2014
DOI: 10.9790/2380-07152730
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Statistical Modelling of Body Weight and Linear Body Measurements in Nigerian Indigenous Chicken

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Cited by 13 publications
(7 citation statements)
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“…This indicates that nearly 60 percent of the variance in BW was explained by SL thus this body measurement could be used as a single most important predictor of BW. Similar observations were reported in Nigerian indigenous chickens (Ukwu et al, 2014), and Japanese quail (Gambo et al, 2014). A combination of SL with one or more of other measurements (BL, CC, and SC) generally improved the predictive power of the equations.…”
Section: Resultssupporting
confidence: 85%
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“…This indicates that nearly 60 percent of the variance in BW was explained by SL thus this body measurement could be used as a single most important predictor of BW. Similar observations were reported in Nigerian indigenous chickens (Ukwu et al, 2014), and Japanese quail (Gambo et al, 2014). A combination of SL with one or more of other measurements (BL, CC, and SC) generally improved the predictive power of the equations.…”
Section: Resultssupporting
confidence: 85%
“…The strong correlation between BW and SL has also been observed for indigenous chickens of Nigeria (Ukwu et al, 2014), French broiler guinea fowl in Nigeria (Dzungwe et al, 2018), and naked neck chickens of South Africa (Alabi et al, 2012). On the contrary, BW was strongly correlated with BL (r = 0.87) and CC (r = 0.85) in Muscovy duck (Raji et al, 2009), SC in Venda and Potchefstroom koekoek chickens of South Africa (Alabi et al, 2012), and BL in Nigerian indigenous chickens (Egena et al, 2014).…”
Section: Resultsmentioning
confidence: 61%
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“…The highest positive phenotypic correlation estimates of body weight obtained with shank length at 10 weeks in IBxF, body width at 20 weeks in IBxNa and IBxN, drumstick length in FxIB at 20 weeks, keel length and shank length at 20 weeks in NxIB genotypes suggest that these traits could serve as best predictors and indirect selection criteria for body weight at these ages in their respective genotypes. Similarly, Ukwu et al (2014) and Nwaogwugwu et al (2018) had reported shank length and thigh length in chicken and quail, respectively as the best predictors of body weight based on their positive relationship. Kabir et al (2006) also obtained high and positive phenotypic correlation between shank length and body weight and opined that it was possible to predict body weight of live Rhode Island chickens on the basis of their shank length measurement.…”
Section: Phenotypic Correlationmentioning
confidence: 93%
“…Most reports on chicken mainly focused on either pure breeds, crossbreds or mixed sexes (Gambo et al 2012;Ajayi et al 2008;Dzungwe et al 2018;Adenaike et al 2015) and not on combinations of genotypes, sexes and ages in chicken. Moreover, many authors who predicted body weight from linear body measurements of chickens used the entry method of multiple linear regression analysis (Ukwu et al 2014; Nosike et at. 2017; Ashwini et al 2019), which includes all predictors in a model, thereby increasing interdependency that reduces accuracy of prediction.…”
Section: Introductionmentioning
confidence: 99%