Examinando por Materia "Amazonia"

Mostrando 1 - 14 de 14

Comparative analysis of key fiber characteristics in white pima cotton (Gossypium barbadense L.): Native accessions from the Peruvian Amazon
(John Wiley & Sons Inc., 2024-05-19) Morales Araníbar, Luis; Nieves Rivera, Marite Yulisa; Soto Gonzales, Hebert Hernán; Morales Araníbar, Carlos Genaro; Linares Gutiérrez, Nataniel; Gamarra Gomez, Francisco; Zuffo, Alan Mario; González Aguilera, Jorge; Steiner, Fabio
The fiber quality of cotton (Gossypium barbadense L.) native to the Peruvian Amazon region is one of the most versatile and essential natural fibers in the Peruvian textile industry. There is little information about the fiber quality traits of cotton genotypes native to the Peruvian Amazon region. This study investigated the fiber quality traits of Peruvian Pima cotton accessions native to the Amazon region of the La Convención Province, Cusco, Peru, to determine the lines with the greatest potential for improving fiber quality in cotton genetic breeding programs. A total of 14 cotton accessions with white fiber color, being 12 accessions of G. barbadense L. (Pima cotton) and two accessions of Gossypium sp. (unknown cotton), were analyzed. The fiber properties determined using the high volume instrument method included seven characteristics. All fiber properties were classified into five quality classes. The data on fiber quality properties were subjected to distribution, correlation, and canonical variable analysis. The results of fiber quality properties showed that the two accessions of Gossypium sp. (unknown cotton) can be promising options to be used as high-quality fiber progenies in crop genetic breeding programs or can be cultivated by regional farmers for the purpose of producing cotton with high fiber quality. Future investigations could utilize other methods of fiber quality analysis and compare the fiber quality of these cotton accessions native to the Peruvian Amazon region with other cotton species grown worldwide to improve the understanding of Pima cotton fiber quality and its applicability in different contexts of the textile industries.
Crecimiento y productividad de plantaciones forestales en la amazonía peruana
(Instituto Nacional de Innovación Agraria – INIA, 2010) Flores Bendezú, Ymber
La publicación pretende evaluar y analizar las plantaciones puras y en fajas de enriquecimiento de seis especies forestales establecidas en el Bosque Nacional Alexander von Humboldt, a través de la comparación de parámetros de crecimiento, productividad y condición sanitaria.
Deciphering the fiber quality of Gossypium barbadense L. var. brasiliensis in La Convención, Cusco, Perú
(BioMed Central Ltd., 2024-07-02) Morales Aranibar, Luis; Canto Sáenz, Manuel Antonio; Morales Aranibar, Carlos Genaro; Nieves Rivera, Marite Yulisa; González Aguilera, Jorge; Steiner, Fábio; Bardiviesso, Diógenes Martins; Zuffo, Alan Mario
The quality of cotton fiber determines its value in the textile market, influencing agricultural profitability and the efficiency of textile processing. The selection of genotypes with superior fibers is a key factor for genetic improvement programs seeking adaptability and sustainability in the face of climate change. This demonstrates the strategic importance of this plant for sustainable agriculture and the global textile industry. The objective of this research was to decipher the fiber quality of Gossypium barbadense var. brasiliensis in the native Amazonian communities of La Convencion, Cusco-Peru, and to evaluate other critical aspects of native cotton that have not yet been identified. The methodology included non-probability sampling for accessibility, qualitative and quantitative analyses, and multivariate analyses. The fiber length (mm), micronaire index (maturity/fineness), fiber strength (gf/tex), length uniformity index (%), fiber elongation (%), maturation index (%), and short fiber index (%) were the fiber characteristics evaluated using the HVI method in cotton genotypes.
Demanda de maderas provenientes de bosques y plantaciones forestales de la Amazonia peruana : evaluación a nivel del corredor centro
(Instituto Nacional de Innovación Agraria - INIA, 2013) Cuellar Bautista, José Eloy; Vilcapoma Areche, Esther; Ramos León, Haydeé Miriam
El estudio fue desarrollado en el marco del sub proyecto “Opciones para la promoción e innovación tecnológica de maderas procedentes de plantaciones forestales con especies nativas de la región amazónica” y “Establecimiento, manejo y conservación de fuentes de germoplasma de especies forestales comerciales nativas de la Amazonia peruana, en el marco de la Iniciativa Amazónica INCAGRO", con la finalidad de dar mayores alcances sobre el futuro de las especies que se estudio en el sub proyecto. El estudio se basa principalmente en el corredor centro que va desde Pucallpa a Lima, pasando por las ciudades de Tingo María, Huánuco, Pasco, Junín, cuyo eje vial es la carretera central.
