Revista Peruana de Investigación Agropecuaria https://revistas.unaaa.edu.pe/index.php/repia <p>Launched in 2022, the <strong>Revista Peruana de Investigación Agropecuaria (REPIA)</strong> is an international open access diamond scientific journal edited by the Research Institute of the Universidad Nacional Autónoma de Alto Amazonas (Peru), in collaboration with the Faculties of Engineering and Science.</p> <p>REPIA publishes original peer-reviewed articles every six months in spanish, english and/or portuguese, covering topics related to Agronomy, Animal Husbandry, Aquaculture, Livestock and other disciplines related to agricultural sciences.</p> <p>Currently, it is registered/indexed in platforms such as Latindex Directorio, Responsible Journals, Google Scholar, among other information systems.</p> es-ES <p><strong>Authors retain their rights:</strong></p> <p>a. The authors retain the intellectual property rights (copyright) of the published works, assigning to the journal the right of first publication.</p> <p>b. Authors retain their trademark and patent rights, and also on any process or procedure described in the article.</p> <p>c. Authors retain the right to share, copy, distribute, perform and publicly communicate the article published in REPIA (e.g., place it in an institutional repository or publish it in a book), with an acknowledgement of its initial publication in REPIA.</p> <p>d. Authors retain the right to make a subsequent publication of their work, to use the article or any part of it (e.g., a compilation of their work, notes for conferences, theses, or for a book), provided they indicate the source of publication (authors of the work, journal, volume, number, and date).</p> fchu@unaaa.edu.pe (Dr. Fred William Chu Koo) fondoeditorial@unaaa.edu.pe (Ing. Lloy Pool Pinedo Tuanama) Thu, 10 Oct 2024 00:00:00 -0500 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60 Duckweed (Lemna minor): a potential alternative protein input for animal feed https://revistas.unaaa.edu.pe/index.php/repia/article/view/81 <p>Duckweed (<em>Lemna minor</em>) emerges as an innovative ingredient in animal feed, offering a vegetable protein source that can complement or replace conventional protein sources such as soybean cake and fishmeal. Therefore, worldwide research has been carried out on its use in food. By its nutritional composition, this plant is characterized by its high protein, amino acid and fibrous profile, varying between 30 and 45% protein, in addition to its low fat and carbohydrate content, which is directly influenced by the environment where it is grown and the nutrients present in the water with the use or not of organic fertilizers, being also a very friendly and low-cost alternative, provided that the minimum accumulation of heavy metals and anti-nutritional components is controlled, thus obtaining a safe input for humans, animals and the environment. This review mainly addresses the nutritional composition of duckweed (<em>Lemna minor</em>) and its effects in feeding some monogastric species.</p> Ronaldo Francesco Zevallos-Contreras, Walter Rolando Oscanoa-Condor Copyright (c) 2024 Ronaldo Francesco Zevallos-Contreras, W https://creativecommons.org/licenses/by/4.0 https://revistas.unaaa.edu.pe/index.php/repia/article/view/81 Thu, 10 Oct 2024 00:00:00 -0500 Reproductive biology of Hypophthalmus edentatus (Pimelodidae) and Brycon amazonicus (Bryconidae) in the Putumayo basin, Loreto region, Peru https://revistas.unaaa.edu.pe/index.php/repia/article/view/71 <p>Fishing is one of the main economic activities in the Putumayo River, despite the little biological information generated on the exploited species. The objective was to characterize the reproductive biology of <em>Hypophthalmus edentatus</em> and <em>Brycon amazonicus</em> in the middle basin of the Putumayo River (Loreto-Peru). A total of 192 specimens of <em>H. edentatus</em> were captured, with an average length and weight of 34,35 cm and 175,9 g, respectively, and 152 specimens of <em>B. amazonicus</em>, with an average length and weight of 30,73 and 175,9 ± 40,6 g, respectively. These specimens were collected between November 2020 and October 2021 in the fishing port and the municipal market of El Estrecho and through exploratory fishing. The size at first sexual maturity (L50) of <em>H. edentatus</em> was 26,5 and 28,3 cm standard length (SL) and maximum gonadosomatic index (GIS) of 1,6% and 0,6% for females and males, respectively. For <em>B. amazonicus</em>, the L50 was 25,1 cm and 24,8 cm LE and maximum IGS of 6,9% and 1,09% E for females and males, respectively. For both species, the average sex ratio was 2:1 (females: males). Based on these results, it is recommended to implement effective strategies for the conservation of both species.