Artículos científicos

URI permanente para esta colecciónhttps://repositorio.inia.gob.pe/handle/20.500.12955/8

Examinar

Mostrando 1 - 20 de 713

Transformation of Terraces with Irrigation Systems: Profitability and Water Savings in Potato Crop (Solanum tuberosum L.)
(MDPI, 2025-02-25) Poma Chamana, Russell; Flores Marquez, Ricardo; Cordova Tadeo, Joel; Quello Huamaní, Antony Arturo; Arapa Quispe, José; Solórzano Acosta, Richard Andi
In recent decades, climate change has intensified the challenges in agriculture, increasing the incidence of water and heat stress during critical stages of the crop cycle. It includes the exacerbation of the seasonality of rainfall and temperature. This significantly affects their development and yield. In addition, climate change has reduced irrigation water availability, highlighting the need to evaluate joint strategies to increase water productivity. These strategies include the implementation of irrigation systems, the use of terraces, and the application of deficit irrigation (DI). In this context, the present research aims to evaluate the irrigation water productivity (WPirri) and the economic water productivity (EWP) of the combined use of DI through a pressurized irrigation system in terraces of the southern highlands of Peru for a potato crop. The treatments included L0: traditional surface irrigation with irrigation depth equivalent to 100% ETc, L1: drip irrigation with irrigation depth equivalent to 100% ETC, L2: drip irrigation with DI at 75% ETc, and L3: drip irrigation with DI at 50% ETc. The DI treatments (L2 and L3) were implemented by forming stolons (60 DAS). As a result, L2 allows saving irrigation water of 3930 m³ ha−1 compared to L0 and 1164 m³ ha¯¹ compared to L1. It means a WPirri of 6.15 ± 0.35 kg m−3 allowing a commercial yield (CY: 27.15 ± 1.47 t ha¯¹) statistically similar to L1 (WPirri: 5.45 ± 0.34 kg m−3; CY: 30.14 ± 1.83 t ha¯¹) and higher than the traditional surface irrigation (WPirri: 2.63 ± 0.23 kg·m−3; CY: 21.62 ± 1.99 t ha¯¹). This water saving meant a net income of 3097.04 ± 435.52 USD ha¯¹ for L2, close to L1 (4421.12 ± 724.24 USD ha¯¹), and much higher than L0 (1664.50 ± 834.24 USD ha¯¹). The results suggest that using drip irrigation systems in terraced crops optimizes water savings, maintains yields and profitability, and could promote the modernization of terraces in rural environments.
Synergy Between Microbial Inoculants and Mineral Fertilization to Enhance the Yield and Nutritional Quality of Maize on the Peruvian Coast
(MDPI, 2024-12-21) López Montañez, Ruth; Calero Rios, Emilee Nahomi; Quispe Matos , Kenyi Rolando; Huasasquiche Sarmiento, Lucero; Lastra Paucar, Sphyros Roomel; La Torre , Braulio; Solórzano Acosta, Richard Andi
Hard yellow maize is a crucial crop in Peruvian agriculture that plays a significant role in food security and livestock production. However, intensive fertilization practices in agronomic management have negatively impacted soil health. To explore more sustainable agricultural technologies, researchers investigated solutions using microorganisms to enhance plant growth. This study assessed the synergistic effects of microbial inoculants and mineral fertilization on INIA 619 and Dekal B-7088 maize varieties' yield and nutritional quality. A split-plot design was employed, incorporating four inoculation treatments—no inoculant, Bacillus subtilis, Trichoderma viride, and Pseudomonas putida—combined with fertilization levels of 0%, 50%, 75%, and 100%. The findings revealed that Bacillus subtilis boosted yields by 13.1% in INIA 619 and 55.5% in Dekal B-7088. Additionally, combined with 100% fertilization, microbial inoculation increased protein content by 47% and carbohydrates by 6% in INIA 619 while maintaining nutritional quality with 75% fertilization. Similarly, in Dekal B-7088, inoculation with total fertilization enhanced protein content by 54% and fiber by 27%. These results demonstrated that microbial inoculation could reduce mineral fertilization by up to 25% while sustaining high yields and improving the nutritional quality of maize.