Guía para el reconocimiento de plántulas de especies forestales de la Amazonía peruana
(Instituto Nacional de Investigación Agraria - INIA, 1996) Flores Bendezú, Ymber
El documento contribuye al reconocimiento in situ de las plántulas de las principales especies forestales de la Amazonía peruana por parte de profesionales, técnicos, trabajadores forestales y pobladores del campo con conocimientos básicos de los términos usados en este documento para describir especies forestales, comprometidos con la regeneración de los bosques del trópico.
I Curso de capacitación en regeneración de bosques tropicales en la Amazonía peruana
(Instituto Nacional de Innovación Agraria - INIA, 1995) INIA. Programa Nacional de Investigación en Agroforestería y Cultivos Tropicales
La publicación muestra los avances y logros alcanzados por el Proyecto Regeneración de Bosques Tropicales en la Estación Experimental Pucallpa - Campo Experimental Forestal Alexander Von Humboldt.
Landsat images and GIS techniques as key tools for historical analysis of landscape change and fragmentation
(Elsevier, 2024-07-28) Gómez Fernández, Darwin; Salas López, Rolando; Zabaleta Santisteban, Jhon A.; Medina Medina, Angel J.; Goñas Goñas, Malluri; Silva López, Jhonsy O.; Oliva Cruz, Manuel; Rojas Briceño, Nilton B.
Monitoring and evaluation of landscape fragmentation is important in numerous research areas, such as natural resource protection and management, sustainable development, and climate change. One of the main challenges in image classification is the intricate selection of parameters, as the optimal combination significantly affects the accuracy and reliability of the final results. This research aimed to analyze landscape change and fragmentation in northwestern Peru. We utilized accurate land cover and land use (LULC) maps derived from Landsat imagery using Google Earth Engine (GEE) and ArcGIS software. For this, we identified the best dataset based on its highest overall accuracy, and kappa index; then we performed an analysis of variance (ANOVA) to assess the differences in accuracies among the datasets, finally, we obtained the LULC and fragmentation maps and analyzed them. We generated 31 datasets resulting from the combination of spectral bands, indices of vegetation, water, soil and clusters. Our analysis revealed that dataset 19, incorporating spectral bands along with water and soil indices, emerged as the optimal choice. Regarding the number of trees utilized in classification, we determined that using between 10 and 400 decision trees in Random Forest classification doesn't significantly affect overall accuracy or the Kappa index, but we observed a slight cumulative increase in accuracy metrics when using 100 decision trees. Additionally, between 1989 and 2023, the categories Artificial surfaces, Agricultural areas, and Scrub/ Herbaceous vegetation exhibit a positive rate of change, while the categories Forest and Open spaces with little or no vegetation display a decreasing trend. Consequently, the areas of patches and perforated have expanded in terms of area units, contributing to a reduction in forested areas (Core 3) due to fragmentation. As a result, forested areas smaller than 500 acres (Core 1 and 2) have increased. Finally, our research provides a methodological framework for image classification and assessment of landscape change and fragmentation, crucial information for decision makers in a current agricultural zone of northwestern Peru.
Manual de vivero forestal volante para la Amazonia peruana
(Instituto Nacional Forestal y de Fauna - INFOR, 1987) Chávez Rodríguez, Jorge; Huaya Panduro, Manuel
La publicación ha sido elaborada por el Proyecto de Capacitación y Divulgación Forestal (INFOR - COTESU) dentro del marco del CENFOR XII - Pucallpa. Es un material de consulta para las personas interesadas en la reposición del recurso bosque.
Methodology for the phenotypic evaluation in Guazuma crinita trees in Ucayali, Peru
(Universidade Federal de Santa Maria, 2024-02-20) Revilla Chávez, Jorge Manuel; López Galán, Edinson Eduardo; Gonzales Alvarado, Antony Cristhian; Sáenz Ramírez, Lyanna Hellen; Mori Vásquez, Jorge Arturo; Rojas Mego, Krystel Clarissa; Abanto Rodríguez, Carlos; Sebbenn, Alexandre Magno
The objective of this study was to present a methodological tool for the phenotypic evaluation in progeny tests of Guazuma crinita in producer plots of the Aguaytía river basin, Ucayali, Peru, which allows field technicians to standardize the morphological evaluation criteria of trees in forest plantations. Therefore, the phenotypic traits were evaluated for plant height (m), diameter at the height of the base (cm), number of branches, number of rings, stem form, branch orientation, presence and quantity of leaves. The heritability and genetic and phenotypic correlations between traits were also estimated. Therefore, 32 morphological categories were plotted based on the significant correlations (p≤ 0.05) shown between the place of planting, the stem form, the orientation of the branches and the presence of leaves. For the same reason, the progeny showed low morphological patterns, being a low factor of phenotypic variability. It is concluded that the correlations between the biometric and morphological traits evaluated, allowed to validate the phenotypic evaluation procedures of Guazuma crinita progeny tests at 36 months of age.
