of soil characteristics and the productive potential of native Poaceae forage species in the Central Highlands of Peru
(Polish Society of Ecological Engineering, 2025-06-10) Arias Arredondo, Alberto; Yalli Huamaní, Teodoro Bill; Cruz Luis, Juancarlos Alejandro; Requena Rojas, Edilson Jimmy; Solórzano Acosta, Richard Andi
Given the increasing pressure on natural grassland ecosystems in the Peruvian high Andes, optimizing the use of native forage species has become essential for understanding the relationship between soil characteristics and the productive potential of these plants. This study evaluated the relationship between soil properties and the produc tive potential of three native forage species: Festuca dolichophylla, Cinnagrostis vicunarum, and Jarava ichu. The research was conducted in natural grasslands in the district of Yauli, province of Yauli, department of Junin, at approximately 4000 m.a.s.l. During the dry season 2023, soil samples were collected following standardized protocols, and key soil parameters were analyzed. The nutritional characteristics of the forage species were also assessed, including dry matter content, total protein, calcium, phosphorus, in vitro organic matter digestibility, and metabolizable energy. The results revealed significant differences among species. Festuca dolichophylla exhibited the highest protein content (10.7%), superior digestibility (52.5%), and greater metabolizable energy (8.4 MJ∙kg-1), making it the most suitable forage option for livestock in the highland ecosystem over 4000 m.a.s.l., where en vironmental factors constrain agricultural activity. In contrast, Cinnagrostis vicunarum and Jarava ichu showed lower protein levels, with Jarava ichu displaying particularly low digestibility (28.9%) and energy content (4.6 MJ∙kg-1), limiting its productive potential despite its high dry matter yield. These findings provide a strong scien tific foundation for developing sustainable grassland management strategies in the Peruvian Andes, supporting the implementation of agronomic practices that enhance forage productivity while contributing to biodiversity conser vation. Moreover, this study highlights the importance of soil characterization as a key tool for optimizing forage resource utilization in high-altitude farming systems, facilitating informed decision-making in land management and environmental remediation policies.
Atlas de las Estaciones Experimentales Agrarias del INIA
(Instituto Nacional de Innovación Agraria, 2023-10-30) Cruz Luis, Juancarlos Alejandro; Ortiz Morera, Narda Cecilia; Quispe Torres, Diego Rafael; Lobato Gálvez, Roiser Honorio; Ramirez Rojas, Max Augusto; Toledo Choquehuanca, José Jesús Martín; Bautista Reynoso, Ayrton Edwin; Macavilca Villar, Pedro Miguel; Ascoy Cancino, José Ricardo; Casaretto Castagnino, Duilio Casaretto; Servan Montalvo, Henry Eduardo; Hernández Apari, Karla Guadalupe
El presente Atlas contiene información de los aspectos relevantes de las Estaciones Experimentales Agrarias, tales como: creación, Centros Experimentales, ubicación y ámbito de intervención. Asimismo, presenta una colección de mapas que contribuye al conocimiento geográfico de éstas, así como de las actividades de conservación y puesta en valor de recursos genéticos, investigación, desarrollo tecnológico, producción de material genético de calidad, transferencia de tecnología, extensión agraria y servicios tecnológicos agrarios que se desarrollan a nivel nacional.
