| Autor: |
Giovanna Patricia Torres Jara de García, Luz Marlene Durand-Chávez, Hurley Abel Quispe-Ccasa, Jaime Lizardo Linares-Rivera, Gleni Tatiana Segura Portocarrero, René Calderón Tito, Héctor Vladimir Vásquez Pérez, Jorge Luis Maicelo Quintana, Gustavo Ampuero-Trigoso, Rafael René Robles Rodríguez, José Américo Saucedo-Uriarte |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Heliyon, Vol 9, Iss 2, Pp e13153- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2405-8440 |
| DOI: |
10.1016/j.heliyon.2023.e13153 |
| Popis: |
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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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