Tillage Systems Modify the Soil Properties and Cassava Physiology During Drought
(MDPI, 2024-12-13) Ocaña Reyes, Jimmy Alcides; Paredes Espinoza, Richard; Quispe Tomas, Astrid; Díaz Chuquizuta, Henry; Ore Aquino, Zoila Luz; Agurto Piñarreta, Alex; Paz Monge, W. Michel; Lobato Galvez, Roiser Honorio; Ruiz Reyes, José G.; Zavala Solórzano, José W.; Huamani Yupanqui, Hugo Alfredo; Egoávil Jump, Gianfranco; Lao Olivares, Celia P.
Soils are highly sensitive to the type of tillage practices used, as these practices influence soil properties and affect crops, the environment, and society. However, research on cassava production under different tillage systems during drought conditions in the Peruvian Amazon has not been reported. The objective of this study was to compare soil properties, cassava physiology, and yield under conservation agriculture (CA) and traditional agriculture (TA) practices, with and without mulch, in a water-scarce environment. Soil moisture, earthworm population (Ew), stomatal conductance, leaf area index, and commercial yield under CA were 5.26% (~105.2 m³ ha⁻¹), 83%, 1.2 times, 1.14 times, and 7.3 t ha⁻¹, respectively, higher than under TA. Hydraulic conductivity (Ks) in TA was 2.1 times higher than that in CA. However, Ks, bulk density, and Ew over time showed a gradual recovery under CA. The mulch factor only affected Ew, which was higher without mulch than with mulch. The results indicate that CA practices were superior to TA practices, improving soil properties, cassava physiology, and yield, and, therefore, offer significant benefits in resource conservation and higher production and profitability in a drought-prone environment.
Current Progress in Microbial Biocontrol of Banana Fusarium Wilt: A Systematic Review
(MDPI, 2025-02-28) Solórzano Acosta, Richard Andi; Ramírez Maguiña, Héctor Andrés; Johnson Pozo, Luis Fernando; Ureta Sierra, Cledy; Cruz Luiz, Juancarlos Alejandro
Fusarium oxysporum f. sp. cubense (Foc) poses a significant threat to global banana production. This systematic review updates current knowledge on the efficacy of various antagonistic microorganisms in controlling Foc, considering the recent spread of this disease to new regions. The studies were systematically analyzed, focusing on methodologies, results, and conclusions to provide a comprehensive overview of current research and its practical implications. A total of 118 studies were reviewed, covering the use of antagonistic microorganisms such as Trichoderma spp., Bacillus spp., Streptomyces spp., and Pseudomonas spp., both in pure cultures and in consortia. Most studies focused on controlling Foc TR4 in Cavendish subgroup bananas and originated from Asia. Microbial consortia demonstrated a higher control percentage with lower variability, particularly in genera such as Pseudomonas. In contrast, pure cultures were more commonly used for Streptomyces. The choice between consortia and pure cultures depends on the genus and the experimental context, as each approach has distinct advantages. Although the reviewed studies were generally of high quality, long-term research is still lacking. Antagonistic microorganisms represent a promising alternative for Foc control, although their efficacy depends on the specific strain and environmental conditions. It has been observed that inoculating these microorganisms onto seedlings before transplantation or in combination with organic matter enhances their effectiveness. Localized testing and formulation optimization are recommended to improve their application as preventive and suppressive tools in soil against infections. The review highlights a vast diversity of microbial agents with high efficacy rates, various modes of action, and additional benefits for plant development beyond Foc biocontrol. Furthermore, some studies achieved 100% control at the plant level under controlled conditions. These findings demonstrate that biological control is a viable alternative for integrated Foc management. Future research should prioritize new approaches that facilitate the widespread adoption of these methodologies, including microbial formulation, field application, and integration with other control methods.
Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru
(MDPI, 2025-03-06) Enriquez Pinedo, Lucia Carolina; Ortega Quispe, Kevin Abner; Ccopi Trucios, Dennis; Rios Chavarria, Claudia Sofía; Urquizo Barrera, Julio; Patricio Rosales, Solanch Rosy; Alejandro Mendez, Lidiana Rene; Oliva Cruz, Manuel; Barboza Castillo, Elgar; Pizarro Carcausto , Samuel Edwin
Remote sensing is essential in precision agriculture as this approach provides high-resolution information on the soil's physical and chemical parameters for detailed decision making. Globally, technologies such as remote sensing and machine learning are increasingly being used to infer these parameters. This study evaluates soil fertility changes and compares them with previous fertilization inputs using high-resolution multispectral imagery and in situ measurements. A UAV-captured image was used to predict the spatial distribution of soil parameters, generating fourteen spectral indices and a digital surface model (DSM) from 103 soil plots across 49.83 hectares. Machine learning algorithms, including classification and regression trees (CART) and random forest (RF), modeled the soil parameters (N-ppm, P-ppm, K-ppm, OM%, and EC-mS/m). The RF model outperformed others, with R² values of 72% for N, 83% for P, 87% for K, 85% for OM, and 70% for EC in 2023. Significant spatiotemporal variations were observed between 2022 and 2023, including an increase in P (14.87 ppm) and a reduction in EC (-0.954 mS/m). High-resolution UAV imagery combined with machine learning proved highly effective for monitoring soil fertility. This approach, tailored to the Peruvian Andes, integrates spectral indices and field-collected data, offering innovative tools to optimize fertilization practices, address soil management challenges, and merge modern technology with traditional methods for sustainable agricultural practices.
