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Evaluation of growth and beef quality traits in lineages and representative Nellore sires, using ultrasound, video image analysis and NIRS measurements

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Author(s):
Marina de Nadai Bonin
Total Authors: 1
Document type: Doctoral Thesis
Press: Pirassununga.
Institution: Universidade de São Paulo (USP). Faculdade de Zootecnica e Engenharia de Alimentos (FZE/BT)
Defense date:
Examining board members:
José Bento Sterman Ferraz; André Mendes Jorge; Antonio do Nascimento Rosa; Saulo da Luz e Silva; Jaime Urdapilleta Tarouco
Advisor: José Bento Sterman Ferraz
Abstract

The objective of this study was to evaluate the differences of growth, carcass composition and beef quality traits among lineages and representative Nellore sires, using new technologies to collect data and estimate genetic and phenotypic parameters. Data on growth, carcass and meat quality traits of Nellore bulls, raised in pastures and included in genetic evaluation programs were analyzed. Individual information on live ultrasound carcass measurements and frame were, also, collected. After slaughter, carcass, beef quality traits and video image analysis (VIA) of muscle Longissimus were obtained for estimation of beef quality attributes like tenderness, cooking losses, intramuscular fat and pH. Evaluations with Near Infrared Spectroscopy (VIS-NIRS) were made to quantify tenderness and lipid in Longissimus muscle. Genetic parameters were estimated for all traits analyzed in this study. Traits like performance, frame, ultrasound carcass evaluation and meat quality were used to compare lineages and representative Nellore sires. This research provide precious information to development of auxiliary tools for genetic improvement of growth, carcass and meat quality traits in Nellore herds, and provide important information about variability and genetic value of founders and representative sires of this breed. (AU)

FAPESP's process: 09/01357-4 - Evaluation of growth and beef quality traits in lineages and representative Nelore sires, using ultrasound, video image and NIRS measurements.
Grantee:Marina de Nadai Bonin
Support Opportunities: Scholarships in Brazil - Doctorate