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Sustainability of livestock farms: The case of the district of Moyobamba, Peru

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 betw...

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Autores principales: Torres Jara de García, Giovanna Patricia, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900507/
https://www.ncbi.nlm.nih.gov/pubmed/36755598
http://dx.doi.org/10.1016/j.heliyon.2023.e13153
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author Torres Jara de García, Giovanna Patricia
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
author_facet Torres Jara de García, Giovanna Patricia
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
author_sort Torres Jara de García, Giovanna Patricia
collection PubMed
description 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) presented unsustainable conditions. The environmental indicators based on animal quality and farm system show unsustainability in all farms the District of Moyobamba, as they fail to exceed the threshold of sustainability (5).
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spelling pubmed-99005072023-02-07 Sustainability of livestock farms: The case of the district of Moyobamba, Peru Torres Jara de García, Giovanna Patricia 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 Heliyon Research Article 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) presented unsustainable conditions. The environmental indicators based on animal quality and farm system show unsustainability in all farms the District of Moyobamba, as they fail to exceed the threshold of sustainability (5). Elsevier 2023-01-21 /pmc/articles/PMC9900507/ /pubmed/36755598 http://dx.doi.org/10.1016/j.heliyon.2023.e13153 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Torres Jara de García, Giovanna Patricia
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
Sustainability of livestock farms: The case of the district of Moyobamba, Peru
title Sustainability of livestock farms: The case of the district of Moyobamba, Peru
title_full Sustainability of livestock farms: The case of the district of Moyobamba, Peru
title_fullStr Sustainability of livestock farms: The case of the district of Moyobamba, Peru
title_full_unstemmed Sustainability of livestock farms: The case of the district of Moyobamba, Peru
title_short Sustainability of livestock farms: The case of the district of Moyobamba, Peru
title_sort sustainability of livestock farms: the case of the district of moyobamba, peru
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900507/
https://www.ncbi.nlm.nih.gov/pubmed/36755598
http://dx.doi.org/10.1016/j.heliyon.2023.e13153
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