Rendimiento maderable de plantaciones forestales establecidos en cinco regiones de la Amazonía peruana
(INIA. Estación Experimental Agraria Pucallpa, 2016-12) Angulo Ruíz, Walter Enrique; Fasabi Pashanasi, Hilter
El objetivo del estudio es brindar información silvicultural con relación al rendimiento maderable de las plantaciones forestales establecidas en cinco regiones: Cerro de Pasco, Huánuco, Loreto, San Martín y Ucayali.
Report on the joint study project of performance trials for reforestation in the amazon area in the Republic of Peru
(Instituto Nacional de Investigación Agraria y Agroindustrial - INIAA, 1991-02) Agencia de Cooperación Internacional de Japón (JICA)
El presente documento tiene por objetivo establecer una tecnología de regeneración sistemática que conduzca al desarrollo en armonía con la conservación de las selvas tropicales amazónicas. Este es un informe final se coteja los resultados de una encuesta de campo realizada en los últimos ocho años.
Suelos de la amazonía peruana: su potencial de uso y de desarrollo
(Instituto Nacional de Investigación y Promoción Agropecuaria - INIPA, 1985) Benites, José R.
El presente documento muestra los conocimientos básicos de los suelos de la amazonia peruana, recalcando su potencial de uso y de desarrollo con el fin del manejo adecuado de los suelos del trópico.
Sustainability of livestock farms: The case of the district of Moyobamba, Peru
(Elsevier, 2023-01-21) Durand Chávez, Luz Marlene; Quispe Ccasa, Hurley Abel; Linares Rivera, Jaime Lizardo; Segura Portocarrero, Gleni Tatiana; Calderón Tito, René; Vásquez Pérez, Héctor Vladimir; Maicelo Quintana, Jorge Luis; Ampuero Trigoso, Gustavo; Robles Rodríguez, Rafael René; Saucedo Uriarte, José Américo
The Peruvian Amazon is a geographical area with great biodiversity, where the main economic activities are agricultural crops and grazing animals. The evaluation of sustainability in production systems is based on the analysis of economic, environmental and social components, which are variable between production units or livestock farms. The classification of livestock farms based on their characteristics of similarity and differences can contribute to the most appropriate assessment of their level of sustainability. The objective of this research was to determine the level of sustainability of livestock farms in the district of Moyobamba, San Martín, Peru, based on environmental, economic and social criteria. The research was carried out from November 2018 to February 2019 with a survey of a sample of 60 livestock farms out of a population of 2220. A survey-type form and data collection in the field were applied, adapting a methodology that proposes inferring on 33 indicators grouped into six criteria: three environmental criteria (soil quality, pasture health and animal quality), two economic criteria (farm system and farm economy), and a social criterion of the farm. A scale from 1 to 10 was used to assess the condition of each indicator. The typification of farms was carried out through a Conglomerate Analysis. To analyze the level of sustainability, Amoeba graphs were constructed for each defined farm group. Qualitative variables were analyzed with contingency tables and quantitative variables using the T test (p < 0.05). Three types of livestock farms were identified, differentiated by level of education, farm size, years in cattle raising and number of cattle heads (p < 0.05), where Group 1 is less experienced, Group 1 has more area and cattle, and Group 3 only have older years in livestock. There were significant differences between the evaluated criteria and the sustainability index. From the typification of livestock farms, Group 2 (13 farms) presented a higher level of sustainability as did Group 3 (16 farms), while Group 1 (31 farms).
The tropical soil research program
(Instituto Nacional de Investigación y Promoción Agropecuaria - INIPA, 1985) Instituto Nacional de Investigación y Promoción Agropecuaria - INIPA
The humid tropics cover about 10 percent of the worlds area. Currently, there is a great deal of concern about the use and management of these ecosystems. Indiscrimate deforestation and explorative forms of land use threaten the many valuable goods and services provided by tropical forests.