</p> Luis Olabo Sotelo-Lescano, Luis Exequiel Campos-Baca, Javier del-Águila-Chávez, Sybill Prisyla Casado-del-Castillo Copyright (c) 2024 Luis Olabo Sotelo-Lescano, Luis Exequiel Campos-Baca, Javier del-Águila-Chávez, Sybill Prisyla Casado-del-Castillo https://creativecommons.org/licenses/by/4.0 https://revistas.unaaa.edu.pe/index.php/repia/article/view/71 Thu, 10 Oct 2024 00:00:00 -0500 Prediction of soil fertility using machine learning in Alto Amazonas province, Peru https://revistas.unaaa.edu.pe/index.php/repia/article/view/63 <p>The objective of the work was to predict soil fertility in the province of Alto Amazonas with the use of satellite images and machine learning techniques. The study was in the province of Alto Amazonas in Peru. Soil sampling was carried out in all the provinces, totalling 100 samples. Afterwards, soil physical (texture) and chemical analyses were performed. Satellite images were obtained from USGS, and vegetation indexes were calculated based on these images. Finally, descriptive analysis and machine learning modelling using 06 algorithms (GLM, CUBIST, KKNN, SVM, Random Forest and NN) were used and selected based on their R2 and rmse. In this work, we observed that most soils in the province have low pH, P, Mg, K and high acidity. We also managed to achieve good predictions for pH, Ca, Mg and CEC, and we observed that the most successful algorithm was Random Forest. Nevertheless, for Al, CUBIST performed better. This is one of the first works using machine learning to predict soil fertility in the Peruvian Amazon, and we hope it may serve as a base for future projects.</p> César Oswaldo Arévalo-Hernández, Enrique Arévalo-Gardini, Luis Alberto Arévalo-López, Oscar Tuesta-Hidalgo, Dayani Shirley Romero-Vela, Claudia Elizabeth Ruiz-Camus Copyright (c) 2024 César Oswaldo Arévalo-Hernández, Enrique Arévalo-Gardini, Luis Alberto Arévalo-López, Oscar Tuesta-Hidalgo, Dayani Shirley Romero-Vela, Claudia Elizabeth Ruiz-Camus https://creativecommons.org/licenses/by/4.0 https://revistas.unaaa.edu.pe/index.php/repia/article/view/63 Thu, 10 Oct 2024 00:00:00 -0500 Development of an energy drink based on cocoa and guayusa https://revistas.unaaa.edu.pe/index.php/repia/article/view/66 <p>The research focused on the development of energy drinks using cocoa powder (<em>Theobroma cacao</em> L), guayusa (<em>Ilex guayusa</em>), powdered panela as a natural sweetener, and water. An experimental approach was employed, and three treatments were developed. Guayusa leaves, cocoa and powdered panela were used. As part of the experimental design, variable amounts of cocoa (20%, 30%, 27%) and guayusa (35%, 25%, 28%) were tested while keeping the amounts of panela and water constant. A sensory evaluation using a 4-level hedonic scale determined the most accepted product. Statistical analysis of the results indicated that treatment 2 achieved the best averages, with a mean score of 3.47 for color, 3.57 for texture, 3.23 for flavor, and 3.60 for aroma. Additionally, physicochemical analyses were conducted, showing pH and soluble solids values of 5.5 and 22°C. Microbiological tests, according to the INEN 2411:2017 standard, indicated the absence of mesophilic aerobes, coliforms, molds, and yeasts, and a bromatological analysis revealed a caffeine content of 230 mg/l, indicating that the beverage meets the basic caffeine requirement for energy drinks.</p> Luis Humberto Vásquez-Cortez, José Rojas-Sánchez, Álvaro Pazmiño-Pérez, Sanyi Lorena Rodríguez-Cevallos Copyright (c) 2024 Luis Humberto Vásquez Cortez, José Ricardo Rojas Sánchez, Álvaro Martín Pazmiño Pérez, Sanyi Lorena Rodríguez Cevallos https://creativecommons.org/licenses/by/4.0 https://revistas.unaaa.edu.pe/index.php/repia/article/view/66 Thu, 10 Oct 2024 00:00:00 -0500 Freshwater shrimp diversity (Crustacea: Palaemonidae) in tributaries of the upper basin of the Itaya River, Loreto, Peru https://revistas.unaaa.edu.pe/index.php/repia/article/view/73 <p>Freshwater shrimp are essential organisms for the proper functioning of aquatic ecosystems. However, little is currently known about their diversity and abundance in Amazonian water bodies. Thus, the present study aimed to conduct a preliminary survey of the diversity and abundance of shrimp species from the family Palaemonidae in two tributaries of the upper Itaya River basin, Loreto, Peru. A total of 40 samples were collected between October and November 2018 in the tributaries Huanganaico and Pumayucu of the upper Itaya River. A total of 60 individuals were recorded belonging to the species <em>Macrobrachium brasiliense</em>, which was the most abundant (85% occurrence, n = 52 individuals), and <em>M.</em> <em>amazonicum</em> (15% occurrence, n = 9 individuals). Monthly abundance indicated fluctuations in individuals during the sampled months, and biological indices showed low levels of alpha diversity. In conclusion, there is low species diversity of shrimp in the upper Itaya River basin, with <em>M.</em> <em>brasiliense</em> being the most abundant species during the capture period. These results contribute to the understanding of freshwater shrimp diversity in the Itaya River basin for management and conservation purposes.</p> Javier del-Águila-Chávez, Rommy L. García-Meléndez, Luis García-Ruiz, Sybill Prisyla Casado-del-Castillo Copyright (c) 2024 Javier del-Águila-Chávez, Rommy L. García-Meléndez, Luis García-Ruiz, Sybill Prisyla Casado-del-Castillo https://creativecommons.org/licenses/by/4.0 https://revistas.unaaa.edu.pe/index.php/repia/article/view/73 Thu, 10 Oct 2024 00:00:00 -0500