Examinando por Autor "Segura Portocarrero, Gleni Tatiana"

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Efecto de dos temperaturas de dilución sobre la calidad de semen en ganado cebuino del Trópico Peruano
(Universidad Nacional del Nordeste, Facultad de Ciencias Veterinarias, 2023-06-05) Segura Portocarrero, Gleni Tatiana; Quispe Ccasa, Hurley Abel; Saucedo Uriarte, José Américo; Poclín Rojas, Annie Yoselin; Murga Valderrama, Nilton Luis; Cortez Polanco, Jenin Victor; Ampuero Trigoso, Gustavo
El toro es un factor de importancia genética y económica en un hato ganadero, ya que de este dependerán las próximas generaciones; por lo tanto, es esencial la evaluación de la calidad seminal y la criopreservación de su material genético. El objetivo del estudio fue evaluar el efecto de dos temperaturas de dilución sobre la calidad de semen de ganado cebuino del Trópico Peruano. Dos toros Gyr fueron colectados semanalmente mediante electroeyaculación. Las muestras se colocaron en baño maría a 34°C y se analizaron las características macroscópicas y microscópicas del semen. Solo los eyaculados con >60% de motilidad y <20% de anormalidades fueron procesados, separándolos en dos tratamientos. El T1 consistió en predilución 1:1 a 34°C, luego de 30 minutos una dilución final agregando el dilutor a 34°C. El T2 consistió en predilución 1:1 a 34°C y a los 30 minutos de estabilización se llevó a refrigeración conjuntamente con el dilutor, para luego realizar la dilución final a 5°C. La calidad seminal fue analizada luego de 16 horas de refrigeración. El porcentaje de vitalidad en T1 (80,89%) fue mayor que en T2 (71,22%) (p<0,05), la reacción positiva a la prueba hipoosmótica fue mayor en T1 (71,11%) que en T2 (60%) (p<0,05). La integridad acrosomal y los rasgos morfométricos no variaron según tratamientos. En conclusión, la dilución inicial y final a 34°C en toros Gyr influye positivamente sobre la calidad seminal antes de la congelación de pajillas de semen.
Influence of agroclimatic factors on the efficiency of multi-ovulation in cattle in the Peruvian tropics
(Frontiers Media S.A., 2025-04-01) Segura Portocarrero, Gleni Tatiana; Murga Valderrama, Nilton Luis; Lopez Lapa, Rainer Marco; Saucedo Uriarte, José Américo; Gongora Bardales, Deiner Jhonel; Frias Torres, Hugo; Poclín Rojas, Annie Yoselin; Depaz Hizo, Benjamin; Vasquez Tarrillo, Ronald Will; Heredia Vilchez, Lizeth Amparo; Ampuero Trigoso, Gustavo
Introduction: Agroclimatic conditions are key determinants in the development of animal production and reproduction, with specific breed differences in vulnerability to environmental stress. This research aims to determine the influence of agroclimatic factors on the efficiency of multi-ovulation in cattle in the Peruvian tropics. Methods: The study was conducted at the “El Porvenir” Agricultural Experimental Station (EEA) of the National Institute of Agricultural Innovation (INIA), located in the district of Juan Guerra, province and department of San Martín, Peru. Throughout a year, four collections of structures were made from 12 Bos indicus donor cows from the genetic nucleus of the PROMEG Tropical project every 2 months under intensive breeding conditions. The cows were classified according to their production: milk (five individuals of the Gyr breed and two of the Guzerat breed) and meat (two individuals of the Nelore breed and three of the Brahman breed), with ages of 3 and 4 years, selected based on specific criteria: regular estrous cycles, no deformities or reproductive problems, and certified pedigree registration. During each collection protocol, the number of viable structures (blastocysts and morulas), non-viable structures (unfertilized oocytes-UFO and degenerated), and agroclimatic factors [temperature (°C), relative humidity (%), precipitation (mm), wind speed (m/s), and the Temperature-Humidity Index (THI)] were evaluated at three times (6 a.m., 1 p.m., and 6 p.m.). A longitudinal experimental design was used for the analysis. Statistical tests were applied, including ANOVA and post-hoc tests (Tukey's Test), to assess the significance of differences between variables, such as the humidity index and temperature in relation to the production of viable structures and non-viable structures. Data visualization was achieved using R Studio libraries, including ggplot2, factoextra, and FactoMineR. Results: The analyses highlight the influence of the interaction between humidity and temperature, resulting in THI on bovine stress, revealing complex interactions that primarily affect embryo production. Stress peaks, especially under adverse conditions, were observed to significantly impact animal health. Discussion: This response to stress can affect both overall well-being and productive performance. Additionally, it should be noted that this impact varies according to the adaptability and resilience of the breed. Therefore, it is suggested to continue this study, as the literature on this topic is limited, and to conduct further research to optimize the well-being and productivity of livestock.