Morphological and phaneroptic traits of Creole goats reared in an extensive system in the dry forest of Tumbes, Peru
(The Community of Indonesian Biodiversity Society, 2024-11-12) Temoche Socola, Victor Alexander; Godoy Padilla, David Jose; Trillo Zarate, Fritz Carlos; Ortiz Morera, Narda Cecilia; Cruz Luis, Juancarlos Alejandro
Mulch en la conservación del agua y rendimiento del frijol en una zona semiárida de Perú
(Universidad Nacional de Asunción, Facultad de Ciencias Agrarias. San Lorenzo, Paraguay., 2024-06-28) Solano Ramos, Rómulo Agustín; Tineo Bermúdez, Alex Lázaro; Sulca Castilla, Orlando Fidel; Carrillo Medina, Pelayo; Aronés Quispe, Raúl Javier; Villantoy Palomino, Abraham; Sánchez Campos, Yaquelin Alexis
Seedling Production of Retrophyllum rospigliosii in Nurseries and Potential Reforestation Areas Using Modeling Techniques
(MDPI, 2024-12-11) Camarena Yupanqui, Rozly Clarita; Orellana Mendoza, Edith; Bernaola Paucar, Rosario Marilu; Ames Martínez, Fressia Nathalie; Loardo Tovar, Harold; Quispe Melgar, Harold Rusbelth
The success of reforestation and restoration projects depends on several factors, with proper seedling management and the selection of an appropriate planting area being crucial. In Peru, the populations of Retrophyllum rospigliosii (Pilg.) C.N.Page (Ulcumano) have been decreasing due to intensive logging of one of the most valuable woods in South America's tropical forests. There are few studies that unify the production of plants through seeds in nurseries and the identification of suitable areas to place the plants produced. Our study has two components. The first aimed to optimize the plant production process through an experiment that evaluated the effects of three doses of controlled-release fertilizer (CRF) (4.2, 8.4, and 12.6 g/L) and two container sizes (115 and 180 cc) on the morphological quality of seedlings in the nursery. The second component involved identifying potential reforestation areas using ecological niche modeling, based on climatic and edaphic variables. The results indicated that the 4.2 g/L CRF treatment for both container sizes had a significant positive effect on seedling growth. The average germination rate was 85% at 120 days. At six months after seedling transplantation, treatments of 4.2 g/L CRF in 115 cc and 180 cc containers were shown to have the best positive effect on morphological variables of seedlings, with a root collar diameter of 3.76 mm and a height of 13.25 cm. Regarding the potential niche models, an area of 6321.97 km² with ideal conditions for reforestation with R. rospigliosii was estimated, with the departments of Huánuco, Pasco, Junín, and Cusco showing the highest potential. Based on this, it is estimated that over three million plants are needed for large-scale reforestation projects. Integrating silvicultural studies with niche models is a valuable tool for supporting reforestation and ecosystem restoration projects.
