scholarly journals Effects of Light Color on Energy Expenditure and Behavior in Broiler Chickens

2014 ◽  
Vol 27 (7) ◽  
pp. 1044-1049 ◽  
Author(s):  
Nara Kim ◽  
Sang-rak Lee ◽  
Sang-Jin Lee
2017 ◽  
Vol 19 (2) ◽  
pp. 247-254 ◽  
Author(s):  
D Zikic ◽  
M Djukic-Stojcic ◽  
S Bjedov ◽  
L Peric ◽  
S Stojanovic ◽  
...  

2009 ◽  
Vol 88 (1) ◽  
pp. 29-37 ◽  
Author(s):  
G.S. Archer ◽  
H.L. Shivaprasad ◽  
J.A. Mench

2021 ◽  
Vol 180 ◽  
pp. 105863
Author(s):  
Cheng Fang ◽  
Tiemin Zhang ◽  
Haikun Zheng ◽  
Junduan Huang ◽  
Kaixuan Cuan

2014 ◽  
Vol 51 (3) ◽  
pp. 321-326 ◽  
Author(s):  
Md. Rakibul Hassan ◽  
Shabiha Sultana ◽  
Ho S.Choe ◽  
Kyeong S. Ryu

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3179 ◽  
Author(s):  
Yangyang Guo ◽  
Lilong Chai ◽  
Samuel E. Aggrey ◽  
Adelumola Oladeinde ◽  
Jasmine Johnson ◽  
...  

The proper spatial distribution of chickens is an indication of a healthy flock. Routine inspections of broiler chicken floor distribution are done manually in commercial grow-out houses every day, which is labor intensive and time consuming. This task requires an efficient and automatic system that can monitor the chicken’s floor distributions. In the current study, a machine vision-based method was developed and tested in an experimental broiler house. For the new method to recognize bird distribution in the images, the pen floor was virtually defined/divided into drinking, feeding, and rest/exercise zones. As broiler chickens grew, the images collected each day were analyzed separately to avoid biases caused by changes of body weight/size over time. About 7000 chicken areas/profiles were extracted from images collected from 18 to 35 days of age to build a BP neural network model for floor distribution analysis, and another 200 images were used to validate the model. The results showed that the identification accuracies of bird distribution in the drinking and feeding zones were 0.9419 and 0.9544, respectively. The correlation coefficient (R), mean square error (MSE), and mean absolute error (MAE) of the BP model were 0.996, 0.038, and 0.178, respectively, in our analysis of broiler distribution. Missed detections were mainly caused by interference with the equipment (e.g., the feeder hanging chain and water line); studies are ongoing to address these issues. This study provides the basis for devising a real-time evaluation tool to detect broiler chicken floor distribution and behavior in commercial facilities.


2017 ◽  
Vol 14 (7) ◽  
pp. 546-551 ◽  
Author(s):  
Greg Welk ◽  
Youngwon Kim ◽  
Robin P. Shook ◽  
Laura Ellingson ◽  
Roberto L. Lobelo

Background:The study evaluated the concurrent and criterion validity of a new, disposable activity monitor designed to provide objective data on physical activity and energy expenditure in clinical populations.Methods:A sample of healthy adults (n = 52) wore the disposable Metria IH1 along with the established Sensewear armband (SWA) monitor for a 1-week period. Concurrent validity was examined by evaluating the statistical equivalence of estimates from the Metria and the SWA. Criterion validity was examined by comparing the relative accuracy of the Metria IH1 and the SWA for assessing walking/running. The absolute validity of the 2 monitors was compared by computing correlations and mean absolute percent error (MAPE) relative to criterion data from a portable metabolic analyzer.Results:The output from 2 monitors was highly correlated (correlations > 0.90) and the summary measures yielded nearly identical allocations of time spent in physical activity and energy expenditure. The monitors yielded statistically equivalent estimates and had similar absolute validity relative to the criterion measure (12% to 15% error).Conclusions:The disposable nature of the adhesive Metria IH1 monitor offers promise for clinical evaluation of physical activity behavior in patients. Additional research is needed to test utility for counseling and behavior applications.


2016 ◽  
Vol 113 (13) ◽  
pp. 3645-3650 ◽  
Author(s):  
Fantao Meng ◽  
Yong Han ◽  
Dollada Srisai ◽  
Valery Belakhov ◽  
Monica Farias ◽  
...  

Currently available inducible Cre/loxP systems, despite their considerable utility in gene manipulation, have pitfalls in certain scenarios, such as unsatisfactory recombination rates and deleterious effects on physiology and behavior. To overcome these limitations, we designed a new, inducible gene-targeting system by introducing an in-frame nonsense mutation into the coding sequence of Cre recombinase (nsCre). Mutant mRNAs transcribed from nsCre transgene can be efficiently translated into full-length, functional Cre recombinase in the presence of nonsense suppressors such as aminoglycosides. In a proof-of-concept model, GABA signaling from hypothalamic neurons expressing agouti-related peptide (AgRP) was genetically inactivated within 4 d after treatment with a synthetic aminoglycoside. Disruption of GABA synthesis in AgRP neurons in young adult mice led to a dramatic loss of body weight due to reduced food intake and elevated energy expenditure; they also manifested glucose intolerance. In contrast, older mice with genetic inactivation of GABA signaling by AgRP neurons had only transient reduction of feeding and body weight; their energy expenditure and glucose tolerance were unaffected. These results indicate that GABAergic signaling from AgRP neurons plays a key role in the control of feeding and metabolism through an age-dependent mechanism. This new genetic technique will augment current tools used to elucidate mechanisms underlying many physiological and neurological processes.


FEBS Journal ◽  
2021 ◽  
Author(s):  
Jennifer D. Deem ◽  
Chelsea L. Faber ◽  
Gregory J. Morton

2010 ◽  
Vol 122 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Majid Toghyani ◽  
Abasali Gheisari ◽  
Mehrdad Modaresi ◽  
Sayed Ali Tabeidian ◽  
Mehdi Toghyani

Author(s):  
Oyegunle Emmanuel Oke ◽  
Oluwadamilola Oso ◽  
Oluwaseun Iyasere ◽  
Aderanti Oni ◽  
Oluwatobiloba Bakre ◽  
...  
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