Atlas de las Estaciones Experimentales Agrarias del INIA
(Instituto Nacional de Innovación Agraria, 2025-04-29) Cruz Luis, Juancarlos Alejandro; Ortiz Morera, Narda Cecilia; Quispe Torres, Diego Rafael; Atalaya Lopez, José S.; Marcavilca Villar, Pedro Miguel; Ramírez Aparicio , Jorge A.; Salinas Rivera, Juan L.; Escobar Cuadros, Francisco; Carbajal Llosa, Carlos Miguel; Olivarez Rivera, Evelyn L.; Casaretto Castagnino, Duilio; Ganoza Roncal, Jorge Juan
El Instituto Nacional de Innovación Agraria (INIA) es un organismo técnico especializado adscrito al Ministerio de Desarrollo Agrario y Riego (MIDAGRI) que cumple funciones y desarrolla actividades de investigación, transferencia tecnológica y extensión en materia agraria. Es responsable de la generación de conocimientos y tecnologías, de la conservación y puesta en valor de los recursos genéticos de la agrobiodiversidad, así como de la producción de semillas, plantones y reproductores de alto valor genético. Asimismo, brinda servicios tecnológicos a través de una red de laboratorios a nivel nacional. Como ente rector del Sistema Nacional de Innovación Agraria (SNIA), articula y regula la investigación, desarrollo e innovación (I+D+i) con los actores del SNIA, orientadas a la competitividad, seguridad alimentaria y adaptación al cambio climático, a través de la política y el Plan Nacional de Innovación Agraria. Las funciones del INIA son desarrolladas de manera articulada y descentralizada desde sus veinticinco (25) Estaciones Experimentales Agrarias (EEA) a nivel nacional, las que están conformadas por Centros Experimentales (CE) ubicados a nivel regional. El presente atlas contiene información de los aspectos relevantes de las Estaciones Experimentales Agrarias, tales como: creación, Centros Experimentales, ubicación y ámbito de intervención. Asimismo, presenta una colección de mapas que contribuye al conocimiento geográfico de éstas, así como de las actividades de conservación y puesta en valor de recursos genéticos, investigación, desarrollo tecnológico, producción de material genético de calidad, transferencia de tecnología, extensión agropecuaria y servicios tecnológicos agrarios que se desarrollan a nivel nacional. Este documento es una colección cartográfica y un material de consulta que contribuye al conocimiento geográfico de las Estaciones Experimentales Agrarias y sus Centros Experimentales, el cual está dirigido no solo a los actores del SNIA, sino también a la sociedad civil en su conjunto; con el objeto de informar sobre el rol que desempeñan estos centros del INIA y su esencial aporte para enfrentar los desafíos del agro en condiciones de cambio climático.
Characterization and typology of goat production systems in the Southern Highlands of Peru
(Veterinary World, 2025-01-29) Sessarego Dávila, Emmanuel Alexander; Trillo Zarate, Fritz Carlos; Godoy Padilla, David José; Palomino Guerrera, Walter; Cruz Luis, Juancarlos Alejandro
Background and Aim: Characterizing local animal production systems is crucial for sustainable livestock development. This study aimed to characterize the diversity of goat production systems in the Highlands of Chincha province, Ica, Peru. Materials and Methods: A structured questionnaire was used to gather data from 82 goat breeders in three districts: San Juan de Yanac, San Pedro de Huacarpana, and Chavín. Factor analysis of mixed data and hierarchical classification analysis were conducted to identify typologies of goat production systems using R version 4.4.2. Results: Four distinct goat production types were identified, primarily differentiated by feeding location and deworming frequency. Type 2 (41.5%) was the most prevalent, characterized by grazing on breeders own land, minimal milk production (<1 liter/day, 91.2%), and a focus on cheese and goat kid sales (70.6%). Breeders were predominantly women, with limited resources and extensive management systems. Across all types, mixed breeding was common, and economic reliance on livestock and agriculture prevailed. Conclusion: Despite their diversity, all goat production systems shared extensive management practices and resource constraints, resulting in low productivity. These findings highlight the need for targeted public policies to improve productivity and sustainability in goat farming within the Ica region.
