Statistical Modeling of Body Weight and Body Linear Measurements of the French Broiler Guinea Fowl in the Humid Tropics of Nigeria

Jt, Dzungwe; Ds, Gwaza; Jo, Egahi

doi:10.4172/2375-446x.1000197

Cited by 4 publications

(8 citation statements)

References 10 publications

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“…For both male and female birds, high variability (CV) was found in BW than linear body measurements, which could reflect environmental and nutritional variations among sampling locations. Compared with morphometric measurements, higher CV was reported in BW for French broiler guinea fowl in the humid tropics of Nigeria (Dzungwe et al, 2018). Generally, the differences within and among the populations could be explained by the variation in genetics, the purpose of chicken rearing in different regions, and environmental factors under which the chickens reared.…”

Section: Resultsmentioning

confidence: 92%

Predicting Body Weight of Ethiopian Indigenous Chicken Populations from Morphometric Measurements

Negash¹

2021

Turkish JAF Sci.Tech.

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The purpose of this study was to estimate the relationship between body weight (BW) and morphometric measurements of Ethiopian indigenous chicken populations and to develop prediction equations used to estimate BW from body measurements. A total of 621 chickens comprising 134 males and 487 females reared under smallholder management conditions were used for the study. Body weight and morphometric measurements including body length (BL), chest circumference (CC), shank length (SL), and shank circumference (SC) were taken using a hanging scale and a textile measuring tape, respectively. The relationship between BW and morphometric measurements was determined using Pearson’s correlation coefficients (r) and stepwise multiple regression analyses. Descriptive statistics indicated that male birds were heavier than female birds. Correlation results revealed that body weight was significantly and strongly correlated with SL (r = 0.76) in both sexes, and moderately correlated with SC (r = 0.69), BL (r = 0.67), and CC (r = 0.52) in male birds, BL (r=0.68) and SC (r = 0.59) in female birds. Compared to other measurements, SL best predicted BW in both male and female birds, with coefficients of determination (R2) = 0.58. Combining SL with other body measurements (BL, CC, and SC) generally improved the predictive power of the equation. Thus, multiple regression equations that included a combination of the four linear body measurements are more suitable for predicting BW of Ethiopian indigenous chicken populations.

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Section: Resultsmentioning

confidence: 92%

Predicting Body Weight of Ethiopian Indigenous Chicken Populations from Morphometric Measurements

Negash¹

2021

Turkish JAF Sci.Tech.

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“…Hy-line Silver Brown chicken layer data summary showed that BW of 1.37kg with 0.13, 0.02 and 9.63 of standard deviation (SD), standard error (SE) and coefficient of variation (CV), respectively. [3] in French Broiler Guinea Fowl of Nigeria. The variation might be due to chicken breed differences.…”

Section: Resultsmentioning

confidence: 99%

“…The current study had disagreement with the study of [1] who discovered that body weight had a highly significant statistical association with wing length and shank circumference in Sasso, Kuroiler and Fulani chicken breeds. [3] discovered that body weight of French Broiler Guinea Fowl had a highly remarkable relationship with keel length, chest circumference, body length and wing length. [5] revealed that body weight of South African non-descript chicken breed had a positive highly statistical significant correlation with shank circumference and body length.…”

Section: Phenotypic Correlation Between Measured Traitsmentioning

confidence: 99%

“…Linear body measurement traits are the predictors of body weight in poultry breeding investigated in Sasso, Kuroilwe and Fulani chicken breeds of Nigeria [1], in Local, Bovans brown, Sasso and Koekoek chicken breeds of Ethiopia [2], in French Broiler Guinea Fowl of Nigeria [3] , in Nigerian Indigenous normal feather chicken breed [4] , in South African non-descript chicken breed [5], in South African Potchefstroom Koekoek chicken breed [6], in Hy-line Siver Brown chicken breed [7], Linear body measurements in chicken breeds can assist for characterization of breeds [1,8]. There are several studies compare linear body measurement traits of chickens [1; 2].…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Some Linear Body Measurement Traits of Local and Commercial Chicken Breeds of South Africa