TOMOGRAFÍA ACÚSTICA, UNA TECNOLOGÍA PARA LA SELECCIÓN DE ÁRBOLES SEMILLEROS EN LA AMAZONÍA PERUANA
(Revista del Instituto de Investigaciones de la Amazonía Peruana, 2024-12-02) Baselly Villanueva, Juan Rodrigo; Fernández Sandoval , Ándres; Macedo Ramírez, Arturo Tomas; Salazar Hinostroza, Evelin Judith; Chumbimune Vivanco, Sheyla Yanett; Pérez Arirama, Jorge Enrique; Vallejos Torres, Geomar; Macedo Ladeira Carvalho, Ana Márcia
La forestación y reforestación ayudan a frenar la deforestación; pero las plantaciones en el Perú muestran baja productividad debido al uso de semillas de calidad genética deficiente. La selección en masa es la primera fase de los programas de mejoramiento, evaluando características dasométricas y morfométricas. Sin embargo, la evaluación de la sanidad interna se evalúa con técnicas poco precisas. El estudio tuvo por objetivo demostrar que la tomografía acústica es clave para seleccionar de árboles semilleros en la Amazonıá peruana. Se evaluaron las especies Anaueria brasiliensis, Aspidosperma parvifolium, Bertholletia excelsa, Cedrelinga cateniformis, Dipteryx micrantha, Nectandra cuspidata y Schefflera morototoni. Se utilizó el tomógrafo acústico para evaluar la sanidad, se analizóla incidencia por especie y el porcentaje de afectación mediante la prueba de Kruskal Wallis; y se evaluó la asociación de la sanidad con variables dasométricas. Anaueria brasiliensis presentó la mayor afectación (45,4%), mientras que Bertholletia excelsa y Cedrelinga cateniformis mostraron los menores porcentajes (0,9%). Existió diferencias significativas para el porcentaje de afectación de los árboles candidatos (p < 0,05) y presentaron fuertes asociaciones positivas con las variables dasométricas. Este estudio confirma que la tomografía acústica es fundamental en la selección de árboles semilleros en la amazonıá peruana.
Spatial Variability of Soil Acidity and Lime Requirements for Potato Cultivation in the Huánuco Highlands
(MDPI, 2024-12-13) Quispe Matos, Kenyi Rolando; Mejía, Sharon; Carbajal Llosa, Carlos Miguel; Alejandro Mendez, Lidiana Rene; Verástegui Martinez, Patricia; Solórzano Acosta, Richard Andi
Soil acidity is a major limiting factor for potato production in Peru's high Andean region. This study aims to predict the spatial variability of soil acidity as a fundamental tool for recommending site-specific liming treatments and to identify the physical-chemical characteristics most closely related to soil acidity. The soil samples were collected from five locations in the province of Pachitea, Huánuco. Descriptive statistics, principal component analysis (PCA), and Pearson correlation analysis were used to identify the soil properties contributing most to total variance and those most strongly correlated with soil acidity. The ordinary geostatistical kriging method evaluated the predictive accuracy for 23 soil properties and liming requirements over a 28,463 ha area, at a spatial resolution of 10 m. Results showed that the Plaza Punta and Buenos Aires locations had more degraded acidic soils, with frequencies between 55% and 100% above the general mean (30.94 ± 24.87%) and the critical threshold (25%) for potato cultivation. Variables such as exchangeable calcium percentage (ECP), Ca2+, Mg2+, sand content, and organic matter strongly correlated with soil acidity, while exchangeable H+ and ECP were the main contributors to the total variance. Geostatistical analysis revealed that Mg2+ and Ca2+ had the highest R² values (0.87 and 0.76, respectively), indicating a strong fit between observed and predicted values in the spatial analysis of soil acidity. It is concluded that the agricultural dolomite requirements in the localities of Plaza Punta and Buenos Aires exhibit high spatial predictability. Additionally, the analysis of diverse soil physicochemical properties is emphasized as critical for determining precise application rates.
Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR
(Elsevier B.V., 2024-12-22) Enriquez Pinedo, Lucía; Ortega Quispe, Kevin; Ccopi Trucios, Dennis; Urquizo Barrera, Julio; Rios Chavarría, Claudia; Pizarro Carcausto, Samuel; Matos Calderon, Diana; Patricio Rosales, Solanch; Rodríguez Cerrón, Mauro; Ore Aquino, Zoila; Paz Monge, Michel; Castañeda Tinco, Italo
The lack of precise methods for estimating forest biomass results in both economic losses and incorrect decisions in the management of forest plantations. In response to this issue, this study evaluated the effectiveness of using the DJI Zenmuse L1 LiDAR, mounted on a DJI Matrice 300 RTK UAV, to provide three-dimensional measurements of canopy structure and estimate the aboveground biomass of Eucalyptus globulus. Various LiDAR metrics were employed alongside field measurements to calibrate predictive models using multiple regression and machine learning algorithms. The results at the individual tree level show that RF is the most accurate model, with a coefficient of determination (R²) of 0.76 in the training set and 0.66 in the test set, outperforming Elastic Net (R² of 0.58 and 0.57, respectively). At the plot level, a multiple regression model achieved an R² of 0.647, highlighting LiDAR-derived metrics as key predictors. The findings revealed that the combination of LiDAR with advanced statistical techniques, such as multiple regression and Random Forest, significantly improves the accuracy of biomass estimation, surpassing traditional methods based on allometric equations. Therefore, the use of LiDAR in conjunction with machine learning represents an effective alternative for biomasss estimation, with great potential in such plantations and contribute to more sustainable exploitation of timber resources.
