Artículos científicos

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

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Carbon reserves in coffee agroforestry in the Peruvian Amazon
(Frontiers, 2024-12-11) Vallejos Torres, Geomar; Gaona Jimenez, Nery; Pichis García, Roger; Ordoñez, Luis; García Gonzales, Patricia; Quinteros , Aníbal; Lozano, Andi; Saavedra Ramírez, Jorge; Tuesta Hidalgo, Juan C; Reategui, Keneth; Macedo Cordova, Wilder; Baselly Villanueva, Juan Rodrigo; Marín, César
Secondary forests and coffee cultivation systems with shade trees might have great potential for carbon sequestration as a means of climate change adaptation and mitigation. This study aimed to measure carbon stocks in coffee plantations under different managements and secondary forest systems in the Peruvian Amazon rainforest (San Martín Region).
Descripción ósea y relación de la pelvimetría con la biometría corporal en alpacas (Vicugna pacos)
(Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos, 2024-10-31) Pacheco, Joel Ivan; Chacón, Yemíra; Zea, José; Calsin, Bilo; Mamani, Godofredo; Mamani Cato, Rubén Herberht
El objetivo del estudio fue describir la cintura pélvica, la pelvimetría y su relación con la biometría en alpacas. Para la descripción ósea se utilizaron cuatro piezas pélvicas de alpaca hembra. Además, se utilizaron a 72 hembras destinadas a faenamiento (subdivididas en tres grupos etarios de 4, 5 y 6 años) para tomar las medidas pelvimétricas internas (diámetro sacro-púbico, diámetro bis-iliaco superior, diámetro bis-iliaco inferior y diámetro bis-iliaco medial) y distancias pélvicas externas (distancia inter iliaca, distancia interisquiática y distancia ílio-isquiática); además, se tomaron tres medidas biométricas (altura a la cruz, largo del cuerpo y diámetro abdominal). La descripción ósea de las pelvis demuestra la presencia del hueso inter-isquiático, y el piso pélvico de forma ligeramente cóncava, lo cual incrementa el área pélvica. La pelvimetría interna demuestra la forma ovalada de la circunferencia pélvica, siendo más alta que ancha, de tipo dolicopélvica. Externamente, la pelvis presenta una forma cónica ubicada cráneo caudalmente. La correlación más alta se determinó entre la cavidad y el área pélvica, con un coeficiente de determinación de 82.92%.
Effectiveness of protected areas in containing the loss of Peruvian Amazonian forests
(Elsevier, 2025-01-11) Rojas Briceño, Nilton B.; Cajas Bravo, Verónica; Pasquel Cajas, Alexander; Guzman Valqui, Betty Karina; Silva López, Jhonsy O.; Veneros, Jaris; García, Ligia
Peruvian Amazonian Forests (PAF), vital for biodiversity, climate, and human well-being, lost 2.92M ha during 2001-2022, mainly due to anthropogenic activities. This prompted strategies to conserve and protect the PAF, such as land use and natural resource restrictions, with natural protected areas (NPAs) being the main strategy. This study evaluated the effectiveness of 41 NPAs in containing deforestation in the PAF by analyzing national spatial data. An Effectiveness Index (EI) was constructed by adding five standardized parameters: (1) the percentage of deforested area (DA%) and (2) its annual rate of change (DAr) between 2000 and 2022 inside each NPA, (3) the difference in DAr between NPAs and their surrounding areas, (4) their corresponding ecoregions, and (5) the entire PAF. In 2000, the DA% was 7.15% of the PAF, increasing to 10.88% in 2022. NPAs showed lower DAr than their surrounding areas and ecoregions, except for five NPAs. Of the 41 NPAs, nine were non-effective (EI≤3), 31 moderately effective (3
Low seed viability and germination in Polylepis flavipila hinder forest restoration: The role of seed mass and maternal effects
(Elsevier B.V., 2024-12-05) Huayta-Hinojosa, L. David; Quispe-Melgar, Harold Rusbelth; Lagones Poma, Katherine Lucero; Llacua-Tineo, Yashira Stefani; Ames-Martínez, Fressia Nathalie; Renison, Daniel
