Yasmin Goncalves da Silva de Souza

Zootecnista graduada pela Universidade Federal da Grande Dourados. Atuou como bolsista pelo Programa de Educação Tutorial- (PET Zootecnia UFGD) (2018-2022). Bolsista em Iniciação Científica pelo Núcleo de Estudos em Nutrição e Produção de Ruminantes (2022-2023). Bolsista FUNDECT pelo Projeto de Pesquisa intitulado Quitosana e Líquido da casca da castanha de caju, como aditivos para bovinos (2023). Mestranda em Zootecnia pela Universidade Federal da Grande Dourados, com linha de pesquisa em nutrição de bovinos de corte (2026-atualmente).

EDUCATION

Zootecnia pela Universidade Federal da Grande Dourados

RESEARCH, TEACHING, or OTHER INTERESTS

Animal Science and Zoology, Agronomy and Crop Science, General Agricultural and Biological Sciences, Food Science

Scopus Publications

1H-Nuclear Magnetic Resonance Metabolic Profiling of Pantaneiro and Curraleiro Beef Breeds: Unveiling Adaptation Mechanisms in Brazilian Livestock
Eduardo Solano Pina dos Santos, Vinicius Laerte Silva Herreira, Ana Laura dos Santos Munhoz Gôngora, Gabriel Henrique Ribeiro, Luiz Alberto Colnago, et al.
New Zealand Journal of Agricultural Research, 2026
This study provides the first metabolomic characterization of serum from Pantaneiro and Curraleiro beef cattle, unveiling their unique adaptations to the Pantanal and Cerrado biomes of Brazil. Blood was collected during the summer season to capture metabolic responses to extreme environmental conditions, including high temperatures and varying humidity. Metabolomics on serum samples were analyzed using nuclear magnetic resonance ( 1 H‐NMR) spectroscopy; the spectra were processed using Chenomx NMR Suite software v.10. The processed data were analyzed using partial least squares discriminant analysis to identify key metabolites, separating the two breeds. Forty‐four metabolites were identified in serum samples collected from 27 animals (14 Pantaneiro in Pantanal Biome and 13 Curraleiro in Cerrado Biome), of which 33 exhibited significant differences between the breeds. Pantaneiro cattle exhibited elevated levels of betaine, 2‐hydroxybutyrate, and glycolate, indicative of adaptations to oxidative stress, osmoregulation, and metabolic efficiency under the humid and flood‐prone Pantanal biome. Conversely, Curraleiro cattle showed higher concentrations of valine, glutamate, acetate, and citrate, highlighting nutrient efficiency and energy metabolism, critical for survival in the nutrient‐poor and arid Cerrado biome. Elevated lactate levels in both breeds suggest shared adaptations to hypoxic or high‐energy demand conditions. This research reveals the biochemical underpinnings of the resilience of these breeds, providing additional knowledge about metabolic strategies for enhancing stress tolerance and productivity in extreme environments. The findings underscore the value of metabolomics for understanding livestock adaptation and contribute to the development of climate‐resilient livestock systems.
Chitosan associated with technical cashew nut shell liquid in supplements for grazing beef steers: nitrogen balance and rumen metabolism
Nayara Gonçalves Silva, Rafael Henrique Tonissi e Buschinelli de Goes, Raquel Tenório Oliveira, Jefferson Rodrigues Gandra, Nara Regina Brandão Cônsolo, et al.
New Zealand Journal of Agricultural Research, 2025
The aim of this study was to evaluate the inclusion of the chitosan (CHI) and technical cashew nutshell liquid (CNSLT) on nitrogen metabolism and ruminal fermentation on pasture system. Five steers (5 × 5 Latin square); kept of Marandu grass and supplemented daily by up to 0.4% BW. The experimental diets were: CON (mineral supplement); PRO (protein supplement); CHI supplementation; CNSLT supplementation and CC (CHI + CNSLT supplementation). Animals supplemented with CNSLT showed a reduction of pasture intake. The combination CC increased the intake of supplement. Steers supplemented with the combination of CNSLT, and CHI showed a higher supplement intake. The ruminal pH for the animals that received the combination of CNSLT and CHI, showed the lowest values. CHI decreased rumen acetate concentration, and increased propionate. Animals fed CC had a higher concentration of short‐chain fatty acids (SCFA) and a reduced value for purines. CNSLT increased the excretion of total purines, microbial nitrogen synthesis and crude protein. Animals that received CC showed higher urinary excretion of N compared to the other treatments. The CHI + CNSLT proved to be favourable, with a higher total concentration of SCFA and positive effect on nitrogen balance.
Preparation of ruminal fluid and serum samples from beef cattle for nuclear magnetic resonance based–metabolomics
Ingrid Fernanda Bernardes Matias, Eduardo Solano Pina Santos, João Marcos Bovetto de Campos Valim, Alex Castro, Antônio Gilberto Ferreira, et al.
New Zealand Journal of Agricultural Research, 2025
We evaluated different sample preparation methods for one‐dimensional proton nuclear magnetic resonance metabolomics analysis of beef cattle ruminal fluid and serum. After collecting and pooling samples from five bulls (all of which received the same diet and were subjected to the same management conditions), we prepared the samples with the following methods: metabolite extraction using methanol and chloroform (M + C); metabolite extraction using methanol, chloroform and acetone (M + C + A); filtering with a 3‐kDa filter; and filtering with a 2‐μm filter. We evaluated the methods based on the spectral quality, reproducibility, ease of processing, speed and relative cost. The use of 2‐μm filters did not produce good‐spectra quality for serum samples, but it was a promising method for ruminal fluid. The yields of metabolites were similar for the the solvent extractions (22 metabolites for ruminal fluid and 29 for serum samples), but lower compared with the filter methods (31 metabolites for ruminal fluid and 47 for serum samples). The filters resulted in a higher concentration of metabolites and better reproducibility. In conclusion, the 2‐μm and 3‐kDa filter methods represent a suitable way to prepare biological samples from beef cattle for nuclear magnetic resonance – based metabolomics.