Plant-Growth-Promoting Microorganisms: Their Impact on Crop Quality and Yield, with a Focus on Rice
(MDPI, 2025-01-09) Ríos Ruiz, Winston Franz; Jave Concepción, Henry Giovani; Torres Chávez, Edson Esmith; Ríos Reategui, Franz; Padilla Santa Cruz, Euler; Guevara Pinedo, Nelson Elías
This article presents a systematic review of the ecophysiological mechanisms underpinning the essential role of plant-growth-promoting microorganisms (PGPMs) in improving rice yield and quality. The scientific literature is thoroughly reviewed, highlighting how PGPMs positively influence the growth, development, and health of rice plants. Key aspects, such as nitrogen fixation, nutrient solubilization, hormone production, and disease resistance induction, are emphasized. Additionally, technological advancements related to PGPM use are analyzed, including the identification of effective strains, the formulation of enhanced biofertilizers, and genetic engineering. The article concludes that PGPMs represent a promising tool with which to boost the sustainability and productivity of rice cultivation, providing a robust foundation for future research and practical applications in a field crucial to global food security.
Effect of Saponins from Chenopodium quinoa Willd. on Methane Production, Short Chain Fatty Acids and Digestibility in vitro Ruminal Fermentation
(2024-11-01) Alegría Arnedo, Maria Cecilia; Gomez Bravo, Carlos Alfredo; Quispe Jacobo, Fredy Enrique
The objective of this study was to assess the effects of saponins derived from Chenopodium quinoa by-products on methane (CH4) production in a ruminal fermentation system under in vitro conditions. Additionally, the study included the analysis of short-chain fatty acids (SCFAs) and true dry matter digestibility (TDMD). The saponin extracts obtained from three quinoa varieties were Altiplano (AS), Quillahuaman (QS), and Salcedo (SS), and were tested at six different doses (0, 0.2, 0.4, 0.6, 0.8, and 1.0mg/mL) each. Rumen fluid was obtained from two fistulated Junín breed sheep, with alfalfa hay (AH) and a 1:1 mixture of maize and bran (MB) was used as basal substrates. The data were processed in a completely randomized design and replicated three times. The CH4 per dry matter (mL/g DM), after 24h of incubation significantly decreased, acetate molar concentration decreased (p<0.05) with AS (3.6%) and QS (6.4%), propionate values increased (P<0.05) to 14.4% (AS), 15.7% (QS), and 15.5% (SS), the acetate-to-propionate ratio decreased (P<0.05) across all saponins treatments compared to the control and irrespective the substrates. The CH4 to TDMD ratio decreased (P<0.05) with all saponins. Methane inhibition (mL CH4/100mgTDMD) was higher by up 25.7% in the presence of AS, followed by QS at 18.7% and SS at 14.6%. The results indicate that saponins extracted from quinoa possess significant potential as feed additives for ruminants. Their application could contribute to the reduction of methane production, which would be advantageous for both livestock efficiency and environmental sustainability.
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; Solorzano 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.
Estimates of Soil Organic Carbon in the Ojos de Agua and El Quinillal Forests in the Central Huallaga of Peru.