Tyasi¹,

Mashiloane²,

Mokoena³

2021

SJLSA

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Linear body measurement traits are used for the estimation of body weight in animal breeding to aid livestock farmers where the weighing scale is not available. The objective of the work was to determine the effect of breed on body weight (BW) and linear body measurement traits such as wing length (WL), keel length (KL), shank circumference (SC), chest circumference (CC) and beak length (BL) of two (Hy-line Silver Brown and Potchefstroom Koekoek) layer chicken layer breeds. A total of 100 layers with 50 for each breed were randomly selected for the study at the age of 22 weeks. Pearson’s correlation and Student T-Test were used for data analysis. Correlation was employed to examine the relationship between measured traits in each breed. Correlation findings showed that BW had a highly positive statistical significant correlation (p < 0.01) with WL (r = 0.76) in Potchefstroom Koekoek breed, while BW had a negative statistical significant correlation (p < 0.05) with WL (r = -0.27) in Hy-line Silver Brown chicken layer breed. Student T-Test results indicated that Potchefstroom Koekoek chicken layer breed was statistically (P<0.05) heavier than Hy-line Silver Brown chicken layer breed. Potchefstroom Koekoek had longer wing length and chest circumference than Hy-line Silver Brown while Hy-line Silver Brown had longer (P<0.05) keel length, shank circumference and beak length than Potchefstroom Koekoek. It is concluded that the results suggest that Potchefstroom Koekoek chicken layer breed is a weightier indigenous layer but keel length, shank circumference and beak length might require improvement. It also suggests that improvement of WL might improve BW of Potchefstroom Koekoek breed while improvement of WL might decrease BW of Hy-line Silver Brown chicken layer breed.

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“…Hanus et al, Yakubu et al, Nosike et al, Abiyu and Dzungwe et al used the linear and multiple linear regression models to study the effect of poultry linear body measurements on poultry body weight, an application to chicken and guinea fowl production [4][5][6][7]15].…”

Section: Literature Reviewmentioning

confidence: 99%

Time Series Modeling of Guinea Fowls Production in Kenya Using the ARIMA and ARFIMA Models

Titus¹,

Wanjoya²,

Mageto³

2021

IJDSA

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Commercial farming of Guinea Fowls is at its infant stages and is generating a lot of interest for farmers in Kenya. This, coupled with an increased demand for poultry products in the Kenyan market in the recent past, calls for the rearing of the guinea fowls which are birds reared for meat and partly for eggs. In order to have an efficient production of poultry products for this type of poultry farming, there is need for an efficient modeling using sound statistical methodologies. It's in this regard that the study modeled Guinea Fowl production in Kenya using the Univariate Auto-Regressive Integrated Moving Average (ARIMA) and the Auto-Regressive Fractional Integrated Moving Average (ARFIMA) models. Yearly guinea fowl production data for the period of 2010 to 2019 obtained from Food and Agricultural Organization (FAO-Kenya) was used in the study in which the Augmented Dickey Fuller (ADF) test was used to check for stationarity while the Hurst Exponent was used to test the long-memory property of the series. The ARIMA and ARFIMA models gave a better fit to the data and were used to forecast Guinea Fowl Weights. Fitted model forecast were evaluated via the Random Mean Squared Error (RMSE) in which the ARFIMA model was found to give a better forecast of the Guinea Fowl weights compared to the ARIMA model.

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Statistical Modeling of Body Weight and Body Linear Measurements of the French Broiler Guinea Fowl in the Humid Tropics of Nigeria

Cited by 4 publications

References 10 publications

Predicting Body Weight of Ethiopian Indigenous Chicken Populations from Morphometric Measurements

Predicting Body Weight of Ethiopian Indigenous Chicken Populations from Morphometric Measurements

Comparison of Some Linear Body Measurement Traits of Local and Commercial Chicken Breeds of South Africa

Time Series Modeling of Guinea Fowls Production in Kenya Using the ARIMA and ARFIMA Models

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