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Fabyano Fonseca E Silva

Explore the profile of Fabyano Fonseca E Silva including associated specialties, affiliations and a list of published articles. Areas
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Articles 51
Citations 256
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Recent Articles
1.
Bussiman F, Richter J, Hidalgo J, Silva F, Ventura R, Carvalho R, et al.
J Anim Breed Genet . 2024 Dec; PMID: 39698947
Gait visual scores are widely applied to horse breeding because they are a fast and easy phenotyping strategy, allowing the numeric interpretation of a complex biological process such as gait...
2.
Pucetti P, Valadares Filho S, Valente Roque J, da Silva J, de Oliveira K, Silva F, et al.
PLoS One . 2024 Apr; 19(4):e0296447. PMID: 38635552
The aim of this study was to develop and validate regression models to predict the chemical composition and ruminal degradation parameters of corn silage by near-infrared spectroscopy (NIR). Ninety-four samples...
3.
Ramos P, de Oliveira Menezes G, da Silva D, Lourenco D, Santiago G, Torres Junior R, et al.
J Anim Breed Genet . 2023 Dec; 141(3):291-303. PMID: 38062881
Feed efficiency plays a major role in the overall profitability and sustainability of the beef cattle industry, as it is directly related to the reduction of the animal demand for...
4.
Agarussi M, Pereira O, Pimentel F, Azevedo C, da Silva V, Silva F
Sci Rep . 2022 Oct; 12(1):16864. PMID: 36207495
Due to the co-evolved intricate relationships and mutual influence between changes in the microbiome and silage fermentation quality, we explored the effects of Lactobacillus plantarum and Propionibacterium acidipropionici (Inoc1) or...
5.
Paiva J, Mota R, Lopes P, Hammami H, Vanderick S, Oliveira H, et al.
J Dairy Res . 2022 Sep; :1-9. PMID: 36062502
The aims of this study were to: (1) estimate genetic correlation for milk production traits (milk, fat and protein yields and fat and protein contents) and fatty acids (FA: C16:0,...
6.
Junqueira V, Lourenco D, Masuda Y, Cardoso F, Lopes P, Silva F, et al.
J Anim Sci . 2022 Mar; 100(5). PMID: 35289906
Efficient computing techniques allow the estimation of variance components for virtually any traditional dataset. When genomic information is available, variance components can be estimated using genomic REML (GREML). If only...
7.
Ladeira G, Pilonetto F, Fernandes A, Boscollo P, Dauria B, Titto C, et al.
J Anim Breed Genet . 2022 Feb; 139(4):476-487. PMID: 35218589
Copy number variations (CNV) are an important source of genetic variation. CNV has been increasingly studied and frequently associated with diseases and productive traits in livestock animals. However, CNV-based genome-wide...
8.
Paiva J, Mota R, Lopes P, Hammami H, Vanderick S, Oliveira H, et al.
J Anim Breed Genet . 2022 Feb; 139(4):398-413. PMID: 35201644
We investigated the use of different Legendre polynomial orders to estimate genetic parameters for milk production and fatty acid (FA) traits in the first lactation Walloon Holstein cows. The data...
9.
Carrara E, Peixoto M, Veroneze R, Silva F, Ramos P, Bruneli F, et al.
Anim Biosci . 2022 Jan; 35(7):955-963. PMID: 34991209
Objective: The aim of this study was to estimate genetic parameters for 305-day cumulative milk yield and components, growth, and reproductive traits in Guzerá cattle. Methods: The evaluated traits were...
10.
Torres L, de Oliveira E, Ogbonna A, Bauchet G, Mueller L, Azevedo C, et al.
Front Plant Sci . 2021 Dec; 12:742638. PMID: 34956254
Genomic prediction (GP) offers great opportunities for accelerated genetic gains by optimizing the breeding pipeline. One of the key factors to be considered is how the training populations (TP) are...