Characterization of dairy goat production systems in coastal valleys of the Lima region
(Springer, 2024-10-23) Paredes Chocce, Miguel Enrique; Ramírez Vergara, Raúl Omar; Trillo Zárate, Fritz Carlos; Cruz Luis, Juancarlos Alejandro
Goat farming in Peru is a husbandry activity that, although it is considered secondary in the country, has a great economic and social impact on the rural population, that is why government efforts to develop is so important. The objective of this study was to characterize dairy goat rearing systems in the coastal valleys of the Lima region to identify gaps and opportunities for improvement. This cross-sectional research was conducted in four provinces located in the Lima region, Peru. A total of 62 goat farmers participated in the trial. For data collection, a standard survey was prepared with open and closed questions distributed across two components (socioeconomic and productive). The surveys were processed for qualitative variables using a multiple correspondence analysis (MCA) followed by a hierarchical cluster analysis (HCA) to differentiate the types of farming systems prevalent based on the survey population. The hierarchical cluster analysis resulted in the formation of three separate groups of goat farmers, which can be classified as extensive systems differentiated by management practices and their production and marketing objectives. The test showed a significant difference; therefore, it can be affirmed that they are associated with the groups or clusters formed. These results will allow actors related to goat farming, such as state and regional entities, to focus efforts on addressing specific demands of the different types of goat farmers found in this study.
Characterization of goat production systems in the Amazonian dry tropical forest of Peru through multivariate analysis
(Frontiers, 2025-10-21) Rodríguez Vargas, Aníbal Raúl; Tafur Gutiérrez, Lucinda; Sessarego Davila, Emmanuel Alexander; Alva Tafur, Gudelio; Castañeda Palomino, Katherine Milagros; Haro Reyes, José Antonio; Ruiz Chamorro, José Antonio; Barrantes Campos, Cecilio; Cruz Luis, Juancarlos Alejandro
The study aimed to characterize goat production systems in the tropical dry forest of Peru through multivariate analysis of 25 socioeconomic and productive variables in 60 producers from Bagua Grande, El Milagro, Cajaruro, and Cumba. Descriptive analysis, multidimensional scaling (stress = 0.03272), categorical principal component analysis (CATPCA), and hierarchical clustering analysis (HCA) were applied. A predominance of extensive management (98.3%), with low technical assistance (81.7%), absence of irrigation (90%), and visual selection of animals (100%) was identified. Marketing responds to immediate economic needs (36.7%), while vaccination coverage is poor (88.3% not vaccinated). CATPCA explained 54.5% of the variance (Cronbach's alpha = 0.965), highlighting producer education, infrastructure, and access to water and energy as key factors for improving production efficiency and mitigating commercial seasonality. HCA identified two goat production systems: the improved extensive system (EES) and the traditional extensive system (TES). The EES grouped older and more experienced producers, with larger herds, higher sales weights, greater specialization, forage diversification, better infrastructure, and higher deworming frequency. In contrast, the TES included younger producers with smaller herds, lower sales weights, lower educational levels, agricultural dependence, less forage diversity, limited infrastructure, and limited sanitary measures. These differences highlight the impact of knowledge and technological development on productive sustainability. It is concluded that technological development, access to resources, and production experience are key to improving the efficiency and sustainability of goat systems in the tropical dry forests of Peru.
Characterization of Goat Production Systems in the Northern Dry Forest of Peru Using a Multivariate Analysis
(MDPI, 2025-02-16) Temoche Socola , Victor Alexander; Acosta Granados , Irene Carol; Gonzales, Pablo; Godoy Padilla, David; Jibaja, Omar; Cruz Luis, Juancarlos Alejandro; Corredor Arizapana, Flor Anita
Goat production in the dry forest of northern Peru is essential for rural livelihoods but remains poorly characterized regarding its productivity and sustainability. This study used multivariate techniques—a multiple correspondence analysis (MCA), principal component analysis (PCA), factor analysis of mixed data (FAMD), and hierarchical cluster analysis (HCA)—to analyze data from 284 producers in Tumbes, Piura, and Lambayeque. Surveys captured 48 variables (41 qualitative, seven quantitative) on productivity, socioeconomics, and management. The MCA explained 22.07% of the variability in two dimensions, while the PCA accounted for 63.9%, focusing on productivity and diversification. The FAMD integrated these variables, explaining 51.12% of variability across five dimensions, emphasizing socioeconomic and management differences. The HCA identified three clusters: cluster 1 featured intensive systems with advanced management and commercial focus, cluster 2 included extensive systems limited by water scarcity, and cluster 3 reflected semi-intensive systems with irrigation and diversified production. These findings provide a detailed understanding of goat systems in northern Peru, identifying opportunities to improve resource use and tailor strategies to enhance sustainability. The multivariate analysis proved effective in capturing the complexity of these systems, supporting productivity and improving livelihoods in rural areas.