(Wiley., 2024-10-05) Mendoza Lopez, Karla; Ordoñez Sanchez, Luis; Valdez Andia, Manuel Jesus; Lozano Chung, Andi; Garcia Gonzales, Patricia E.; Saavedra Ramirez, Jorge; Macedo Cordova, Wilder; Baselly-Villanueva, Juan Rodrigo; Reategui, Keneth; Gaona Jimenez, Nery; Vallejos Torres, Geomar
The Peruvian Amazon has experienced large losses of forest cover due to changes in land use, contributing to increases in CO2 in the atmosphere. This study estimated the organic carbon content of forest soil in two forests "Ojos de Agua" and "El Quinillal" in the Central Huallaga of Peru, establishing three types of cover: (i) primary, (ii) intervened, and (iii) deforested. For this purpose, 24 plots of 100 m² were established and samples were extracted at a depth of 0-20 cm. The effect of the type of forest cover on soil carbon (Organic Carbon-SOC, Inorganic Carbon-SIC, Saturated Carbon-SC, Critical Carbon-CC, Saturated Carbon Deficit-SCD, and Organic Carbon-OC) was analyzed by means of an Analysis of Variance, correlation. Likewise, the relationship between carbon (C) and soil properties was evaluated by principal component analysis and correlation network. The results indicated that the highest SOC averages were found in the primary forests of Ojos de Agua and El Quinillal with 3.54% and 2.51%. The lowest values were found in the deforested forests with 1.34% and 1.46%. The calculation of the saturated C levels of the soil showed an average of 28.63% ± 2.14% and the saturated carbon deficit of 26.63% ± 2.45%, whereas the critical threshold of C showed an average of 2.21% ± 0.18%. The highest SOC content found in the Ojos de Agua primary forest is due to the presence of dominant forest species such as Manilkara bidentata and Brosimum alicastrum. Likewise, the C deficit in the soils of the study area is very alarming because it is very close to saturation levels, especially in deforested forests.
Evaluation of the Flood Area in the Presence of Climate Change: Ravine La Ronda Case, Ricardo Palma, Peru
(Horizon Research Publishing, 2024-11-13) Perez Campomanes, Giovene; Perez Campomanes, Maria; Carbajal Llosa, Carlos Miguel
In the district of Ricardo Palma, human settlements are located near streams, which are seriously affected during the heavy flooding season (rainy season), which increases due to the presence of the El Niño Southern Oscillation (ENSO) and the global effect of climate change. To get to know the flood zone 09 de Octubre - La Ronda, Ricardo Palma, software was applied to obtain the area of influence to study, and to know 10.5 software was applied to obtain the area of influence to study, and to know the rainfall record of the National Water Service. Meteorology and Hydrology of Perú(SENAMHI) for a continuous period of 27 years of maximum daily rainfall, with the HEC HMS 4.9 software the maximum design flows for different return periods were obtained, and the HEC RAS 6.2 software to obtain the flooding area. To find out the support of the authorities in the presence of the Niño Southern Oscillation (ENSO), and the global effect of climate change, a survey was carried out among the population, obtaining that 14.43% had the appropriate conditions to mitigate the impacts of the flooding due to intense rains, 22.93% received help in the presence of the El Niño phenomenon, and for 20.75%, there was a response from their authorities to the needs of the population in the presence of an emergency, and no changes that benefit the population were distinguished. The maximum design flows were calculated for a return period of 10 and 100 years, which vary between 31.7 m³/s and 61.2 m³/s, and that for a design flow of 61.2 m³/s, the flooding area of 0.25 km² was obtained.
Forest land-use change affects soil organic carbon in tropical dry forests of the Peruvian Amazon
(CSIC (Consejo Superior de Investigaciones Científicas), 2024-10-22) Vallejos Torres, Geomar; Lozano Chung, Andi; Ordoñez Sanchez, Luis; Garcia Gonzales, Patricia; Gaona Jimenez, Nery; Mendoza Caballero, Wilfredo; Macedo Cordova, Wilder; Saavedra Ramirez , Jorge; Baselly Villanueva, Juan Rodrigo; Marin, Cesar
Aim of study: The loss of forest cover is a global problem that alters ecosystems, contributing to carbon emissions. This study measured the soil organic carbon (SOC) at different soil depth in tropical dry forests of the Huallaga Central in the Peruvian Amazon. Area of study: San Martín Region, Peruvian Amazon. Material and methods: A total of 24 plots of 100 m² were selected in primary (~200 years), intervened (~50 years since intervention), and deforested forests (10 years ago), with 120 soil samples collected across five depths. Soil texture (hydrometer), bulk density (cylinder method), SOC content, SOC density, and erodibility (K parameter) were calculated. Main results: SOC content in the 0-20 cm soil horizon was 79.5±21.3 t ha-¹ for the primary forest, 58.5±11.8 t ha-¹ for the intervened forest, and 41.8±10 t ha-¹ for the deforested forest. A soil erodibility K of 0.065 was observed for primary forests and 0.076 and 0.093 for intervened and deforested forests. In average, the SOC density obtained in this study was 7.6±5.1 t ha-¹ in the primary forest, 6.2±3.6 t ha-¹ in the intervened forest, and 4.7±2.7 in the deforested forest. Research highlights: Primary forests had the highest SOC content and SOC density, followed by intervened and deforested forests, while the opposite pattern was found for soil erodibility. These patterns were especially marked in the first 40 cm of soil depth.
