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Family livestock systems based on meat production in natural pastures constitute the majority of cattle farmers and rural populations of Uruguay and Entre Ríos (Argentina). The high levels of stocking rate and/or the absence of spatial-temporal management cause overgrazing and poor spatial distribution, which, in combination with climatic variation, contribute to low levels of consumption, energy balance and percentage and weight at calf weaning. These production models with limited animal production and few contributions to ecosystem services are highly vulnerable to climatic and economic changes, which limits the economic result, positive interactions of producers with the commercial sector and the entire meat chain, and conditions the sustainability of family farming.
This project proposed to develop a support system for decisions on grazing management that allows coupling economy and environment at farm and landscape scale. The main hypothesis proposes that it is possible to improve the management of the pasture stocking rate in order to couple the increase of the physical-economic income and environmental performance. This will contribute to solving the problems of grazing distribution and environmental performance, improve economic income and reduce the vulnerability of family livestock producers in the study region.
A new conceptual model of natural field management at the farm and landscape scale will be formalized based on an interdisciplinary and inter-institutional innovation platform to model the relationships between grazing intensity, secondary production, economic results, biodiversity and environmental performance of family farmers in Uruguay and Argentina. Empirical models will be developed on the effect of forage supply on energy consumption, animal movement, forage species, methane production, water balance and biodiversity. These results will be incorporated into simulation models of the plant-animal relationship and will be used in the redesign and co-innovation of properties.
This project actively contributes to achieving the Sustainable Development Goals, promoting more equitable, resilient, and sustainable regional development.






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Alfredo Albín Ferreira

Pablo Miguel Soca Peña

Pablo Tittonell
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Sonia Beatriz Canavelli

Ignacio Narbondo
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Milena Holmgren

Lucrecia Lezana

Ana Beatriz Wingeyer
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Roxana Paola Eclesia
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Noelia Cecilia Calamari
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Alejandra Cecilia Kemerer

Marcelo Germán Wilson

Carolina Gregorutti

Octavio Caviglia
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Maria Elena Zaccagnini
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Maria Paula Barral

Laura Echarte

Patricia Ricci
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Juan Esteban Fonseca

Carlos Schumacher

Gabriela Posse

Andrea Goijman

Yanina Vanesa Sica

Oscar Blumetto
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Veronica Aguerre Antía

Gerónimo Cardozo Cabanelas

Santiago Scarlato García

Martín Durante
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