2018
DOI: 10.3382/ps/pey108
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Carcass and meat quality characterization of indigenous and improved variety of chicken genotypes

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Cited by 24 publications
(19 citation statements)
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References 38 publications
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“…Variation among chicken breeds due to muscle fiber is largely associated with selection. Findings of the present study correspond with the study of Devatkal et al [12], who found variation in carcass traits among different meat-type chickens. Higher slaughter weight was observed for white broiler and the lowest for Aseel.…”
Section: Traitsupporting
confidence: 93%
See 1 more Smart Citation
“…Variation among chicken breeds due to muscle fiber is largely associated with selection. Findings of the present study correspond with the study of Devatkal et al [12], who found variation in carcass traits among different meat-type chickens. Higher slaughter weight was observed for white broiler and the lowest for Aseel.…”
Section: Traitsupporting
confidence: 93%
“…The quality of meat is a complex trait affected by genetic and nongenetic factors, and the variation in meat quality within and between birds can be wide [12]. Therefore, alternative housing systems and genotypes need to be further investigated.…”
mentioning
confidence: 99%
“…Feeding of commercial diet was found to significantly improve live weight and dressing per centage in FNC as compared to BNC. Similar to the findings of the present study higher weight and dressing per cent has been recorded by Poltowicz and Doktor (2012) in hybrid birds, Haunshi et al (2013) in Aseel and Kadaknath birds, Patel et al (2014) in Gramapriya birds reared under backyard system and Devatkal et al (2018) in Aseel. Dressing per centage is related to the age of the bird and as age advances there is considerable reduction in dressing per centage due to shrinkage of muscle.…”
Section: Resultssupporting
confidence: 91%
“…The drip loss was calculated as (weight initial –weight 24 h )/weight initial × 100%. The shear force of the breast muscle and thigh muscle was measured ( Devatkal et al., 2018 ) using a Texture Analyzer (TA.XTPlus; Stable Micro System, England).…”
Section: Methodsmentioning
confidence: 99%