Seed physiological quality is usually determined by the interaction between genetics and the mother tree’s environment, as well as by intrinsic characteristics, such as seed mass. In the Andean highlands, massive sapling production for forest restoration projects is constrained by seed availability and quality. There, species of the genus Polylepis dominate the remnant forests. The associations of seed viability with seed mass and maternal effects were evaluated in P. flavipila, a threatened tree species endemic to the Peruvian Andes. The characteristics and environments of 18 mother trees from two sites were measured, and seed quality was assessed in three tests. Seed mass was 3.49 ± 1.76 mg (range: 0.5–16 mg) and showed the greatest variability within mother trees, followed by variability among trees and among sites. Viability rates, standard germination and greenhouse germination (2.06 ± 1.35 %, 0.59 ± 0.89 % and 0.64 ± 1.11 %; respectively) were low at both sites. These results were attributed to the presence of seeds with non-viable or absent embryos. Seed viability increased with seed mass and mother tree height, and was positively associated with number of seedlings (r = 0.56). The deficient seed viability and germination found in P. flavipila are the lowest reported for the genus. The low seed physiological quality detected is a risk factor that exacerbates the species’ degree of threat, posing a challenge for sapling production. The reported associations of P. flavipila seed viability with seed mass and maternal char acteristics and environment may guide the selection of better seed quality and serve as a basis for future studies on the challenges and limitations of the reproductive biology of this species
A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler
(2024-09-24) Tineo Flores, Daniel; Murillo, Yuriko S.; Marin, Mercedes; Gomez Fernandez, Darwin; Taboada, Víctor H.; Goñas Goñas, Malluri; Quiñonez Huatangari, Lenin
The expression of crop functional traits is influenced by environmental and management conditions, which in turn is reflected in genetic diversity. This study employed a data mining approach to determine the functional traits of flowers that influence cocoa diversity. A total of 1,140 flowers from 228 trees were utilized in this study, with 177 representing fine aroma cocoa trees and 51 trees belonging to other commercial cultivars. Three attribute evaluators (InfoGainAttributeEval, CorrelationAttributeEval and GainRatioAttributeEval), and six algorithms (Naive Bayes, Multinomial Logistic Regression, J48, Random Forest, LTM and Simple Logistic) were employed in this study. The findings indicated that the GainRatioAttributeEval attribute generator was the most efficacious in discerning the functional trait in cocoa diversity flowers. The algorithms Simple Logistic and LMT were the most accurate and specific, while Naive Bayes was the most efficient in terms of computational complexity for model building. This research provides a comprehensive overview of the use of machine learning to analyze functional traits of flowers that most influence cocoa genetic diversity. It also highlights the need to further improve these models by integrating additional techniques to increase their efficiency and extend the data mining approach to other agricultural sectors.
Aqueous-Medium Arsenic(V) Removal Using Iron Oxide-Coated Ignimbrite
(MDPI, 2024-12-28) Velarde Apaza, Lelie Diana; Chávez Collantes, Azucena; Solorzano Acosta, Richard; Cuevas Gimenez, Juan Pablo; Villanueva Salas, José Antonio
Arsenate As(V) is a toxic contaminant commonly found in aquifers and groundwater that poses significant risks to human health. The effective treatment of arseniccontaminated water is therefore crucial for safeguarding public health. This study investigates removing As(V) using iron oxide-coated ignimbrite in batch experiments by varying the adsorbent dosage, initial As(V) concentration, contact time, and system temperature. The adsorption experiments revealed that the Langmuir isotherm model better fit the data (R2 = 0.99) than the Freundlich model (R2 = 0.73). According to the Langmuir model, the maximum adsorption capacity of As(V) on the iron oxide-coated ignimbrite was 4.84 mg·g −1 ± 0.12 mg·g −1 of As(V), with a standard deviation of ±0.05 mg·g −1 after 2 h of exposure with 0.15 g/50 mL iron oxide-coated ignimbrite adsorbent concentration. In the kinetic analysis, the pseudo-first-order model best described the adsorption process at 283 K, 293 K, and 303 K, although the pseudo-second-order model also showed an adequate fit, particularly at 293 K. This indicates that, while the pseudo-first-order model is generally more suitable under these conditions, the pseudo-second-order model may also apply under certain circumstances. The results of the batch experiments demonstrate that iron oxide-coated ignimbrite is a promising adsorbent for effectively reducing high concentrations of As(V) in contaminated water
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.
