Examinando por Autor "Cubas Sanchez, Jefferson Anthony"

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Influence of root inducers and substrates on the vegetative propagation of pitahaya species (Hylocereus spp.) under nursery conditions
(Springer Nature, 2026-07-01) Chuquibala Checan, Beimer; Cruz Malca, Jonathan Michael; Cubas Sanchez, Jefferson Anthony; Arce Inga, Marielita; Taboada Mitma, Víctor Hugo; Gómez Fernández, Darwin; Tafur Culqui, Josué, Josué; Goñas Goñas, Malluri; Tineo Flores, Daniel
Pitahaya (Hylocereus spp.) is an emerging crop for tropical regions; however, its vegetative propagation is strongly influenced by environmental and management factors. Optimizing rooting and establishment under nursery conditions is essential to produce uniform and vigorous seedlings. This study evaluated the effects of root inducers and substrates on the vegetative propagation of three Hylocereus species under nursery conditions. A completely randomized design (CRD) with a 2×2×3 factorial arrangement was implemented, including two root inducers (NAA + IBA solution and seaweed extract), two substrates (substrate 1 and substrate 2), and three species (H. undatus, H. megalanthus, and H. costaricensis), resulting in 12 treatments with four replicates each. Seven variables were assessed: shoot emission time (SET), cutting viability (CV), number of shoots (NS), shoot length (SL), number of roots (NR), root length (RL), and vegetative vigor index (VVI). ANOVA revealed significant effects (p ≤ 0.05) in the three-factor interaction for SET, CV, NS, SL, RL, and VVI. Treatment T9 achieved the shortest SET (21.53 days) and highest CV (100%), T7 recorded the highest NS (1.62 shoots plant⁻¹), T3 showed greater SL (68.67 cm) and NR (5.30 roots plant⁻¹), and T12 obtained the highest RL (42.69 cm) and VVI (110.18). Effect size analysis based on partial eta squared (ηp²) identified species as the most influential factor, explaining 55–98% of the observed variance. Among the evaluated species, H. costaricensis showed the best overall performance. These findings demonstrate that combining H. costaricensis, substrate 1, and NAA + IBA enhances vegetative propagation efficiency. These findings provide valuable evidence for improving pitahaya propagation protocols and optimizing seedling production under nursery conditions.
Modeling the potential distribution of Musa (AAB), cv. 'Bellaco' and Carica papaya under climate change scenarios in the provinces of Jaén and San Ignacio
(Elsevier B.V., 2026-06-06) Cubas Sanchez, Jefferson Anthony; Chuquibala Checan, Beimer; Atalaya Marin, Nilton; Tineo Flores, Daniel; Taboada Mitma, Víctor Hugo; Cabrera Hoyos, Héctor Antonio; Cruz Luis, Juancarlos Alejandro; Goñas Goñas, Malluri; Gómez Fernández, Darwin
Plantain (Musa (AAB), cv. 'Bellaco') and papaya (Carica papaya) are key crops for the economy and food security in northwestern Peru; however, the lack of spatially explicit information on their current and future suitability limits agricultural planning and climate change adaptation. This study modeled the current and future potential distribution (2050 and 2070) of both crops in the provinces of Jaén and San Ignacio under the SSP1– 2.6, SSP2– 4.5, and SSP5– 8.5 scenarios, using 262 occurrence records for plantain and 125 for papaya, together with bioclimatic, edaphic, and topographic predictors standardized to a spatial resolution of 1 km. MaxEnt models calibrated with 25-fold cross-validation showed excellent performance (current AUC = 0.922–0.928; projected AUC = 0.957–0.965). The main predictors were elevation (58.97%), precipitation of the coldest quarter (Bio19, 13.39%), and silt content (7.55%) for plantain, and temperature seasonality (Bio4, 82.06%) for papaya. Projections indicate a marked spatial redistribution for both crops. Although between 78.93% and 85.92% of the territory remained in the same suitability class, plantain showed consistently negative net balances across all scenarios, with losses of up to −1690.87 km² under SSP5– 8.5 in 2070. For papaya, some scenarios showed short-term gains in high-suitability areas (up to 26.50% in 2050), but by 2070 net losses predominated, reaching −34.59% under SSP5– 8.5. These findings reveal crop-specific patterns that are overall unfavorable under climate change and provide a spatial basis for crop zoning, territorial prioritization, and the planning of adaptation measures aimed at site selection, crop diversification, and water management.
Severity and recovery of post-fire vegetation cover using satellite images and burned area indices in Cajamarca (Peru)
(Springer Nature, 2026-01-15) Cubas Sanchez, Jefferson Anthony; Ocaña Zúñiga, Candy Lisbeth; Gonzáles Pérez, Heinz; Santos Moreno, Almites; Ruiz Ramos, Mario; Barboza, Elgar; Vergara, Alex J.
Background Assessing the severity of forest fires allows us to identify changes that compromise the natural regeneration capacity of vegetation. In this study, we evaluated the severity and recovery of vegetation after a fire using Sentinel-2 satellite images for the Cajamarca department in northeastern Peru. Hot spots were downloaded from the Fire Information for Resource Management System (FIRMS). This allowed us to identify eight groups with an area >100 hectares, heat intensity >100 Fire Radiative Power (FRP), and the presence of trees. By applying the Normalized Burn Ratio (NBR) and the Normalized Difference Vegetation Index (NDVI), the levels of extreme, high, medium, and low severity were determined, as well as the recovery of vegetation before and after the fire events. Results and Conclusions The results indicated that 71.02% of the evaluated territory had low severity, 21.95% had medium severity, 6.41% had high severity, and 0.65% had extreme severity, indicating a prevalence of medium to low severity in the study area. The fires that occurred had similar NDVI levels in the pre-fire stage; however, after the fire, a progressive recovery of vegetation was observed in the study area. This highlights the application of spectral indices to assess the impact and regrowth of vegetation after the development of fires.