Characterization of the complete mitochondrial genome of the black Alpaca breed of Vicugna pacos (Mammalia, Artiodactyla, Camelidae) from Puno, Peru
(Taylor & Francis Group, 2020-03-09) Bustamante, Danilo E.; Yalta Macedo, Claudia Esther; Cruz Luis, Juancarlos Alejandro; Maicelo Quintana, Jorge Luis; Guerrero Abad, Juan Carlos; Gutiérrez Reynoso, Dina Lida
The domestic South American camelid Vicugna pacos L. is distributed along Peru, Chile, Bolivia, and Argentina. Here, we contribute to the bioinformatics and evolutionary systematics of the Camelidae by performing high-throughput sequencing analysis on the black Huacaya breed of V. pacos from Puno, Peru. The black Huacaya breed mitogenome is 16,664 base pairs (bp) in length and contains 37 genes (GenBank accession MT044302). The mitogenome shares a high-level of gene synteny to other Camelidae (Camelops, Camelus, Lama, and Vicugna). The mitogenome of the black Huacaya breed of V. pacos situates it in a clade with V. vicugna Molina, sister to Lama. We anticipate that further mitogenome sequencing of different breeds from Vicugna pacos will improve our understanding of the evolutionary history of this taxon.
Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration
(Elsevier, 2024-12-12) Pizarro Carcausto, Samuel Edwin; Pricope , Narcisa G.; Vera Vilchez, Jesús Emilio; Cruz Luis, Juancarlos Alejandro; Lastra Paucar, Sphyros Roomel; Solórzano Acosta, Richard Andi; Verástegui Martínez, Patricia
The quality and safety of soil are crucial for ensuring social and economic development and providing contaminant-free food. The availability and quality of soil data, particularly for multiple metals and metalloids, are often insufficient for comprehensive analysis. Soil formation and the distribution of metals are shaped by various factors such as geology, climate, topography, and human activities, making accurate modeling highly challenging. Additionally, agricultural intensification, urban expansion, road construction, and mining activities frequently result in soil pollution, posing serious risks to ecosystems and human health. This study aims to integrate diverse geospatial datasets with machine learning for high resolution soil contamination mapping (10 m spatial resolution) in a major agricultural region of Peruvian highlands. This study mapped 25 elements (Ca, Mg, Sr, Ba, Be, K, Na, As, Sb, Se, Tl, Cd, Zn, Al, Pb, Hg, Cr, Ni, Cu, Mo, Ag, Fe, Co, Mn, V) in the Peruvian Mantaro Valley using a training dataset of 109 topsoil samples combined with various geospatial datasets (remote sensing, climate, topography, soil data, and distance). The model provided satisfactory results in predicting the spatial distribution of the selected elements, with R² values ranging from 0.6 to 0.9 for most elements. Edaphic, climate, and topographic covariates were the most significant predictors, particularly for croplands near rivers, whereas spectral variables were less important. The results reveal As, Pb, and Cd concentrations significantly above permissible limits, highlighting urgent health risks. These findings suggest that it is feasible to identify polluted soils and improve regulations based on widely available geospatial datasets with minimal training data. The study contributes to the development of models to assess the impact of pollutants on environmental and human health in the short-to-medium term, emphasizing the need for further research on the translocation of toxic metals into food crops and the implications for public health.