Suitability of the Amazonas region for beekeeping and its future distribution under climate change scenarios
(Elsevier, 2025-02-17) Gómez Fernández, Darwin; García, Ligia; Silva López, Jhonsy O.; Veneros Guevara, Jaris; Arellanos Carrión, Erick; Salas Lopez, Rolando; Goñas Goñas, Malluri; Atalaya Marin, Nilton; Oliva Cruz, Manuel; Rojas Briceño, Nilton B.
Beekeeping plays an important role in global food production and the conservation of wild species. However, determining territorial suitability and future distribution under climate change scenarios is a relatively under-studied area in Peru. This study assessed the beekeeping suitability of the Amazonas region and its variation under climate change scenarios in two projected periods (2041-2060 and 2081-2100), according to Shared Socioeconomic Pathways (SSP). The methodological framework integrated the Analytical Hierarchy Process (AHP) with Geographic Information Systems (GIS), and the Hadley Centre Global Earth Model - Global Coupled configuration 3.1 (HadGEM3-GC31-LL) was used for future climate analysis. The beekeeping suitability of the region was determined based on eleven criteria: four climatic, three topographic, and four environmental. The results indicate that beekeeping suitability is distributed as follows: 3.4% (1417.90 km²) with 'High' suitability, 79.2% (33,318.61 km²) with 'Moderate' suitability, 17.2% (7230.26 km²) with 'Marginal' suitability, and 0.2% (83.64 km²) as 'Not suitable'. Moreover, the average temperature across the region is projected to increase by approximately 3 °C under the SSP2-4.5 scenario and between 6 °C and 8 °C under the SSP5-8.5 scenario during the projected periods. Precipitation will decrease in the northern part of the region, while the southwestern part will experience an increase. In the highly suitable beekeeping area, a temperature increases up to 10.8 °C is expected, with frequent variations around 3 °C to 8 °C, affecting more than 500 km². Additionally, a reduction in precipitation up to 311 mm/year is projected, with predominant variations ranging from -49.5 to 32.8 mm/year over approximately 600 km². Therefore, it is suggested to implement strategies to mitigate these upcoming challenges, particularly if the modeled economic development under the SSPs continues. This study modeled and mapped areas with present conditions suitable for beekeeping and future climate behavior. The modeling aims to guide beekeepers and local authorities in developing sustainable practices and implementing preventive measures to address future climatic challenges.
Diprosopus y otras malformaciones en bovino: Reporte de Caso
(División de Investigación, Facultad de Ciencias Veterinarias, Universidad del Zulia, 2025-01-31) Gaona Huamán, Edson; Cabrera Rojas, Ivy; Galvez Chuquilin, Anali; Portal Torres, Jorge; Cueva Rodríguez, Medali; Alvarado, Wigoberto; Quilcate Pairazamán, Carlos Enrique
Diprosopus is a congenital malformation result, also known as craniofacial duplication, which is widely recognized in humans and there are also reports in many animal species. The objective of this research is to learn about the clinical manifestations and post mortem findings in cattle diprosopus. Female cattle with incomplete cephalic facial cephalic duplication (diprosopus), product of the eighth gestation of a Creole cow with, from the village center of Quidén, district of Paccha, province of Chota, region of Cajamarca, Peru, with extensive production breeding system. The cattle presented two lower jaws with double oral and nasal cavity, two tongues and supernumerary teeth, the vault was double and single neck. It is confirmed that the case described is diprosopus in cattle.
