Artículos científicos

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

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Especies del género Abuta (Anomospermeae, Menispermaceae) del Perú
(Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Biológicas, 2025-03-15) Ortiz, Rosa del C.; Zañartu Flores, Ricardo A.; Rodríguez del Castillo, Ángel M.; Amasifuen Guerra, Carlos Alberto
El género Abuta constituye el segundo taxón más diverso dentro de las Menispermaceae neotropicales. La presente investigación documenta las 12 especies registradas en territorio peruano, proporcionando una caracterización morfológica detallada de cada taxón, sintetizada en una clave dicotómica para su identificación. Se presenta documentación fotográfica de especímenes, tanto in situ como preservados en herbario, para todas las especies excepto A. aristeguietae. Adicionalmente, se analiza la distribución geográfica de cada especie, tanto a nivel nacional como global. Es importante señalar que la limitada disponibilidad de especímenes fértiles, frecuentemente restringidos a un solo sexo (ya sea ejemplares estaminados o pistilados), ha representado un desafío significativo para el análisis comparativo interespecífico. Abuta grandifolia destaca como la especie de mayor distribución y frecuencia de colecta; sin embargo, investigaciones recientes sugieren que este taxón comprende un complejo de entidades cuyas delimitaciones taxonómicas requieren mayor estudio.
Gastrointestinal parasites in free grazing goats from Ayacucho, Peru: prevalence and risk factors associated with infection in herds
(Springer Science and Business Media B.V., 2024-10-29) Palomino Guerrera, Walter; Ramos Huaman, Michael; Flores Prado, Vania; Godoy Padilla, David; Zárate Rendón, Daniel
This study assessed the prevalence and risk factors associated with gastrointestinal parasite infection in goats in Ayacucho, Peru. Fecal samples were collected from a total of 254 goats from four districts of Ayacucho: Ocaña (89), Colca (76), Pacaicasa (64), and Luricocha (25) during the dry season; recording the location, sex, and age of the animals. The fecal samples were analyzed using the flotation technique in salt and sugar solution, and modified McMaster egg counting techniques for eggs/oocysts (epg/opg) of gastrointestinal parasites. The associations between location, sex, and age with the prevalence of gastrointestinal parasites were analyzed using the chi-square test. Fecal samples showed an overall parasite prevalence of 87.80%. The identified parasites were Eimeria spp. (86.22%), Strongyle type eggs (STE) (65.75%), Skrjabinema spp. (7.87%), Trichuris spp. (3.15%) and Moniezia spp. (3.15%). There was a significant association between the location and the presence of parasites (p<0.05); where STE was more prevalent in the district of Colca (98.68%); Trichuris spp. in Pacaycasa (9.38%); Skrjabinema spp. (48.00%), Moniezia spp. (12.00%) and Eimeria spp. (100%) were more prevalent in Luricocha. Sex had a significant association with the prevalence of Eimeria spp., Skrjabinema spp. and Moniezia spp. (p<0.05); while age had a significant association with parasitosis only for Trichuris spp. and Moniezia spp. (p<0.05). The epg/opg values revealed a higher parasite burden in goats from Colca compared to the other locations (p<0.05). There was also no statistical relationship between fecal egg/oocyst counts and sex or age, nevertheless, there were moderate and high parasitic burdens. The high prevalence of parasites such as nematodes, cestodes, and coccidia suggests the need to implement strategic control and prevention programs in free-grazing goats. Location and sex were the most relevant risk factors for parasitosis in Ayacucho, Peru.
Identification of the optimal substrate for sexual propagation of Cinchona officinalis l.: Implications for conservation and sustainable use
(Springer, 2025-03-19) Marcelo Bazán, Fátima Elizabeth; Mantilla Chávez, Walter; Paredes Pajares, Katia Patricia; Chávez Cercado, Deisy Medaly; Baselly Villanueva, Juan Rodrigo; Álvarez Álvarez, Pedro
Cinchona officinalis L., a tree species of medicinal, ecological and economic importance, inhabits one of the richest and most fragile ecosystems in the world (montane forests) where it contributes to water and climate regulation, erosion control and carbon sequestration. However, the species is subject to strong anthropogenic pressure and is currently endangered. Unfortunately, little is known about propagation and repopulation techniques or the substrate preferences of the species. We designed a randomised trial with four replications in which 12 trial substrates (peat mixed with sand, moss or pine sawdust and supplemented with chicken manure, guano, compost or agricultural soil) were evaluated to identify the optimal substrate for the sexual propagation of Cinchona officinalis seedlings. The physical and chemical properties of the substrates were analysed, and the impact of these on the emergence, biometry and quality of seedlings were evaluated. Statistical analysis was performed using Scott-Knott and Kruskal-Wallis tests (p<0.05), principal component analysis, heatmap analysis and correlation analysis. The substrate composed of peat, moss and agricultural soil (ratio, 2:2:0.5) was found to be optimal, consistently producing the highest emergence rates and superior biometrics and quality indices. These findings represent a remarkable advance in the propagation of C. officinalis and provide valuable insights enabling the vulnerability of this species to be addressed in ecosystems subject to anthropogenic pressures, thus ensuring the conservation and sustainable use of the species.
Palatosquisis en un ternero raza Holstein. Caso clínico
(División de Investigación, Facultad de Ciencias Veterinarias, Universidad del Zulia, 2024-11-03) Centellas Jáuregui, Rosita Valeria; Portal Torres, Jorge; Cueva Rodríguez, Medali; Alvarado , Wigoberto; Quilcate Pairazamán, Carlos Enrique