Habitat Suitability Distribution of Genus Gynoxys Cass. (Asteraceae): An Approach to Conservation and Ecological Restoration of the Andean Flora in Peru.
(MDPI, Basel, Switzerland., 2025-03-10) Coronel Castro, Elver; Meza Mori, Gerson; Pariente Mondragon, Eli; Haro, Nixon; Oliva Cruz, Manuel; Barboza , Elgar; Amasifuen Guerra, Carlos A.; Revilla Pantigoso, Italo; Tariq , Aqil; Guzman Valqui, Betty Karina
The study used species distribution models (MaxEnt) to analyze the ecological suitability of the genus Gynoxys in Peru. Bioclimatic, edaphic and topographic variables were integrated to predict areas with high development potential. Potential distribution maps were generated, and model validation showed outstanding performance (AUC > 0.9). The results indicated that variables such as minimum temperature in the warmest season and soil moisture are determinants in the distribution of the Discoide, Gynoxys and Praegynoxys clades. It is concluded that the conservation of the genus requires protection strategies to ensure the sustainability of these montane ecosystems.
INFLUENCIA DE LA GESTIÓN ADMINISTRATIVA SOBRE LA EJECUCIÓN PRESUPUESTAL DE PROYECTOS EN CAMÉLIDOS EN EL INSTITUTO NACIONAL DE INNOVACION AGRARIA INIA PUNO
(2024-05-01) Yucra Yucra, Yovana Bertha; Zeballos Cabana, Julio Cesar
El presente estudio influencia de la gestión administrativa sobre la ejecución presupuestal de proyectos en camélidos en INIA Puno, se realizó en seis proyectos de inversión pública, los objetivos fueron analizar la programación presupuestal y su incidencia en la ejecución presupuestal y determinar el nivel de eficacia de la ejecución presupuestal institucional respecto al PIM. La metodología usada fue la técnica de recolección de información (datos) directamente de los proyectos, el estudio fue descriptivo – explicativo, con diseño no experimental, para el análisis de datos se utilizó la estadística descriptiva (frecuencias y porcentajes). Los resultados obtenidos para programación e incidencia de la ejecución presupuestal fueron 75.78%, 71.05%, 87.72%, 91.43%, 83.81%, 75.59% para los PI_063, 067, 072, 074, 078 y 133 respectivamente, para nivel de eficacia de ejecución de gasto según rango de calificación del MEF fue 0.98, 0.86, 0.70 y 0.48 para los años 2016, 2017, 2018 y 2019 respectivamente. Se concluye que el nivel de eficacia para el periodo 2016 y 2017 fue muy bueno y regular respectivamente, para los periodos 2018 y 2019 fue deficiente
INIA 333 – CHUGAYNA new Potato Variety Resilient to Climate Change for the Family Farming System with Tolerance to Frost, Resistant to Late Blight and high Quality for Fresh Consumption
(Springer Nature, 2025-02-11) Cabrera Hoyos, Hector Antonio; Otiniano, Ronal; Pando Gomez, Rosemeri Veronica; Sanchez Garcia, Henry; Huamanchay Rodriguez, William; Perez, Juan M.; de Haan, Stef; Gastelo, Manuel
The new potato variety INIA 333–CHUGAYNA, is the result of the joint work of the NGO Asociación Pataz, INIA and the International Potato Center, it was generated through traditional breeding and the use of the participatory varietal selection methodology, as a variety resilient to climate change with frost tolerance, resistance to late blight, compared to the improved variety INIA 302-Amarilis and the native varieties, Huevo de Indio. This new variety is also resilient to climate change, tolerant to frost, with field resistance to late blight, high tuber yield, low glycoalkaloid content and high quality for fresh consumption, adapted up to 4000 m above sea level. It was released in 2023 and officially registered in the national registry of commercial varieties of Peru. The new variety INIA 333-CHUGAYNA requires minimal use of fungicides and has a high economic profitability that will improve the living standards of small and medium-sized farmers in Peru. It can also be used as a parent in breeding programs in other countries in development, to confront climate change, especially frost.

Examinar

Envíos recientes