May 2025
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8 Reads
Trees Forests and People
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May 2025
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8 Reads
Trees Forests and People
March 2025
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62 Reads
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1 Citation
In this research, species distribution prediction models (i.e., MaxEnt) were applied to analyze the suitability of the ecological environment among the clades of the genus Gynoxys in Peru. Bioclimatic, edaphic, and topographic variables were integrated to predict the areas with the most significant potential for optimal development of this genus. These data were combined to generate potential distribution maps, taking into account the most relevant variables for each clade. The validation of the MaxEnt model showed an outstanding performance, reaching AUC indices above 0.9, reflecting the high accuracy of the predictions. The results reveal that the key variables influencing the selection of the clade occurrence areas are: mintempwarmest (47.70% contribution) in the Discoide clade, topowet (33.20%) in the Gynoxys clade, and monthcountbytemp10 (33.30%) in the Praegynoxys clade. The potential distribution areas of these clades were 132,594 km² for Discoide, 168,574 km² for Gynoxys, and 37,392 km² for Praegynoxys. The areas with the highest probability of presence of the genus were found in the Andean regions of northern and central Peru. However, a significant proportion of these areas were threatened by habitat fragmentation and land degradation. In terms of conservation, it was found that 32.05, 35.46, and 61.02% of the potential distribution areas of the discoid, Gynoxys, and Praegynoxys clades, respectively, are conserved, which could be a relevant factor for the preservation of this genus. These findings underscore the relevance of safeguarding key areas for conserving Gynoxys and montane ecosystems in Peru, emphasizing the need for protection strategies that guarantee the long-term sustainability of these species and their associated habitats.
March 2025
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89 Reads
Remote sensing is essential in precision agriculture as this approach provides high-resolution information on the soil’s physical and chemical parameters for detailed decision making. Globally, technologies such as remote sensing and machine learning are increasingly being used to infer these parameters. This study evaluates soil fertility changes and compares them with previous fertilization inputs using high-resolution multispectral imagery and in situ measurements. A UAV-captured image was used to predict the spatial distribution of soil parameters, generating fourteen spectral indices and a digital surface model (DSM) from 103 soil plots across 49.83 hectares. Machine learning algorithms, including classification and regression trees (CART) and random forest (RF), modeled the soil parameters (N-ppm, P-ppm, K-ppm, OM%, and EC-mS/m). The RF model outperformed others, with R² values of 72% for N, 83% for P, 87% for K, 85% for OM, and 70% for EC in 2023. Significant spatiotemporal variations were observed between 2022 and 2023, including an increase in P (14.87 ppm) and a reduction in EC (−0.954 mS/m). High-resolution UAV imagery combined with machine learning proved highly effective for monitoring soil fertility. This approach, tailored to the Peruvian Andes, integrates spectral indices and field-collected data, offering innovative tools to optimize fertilization practices, address soil management challenges, and merge modern technology with traditional methods for sustainable agricultural practices.
March 2025
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29 Reads
Trees Forests and People
March 2025
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17 Reads
Journal of Agriculture and Food Research
March 2025
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9 Reads
Journal of Agriculture and Food Research
February 2025
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38 Reads
The increasing demand for food and energy presents challenges for agricultural and energy sustainability, especially in regions with limited arable land. This study analyzed the productivity and morphological adaptations of Phaseolus vulgaris L. in agrivoltaic systems using monofacial, bifacial, and semi-transparent photovoltaic technologies under the high Andean climatic conditions of Chachapoyas, Amazonas, Peru. The evaluated varieties, Panamito and Chaucha, were cultivated with planting distances of 25 cm and 35 cm. The analyzed variables included plant height, number of trifoliate leaves, number of flowers, number and weight of pods, grain weight, and yield. The experiment was designed with plots under agrivoltaic systems and a conventional system as a control. Environmental parameters such as photosynthetically active radiation (PAR), irradiance, precipitation, leaf moisture, soil moisture, and ambient temperature were monitored. Results showed that the bifacial system with a planting density of 25 cm was the most efficient, recording a plant height of 139.38 cm, an average grain weight of 67.97 g, and a yield of 700.5 kg/ha, significantly surpassing the conventional system. These findings shows the potential of agrivoltaic systems to enhance agricultural production by efficiently utilizing solar radiation and land, providing an innovative solution for integrating agriculture and energy generation, as well as increasing productivity in scenarios with land-use competition and climatic challenges.