Palatoschisis is a hereditary teratoma that occurs in cattle, it is a hereditary anomaly that affects the oral cavity due to a bad closure during embryonic development, this malformation can have a negative impact on the animal, affecting its feeding and generating problems such as regurgitation and rhinitis. We report the case of a 2-month-old female bovine that presented a malformation specifically in the hard palate. It was observed that the calf presented palatoschisis, showed difficulty in feeding, as well as rhinitis, symptoms derived from the described anomaly.
Modeling growth curve parameters in Peruvian llamas using a Bayesian approach
(Elsevier, 2025-03-20) Canaza Cayo, Ali William; Mamani Cato, Rubén Herberth; Churata Huacani, Roxana; Rodríguez Huanca, Francisco Halley; Calsin Cari, Maribel; Huacani Pacori, Ferdeynand Marcos; Cardenas Minaya, Oscar Efrain; de Sousa Bueno Filho, Júlio Sílvio
The objective of this study was to fit four nonlinear models (Brody, von Bertalanffy, Gompertz and Logistic) to realizations of llama weight, using frequentist and Bayesian approaches. Animals from both sexes and types (K'ara and Ch'accu) were observed. Data consisted of 43,332 monthly body weight records, taken from birth to 12 months of age from 3611 llamas, collected from 1998 to 2017 in the Quimsachata Experimental Station of the Instituto Nacional de Innovación Agraria (INIA) in Peru. Parameters for Non-linear models for growth curves were estimated by frequentist and Bayesian procedures. The MCMC method using the Metropolis-Hastings algorithm with noninformative prior distributions was applied in the Bayesian approach. All non-linear functions closely fitted actual body weight measurements, while the Brody function provided the best fit in both frequentist and Bayesian approaches in describing the growth data of llamas. The analysis revealed that female llamas reached higher asymptotic weights than males, and K'ara-type llamas exhibited higher asymptotic weights compared to Ch'accu-type animals. The asymptotic body weight, estimated for all data using the Brody model, was 42 kg at 12 months of age in llamas from Peru. The results of this research highlight the potential of applying nonlinear functions to model the weight-age relationship in llamas using a Bayesian approach. However, limitations include the use of historical data, which may not fully represent current growth patterns, and the reliance on non-informative priors, which could be improved with prior knowledge. Future studies should refine these aspects.
Enteric methane emission factor for dairy farming in Peru
(MDPI, 2024-12-11) Fernandez, Melisa; Fuestes Navarro, Eduardo; Viera Valencia, Mario Agustín; Llacsa, Javier; Carrasco Chilón, William Leoncio; Altamirano, Wilman; Romero Delgado, Gelver; Ayala, Richard; Vela Alvarado, Jorge Washinton; Zegarra Paredes, Jorge Luis; Molina Botero, Isabel Cristina; Gómez, Carlos
The objective of this study was to determine the enteric methane (CH4) emission factor (EF) at the national level for Peruvian dairy cattle following the IPCC Tier II (2006, 2019) methodology. Data were collected from seven regions of Peru and classified according to the type of feeding as intensive, semi-intensive or extensive. It included farm information (geolocation) and livestock information for two seasons of the year. At the national level, lactating cows obtained the highest EF with 117 kg CH4/head/year, followed by heifers from 15 to 24 months of age (91 kg), non-lactating cows (74 kg), heifers from 12 to 15 months of age (67 kg), calves (62 kg) and pre-weaned calves (16 kg). Additionally, the highest EF was reported for lactating cows in the intensive system (151.8 kg CH4/head), which is 46.8 kg CH4/head more per year than that reported in the semi-intensive and extensive systems in the same animal category. The combined uncertainty in all animal categories was low to very low (between 9.4 and 18.72%), except for that of lactating cows, which was low to medium (22.24 and 26.72%). These results allowed us to find the EF that exerts the most pressure according to the level of intensity in Peruvian dairy farming.
Impact of production practices and sanitary management on the prevalence of Neospora caninum and bluetongue virus in Creole goats from the tropical dry forest of Utcubamba, Peru
(American Veterinary Medical Association, 2024-11-04) Tafur Gutierrez, Lucinda; Alva, Gudelio; Godoy Padilla, David J; Frias, Hugo; Arista, Miguel A; Bardales, William; Encina, Ricardo; Portocarrero, Segundo M; Saucedo, José A; Cruz Luis, Juancarlos Alejandro; Murga, Nilton L.
OBJECTIVE This study aimed to report the impact of production practices and sanitary management on the prevalence of Neospora caninum (N caninum) and bluetongue virus (BTV) in Creole goats from the tropical dry forest of Utcubamba, Peru. METHODS 354 blood samples were obtained from male and female goats of diverse ages reared under an extensive productive system. The diagnosis of N caninum and BTV was conducted through a commercial ELISA kit (iD.vet) with readings taken on a Bio-Rad iMark microplate reader at 450 nm. Additionally, a survey was conducted with 18 goat producers to categorize them based on social, technical (production, health, reproduction, nutrition, and infrastructure), environmental, and economic factors. RESULTS The overall seroprevalence of N caninum and BTV in goats was 6.21% and 7.06%, respectively, Notably, group II farmers had the highest prevalence rates at 7.69% for N caninum and 23.08% for BTV. This group comprises producers with fewer than 21 goats, while group III includes 14.3% of producers with over 60 goats and better infrastructure. CONCLUSIONS This study confirms the presence of N caninum and BTV in goats of Utcubamba, Peru. Group II displayed the highest prevalence rates, suggesting that herd size and management infrastructure influence disease prevalence. CLINICAL RELEVANCE In the tropical dry forest of Utcubamba, inadequate management of N caninum carrier agents (eg, nondewormed dogs) heightens transmission risk, while the tropical climate supports BTV vectors. Effective diagnosis and health management strategies, including vector control and biosecurity practices, are crucial for ongoing herd health monitoring
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.

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