Cover crops associated with quinoa (Chenopodium quinoa Willd) in the Peruvian Altiplano: Erosion reduction, improved soil health and agricultural yield
(Universidad Nacional de Trujillo, 2022-09-21) Salcedo Mayta, Selima Milagros; Canihua Rojas, Jorge; Samaniego Vivanco, Tomás Daniel; Cruz Luis, Juancarlos Alejandro; Pérez Porras, Wendy Elizabeth; Cosme de la Cruz, Roberto Carlos
El Altiplano peruano presenta pérdidas crecientes de fertilidad, siendo a su vez susceptible a una erosión natural. Durante muchos años, un manejo agrícola convencional ha generado pérdidas de la capa superficial del suelo y deterioro de sus propiedades, teniendo gran impacto en el rendimiento de los cultivos y profundizando la degradación de este ecosistema vulnerable. El propósito de esta investigación fue evaluar el uso de cultivos de cobertura frente a la erosión, salud del suelo y rendimiento del cultivo de quinua. El ensayo se realizó en las localidades Huancarani y Cahualla, distrito Mañazo, provincia y región Puno. Se utilizó un diseño experimental de bloques completos al azar (DBCA) con cuatro tratamientos: sin cobertura y con coberturas de trébol (Medicago hispida G.), vicia (Vicia villosa) y mulch. Los resultados mostraron que la quinua asociada con coberturas de trébol, mulch y vicia redujeron la erosión del suelo en 59,61%, 51,87% y 49,50%, respectivamente. Asimismo, el uso de coberturas de trébol y vicia aumentó el carbono orgánico (+29,71% y 31,16%) y nitrógeno (+36,94% y 48,65%), y con el trébol, el fósforo disponible (+26,11%). Finalmente, la cobertura de trébol aumentó en 17% el rendimiento de la quinua en grano y redujo significativamente la erosión del suelo. Estos resultados muestran que los cultivos de cobertura presentan gran potencial para el restablecimiento de la salud del suelo y mejora en el rendimiento.
Creole goat morphological diversity partially mirrors district-level variation in the seasonally dry forest of Piura in Peru
(Public Library of Science, 2025-12-31) Haro Reyes, José Antonio; Sessarego Davila, Emmanuel Alexander; Cruz Flores, Danny Julio; Gonzales Guevara, Pablo Ross; Ruiz Chamorro, José Antonio; Cruz Luis, Juancarlos Alejandro
Livestock systems in marginal ecosystems such as seasonally dry forests (SDFs) face increasing sustainability challenges, yet the role of morphology in mediating animal adaptation to local environmental and management conditions remains underexplored. In the Piura region of northern Peru—home to the country's most extensive SDF and its leading hub of goat production—Creole goats represent a diverse and under-characterized resource shaped by natural and human selection. Despite Creole goats' relevance, little is known about the spatial structure of their phenotypic variation or how it may signal emerging regional morphotypes. Addressing this gap, we conducted a comprehensive morphometric analysis of 617 female Creole goats across three distinct districts within Piura's SDF. Using linear body measurements (LBMs), morphometric indices, and multivariate analyses, we revealed significant district-level phenotypic differentiation. Goats from Catacaos exhibited consistently larger body dimensions and higher compactness indices, forming a distinct cluster in hierarchical analyses and suggesting the emergence of a localized morphotype. Notably, this phenotypic pattern was largely driven by animals from four specific farmers, pointing to the potential influence of herd-level management practices or breeding history. Despite this within-district heterogeneity, the Catacaos subgroup remained clearly differentiated from goats in Lancones. Principal component analysis of LBMs identified a dominant size axis explaining over 70% of variance, with Catacaos goats diverging along this dimension. In contrast, morphometric indices showed weaker discriminatory power. These findings suggest that LBMs outperform derived indices in capturing fine-scale phenotypic structure and may reflect both ecological adaptation and management-driven selection. Our results underscore the potential of morphometric profiling for identifying regionally adapted livestock types and lay the groundwork for future geographic indication schemes that valorize local biodiversity and support rural livelihoods.
