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
Universidad Católica Sede Sapientiae, Nueva Cajamarca, San Martín, 22845, Peru.
Estación Experimental Agraria El Porvenir del Instituto Nacional de Innovación Agraria - INIA, Juan Guerra, San Martín, 22400, Peru.
Heliyon. 2023 Jan 21;9(2):e13153. doi: 10.1016/j.heliyon.2023.e13153. eCollection 2023 Feb.
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).
秘鲁亚马逊地区是一个生物多样性极高的地理区域,其主要经济活动为农作物种植和畜牧养殖。生产系统可持续性的评估基于对经济、环境和社会组成部分的分析,这些组成部分在不同生产单位或畜牧场之间存在差异。根据畜牧场的异同特征进行分类,有助于对其可持续性水平进行最恰当的评估。本研究的目的是基于环境、经济和社会标准,确定秘鲁圣马丁省莫约班巴区畜牧场的可持续性水平。该研究于2018年11月至2019年2月进行,从2220个畜牧场的总体中抽取了60个畜牧场作为样本进行调查。采用了一种调查式表格并在实地进行数据收集,采用了一种方法,该方法建议对33个指标进行推断,这些指标分为六个标准:三个环境标准(土壤质量、牧场健康和动物质量)、两个经济标准(农场系统和农场经济)以及一个农场社会标准。使用1到10的量表来评估每个指标的状况。通过聚类分析对农场进行类型划分。为分析可持续性水平,为每个定义的农场组构建了阿米巴图。使用列联表分析定性变量,使用T检验(p<0.05)分析定量变量。确定了三种类型的畜牧场,它们在教育水平、农场规模、养牛年限和牛头数量方面存在差异(p<0.05),其中第1组经验较少,第2组面积和牛的数量更多,第3组仅养牛年限更长。评估标准与可持续性指数之间存在显著差异。从畜牧场的类型划分来看,第2组(13个农场)和第3组(16个农场)呈现出较高的可持续性水平,而第1组(31个农场)呈现出不可持续的状况。莫约班巴区所有农场基于动物质量和农场系统的环境指标都显示出不可持续性,因为它们未超过可持续性阈值(5)。