Scientia Agropecuaria https://revistas.unitru.edu.pe/index.php/scientiaagrop <p><strong>ISSN</strong>: 2077-9917 (print); 2306-6741 (online) </p><p><strong>Journal abbreviation</strong>: Sci. agropecu.</p><p><em><strong>Scientia Ag</strong><strong>ropecuaria</strong></em> is a quarterly scientific journal, which encourages the generation and dissemination of scientific knowledge, publishing original and review works in the field of agricultural sciences<em>.</em></p><div><p><strong>Indexing in: </strong>SCOPUS, ESCI (Web of Science), DOAJ, Chemical Abstracts Services, AGRIS/FAO, Redalyc, SciELO, REDIB, DIALNET, BASE, CiteFactor, MIAR, LATINDEX, Sherpa Romeo.</p></div> Universidad Nacional de Trujillo es-ES Scientia Agropecuaria 2077-9917 <p>The authors who publish in this journal accept the following conditions:</p><p>a. The authors retain the copyright and assign to the magazine the right of the first publication, with the work registered with the <a href="https://creativecommons.org/licenses/by/3.0/" target="_blank">Creative Commons</a> attribution license, which allows third parties to use the published information whenever they mention the authorship of the work and the First publication in this journal.</p><p>b. Authors may make other independent and additional contractual arrangements for non-exclusive distribution of the version of the article published in this journal (eg, include it in an institutional repository or publish it in a book) as long as it clearly indicates that the work Was first published in this journal.</p><p>c. Authors are encouraged to publish their work on the Internet (for example, on institutional or personal pages) before and during the review and publication process, as it can lead to productive exchanges and a greater and faster dissemination of work Published (see <a href="http://opcit.eprints.org/oacitation-biblio.html" target="_blank">The Effect of Open Access</a>).</p> Detection of late blight in potato leaves using drone images and Deep Learning techniques https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/6482 <p><em>Phytophthora</em> <em>infestans</em> causes one of the most devastating diseases of the potato crop, also known as late blight. Since early identification of this pathogen is crucial for the effective control of the disease, this study aimed to propose an automated methodology for the identification of its lesions in potato leaflets, using convolutional neural networks called “Mask R-CNN”. The evaluations were carried out during the rainy season, in crops conducted by farmers in the locality of Huasahuasi, in the central Andes of Peru. One hundred photographs (5472 × 3078 pixels) were taken with a Phantom 4 Pro unmanned aerial vehicle (UAV) at an altitude of 3 m in crops with a late blight incidence between 2 and 3. The images were divided into four parts and then passed thorough quality control, resulting in 200 photos (1825 × 1369 pixels). Of the total, 75% was used for model training and 25% for model validation. The models were evaluated under real conditions, using metrics such as accuracy and recall. It was determined that the Mask R-CNN neural network, based on the ResNet 101 deep neural network architecture, offers acceptable accuracy and effectiveness (73.5%) in the identification of late blight lesions at the leaflet level. This methodology constitutes a significant contribution to precision agriculture in the Andes, validating a non-invasive tool capable of overcoming the topographical limitations of the area. Its practical application would optimize the use of fungicides through targeted detection, thereby promoting more sustainable and profitable potato production systems for local farmers.</p> J. A. Cairampoma Delia Gamarra-Gamarra F. E. Dionisio Copyright (c) 2026 Scientia Agropecuaria https://creativecommons.org/licenses/by-nc/4.0 2026-02-16 2026-02-16 17 2 293 303 10.17268/sci.agropecu.2026.020 Screening commercial disinfectants to strengthen on-farm biosecurity for the prevention of Fusarium wilt of banana Tropical Race 4 in Ecuador https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/7288 <p>Bananas (<em>Musa</em> spp.), often reported together with plantains, are among the most traded fruit commodities worldwide, particularly in terms of export volume and value, with Ecuador recognized as the leading global exporter, supplying approximately one quarter of the total international trade. However, its production is increasingly threatened by climate change and fungal diseases such as Fusarium wilt, caused by <em>Fusarium oxysporum</em> f. sp. <em>cubense</em> Tropical Race 4 (<em>Foc </em>TR4). To support preventive management strategies against <em>Foc </em>TR4, this study evaluated the <em>in vitro</em> efficacy of nine commercial disinfectants available in Ecuador—including quaternary ammonium compounds (QACs), oxidizing agents, aldehydes, and alkaline substances—against conidia and chlamydospores of several <em>Foc</em> race 1 strains (VCG0120) as a model organism. Different concentrations and contact times were tested in the presence and absence of organic matter. Chlamydospores exhibited higher resistance than conidia, requiring greater concentrations for inhibition. Aldehyde formulations and QACs achieved the lowest minimum inhibitory concentrations (&lt;1,000 ppm) and remained effective under organic load and variable contact times. These findings emphasize the need to select disinfectants with consistent efficacy under field-relevant conditions to ensure the application of proper biosecurity measures.</p> Lorena Monserrate-Maggi Adela Quevedo Lizette Serrano Marcos Vera-Morales Mirian Villavicencio Martín Marcial Jennifer Yánez Freddy Magdama Copyright (c) 2026 Scientia Agropecuaria https://creativecommons.org/licenses/by-nc/4.0 2026-02-16 2026-02-16 17 2 305 320 10.17268/sci.agropecu.2026.021 Partial replacement of Artemia sp. by Moina sp. as live feed and early weaning onto a commercial diet: effects on growth, survival, and digestive histology of paiche (Arapaima sp.) juveniles https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/7289 <p>Paiche (<em>Arapaima</em> sp.) is an emblematic species of the Peruvian Amazon, yet sustainable production remains constrained by the limited availability of fry in captivity. This study aimed to evaluate the partial replacement of <em>Artemia</em> sp. by <em>Moina </em>sp. during the live-feeding phase and the effect of early weaning onto a commercial trout diet on growth, survival, and digestive system histology. The 37-day feeding trial was conducted with six treatments in triplicate, defined by three weaning sizes (3, 3.5, and 4 cm total length) and two live-feed regimes (100% <em>Artemia</em> sp. or 50% <em>Artemia</em> sp. + 50% <em>Moina</em> sp.). All groups were weaned onto the same commercial diet. Results showed that replacing 50% of <em>Artemia</em> sp. with <em>Moina</em> sp. did not compromise initial performance. However, fry assigned to weaning at 4 cm showed reduced growth while remaining exclusively on live feed, suggesting limitations of the live-feeding protocol at that size. Weaning at 4 cm was associated with better growth and survival indicators than weaning at 3 and 3.5 cm. Nonetheless, the commercial trout diet was unsuitable for early weaning, as evidenced at the histological level by alterations such as lumen obstruction, villi deterioration, and intestinal epithelial hyperplasia. Overall, these results highlight the need to develop paiche-specific starter diets tailored to the requirements of early life stages.</p> <p>&nbsp;</p> Diana Castro-Ruiz Zoila Rodríguez Ivanna Dávila Christian Fernández-Méndez Anaí Gonzales Flores Rosa Ismiño Carmen García-Dávila Rossana Cubas Carmela Rebaza Nieves Sandoval Maria J. Darias Copyright (c) 2026 Scientia Agropecuaria https://creativecommons.org/licenses/by-nc/4.0 2026-02-16 2026-02-16 17 2 321 332 10.17268/sci.agropecu.2026.022