Desempenho e valor nutricional da forragem hidropônica de cevada verde na alimentação de porquinhos-da-índia
(Revista Acadêmica Ciência Animal, 2025-02-03) Taboada Mitma, Víctor Hugo; Sarria Bardales, José Antonio; Cruz Luis, Juancarlos Alejandro; Huamaní Bedoya, Daniel; Buendía Molina, Marilyn Aurora
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 maiores consumos de ração em base seca (3538,9 e 3239,9 g, respectivamente; p < 0,05), seguidos por T1 (2973,4 g). As melhores conversões alimentares foram apresentadas em T1 (3,81), T4 (4,11) e T5 (4,63), e as cobaias de T5 (74,79%), T4 (74,26%) e T1 (73,66%) obtiveram as maiores porcentagens de carcaça (p < 0,05). Em conclusão, o sistema de alimentação integral e misto tem uma influência positiva sobre os parâmetros produtivos.
Efficacy of Biological and Chemical Control Agents Against the Potato Psyllid (Bactericera cockerelli Šulc) Under Field Conditions
(MDPI (Multidisciplinary Digital Publishing Institute), 2025-12-03) Cárdenass Huaman, Gabriela; Morocho Romero, Henry Hoseph; Casas Niño, Sebastian; Vilchez Navarro, Sandy Graciela; Velarde Apaza, Leslie Diana; Ramirez Rojas, Max; Cruz Luis, Juancarlos Alejandro; Lozano Isla, Flavio; Morocho Romero, Henry
Potato (Solanum tuberosum L.) is the third most important food crop worldwide and a cornerstone of food security across the Andean region. However, its production is increasingly threatened by the potato psyllid Bactericera cockerelli (Šulc), the vector of Candidatus Liberibacter solanacearum, the causal agent of the purple-top complex associated with zebra chip disease, which severely reduces both tuber yield and quality. This study was conducted from September 2024 to February 2025 in the province of Huancabamba, Peru, to evaluate the efficacy of biological and chemical control agents against B. cockerelli under field conditions. A randomized complete block design was implemented with five treatments and four replicates, totaling 20 experimental units, each consisting of 20 potato plants (S. tuberosum L.), of which 10 plants were evaluated. Treatments included an untreated control (T0), a chemical control (thiamethoxam + lambda-cyhalothrin, abamectin, and imidacloprid) (T1), and three biological control agents: Beauveria bassiana CCB LE-265 (>1.5 × 10¹⁰ conidia g⁻¹) (T2), Paecilomyces lilacinus strain 251 (1.0 × 10¹⁰ conidia g⁻¹) (T3), and Metarhizium anisopliae (1.0 × 10¹⁰ conidia g⁻¹) (T4). Foliar applications targeted eggs, nymphs, and adults of the psyllid. Results indicated that B. cockerelli mortality across developmental stages was lower under biological treatments compared with T1, which achieved the lowest probability of purple-top symptom expression (46%) and a zebra chip incidence of 60.60%. Among the biological agents, M. anisopliae (T4) reduced incidence to 56.60%, while P. lilacinus (T3) demonstrated consistent suppression of nymphal populations. In terms of yield, T1 achieved the highest tuber weight (198.86 g plant⁻¹) and number of tubers (7.74 plant⁻¹), followed by T3 (5.08) and T4 (4.24). Nevertheless, all treatments exhibited low yields and small tuber sizes, likely due to unfavorable environmental conditions and the presence of the invasive pest. Overall, chemical control was more effective than biological agents; however, the latter showed considerable potential for integration into sustainable pest management programs. Importantly, vector suppression alone does not guarantee the absence of purple-top complex symptoms or zebra chip disease in potato tubers.
Endozoochory by Goats and White-Tailed Deer: Type of Ruminant Affect Recovery and Germination of Neltuma pallida Seeds
(Preprints.org / MDPI, 2025-11-25) Salinas Marcos, Jorge; Cruz Luis, Juancarlos Alejandro; Aguirre, Lucrecia
The "algarrobo", Neltuma pallida is a key tree species in the seasonally dry tropical forests in Equatorial Pacific South America, currently at risk. Its regeneration depends on endozoochorous seed dispersal, in which seeds are ingested and later defecated by animals, helping to release and scarify them. This study compared the role of the native white-tailed deer (Odocoileus virginianus) and the introduced goat (Capra hircus) in seed dispersal. Seeds were recovered from the dung of both species after experimental feeding and from free-ranging goats grazing in fruiting N. pallida forests. Seed recovery was higher in deer dung (9.4%) than in goat dung (3.1%). Retention time was also shorter in deer (peak at 48 hours) than in goats (peak at 84 hours). Only deer scarification significantly improved germination percentage (Tukey test, p < 0.001) and germination speed (T25 = 8.98 days). Goats reduced germination speed under experimental conditions (T25 = 19.25 days), but slightly improved it under forest conditions (T25 = 12.81 days). These differences are attributed to the morphophysiological traits of each species. Although goats did not enhance overall germination, they maintained it at ~44% and contributed to seed dispersal and dormancy release.