Sustainability Potential of Kikuyu Grass (Pennisetum clandestinum) in Livestock Farming of Peru's Highland Regions
(MDPI, 2024-12-16) Alvarez García, Wuesley Yusmein; Díaz, Arturo; Becerra, Yessica; Vallejos Fernández, Luis A.; Florián Lescano, Roy Roger; Carrasco Chilón, William Leoncio; Cervantes Peralta, Marieta Eliana; Quilcate Pairazaman, Carlos; Muñoz Vilchez, Yudith
The productive sustainability of Pennisetum clandestinum in the Peruvian highlands was evaluated through productivity, growth and chemical composition. The effect of the nitrogen (N) rate, organic matter application, and cutting frequency on Kikuyu grass's yield, chemical composition, plant height, and growth rate was investigated. Experimentation followed a randomized block design with split plots. Multivariate analysis of variance (MANOVA) assessed differences across study factors. Applying 120 kg of N ha-1 yr-1 raised the protein yield to 3454.53 kg ha¯¹, with a crude protein (CP) content of 23.54%. Moreover, cypress (Cupressus lusitanica) trees influenced the Kikuyu biomass, producing 19,176.23 kg of dry matter (DM) ha-1 yr-1 at 8.5-11.5 m from the tree base. Organic matter enhanced Kikuyu aboveground biomass. While dry matter production showed no significant difference between 30- and 60-day cutting intervals, CP content was higher at 30 (p < 0.05). Peak daily dry matter (DM) production occurred at 45 days, achieving a biomass accumulation of 21,186.9 kg DM ha-1 yr-1. Given its high yield and favorable chemical composition, Kikuyu is a viable option for dairy cattle feed, especially in highland areas. Implementing a plant improvement program for Kikuyu could further enhance its nutritional value for high-production dairy cows.
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.
Use intensity of progesterone devices for fixed-time artificial insemination in gyr crossbred cows from the peruvian tropics
(Agricultural Research Communication Centre (ARCC), 2025-01-13) Poclín Rojas, Annie Yoselin; Segura, Gleni Tatiana; Bernilla Carrillo, Diana; Ampuero Trigoso, Gustavo; Quispe Ccasa, Hurley Abel; Vasquez Tarrillo, Ronald Will; Depaz Hino, Benjamin; Saucedo Uriarte, José Américo
Background: The implementation of routine fixed-time artificial insemination programs can generate significant waste and costs, which good management practices can help mitigate. The objective of the study was to assess the effects of second- and third-use progesterone devices on estrus characteristics and pregnancy rates in synchronized crossbred Gyr cows. Methods: Ten cows were synchronized with first-use Bovine Intravaginal Progesterone Devices (DIB), nine with second-use DIB and ten with third-use DIB. All cows were ≥90 days postpartum, had an average milk production of 6.9±1.9 L/day and were aged 4-10 years. Estrus signs were recorded at insemination and pregnancies were confirmed at 60 days by ultrasonography. Result: No significant associations were found between DIB use intensity and estrus detection patch response, mucus color, body condition score (CC), calvings, or breed purity (p>0.05). Body condition was associated with uterine turgor tone (p<0.05) and 100% of cows with CC 3.0 showed turgor tone 3. The highest pregnancy rate was found in second-use DIB (55.6%) and CC 2.8 (47.1%), though neither association was significant (p>0.05). DIBs may be used up to a second-use, as cervical mucosal stimulation and pregnancy rate remain unaffected.