February 2025
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60 Reads
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3 Citations
Pitahaya (Hylocereus megalanthus), commonly known as dragon fruit, is grown in tropical areas and has a promising future in the world market. At present, it is a crop developed by small-scale farmers. However, finding optimal areas for installing this crop is a major challenge. In this study, we evaluated the suitability of land for pitahaya cultivation in the department of Amazonas using integrated multi-criteria techniques such as geographic information systems (GISs) and remote sensing (RS). The analytic hierarchy process (AHP) method was used to select and rank the suitability criteria. The fuzzy-AHP (F-AHP) method was then applied to perform pairwise comparisons and determine the linguistic scaling of the requirements, and, using the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), the requirements with the highest preference for land suitability were selected. The results reported that for pitahaya cultivation, the most important criterion was mean annual temperature (20.70%), followed by soil organic matter (11.8%), mean annual rainfall (9.50%), and proximity to roads (9.0%). The final suitability map indicated that 0.006% (2.39 km²) was very suitable, 4.60% (1661.97 km²) moderately suitable, 0.10% (34.65 km²) marginally suitable, and 95.30% (34,459.31 km²) of the study area was not suitable.
February 2025
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42 Reads
Ecological Informatics
January 2025
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62 Reads
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1 Citation
Journal of Genetic Engineering and Biotechnology
The genetic improvement of Physalis peruviana L. faces important challenges because it is a recalcitrant species, which limits its use in breeding and conservation programs. In the present research, the objective was to develop an effective regeneration protocol using cotyledon cultures. For this purpose, the effects of zeatin (ZT) and meta-topoline (mT) at concentrations of 0, 0.5, 1.0 and 2.0 mg/L and the effects of several auxins, including indol-butyric acid (IBA), indolacetic acid (IAA), naphthaleneacetic acid (NAA) and 2.4-dichlorophenoxyacetic acid (2.4-D), on morphogenetic responses were evaluated. A maximum regeneration of 62.5 % was achieved with the combination of 2 mg/L ZT, 2 mg/L mT, and 0.5-1 mg/L IBA. For root formation, the best results were obtained with the combination of 2 mg/L ZT, 2 mg/L mT, and 1 mg/L NAA, reaching a maximum rate of 87.5 %. In conclusion, specific combinations of cytokinins and auxins can overcome the resistance of P. peruviana to regeneration and provide a solid basis for biotechnological applications such as genetic transformation and germplasm conservation.
... For example, Class 2 exhibits slight confusion with Class 3 and Class 4, with 18 and 9 instances misclassified, respectively. Similarly, Class 4 shows minor misclassification into Class 3 and Class 5, indicating potential overlap in resilience characteristics between adjacent categories [74], [75]. ...
March 2025
... The various datasets analyzed, including atmospheric pollutants, active fire detections, land surface temperature, burn severity, vegetation indices, and land use land cover changes, collectively paint a picture of the detrimental effects of crop residue burning in the region ( Hasrama et al., 2025 ). The analysis of atmospheric pollutants, such as nitrogen dioxide (NO 2 ), methane (CH 4 ), and carbon monoxide (CO), reveals a significant increase in their concentrations during May 2023 compared to April 2023 ( Tuesta-Trauco et al., 2025 ). This increase can be directly attributed to the widespread practice of agricultural residue burning after the wheat harvest in May. ...
February 2025
... Las formas de propagación de P. peruviana son por semillas, esquejes, estacas o mediante su propagación in vitro; siendo la propagación por semillas la más utilizada, debido a su al alto porcentaje de germinación. Las características germinativas de una planta se determinan a través del porcentaje de germinación, porcentaje de emergencia y calidad fisiológica (energía germinativa) (Fischer, 2007;Vargas et al., 2025). El ácido giberélico tiene la capacidad de estimular y regular el desarrollo de la planta. ...
