Banca de QUALIFICAÇÃO: SANDRA DE SOUSA BARCELOS

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : SANDRA DE SOUSA BARCELOS
DATE: 30/08/2021
TIME: 15:00
LOCAL: UFRA Parauapebas
TITLE:

META-ANALYTICAL APPROACH IN RUMINANT PRODUCTION STUDIES


KEY WORDS:

Bovine. Database. Modeling. Nutrition. Ovine. 


PAGES: 60
BIG AREA: Ciências Agrárias
AREA: Zootecnia
SUBÁREA: Nutrição e Alimentação Animal
SPECIALTY: Exigências Nutricionais dos Animais
SUMMARY:

Meta-analysis has been used because it is a technique that employs scientific objectives and methods based on statistics to synthesize and quantify the knowledge acquired through research with a common objective. Given the need to optimize the use of financial resources in studies of ruminant nutrition, which are laborious and expensive, it is possible to develop work with the database of a research group that has already carried out several experiments with similar objectives. Or even search the search database for studies that have the same theme and extract results using a meta-analytic approach. Thus, the present thesis is composed of two chapters. The article presented in the first chapter aimed to develop multiple regression equations to predict the chemical composition of the body and carcass of castrated male sheep using the chemical composition of body parts, carcass measurements, and fasting body weight as regressors, through a meta-analytic approach using data from two experiments. This study showed for the first time that the combination of the chemical composition of body parts, carcass measurements and fasting body weight in a multiple regression equation can predict body and carcass composition (water, ash, fat, and protein) of castrated sheep males. The developed equations can help in experiments on the nutritional requirement of hairless sheep, reducing economic costs in body chemical analyses. Furthermore, they can be useful for the sheep meat industry to assess the nutritional quality of the carcass. The second chapter presents an article formatted in the Livestock Science standards, it is a meta-analysis, which used a database from published works, with the objective of (1) identifying the gaps in knowledge in the scientific literature involving studies on gestational nutrition of beef cattle; (2) provide solid information about factors that can affect progeny performance; and also (3) quantify the effects of metabolizable energy (ME) and protein (PM) levels on the average daily weight gain of beef cows during gestation. It was found that the cow's body weight and diet during pregnancy influenced birth weight, diet during pregnancy, and birth weight influenced the average daily gain in the calving stage. In addition, diet during pregnancy, birth weight, and sex are factors that influence the weaning weight of the offspring. Regardless of the challenges, it was concluded that this research provides a comparison between fetal programming studies and should contribute to the design and focus of future studies.


BANKING MEMBERS:
Presidente - 1894011 - RAFAEL MEZZOMO
Interna - 1354679 - KALIANDRA SOUZA ALVES
Externo à Instituição - DIEGO ZANETTI
Externo à Instituição - TADEU EDER DA SILVA
Externo à Instituição - JULIÁN ANDRÉS CASTILLO VARGAS - UFRA
Externo à Instituição - JOÃO PAULO PACHECO RODRIGUES - UNIFESSPA
Externo à Instituição - MARCIO DE SOUZA DUARTE - UFV
Notícia cadastrada em: 27/08/2021 15:23
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