Estimation of aboveground biomass and carbon sequestration in a cocoa agroforestry system using UAV-LiDAR in northwestern Peru
(Elsevier B.V., 2025-10-08) Atalaya Marin, Nilton; Sanchez Fuentes, Teiser; Goñas Goñas, Malluri; Tineo Flores, Daniel; Taboada Mitma, Víctor Hugo; Cabrera Hoyos, Héctor Antonio; Cruz Luis, Juancarlos Alejandro; Ganoza Roncal, Jorge Juan; Gómez Fernández, Darwin
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, respectively. The evaluated plot, located at the Yanayacu Experimental Center (Jaén, Peru) and covering an area of 0.58 ha, had stored 15,492.5 kg of aboveground biomass and 7746.25 kg of aboveground carbon, with Mangifera indica and Cocos nucifera contributing more than 80 %. Consequently, this approach demonstrates the potential of UAV-based LiDAR to generate accurate and detailed information on system structure, enabling optimized management of high-biomass species and the development of more efficient and sustainable management strategies.
Estudio comparativo de la densidad de siembra y su efecto sobre la producción de forraje y calidad nutricional de pastos perennes asociados, en condiciones alto andinas del Perú
(Universidad Nacional de Ucayali, 2021-06-30) Arias Arredondo, Alberto Gilmer; Pantoja Aliaga, César Enrique; Cruz Luis, Juancarlos Alejandro; Atanacio Carvajal, Alfonso; Candela Barra, Christian Miguel; López Rodríguez, Melina
El estudio se llevó a cabo en la en la sierra central del Perú a 3 900 m.s.n.m, en el centro experimental de Casaracra de la Universidad Nacional Daniel Alcides Carrión, donde el objetivo fue la de determinar y analizar el rendimiento forrajero y la calidad nutricional de los pastos asociadas en distintas densidades de siembra. En la producción forrajera se determinó los valores de materia verde y materia seca y el porcentaje de materia seca; en la calidad nutricional se analizó las variables nutricionales %PT, %FDN, %FDA, %Ca y %P. se utilizó un diseño completamente al azar. Los resultados para rendimiento forrajero para el tratamiento 1 en MV fue 3.54 kg/m2 y MS 0.68 kg/m2, en el tratamiento 2 en MV fue 2.61 kg/m2 y MS 0.72 kg/m2, para el tratamiento 3 en MV fue 3.07 kg/m2 y MS 0.98 kg/m2 y finalmente en el tratamiento 4 la MV fue 2.48 kg/m2 y MS 0.93 kg/m2. La calidad nutricional para los tratamientos1, 2, 3 y 4 en %PT (15.56, 15.21, 6.81 y 5.37), %FDN (48.85, 43.82, 43.34 y 41.89), %FDA (28.82, 26.31, 27.27 y 24.43), %Ca (0.86, 0.80, 0.33 y 0.17), %P (0.25, 0.24, 0.18 y 0.07) respectivamente. Donde se concluye que el tratamiento 4 mostro contenidos aceptables de fibras en la alimentación de ovinos.