January 2025
Journal of Genetic Engineering and Biotechnology
... Kisah biji kopi penting dalam memenuhi branding produk yang memandang kopi sebagai gaya hidup, sehingga kualitas produk adalah kunci keberhasilan di pasar (Anggara et al. 2024 Salah satu kopi yang menjadi favorit pada berbagai kalangan masyarakat, yaitu "Specialty coffee". Specialty coffee merupakan kopi dengan kualitas baik yang memenuhi standar SCA (Specialty Coffee Association) dan segi fisik dan rasa yang tidak memiliki cacat (zero defect), salah satu jenis kopi yang masuk ke dalam "Specialty Coffee" yaitu kopi jenis arabika (Haro et al. 2025). Pasar kopi di Eropa dan Amerika gemar mengkonsumsi kopi yang memiliki sertifikasi standar SCA karena produk yang terjamin akan ramah lingkungan (Afif et al. 2023). ...
December 2024
Journal of Agriculture and Food Research
... The Amazonas region has experienced a large number of forest fires that have devastated large areas of forest plantations and natural forests. From 2017 to 2019, 162.24 km 2 was burned, negatively impacting the Yungas ecosystems (basimontane forest, montane forest, and ultramontane forest) and Jalca, with the fires distributed in the provinces of Utcubamba, Luya, and Chachapoyas [65], and this has been detrimental to the local economy, wildlife, and archaeological monuments of high cultural value, such as the Kuelap Fortress, which has been affected by the forest fires that occur on the periphery of this historical center, as on some occasions the fire damaged the natural vegetation that protects it. However, there are no specialized studies where the prediction of areas with the highest risk of this event occurring was carried out. ...
November 2024
... This suggests acidification in the SPS influence zone, particularly with E. globulus and A. melanoxylum. This acidifying effect may lead to long-term impacts, including reduced nutrient availability (Kangela Matazi et al. 2023;Temesgen et al. 2016), declines in aerial and root biomass in pastures (Sarto et al. 2020) and changes in soil microbial communities (Vigo et al. 2024). The negative correlation between OM and bulk density (BD) arises from higher OM in SPS sites due to natural litter and pruning compared to grazing areas (Polanía-Hincapié et al. 2021;Valenzuela Que et al. 2022). ...
September 2024
Trees Forests and People
... A mix-variety coffee produces complex cupping characteristics that created the uniqueness of Chiang Rai coffee. Since climate change with rising temperatures and water scarcity now impacts product quality, Thai Arabica production region also faced with these changes which affected directly to Thai coffee industry [1][2][3][4]. To address these issues, farmers are prioritizing post-harvest processing and drying of coffee cherries to reduce moisture levels from 55 to 60 % to a more stable 9-12 % for storage. ...
August 2024
Journal of Agriculture and Food Research
... The vegetation cover of each LCZ was analyzed using the Normalized Difference Vegetation Index (NDVI), obtained through the open-source platform ClimateEngine (https://app.climateengine.com/climateEngine. Accessed on 19 September 2024), utilizing data from the Sentinel-2 SR sensor, which offers a spatial resolution of 10 m [18]. The data were extracted for each polygon representative of the previously identified LCZs For the final stage, the free software QGIS (version 3.36.3) ...
August 2024
... Smaller or irregularly shaped vegetation patches experience amplified edge effects, leading to accelerated soil water evaporation and greater soil moisture loss compared to larger patches [21]. Increasing heterogeneity may initially enhance resource redistribution and biodiversity, but beyond a critical level, it can amplify sensitivity to drought [9,22]. Conversely, reducing heterogeneity might homogenize microenvironments, but might inadvertently lower resistance to extreme droughts. ...
July 2024
Ecological Informatics
... 80-90% of municipal waste is disposed without scientific waste disposal methods, such as open burning and as a consequence, it causes the pollution of soil, air and water (Ahluwalia & Patel, 2018). Santisteban et al., 2024 studied that using Fuzzy -AHP integrated with remote sensing the landfill sites were selected also under the insights of solid waste generation and 20 year population projection. ...
June 2024
Civil Engineering Journal