Where are we with respect to research in support of sustainable development goal 13? bibliometric analysis
(International Information and Engineering Technology Association (IIETA), 2024-12-30) Fernandez Zarate, Franklin Hitler; Pérez Delgado, Luis; Coronel Bustamante, David; Huanca Silva, Leisy; Taboada Mitma, Victor H.; Quispe Carhuapoma, Mariela; Oliva Alvarez, Yashira; Huaccha Castillo, Annick Estefany; Seminario Cunya, Alejandro; Quiñones Huatangari, Lenin; Ocaña Zuñiga, Candy Lisbeth; Morales Rojas, Eli; Vaca Marquina, Segundo; Miguel Miguel, Hugo; Cruz Luis, Juancarlos Alejandro
Climate change is one of the main global challenges, addressed in the United Nations Sustainable Development Goal (SDG) 13, which seeks to "take urgent action to combat climate change and its impacts". The objective of the research was to analyze scientific articles that directly relate to SDG 13 through a bibliometric analysis for the period 2015 to 2024 of the Scopus database using the search term “SDG 13” OR “Sustainable Development Goal 13”. The research identified prolific authors, articles, sources with the highest impact in the area of study, leading institutions and countries in publications along with a detailed keyword analysis. The results show that interest in the study of SDG 13 has grown significantly with a focus on areas such as mitigation and adaptation, low carbon economy and public policy. This analysis provides an overview of advances in SDG 13 research, helps to identify knowledge gaps and emerging areas, and contributes to the formulation of effective policies and the drive for global climate action.
Insectos visitantes florales de Phytelephas macrocarpa (Arecaceae), una palma dioica al noroeste de la Amazonia peruana
(Asociación Española de Entomología, 2024-12-23) Ramírez Castillo, Sandro A.; Rodriguez del Castillo, Ángel Martín; Grandez Rios, Julio M.; Mejía, Kember; Wong Sato, Akira Armando; Rodríguez Cabrera, E. Hanz
Phytelephas macrocarpa is a dioecious palm that lacks studies on the entomofauna that visit its flowers in western Amazonia. In this study we identified the insect visitors and their interaction with the inflorescences of P. macrocarpa in two localities in northwestern Peruvian Amazonia. Additionally, the richness and abundance of these insects was determined. For this purpose, six inflorescences were collected per locality (three male and three female). During field trips, the interactions of the insects on the inflorescences were observed. A total of 28 106 insects distributed in 27 species were recorded, where Amazoncharis sp., Aleochara sp. and Anchylorhynchus
Morphological response of native maize (Zea mays L.) seedlings to contrasting nitrogen environments
(Universidad de Zulia, 2024-09-17) Reyes Matamoros, Jenaro; Mora Ramírez, Marco Antonio; Morales Manzo, Ivan Ilich; Valderrama Romero, Antonio Salomón
Nitrogen plays a vital role in plant metabolism, influencing growth and development, particularly in crops like maize (Zea mays L.). This study aimed to evaluate the morphological response of maize seedlings to different nitrogen levels. The design was a completely randomized factorial arrangement of 4 x 2, involving four maize cultivars and two nitrogen levels. The variety Sb 302 Berentsen and three native varieties originating from Tecamachalco, Puebla, Mexico were studied. For a period of 14, 21, 28 and 35 days, seedlings were grown in nutrient solution with 10% and 100% nitrogen levels under hydroponic conditions. The results revealed significant variability in seedling morphology, particularly in root architecture and dry weight, between the 10% and 100% nitrogen treatments. High coefficients of variation were observed in the lengths of crown and seminal roots, alongside significant correlations between root and seedling dry weights at both nitrogen levels. Additionally, a strong correlation was found between root length and number under the 10% nitrogen treatment. The results highlight the critical role of nitrogen in maize seedling development and the interaction between nitrogen concentration and maize variety, particularly in primary root length. The study improves understanding of nitrogen's role in optimizing maize growth and suggests strategies to enhance nitrogen use efficiency across different maize varieties.
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.

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