Banca de DEFESA: RAFAELA DE OLIVEIRA NUNES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : RAFAELA DE OLIVEIRA NUNES
DATE: 30/07/2021
TIME: 13:30
LOCAL: Webconferência via Google Meet - meet.google.com/mvv-avmg-kfb
TITLE:

GESCONF: real-time evaluation of the zootechnical performance of feedlot beef cattle.


KEY WORDS:

beacon, bubble, nutrition, modeling, python.


PAGES: 45
BIG AREA: Ciências Agrárias
AREA: Zootecnia
SUMMARY:

The development of mathematical models aiming to predict the growth curve of cattle in feedlots, based on behavioral monitoring, can reduce the time and risks of adopting new diets and allow estimating the result of zootechnical performance, as well as predicting the time to exit ideal for slaughter. The objective of this dissertation was to develop an automated system for real-time evaluation of the zootechnical performance of feedlot beef cattle. The project was developed at the Instituto Federal Catarinense, Campus Araquari, Santa Catarina. Twelve castrated male bovines with an average weight of 342 kg, crossbred European breeds were confined in a closed shed. All were weighed at entry and three of them identified in the ear with a beacon before entering the confinement, during the process, they received two different diets (fattening and finishing), in addition to the transition diets. One of the cattle remained in an individual pen, where the ration was weighed before supply, as well as the leftovers present in the trough, every 15 days the animal in the individual pen was weighed and randomly changed. The trough was placed on a bench scale with Bluetooth, allowing to monitor the consumption of the diet. A raspberry microcomputer that identified the animal and quantified the frequency with which it went to the trough was installed beside the drinking fountain. Python language was used to develop the information collection system, Google Drive platforms to store data and Bubble.io to create the dashboard. Two intermediate weighings, in addition to the confinement entry and exit, were performed. At the end of the experimental period (animal slaughter), the measured weights were correlated with the weights estimated by the model with the aid of the JMP statistical program, version 15, whose adopted significance level was 5%. The output live weight for slaughter is 459.4 kg. The average daily weight gain of the flock throughout the period was 1,266 kg/day. After slaughter, the averages for hot carcass weight and hot carcass yield were 242 kg and 52.7% respectively. For PCQ weight the values ranged from 199.2 kg to 308.4 kg, and for RC they ranged between 51.1% and 55.7%. The mathematical models that best simulated the performance of confined cattle were: linear, quadratic, logistic 3P, Gompertz 3P, exponential 2P, exponential 3P and Growth. The application presented the information in the form of a dashboard, showing the zootechnical performance, date of slaughter and suggests animals that have a problem, need to check their sanitary condition. This tool is ready to be used commercially to track animal performance.


BANKING MEMBERS:
Presidente - 1760760 - CARLOS EDUARDO NOGUEIRA MARTINS
Interna - 1085177 - VANESSA PERIPOLLI
Externo à Instituição - RICARDO KAZAMA - UFSC
Notícia cadastrada em: 28/06/2021 12:54
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