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To mitigate the conflict between ecological restoration and the pursuit of economic benefits in characteristic agriculture within plateau regions, this study proposes a theoretical framework for supervising plateau-characteristic agroecological security (PCAES). Initially, characteristic agriculture is conceptualized as an artificial ecosystem resulting from the complex interactions between the ecological environment and specific agricultural resources in a given plateau region; thus, PCAES is defined as a sustainable developmental state of plateau-characteristic agriculture that ensures a high-quality resource supply without compromising ecological integrity. Subsequently, a theoretical framework of PCAES is constructed by analyzing supervisory subjects, objects, and their interrelationships, followed by an in-depth study from three different perspectives. At the foundational level, the monitoring and evaluation mechanism focuses on gathering data regarding resource composition and environmental conditions to assess ecological security. At the intermediate level, the early warning and decision-making mechanism aims at estimating potential ecological security issues and then designing and selecting optimal measures. At a higher level, the control and assurance mechanism directs stakeholders toward compliance with ecological safety regulations via resource allocation and macro-policy interventions while ensuring effective system operation. This study holds significant implications for advancing green development initiatives, enhancing agricultural scientific innovation, and promoting sustainable practices in plateau agriculture.
To mitigate the conflict between ecological restoration and the pursuit of economic benefits in characteristic agriculture within plateau regions, this study proposes a theoretical framework for supervising plateau-characteristic agroecological security (PCAES). Initially, characteristic agriculture is conceptualized as an artificial ecosystem resulting from the complex interactions between the ecological environment and specific agricultural resources in a given plateau region; thus, PCAES is defined as a sustainable developmental state of plateau-characteristic agriculture that ensures a high-quality resource supply without compromising ecological integrity. Subsequently, a theoretical framework of PCAES is constructed by analyzing supervisory subjects, objects, and their interrelationships, followed by an in-depth study from three different perspectives. At the foundational level, the monitoring and evaluation mechanism focuses on gathering data regarding resource composition and environmental conditions to assess ecological security. At the intermediate level, the early warning and decision-making mechanism aims at estimating potential ecological security issues and then designing and selecting optimal measures. At a higher level, the control and assurance mechanism directs stakeholders toward compliance with ecological safety regulations via resource allocation and macro-policy interventions while ensuring effective system operation. This study holds significant implications for advancing green development initiatives, enhancing agricultural scientific innovation, and promoting sustainable practices in plateau agriculture.
El presente trabajo de investigación busca determinar el nivel de gallinaza, en que se puede obtener un mayor rendimiento agronómico y mejor calidad nutricional del pasto mombasa. Se utilizó un diseño de bloques completamente al azar, en el que se hicieron cuatro grupos con cuatro repeticiones por grupo, a cada grupo adiciona una cantidad de gallinaza: Grupo 1, con 7Tm/Ha; Grupo 2, con 6 Tm/Ha; Grupo 3, con 5 Tm/Ha; Grupo 4, o control, con 0 Tm/Ha. Las variables de campo estudiadas fueron altura de la planta, ancho de hoja, peso de tallo, área de raíz, biomasa, las variables de laboratorio estudiadas fueron, Proteína cruda, Fibra detergente neutra (FDN), Fibra detergente acida (FDA), Lignina, Materia Seca (MS), Digestibilidad in-vitro de MS, Extracto Etéreo (EE) y determinación de Ceniza. El análisis estadístico se realizó con la prueba ANOVA. Finalmente, en este trabajo al grupo que se administró mayor cantidad de gallinaza Grupo 1, presentó mayores rendimiento en las variables: Ancho de hoja 7 Tm/ Ha con 1,51 ± 0,09 cm, Peso de hoja 7 Tm/ Ha con 1,90 ± 1,46 g, Peso de tallo 7 Tm/ Ha con 4,11 ± 1,04 g, Biomasa 6 Tm/Ha con 1993± 529,79 Kg, Materia seca 7 Tm/Ha con 21,71± 0,8 %, con Proteína cruda 7 Tm/ Ha con 3,04%, Fibra detergente acida 7 Tm/Ha con 65,94± 1,37, Lignina 7 Tm/Ha con 14,15± 0,64 (menor).
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