Manuel Oliva-Cruz’s research while affiliated with National University Toribio Rodríguez de Mendoza and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (69)


Standardization of tree species in agroforestry systems of Coffea arabica L. at different altitudes in Amazonas,Peru
  • Article

May 2025

·

8 Reads

Trees Forests and People

·

Gerson Meza-Mori

·

Jaqueline Llomeli Zuta Lopez

·

[...]

·

Manuel Oliva-Cruz

Location of the research area and analysis of the distribution of the genus Gynoxys in Peru.
Botanical samples were collected from clades of the genus Gynoxys in Peru, where (a) Discoide clade, (b) Gynoxys clade, and (c) Praegynoxys clade.
Distribution of potential areas of the genus Gynoxys in the Peruvian territory. Where the potential distribution of each clade is represented in (a) Discoide clade, (b) Gynoxys clade, and (c) Praegynoxys clade.
Association between the potential distribution of the genus Gynoxys with elevation and the ecoregions of Peru. Where (a–c) represent the association of the suitable areas of the Discoide clade, Gynocys, and Praegynoxys with altitude, and (d–f) shows the association of the potential distribution of the clades with ecoregions.
Association between the potential distribution of the genus Gynoxys with elevation and ecoregions of Peru using MCA. Where: (a) MCA altitude and potential distribution, and (b) MCA ecoregions and potential distribution.

+1

Habitat Suitability Distribution of Genus Gynoxys Cass. (Asteraceae): An Approach to Conservation and Ecological Restoration of the Andean Flora in Peru
  • Article
  • Full-text available

March 2025

·

62 Reads

·

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.

Download

Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru

March 2025

·

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.





Productivity and Morphological Adaptation of Phaseolus vulgaris L. in Agrivoltaic Systems with Different Photovoltaic Technologies: A Case Study in Chachapoyas, Amazonas, Peru

February 2025

·

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.


Land Suitability for Pitahaya (Hylocereus megalanthus) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE

February 2025

·

60 Reads

·

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.



Fig. 1. Shoot regeneration in P. peruviana cotyledon explants. (A) Goldenberry seedling with fully expanded cotyledons. (B) Callus formation after 14 days of culture in medium with different doses of mT and ZT. (C). Shoot regeneration from cotyledon explants after 5 weeks in culture medium with 2 mg/L ZT + 2 mg/L mT. (D). Shoot regeneration at 5 weeks onto medium with AIB 0.50 mg/L + 2 mg/L ZT + 2 mg/L mT. (E) Shoot regeneration onto medium with AIB 1.00 mg/L + 2 mg/L ZT + 2 mg/L mT. (F) Regenerated shoots. (G) In vitro rooting of regenerated shoots on MS medium without growth regulators. (H) Acclimatization of seedlings and hardening off in pots with a 1:1 ratio of sterile substrate and sand.
Fig. 2. Effect of four types of auxins: IBA (Indole 3-butyric acid), IAA (Indole-3-acetic acid), 2.4-D (2.4-dichloro-phenoxyacetic acid) and NAA (Naphthalene acetic acid) at three concentrations (0.1, 0.5 and 1 mg/L), on shoot regeneration and rhizogenesis in cotyledonary explants of P. peruviana at 5 weeks of culture. All media were supplemented with 2 mg/L ZT + 2 mg/L mT. (A) Effect of IBA. (B) Effect of IAA. (C) Effect of 2.4-D. (D). Effect of NAA. Each vertical row represents the effects of the same type of auxin at different concentrations (0.1, 0.5 and 1 mg/L). The images visually illustrate the specific morphogenic responses for each hormone combination.
Fig. 3. Morphogenic response of cotyledonal explants of P. peruviana to different auxins in combination with 2 mg/L ZT + 2 mg/L mT. (A) Effect of auxins on the percentage of shoot regeneration. (B) Effect of auxins on the percentage of rhizogenesis or root formation. (C) Number of shoots regenerated using different auxins. (D) Number of roots per explant. Data presented in bars are the mean ± standard error. Different letters indicate statistically significant differences (p ≤ 0.05), according to the Tukey test.
Fig. 4. Pearson correlation matrix between morphogenic parameters in P. peruviana. The color gradient in the matrix reflects the degree of correlation between the parameters evaluated, with darker shades of blue indicating a high positive correlation, while lighter shades or shades closer to red represent a lower or negative correlation. The numerical values within each cell describe the strength of the correlation. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Effect of different types and concentrations of auxins in combination with cy- tokinins (2 mg/L of ZT and mT) on regeneration and in vitro rhizogenesis of P. peruviana.
Development and optimization of in vitro shoot regeneration in Physalis peruviana using cotyledon explants

January 2025

·

62 Reads

·

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.


Citations (36)


... 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]. ...

Reference:

Multi-Sensor Remote Sensing and AI-Driven Analysis for Coastal and Urban Resilience Classification
Habitat Suitability Distribution of Genus Gynoxys Cass. (Asteraceae): An Approach to Conservation and Ecological Restoration of the Andean Flora in Peru

... 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. ...

Land Suitability for Pitahaya (Hylocereus megalanthus) Cultivation in Amazonas, Perú: Integrated Use of GIS, RS, F-AHP, and PROMETHEE

... 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. ...

Development and optimization of in vitro shoot regeneration in Physalis peruviana using cotyledon explants

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). ...

Influence of agroforestry systems on Coffea arabica L. yield and quality at different altitudes in Amazonas, Peru

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. ...

Spatial Distribution of Burned Areas from 1986 to 2023 Using Cloud Computing: A Case Study in Amazonas (Peru)

... 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). ...

Influence of Eucalyptus globulus plantations on soil characteristics at different altitudinal levels

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. ...

Sensory quality of coffee (Coffea arabica L.): Influence of tree diversity and harvest segmentation in agroforestry systems
  • Citing Article
  • 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) ...

Construction of Linear Models for the Normalized Vegetation Index (NDVI) for Coffee Crops in Peru Based on Historical Atmospheric Variables from the Climate Engine Platform

... 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. ...

Landsat images and GIS techniques as key tools for historical analysis of landscape change and fragmentation

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. ...

Optimizing Landfill Site Selection Using Fuzzy-AHP and GIS for Sustainable Urban Planning

Civil Engineering Journal