Estudio comparativo de la producción de forraje y calidad nutricional de variedades de cultivo de alfalfa (Medicago sativa), en la puna húmeda y seca del Perú
(Universidad Nacional de Asunción, Facultad de Ciencias Veterinarias, Departamento de Investigación Científica y TecnológicaAlberto, A. A.; Juancarlos, C. L.; Cesar, P. A.; Melina, L. R.; Walter, B. A.; & Enos, M. S. (2021). Estudio comparativo de la producción de forraje y calidad nutricional de variedades de cultivo de alfalfa (Medicago sativa), en la puna húmeda y seca del Perú. Compendio de Ciencias Veterinarias, 11(2), 7-12. doi: 10.18004/compend.cienc.vet.2021.11.02.7, 2021-12-30) Arias Arredondo, Alberto Gilmer; Cruz Luis, Juancarlos Alejandro; Pantoja A., Cesar; Lopez R., Melina; Bermúdez A., Walter; Morales S., Enos
El estudio se realizó en el centro experimental de Casaracra, a una altitud de 3 819 msnm, perteneciente a la Universidad Nacional Daniel Alcides Carrión. Se utilizaron tres tratamientos: alfalfa WL 350 (T1), alfalfa W 440 (T2) y alfalfa Brown 6 (T3). La producción forrajera se determinó en materia verde (MV), materia seca (MS) y el porcentaje de contenido de materia seca. En la calidad nutricional se analizaron cinco variables: proteína total, fibra detergente neutra, fibra detergente ácida, calcio y fósforo. Los datos obtenidos fueron analizados utilizando el diseño completamente al azar, así como la prueba de Tukey de significancia (p<0.05). Los resultados de producción forrajera en MV y MS no mostraron diferencias significativas (p<0.05) entre los tratamientos T2 y T3, así como en el porcentaje de materia seca entre los tratamientos T1 y T3. En la calidad nutricional, las variables proteína total, fibras y minerales no mostraron diferencias significativas (p<0.05) entre los tres tratamientos. Se concluye que los tratamientos T2 y T3 mostraron mejor producción de forraje verde y seco, siendo recomendables para sembrar en las zonas húmedas y secas de la puna del Perú. Por tanto, para la calidad nutricional, todos los tratamientos resultaron adecuados para la alimentación del ganado.
Evaluación de la calidad nutricional del heno de avena (Avena sativa), ensilado (Avena sativa asociada con Vicia sativa) y pasto natural en la cuenca Mantaro del Perú
(2024-04-01) Arias Arredondo, Alberto; Pantoja Aliaga, Cesar; Cruz Luis, Juancarlos Alejandro; Contreras Paco, Jose; Sanchez Villanueva, Humberto; Solórzano Acosta, Richard Andi; Lopez Rodriguez, Melina
Los pastos cultivados, así como los pastos naturales son importantes para el desarrollo de la ganadería en los andes del Perú, así como su conservación mediante el heno y ensilado. Sin embargo, en la práctica al ser el recurso alimenticio limitado se debe optar por todas estas opciones en la medida que se garantice el equilibrio de la dieta del animal, pero cada tipo tiene su propia calidad nutricional y esta información debe conocerse para planificar las acciones que maximicen la crianza. Por ello el objetivo de la investigación fue comparar la calidad nutricional del heno de avena, ensilado de avena asociada con vicia y pasto natural. En cuanto a la calidad nutricional, se evaluaron proteína total (PT), grasa (EE), fibra cruda (FC), ceniza (CZ), extracto libre de nitrógeno (ELN), calcio (Ca), fósforo (P), fibra detergente neutra (FDN) y ácida (FDA) y energía bruta (EB). Se utilizó el Diseño Completamente al Azar (DCA) para el análisis de varianza y para comparar las medias entre tratamientos la prueba de diferencia límite de significancia. Las medias de valores nutricionales en PT fueron de 6.26% en el ensilado respecto al heno y pasto natural. El pasto natural obtuvo un valor de 386.92 kcal /100 g MS en energía bruta у 22.24% en FC siendo superior al resto de tratamientos. La FDN y FDA, expresaron valores de 35.64% у 21.70% menores en el ensilado considerados óptimos. El Ca y P tuvieron variaciones de forma estadística y numérica que permite clasificar al ensilado, heno y pasto natural como alimentos de alta calidad nutricional para los rumiantes.