Mathematical modeling of the germination and growth of Leucaena leucocephala under different substrates and nursery conditions
(Polish Society of Agricultural Engineering, 2026-05-28) Sauceo Uriarte, José Américo; Milla Pino, Manuel Emilio; Quispe Ccasa, Hurley Abel; Segura Portocarrero, Gleni Tatiana; Vásquez Pérez, Héctor Vladimir; Gongora Bardales, Deiner Jhonel; Maicelo Quintana, Jorge Luis
Livestock production in tropical regions is predominantly extensive and relies heavily on native or monoculture pastures, which often prove insufficient for ruminant nutrition. The incorporation of Leucaena leucocephala into silvopastoral systems represents a promising strategy due to its high forage quality; however, information on its early establishment under nursery conditions remains limited. This study aimed to model the germination dynamics and early seedling growth of L. leucocephala under different substrate compositions during the nursery phase. Germination percentage and daily plant height were recorded over a 30-day period. Treatment effects were evaluated using analysis of variance (ANOVA) and growth dynamics were described using non-linear sigmoidal models (Gompertz, Logistic, von Bertalanffy, and Brody). Significant differences in germination rate among substrates were detected (p<0.05), whereas no significant effect of substrate on plant height was observed during the evaluation period (p>0.05). Among the evaluated models, von Bertalanffy, Gompertz, and Logistic functions provided the best fit for plant height based on R² and AIC criteria. Although some models showed high R² values for germination, elevated AIC values suggest limited biological adequacy. These findings highlight the usefulness of predictive modeling to support nursery management decisions, optimize substrate selection, and facilitate the establishment of L. leucocephala in sustainable silvopastoral systems.
Motility performance of thawed spermatozoa of bulls from the tropics throughout the year
(Animals, 2025-08-21) Poclín Rojas, Annie Yoselin; Arbaiza Barnechea, Martín Daniel; Segura Portocarrero, Gleni Tatiana; Ampuero Trigoso, Gustavo; Bernilla Carrillo, Diana; Depaz Hizo, Benjamín Alberto; Vásquez Tarrillo, Ronald Will; Diaz Quevedo, Clavel; Quispe Ccasa, Hurley Abel
Under tropical conditions, seasonal variations may also influence the sperm characteristics of Bos indicus. The objective was to evaluate the motility of thawed sperm of bulls from the Peruvian tropics throughout the year. Over 24 months, 129 ejaculates were evaluated based on semen quality and subjected to slow horizontal freezing in 0.5 mL straws. After thawing, the individual, seasonal period, and season effect on motility and kinetic parameters were analyzed using a Sperm Class Analyzer® (Microptic S.L.U., Barcelona, Spain). There was an individual effect on volume, motility, fresh concentration, and kinetic parameters when thawed. In the dry period, higher straight-line velocity (VSL) (p < 0.05) and beat cross frequency (BCF) were found than in the rainy period (p < 0.01). In summer and autumn, there was greater total motility, fast, circular routes, curvilinear velocity, average path velocity, VSL, amplitude of lateral displacement of the head, and BCF (p < 0.01). Greater volume and motility were found in winter and spring, but in summer and autumn, greater speed and vigor of movement were obtained in thawed sperm. The variation in annual climate patterns influences the seminal quality of bulls, and its effect needs to be assessed to propose adaptation strategies to climate change in tropical areas.
Sustainability of livestock farms: The case of the district of Moyobamba, Peru
(Elsevier, 2023-01-21) Durand Chávez, Luz Marlene; Quispe Ccasa, Hurley Abel; Linares Rivera, Jaime Lizardo; Segura Portocarrero, Gleni Tatiana; Calderón Tito, René; Vásquez Pérez, Héctor Vladimir; Maicelo Quintana, Jorge Luis; Ampuero Trigoso, Gustavo; Robles Rodríguez, Rafael René; Saucedo Uriarte, José Américo
The Peruvian Amazon is a geographical area with great biodiversity, where the main economic activities are agricultural crops and grazing animals. The evaluation of sustainability in production systems is based on the analysis of economic, environmental and social components, which are variable between production units or livestock farms. The classification of livestock farms based on their characteristics of similarity and differences can contribute to the most appropriate assessment of their level of sustainability. The objective of this research was to determine the level of sustainability of livestock farms in the district of Moyobamba, San Martín, Peru, based on environmental, economic and social criteria. The research was carried out from November 2018 to February 2019 with a survey of a sample of 60 livestock farms out of a population of 2220. A survey-type form and data collection in the field were applied, adapting a methodology that proposes inferring on 33 indicators grouped into six criteria: three environmental criteria (soil quality, pasture health and animal quality), two economic criteria (farm system and farm economy), and a social criterion of the farm. A scale from 1 to 10 was used to assess the condition of each indicator. The typification of farms was carried out through a Conglomerate Analysis. To analyze the level of sustainability, Amoeba graphs were constructed for each defined farm group. Qualitative variables were analyzed with contingency tables and quantitative variables using the T test (p < 0.05). Three types of livestock farms were identified, differentiated by level of education, farm size, years in cattle raising and number of cattle heads (p < 0.05), where Group 1 is less experienced, Group 1 has more area and cattle, and Group 3 only have older years in livestock. There were significant differences between the evaluated criteria and the sustainability index. From the typification of livestock farms, Group 2 (13 farms) presented a higher level of sustainability as did Group 3 (16 farms), while Group 1 (31 farms).