Examinando por Materia "Plant height"

Mostrando 1 - 3 de 3

Efecto de la altura de corte sobre los parámetros agronómicos de Tithonia diversifolia
(Universidad Nacional del Altiplano, 2023-04-30) Canto Saenz, Francys Mitchel; Ampuero Trigoso, Gustavo; Quispe Ccasa, Hurley Abel
Se evaluaron los parámetros agronómicos de Tithonia diversifolia por efecto de cuatro alturas de corte (AC) desde el suelo (AC1: 0 cm, AC2: 10 cm, AC3: 20 cm, AC4: 30cm), con cuatro replicas cada una, durante 55 días. Los brotes/macollo, hojas/brote y hojas/macollo fueron mayores (p<0.05) en AC1. Sin embargo, el número de hojas/mata y brotes/mata fueron mayores (p<0.05) en AC2, AC3 y AC4. El peso de forraje verde (FV)/macollo fue mayor (p<0.05) en AC1; aunque el peso de FV/mata fue mayor en AC2, AC3 y AC4, mostrando un mayor (p<0.05) rendimiento (kg/m2) en FV y materia seca para AC2, AC3 y AC4. El mayor número de hojas/brote (p<0.05) en AC2 que AC4 podría mejorar la productividad de T. diversifolia, sugiriendo a AC2 como adecuada AC.
Impact of liquid biofertilizer from cocoa shells on the growth and chlorophyll content of sweet peppers (Capsicum chinense L.) in San Martín, Peru
(Frontiers Media S.A., 2025-09-24) Solórzano Acosta, Richard Andi; Cruz Luis, Juancarlos Alejandro; Gaona Jimenez, Nery; Lozano , Andi; Díaz Chuquizuta, Henry; Vallejos Torres, Geomar; Siqueira Bahia, Rita de Cassia
The growth and yield of sweet peppers are constrained by factors such as fertilization practices and edaphoclimatic conditions, which ultimately threaten global food security in the context of an ever-growing population. This study evaluated the effect of a liquid biofertilizer derived from cocoa husks on the growth and chlorophyll content of sweet pepper (Capsicum chinense) cultivated in San Martín, Peru. The experiment was conducted at the experimental station of the National Institute of Agrarian Innovation in Tarapoto, San Martín, Peru (6°35′00″ S, 76°19′46″ W). A completely randomized design was applied, consisting of five treatments (0, 750, 1250, 2250, and 3000 mL) with 20 plants per treatment, totaling 100 experimental units. The biofertilizer was applied eight days after sowing (days). Plant height, stem diameter, and leaf chlorophyll content were measured at 15, 35, and 85 days. After 85 days, the highest plant height was observed with the 3000 mL and 1250 mL treatments, reaching averages of 29.98 and 28.25 cm, respectively. Stem diameter was maximized with 3000 mL (6.25 cm), whereas the highest chlorophyll content was recorded with 1250 mL, averaging 35.37 SPAD units. These results highlight the potential of liquid biofertilizers produced from cocoa shells to enhance nutrient uptake, increase plant biomass, and improve photosynthetic capacity, thereby contributing to sustainable sweet pepper production.
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.