Examinando por Autor "Salazar Coronel, Willian"

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Valorization of sugarcane residues as a bio-input for sustainable cultivation of cucurbita moschata on the northern coast of Peru
(Arid Zone Research Association of India, 2026-03-28) Palomino Arias, Mickel; Salazar Coronel, Willian; Paredes Jacinto, Juan Carlos; Rivas, Johan; Calero Rios, Emilee Nahomi; Aldava Pardave, Uriel; Solórzano Acosta, Richard Andi
The valorization of agro-industrial waste represents a pivotal strategy for enhancing the sustainability of horticultural systems in arid regions. This study evaluated the potential of compost derived from sugarcane residues as an ecological alternative to chemical fertilization in the cultivation of Cucurbita moschata (loche), a culturally and economically significant crop on the northern coast of Peru. Four fertilization treatments were compared: conventional mineral fertilization, compost from sugarcane residues enriched with efficient microorganisms, compost supplemented with digestive enzymes, and guano from islands. Physiological parameters (plant vitality, elongation, number of shoots, and SPAD index) and productive indicators (fruit number, length, diameter, and °Brix) were evaluated under dry climatic conditions. Significant differences were observed in SPAD values at 107 days after sowing, with conventional mineral fertilization exhibiting the highest index (51.39 ± 5.4). While yield related traits did not differ statistically among treatments, compost from sugarcane residues enriched with efficient microorganisms showed vegetative development comparable to that of the mineral treatment, along with a positive trend in plant length. No significant differences were observed in fruit quality or number. These results suggest that composted sugarcane residues, especially when enriched with microbial agents, can support crop growth without compromising productivity. This study constitutes the first formal report on the application of sugarcane waste compost in C. moschata cultivation. Its implementation could promote agroecological practices, reduce reliance on mineral
Yield predictions of ‘Del Cerro’ cotton (Gossypium hirsutum L.) germplasm by multispectral monitoring in the north coast of Peru
(Instituto de Investigaciones Agropecuarias, INIA, 2025-02-01) Cruz Grimaldo, Camila Leandra; Nieves Rivera, Marite Yulisa; Vera Díaz, Elvis; Durán Gómez, Moisés Rodrigo; Morales Pizarro, Davies Arturo; Salazar Coronel, Willian; Arbizu Berrocal, Carlos Irvin
Peruvian cotton (Gossypium hirsutum L.) has great acceptance and demand in the national and international textile market due to the excellent quality of its extra-long fiber, durability and resistance. To evaluate cotton cultivar performance, we need to use tools such as drones + sensors. However, these tools have not been widely used in the Peruvian agricultural area. Here we evaluated seven agro-morphological characters of 21 accessions of Del Cerro cotton cultivar from the National Institute of Agrarian Innovation of Peru with highthroughput phenotyping methods. We employed a Matrice 300 RTK unmanned aerial vehicle (UAV) with the MicaSense Dual Red Edge Blue multispectral sensor to assess plant height, yield, and spectral signature during physiological maturity stage; other morphological characters were manually scored. Multispectral monitoring revealed the phytosanitary status of the crop, which begins to enter senescence after 130 d after sowing (DAS) due to the decrease of the vegetation indices (VI). Pearson correlations between yield and VI showed favorable values, exceeding 0.60 at 94 DAS for normalized difference vegetation index (NDVI), relative vigor index (RVI), and normalized difference red edge index (NDRE). Principal component analysis (PCA) was conducted on the same date, a significant correlation was found between NDVI and yield. Additionally, yield prediction equations were generated with the normalized difference water index (NDWI) showing an R value of 0.74 at 130 DAS. The findings of this study suggest that remote sensing evaluation is suitable for estimating ‘Del Cerro’ cotton yield in infrared (IR) bands, providing a tool for germplasm evaluation that can influence decision-making and better conservation strategies.