Efeito da automatização nas diferentes estações do ano sobre os parâmetros de desempenho, rendimento e qualidade da carne de frangos de corte

Souza, Vera Lúcia Ferreira de; Buranelo, Giancarlos Salvador; Gasparino, Eliane; Cardozo, Rejane Machado; Barbosa, Maria José Baptista

doi:10.4025/actascianimsci.v32i2.7241

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…In the present study, the mean weight of the flocks in summer and spring were higher than those in autumn and winter, probably due to failures in controlling the internal environment of sheds in the three rearing systems (CV, TS, and DH). Souza et al (2010) evaluated flocks of broilers in Southern Brazil and found an effect of seasons on the performance of 43-day-old broilers, being the lowest during spring. During winter, birds need to consume energy to maintain its thermoneutral temperature, justifying the high feed conversion.…”

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confidence: 99%

Broiler carcass condemnation pattern during processing

et al. 2019

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This study aimed to identify the influence of climate pattern and rearing conditions on broiler carcass condemnations observed during processing. We evaluated the registered data of 2015 from the federal inspection files in all broiler slaughterhouses located in the state of Mato Grosso do Sul, Midwestern Brazil. The percentages of condemnations by airsacculitis, cellulitis, dermatosis, ascites syndrome, total carcass condemnations, and average broiler weight at 42 days were analyzed. Data were associated with housing systems and season of the year in which each flock was reared. Two-way ANOVA was applied to the data in a completely randomized design 4×3 (four seasons and three houses) and compared by Tukey's test. The results indicated that the housing system did not affect the studied condemnations, and seasons of the year did not change condemnation by airsacculitis; however, the other pathologies leading to carcass condemnations were affected by season. Condemnations by cellulite were higher during summer than in winter. For dermatosis, the maximum index appears during summer and the lowest during winter and spring. The ascites syndrome presented the smallest index in summer and winter, and the minimum value was found in spring. The average bird weight was higher in autumn than in winter and spring. Type of broiler rearing did not affect the carcass condemnation index. Summer was the most detrimental period regarding the condemnation rates for the pathologies studied, mainly cellulitis and dermatosis, while the highest average weight of birds was found during autumn and spring.

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confidence: 99%

Broiler carcass condemnation pattern during processing

et al. 2019

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“…In studies by Souza et al (2010) non-automated sheds and during winter and spring, birds presented better performance. Furtado et al (2010), analyzing two sheds (ceramic tile and another with fiber cement tile) did not observe a significant difference between the mean values of the variables live weight, daily weight gain, feed conversion and mortality rate in the two systems analyzed.…”

Section: Discussionmentioning

confidence: 92%

Factors that Influence the Production, Environment, and Welfare of Broiler Chicken: A Systematic Review

Baracho¹,

Nääs²,

Betin³

et al. 2018

Braz. J. Poult. Sci.

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The objective of the present study was to characterize the scientific production regarding the factors that influence broiler chicken production, and that were published from 2000 to 2015 in journals indexed in the database of Google Scholar, Scielo, and ScienceDirect. The research was done in the Thermal Comfort Laboratory at FEAGRI-UNICAMP, and the concept of the systematic review was applied. The research criterion was initially defined (the keywords) aiming to identify and evaluate the variables that describe the experimental characteristics and the animals. The primary keywords identified were: broiler chicken from commercial strains, broiler production, rearing conditions, thermal environment, air quality, acoustic environment, light intensity, management, and heat stress. Those were the key words searched in the database of the online libraries. The selected articles were registered into an electronic spreadsheet with the title, the name of the authors, year of publication, language, the journal where it was published, the keyword, the period when the research was done, source/ database, and the abstract. A total of 167 articles were selected, and only 34 were added to the review. The use of the systematic review of the literature allowed identifying the main variables that positively influence the broiler performance, such as the temperature near the thermal comfort, the use of roof lining, besides the use of adiabatic cooling and cast bricks in the laterals. The presence of positive ventilation, as well as the use of yellow curtains and constant lighting, has also influenced a better performance to broilers.

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“…The advised dry-bulb temperature for broilers in an initial stage inside the house is between 32.0 and 35.0 • C, decreasing 1.0 • C every two days until it reaches 24.0 • C [3,7,8]. For the third week (21 days), the temperature should be near 23.0 ± 2.0 • C [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Heuristic and Data Mining Model for Predicting Broiler House Environment Suitability

Martı́nez

Nääs

Carvalho-Curi³

et al. 2021

Animals

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The proper combination of environment and flock-based variables plays a critical role in broiler production. However, the housing environment control is mainly focused on temperature monitoring during the broiler growth process. The present study developed a novel predictive model to predict the broiler (Gallus gallus domesticus) rearing conditions’ suitability using a data-mining process centered on flock-based and environmental variables. Data were recorded inside four commercial controlled environment broiler houses. The data analysis was conducted in three steps. First, we performed an exploratory and descriptive analysis of the environmental data. In the second step, we labeled the target variable that led to a specific broiler-rearing scenario depending on the age of the birds, the environmental dry-bulb temperature and relative humidity, the ammonia concentration, and the ventilation rate. The output (final rearing condition) was discretized into four categories (‘Excellent’, ‘Good’, ‘Moderate’, and ‘Inappropriate’). In the third step, we used the dataset to develop tree models using the data-mining process. The random-tree model only presented accuracy for predicting the ‘Excellent’ and ‘Moderate’ rearing conditions. The decision-tree model had high accuracy and indicated that broiler age, relative humidity, and ammonia concentration play a critical role in proper rearing conditions. Using a large amount of data allows the data-mining approach to building up ‘if–then’ rules that indicate suitable environmental control decision-making by broiler farmers.

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Efeito da automatização nas diferentes estações do ano sobre os parâmetros de desempenho, rendimento e qualidade da carne de frangos de corte

Cited by 5 publications

References 5 publications

Broiler carcass condemnation pattern during processing

Broiler carcass condemnation pattern during processing

Factors that Influence the Production, Environment, and Welfare of Broiler Chicken: A Systematic Review

A Heuristic and Data Mining Model for Predicting Broiler House Environment Suitability

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