A5036304025- Agriculture Sustainability and Environmental Impact
- Rural Development and Agriculture
- Genetic and phenotypic traits in livestock
- Soil Management and Crop Yield
- Ruminant Nutrition and Digestive Physiology
- Sustainable Agricultural Systems Analysis
- Soil Carbon and Nitrogen Dynamics
- Agriculture and Rural Development Research
- Effects of Environmental Stressors on Livestock
- Agricultural Economics and Policy
- Crop Yield and Soil Fertility
- Agricultural and Food Sciences
- Growth and nutrition in plants
- Rangeland Management and Livestock Ecology
- Conservation, Biodiversity, and Resource Management
- Agroforestry and silvopastoral systems
- Pasture and Agricultural Systems
- Environmental Impact and Sustainability
- Economic and Environmental Valuation
- Reproductive Physiology in Livestock
- Reproductive Biology and Fertility
- Soil Geostatistics and Mapping
- Climate change impacts on agriculture
- Greenhouse Technology and Climate Control
- Heat Transfer Mechanisms
Brazilian Agricultural Research Corporation
2016-2025
University of Edinburgh
2024
Government of the United States of America
2022
Agricultural Research Corporation
2007-2015
Secretaria de Planejamento e Gestão
2010
Fundação de Amparo à Pesquisa do Estado de São Paulo
1999
Universidade de São Paulo
1999
Massey University
1997
Providing food and other products to a growing human population while safeguarding natural ecosystems the provision of their services is significant scientific, social political challenge. With demand likely double over next four decades, anthropization already driving climate change principal force behind species extinction, among environmental impacts. The sustainable intensification production on current agricultural lands has been suggested as key solution competition for land between...
Grassland degradation compromises the profitability of Brazilian livestock production, and pasture recovery is a promising strategy for sustainable intensification agriculture (SAI). Recovery increases carbon sequestration into soil can potentially avoid deforestation; thereby reducing emissions intensity (EI), but only at increased investment cost per unit area. We develop multi-period linear programming (LP) model grazing beef production planning to represent typical Cerrado stocking...
Agriculture in Brazil is booming. has the world’s second largest cattle herd and producer of soybeans, with production beef, bioethanol forecast to increase further. Questions remain, however, about how can reconcile increases agricultural protection its remaining natural vegetation. While high hopes have been placed on potential for intensification low-productivity ranching spare land other uses, productivity Amazon biome (29% Brazilian herd) remains stubbornly low, it not clear realize...
Brazil is the first developing country to provide an absolute emissions cut as its Nationally Determined Contribution (NDC), seeking reduce greenhouse gas (GHG) by 37% below 2005 levels 2025 and 43% 2030. The NDC also noteworthy in focussing on from deforestation control land use change. Agricultural intensification a key component of offer, potentially allowing make credible mitigation commitments that are aligned with national development strategy halting Amazon, increasing livestock...
Abstract Most deforested lands in Brazil are occupied by low-productivity cattle ranching. is the second biggest meat producer worldwide and projected to increase its agricultural output more than any other country. Biochar has been shown improve soil properties productivity when added degraded soils, but these effects context-dependent. The impact of biochar, fertilizer inoculant on forage grasses ( Brachiaria spp. Panicum spp.) was investigated from environmental socio-economic...
Mathematical models can be used to improve performance, reduce cost of production, and nutrient excretion by accounting for more the variation in predicting requirements feed utilization each unique production situation. classified into five or categories based on their nature behavior. Determining appropriate level aggregation equations is a major problem formulating models. The most critical step describe purpose model then determine mix empirical mechanistic representations physiological...
Carbon farming is a nature-based solution to capture atmospheric CO2 and store it as soil organic carbon (SOC). trading schemes (CFTS) incentivize farmers adopt these practices. Integral CFTS forecasting the SOC changes of individual projects, typically achieved using traditional multicompartmental models (mSCM), monitor total stocks. However, mSCM simulate unmeasurable compartments, leading overparameterization indeterminable partitioning among suggesting need for structural improvements....
Summary Climate change (CC) challenges food and climate through reduced crop yields increasing production risk. Regenerative agriculture (RA) emerged as a pivotal strategy for enhancing productivity soil organic carbon (SOC) sequestration, contributing to agriculture’s CC mitigation resilience. Nevertheless, expanding RA’s main is providing sufficient science-based decision support farmers other stakeholders. In this context, we present herein the largest public-private partnership in Brazil...
O objetivo deste trabalho foi identificar, quantificar e modelar atributos condicionantes do acúmulo de forragens no Brasil Central desenvolver modelos estimadores forragem potencial, com base em parâmetros climáticos. Uma estrutura banco dados modelada implementada para a inserção crescimento forrageiras. Foram inseridos primários experimentos cultivares gênero Cynodon, Panicum Urochloa. permitiu gerar listagens ordenadas das taxas médias (TMA), temperatura média, máxima, mínima (Tmín),...
Parte do nitrogênio (N) fertilizante aplicado à pastagem pode ser perdida sistema e, em pastagens tropicais, a volatilização de amônia (NH3) é uma das principais vias perda. Objetivou-se, com o presente estudo, estimar perda N-NH3 por Panicum maximum cv. Tanzânia adubada uréia durante verão. Adotou-se um delineamento inteiramente casualizado, medidas repetidas no tempo e três repetições. Nas parcelas, encontravam-se as doses N-uréia (40, 80 120 kg/ha N-uréia) nas subparcelas, período depois...
SUMMARY The dynamic model presented in the current paper estimates heat production and flow between growing mature cattle ( Bos indicus taurus ) surrounding environment. Heat was calculated using NRC (2000) flows animal environment were based largely on existing models physical principles. among body core, skin, coat calculated. from to included solar radiation, long wave convection evaporative loss. Physiological responses of (sweating, panting vasodilation) modelled through mechanistic...