Towards a productive model for the Sacha Inchi value chain: A scientometric approach
Descripción del Articulo
The diversification of agricultural and livestock production matrixes has the potential to generate value-added products in industrial and promising crops. Specifically, the countries in the Amazon basin have in the Sacha Inchi (Plukenetia volubilis L.) a species oriented toward market niches such a...
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2023 |
| Institución: | Universidad Nacional de Trujillo |
| Repositorio: | Revistas - Universidad Nacional de Trujillo |
| Lenguaje: | inglés |
| OAI Identifier: | oai:ojs.revistas.unitru.edu.pe:article/5551 |
| Enlace del recurso: | https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551 |
| Nivel de acceso: | acceso abierto |
| Materia: | Plukenetia Volubilis L scientific intelligence scientometrics industrial crops added value productive model Technological surveillance |
| id |
REVUNITRU_86aba287ab0116a0139ef5935e4a4458 |
|---|---|
| oai_identifier_str |
oai:ojs.revistas.unitru.edu.pe:article/5551 |
| network_acronym_str |
REVUNITRU |
| network_name_str |
Revistas - Universidad Nacional de Trujillo |
| repository_id_str |
|
| spelling |
Towards a productive model for the Sacha Inchi value chain: A scientometric approachFlórez-Martínez, Diego HernandoAmado-Saavedra, Gina Marcela Flórez-Tuta, Natalia Barragán-Quijano, Eduardo Morales-Castañeda, Alexis Plukenetia Volubilis Lscientific intelligencescientometricsindustrial cropsadded valueproductive modelTechnological surveillanceThe diversification of agricultural and livestock production matrixes has the potential to generate value-added products in industrial and promising crops. Specifically, the countries in the Amazon basin have in the Sacha Inchi (Plukenetia volubilis L.) a species oriented toward market niches such as food, oils, cosmetics, pharmaceuticals, and biofuels, whose exploitation and use are aligned with the bioeconomy and circular economy megatrends. The aim of this publication was to identify and analyze the evolution of scientific and technological research in the Sacha Inchi value chain worldwide, based on a methodological design that combines technological intelligence, the analysis of scientific landscapes and bibliometric indicators and content analysis, to establish a baseline for the identification of key elements for the design of an agro-industrial production model. The methodology includes the integration of surveillance and scientific intelligence methods, scientometrics, and critical analysis of key documents selected through bibliometric indicators and expert judgment. The analysis made it possible to identify the research development lines in Sacha Inchi worldwide, and the reference documents that comprise key elements of the activities from cultivation to processing of the product obtained. The basic investigations identified will contribute to the development of productive models of Sacha Inchi in Colombia, where technical aspects must be adapted or validated in suitable agroecological zones or with productive potential to improve the yield and quality of seed for agroindustry. Medium-term research is required to genetically identify the planting material, to facilitate the selection of materials oriented to the production of fruits with the quality required by the agroindustry.Universidad Nacional de Trujillo2023-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551Scientia Agropecuaria; Vol. 14 Núm. 4 (2023): Octubre-Diciembre; 549-569Scientia Agropecuaria; Vol. 14 No. 4 (2023): Octubre-Diciembre; 549-5692306-67412077-9917reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUenghttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551/5837https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551/5839Derechos de autor 2023 Scientia Agropecuariahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/55512023-11-14T19:44:43Z |
| dc.title.none.fl_str_mv |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach |
| title |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach |
| spellingShingle |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach Flórez-Martínez, Diego Hernando Plukenetia Volubilis L scientific intelligence scientometrics industrial crops added value productive model Technological surveillance |
| title_short |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach |
| title_full |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach |
| title_fullStr |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach |
| title_full_unstemmed |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach |
| title_sort |
Towards a productive model for the Sacha Inchi value chain: A scientometric approach |
| dc.creator.none.fl_str_mv |
Flórez-Martínez, Diego Hernando Amado-Saavedra, Gina Marcela Flórez-Tuta, Natalia Barragán-Quijano, Eduardo Morales-Castañeda, Alexis |
| author |
Flórez-Martínez, Diego Hernando |
| author_facet |
Flórez-Martínez, Diego Hernando Amado-Saavedra, Gina Marcela Flórez-Tuta, Natalia Barragán-Quijano, Eduardo Morales-Castañeda, Alexis |
| author_role |
author |
| author2 |
Amado-Saavedra, Gina Marcela Flórez-Tuta, Natalia Barragán-Quijano, Eduardo Morales-Castañeda, Alexis |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Plukenetia Volubilis L scientific intelligence scientometrics industrial crops added value productive model Technological surveillance |
| topic |
Plukenetia Volubilis L scientific intelligence scientometrics industrial crops added value productive model Technological surveillance |
| description |
The diversification of agricultural and livestock production matrixes has the potential to generate value-added products in industrial and promising crops. Specifically, the countries in the Amazon basin have in the Sacha Inchi (Plukenetia volubilis L.) a species oriented toward market niches such as food, oils, cosmetics, pharmaceuticals, and biofuels, whose exploitation and use are aligned with the bioeconomy and circular economy megatrends. The aim of this publication was to identify and analyze the evolution of scientific and technological research in the Sacha Inchi value chain worldwide, based on a methodological design that combines technological intelligence, the analysis of scientific landscapes and bibliometric indicators and content analysis, to establish a baseline for the identification of key elements for the design of an agro-industrial production model. The methodology includes the integration of surveillance and scientific intelligence methods, scientometrics, and critical analysis of key documents selected through bibliometric indicators and expert judgment. The analysis made it possible to identify the research development lines in Sacha Inchi worldwide, and the reference documents that comprise key elements of the activities from cultivation to processing of the product obtained. The basic investigations identified will contribute to the development of productive models of Sacha Inchi in Colombia, where technical aspects must be adapted or validated in suitable agroecological zones or with productive potential to improve the yield and quality of seed for agroindustry. Medium-term research is required to genetically identify the planting material, to facilitate the selection of materials oriented to the production of fruits with the quality required by the agroindustry. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023-12-16 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551 |
| url |
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551/5837 https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5551/5839 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2023 Scientia Agropecuaria https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2023 Scientia Agropecuaria https://creativecommons.org/licenses/by-nc/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad Nacional de Trujillo |
| publisher.none.fl_str_mv |
Universidad Nacional de Trujillo |
| dc.source.none.fl_str_mv |
Scientia Agropecuaria; Vol. 14 Núm. 4 (2023): Octubre-Diciembre; 549-569 Scientia Agropecuaria; Vol. 14 No. 4 (2023): Octubre-Diciembre; 549-569 2306-6741 2077-9917 reponame:Revistas - Universidad Nacional de Trujillo instname:Universidad Nacional de Trujillo instacron:UNITRU |
| instname_str |
Universidad Nacional de Trujillo |
| instacron_str |
UNITRU |
| institution |
UNITRU |
| reponame_str |
Revistas - Universidad Nacional de Trujillo |
| collection |
Revistas - Universidad Nacional de Trujillo |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1846521098141696000 |
| score |
13.057984 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).