Production of Fodder in a Treeless System and in Silvopastoral System in Central Argentina

Plevich, José Omar; Gyenge, Javier; Delgado, Angel Ramon Sánchez; Tarico, Juan Carlos; Fiandino, Santiago Ignacio; Utello, Marco Jesús

doi:10.1590/2179-8087.051716

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…The silvopastoral system to be considered, named SPS-La Aguada, was represented in Figure 1. As said before, it is (in a certain way) a typology of the SPS developed in the establishment "La Aguada" (Córdoba-Argentina) and presented in PLEVICH, et. al., 2019.…”

Section: Methodsmentioning

confidence: 91%

Optimum Control of Grazing and Cattle Movement in the Silvopastoral Establishment "La Aguada" (Córdoba-Argentina)

Ventura

Delgado

Nascimento

et al. 2019

JAS

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Currently silvopastoral systems have been presented as a viable and sustainable alternative in economic, social and environmental terms. The objective of this work is to present an integer linear programming model (ILP), that numerically represents or simulates the optimal operating conditions of a silvopastoral system inspired by the typology of the rural establishment "La Aguada", an experimental agricultural and forestry center, belonging to the National University of Rio Cuarto and located in the province of Córdoba (Argentina). The model imposes conditions on the adequacy of the gain of the live weight of each animal of the herd considered in the system, as well as the optimal control of the areas of pasture and bovine movement. It is important to highlight that this is an attempt to mathematically model improvements in food production systems. Each ILP was solved using the INTLINPROG solver in MATLAB software. Thus, after the computational implementation, it was verified that the program meets all restrictions imposed, maximizes the gain of the live weight of each animal and optimizes the pasture area use, thus showing a consistent, balanced and recommended program for the economic controlling of a silvopastoral system in general.

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Section: Methodsmentioning

confidence: 91%

Optimum Control of Grazing and Cattle Movement in the Silvopastoral Establishment "La Aguada" (Córdoba-Argentina)

Ventura

Delgado

Nascimento

et al. 2019

JAS

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“…(Kretzer, 2019;Deniz et al, 2019). Plevich et al, (2019) observaram os efeitos negativos na massa do dossel na área próxima ou sob as árvores nos SSPs. A importância desses processos dependerá da interação entre as limitações abióticas do local e a plasticidade ecofisiológica das espécies cultivadas (Caballé, 2013).…”

Section: Massa Do Dossel Forrageiro Carbono E Nitrogênio Na Apn Aenunclassified

Estoques de carbono e nitrogênio no Sistema Silvipastoril com Núcleos: a nucleação aplicada viabilizando a pecuária de baixo carbono

Silva

Filho

Kazama

et al. 2020

RSD

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A agricultura tem se mostrado um dos principais emissores dos gases de efeito estufa (GEE). Grande parte dessa emissão está relacionada ao sistema de produção e/ou manejo inadequado. Este estudo avaliou os efeitos do Sistema Silvipastoril com Núcleos (SSPnúcleos) na massa do dossel forrageiro (pasture cover), e nos estoques de carbono e nitrogênio quando implantado em pastagens sem árvores (PSA). As variáveis foram mensuradas em três situações, duas áreas dentro do SSPnúcleos - área próximo dos núcleos (APN) e área ensolarada entre os núcleos (AEN), e pastagem sem árvores (PSA). A participação proporcional das variáveis das áreas APN (30%) e AEN (60%) em cada hectare de pastagem originou as variáveis do SSPnúcleos como um todo. O SSPnúcleos não afetou a massa do dossel forrageiro e os estoques de carbono e nitrogênio (p<0,05). AEN apresentou valores superiores de biomassa e estoque de carbono que a PSA. O SSPnúcleos manteve a massa do dossel e o estoque de carbono por hectare, mesmo em 90% da área, já que 10% são o interior dos núcleos. O SSPnúcleos tem potencial para mitigar a emissão dos GEE da pecuária convencional minimizando o impacto nas mudanças climáticas.

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“…The average slope in these units is around 10%, and the predominant soils are lithic, shallow (50 cm deep), excessively drained, and very stony Hapludols (Jarsún et al 2006). On the other hand, the topography of the PZ site corresponds to a rolling plain environment, where the average slope is around 2% and the predominant soils are deep, well drained, and sandy Haplustolls (Plevich et al 2019).…”

Section: Study Areamentioning

confidence: 99%

Modeling forest site productivity using climate data and topographic imagery in Pinus elliottii plantations of central Argentina

Fiandino

Plevich

Tarico

et al. 2020

Annals of Forest Science

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& Key message To be useful for silvicultural and forest management practices, the models of Site Index (SI) should be based on accessible predictor variables. In this study, we used spatially explicit data obtained from digital elevation models and climate data to develop SI prediction models with high local precision. & Context Predicting tree growth and yield is a key component to sustainable forest management and depends on accurate measures of site quality. & Aims The aim of this study was to develop both empirical models to predict site index (SI) from biophysical variables and a dynamic model of top height growth for plantations of Pinus elliottii Engelm. in Córdoba, Argentina. & Methods Site productivity described by SI was related to environmental characteristics, including topographic and climatic variables. Separate models were created from only topographic data and the combination of topographic and climate data. & Results Although SI can be adequately predicted through both types of models, the best results were obtained when combining topographic and climate variables (R 2 = 0.83, RMSE% = 7.02%, for the best-fitting model). The key factors affecting site productivity were the landscape position and the mean precipitation of the last 5 years before the reference age, both related to the amount of plant-available water in the soils. Furthermore, the top height growth models developed are fairly accurate, considering the proportion of variance explained (R 2 = 98%) and the precision of the estimates (RMSE % < 8%). & Conclusion The models developed here are likely to have considerable application in forestry, since they are based on accessible predictor variables, which make them useful for silvicultural and forest management practices, particularly for nonforest areas and for the young or uneven-aged stands.

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Production of Fodder in a Treeless System and in Silvopastoral System in Central Argentina

Cited by 7 publications

References 7 publications

Optimum Control of Grazing and Cattle Movement in the Silvopastoral Establishment "La Aguada" (Córdoba-Argentina)

Optimum Control of Grazing and Cattle Movement in the Silvopastoral Establishment "La Aguada" (Córdoba-Argentina)

Estoques de carbono e nitrogênio no Sistema Silvipastoril com Núcleos: a nucleação aplicada viabilizando a pecuária de baixo carbono

Modeling forest site productivity using climate data and topographic imagery in Pinus elliottii plantations of central Argentina

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