Live body weight and linear body measurements of indigenous sheep population in their production system for developing suitable selection criteria in Central Zone of Tigray, Northern Ethiopia

Tesfay, Haylegebriel; Banerjee, A.; Mummed, Yesihak Yusuf

doi:10.5897/ajar2016.11927

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…Testing with the automatic linear model with the best subsets method also showed that CG is in a more fit rank with the lowest information criterion (AICC) value (344.527) compared to BL (436.626) and WH (442.307). These results in line with the study on Wonosobo sheep (Haryanti et al 2015), Arsi Bale sheep (Worku 2019), Kilakarsal sheep (Ravimurugan et al 2013), blackhead Somali sheep (Feyissa et al 2018), Sudanese Shogur sheep (Musa et al 2012), Uda sheep (Yakubu 2012), Washera sheep, Farta sheep (Mekuriaw et al 2013), indigenous Ethiopia sheep (Tesfay et al 2017), Maefur goat (Berhe 2017) that CG is the most suitable body trait for reflecting and predicting body weight.…”

Section: Regression Models Between Body Measurements and Body Weightsupporting

confidence: 72%

Regression model analysis for prediction of body weight from body measurements in female Batur sheep of Banjarnegara District, Indonesia

et al. 2021

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Abstract. Ibrahim A, Artama WT, Budisatria IGS, Yuniawan R, Atmoko BA, Widayanti R. 2021. Regression model analysis for prediction of body weight from body measurements in female Batur sheep of Banjarnegara District, Indonesia. Biodiversitas 22: 2723-2730. Bodyweight is an important aspect of livestock management. The present study was undertaken to estimate correlation coefficients between biometric traits and identify best predictor of body weight in female Batur sheep from body measurements. Data on body weight and body measurements (body length: BL, chest girth: CG and withers height: WH) were collected from 73 female Batur sheep in Batur Village, Banjarnegara District, Central Java Province, Indonesia. Batur sheep were grouped into 3 categories based on their age, namely groups <1.5 years, 1.5-2.5 years and >2.5 years. The data were analyzed using simple, multiple, and automatic linear regression methods using the SPSS computer software version 25 platform. The correlation coefficient, coefficient determination, adjusted coefficient determination, residual standard error, Akaike information criterion, Bayesian information criterion, and Akaike information criterion corrected were used to determine the best regression formula for the prediction of BW. The average BW (kg), BL (cm), CG (cm), and WH (cm) of 49.27, 63.11, 91.41, and 56.82, respectively was observed in the present study. The correlation coefficients of 0.433, 0.866, and 0.369 for BW with BL, CG, and WH were observed in the present study. The best prediction of BW using two predictors (BL and GC) was BW =-56.522 + 0.509BL + 0.843CG, followed by using three predictors (BL, CG, and WH) was BW =-57.897+ 0.505BL + 0.839CG + 0.034WH, and using the only one predictor (CG) was BW =-28.443 + 0.905CG. The study revealed that CG and its combination with other linear body measurements can effectively define the body weight in Batur sheep. However, the highest R2 of 0.782 was observed when CG and BL were used as predictors.

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Section: Regression Models Between Body Measurements and Body Weightsupporting

confidence: 72%

Regression model analysis for prediction of body weight from body measurements in female Batur sheep of Banjarnegara District, Indonesia

et al. 2021

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Effect of Crossing Different Breeds of Sheep on Productive Performance and Different Body Measurements

Ali,

Altaei

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The study was conducted in one of the fields of Barakat Abi Al-Fadl Al-Abbas in Karbala Governorate Iraq for 365 days, from the first of June 2022 until the first of June of the year 2023. To determine effect of crossing different breeds of sheep on productive performance and different body measurements of lambs from weaning until the age of 6 months through some genetic and non-genetic factors (Sex of the lamb, Dam age at birth, Month of birth), 60 ewes of the Awassi and Karakul breed and their cross were used. And then, body measurements were recorded body length (BL), body height at the front (BHF), body height at the back (BHB), chest circumference (CC), and abdominal circumference (AC) for all strains, and the data were analysed statistically using Statistical Analysis System (SAS). The results showed the following: The genetic group had a significant (P<0.05) effect on body measurements, as the ewes of the Awassi and Karakul breeds on crossbred flock breed ewes’ group in AC, and the averages were 77.52, 76.95, and 73.77 cm at weaning. While the Awassi and Karakul ewes’ group on crossbred flock ewes’ group in BL and AC, with an average of 56.42 and 85.70 cm at the age of 6 months. Females were superior to males in three characteristics represented by CC and AC (P<0.05) and a highly significant effect (P<0.01) in BHB, as their averages were 67.36, 77.48, and 58.00 cm, respectively, compared to males whose averages were 65.50 and 75. 00 and 56.64 cm, respectively. December births (55.25 cm) also outperformed November births (53.28 cm) in BL.

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Body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia

Prihandini¹,

Maharani

Sumadi

2020

Biodiversitas

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Abstract. Prihandini PW, Maharani D, Sumadi. 2020. Body weight, body measurements, and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia. Biodiversitas 21: 3415-3421. This study was designed to analyze the body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan district, East Java province, Indonesia. A total of 2,373 records on live body weight and body measurements (body length, height at withers and chest girth), and 69 records on slaughter traits (slaughter, carcass, and meat weight, as well as carcass and meat percentage) from both sexes were used. Sampled animals were divided into three groups based on age (calf: 0- to10-month-old; young: 11- to 24-month-old; adult: >24-month-old). The data were analyzed using independent sample t-test to assess significant differences between sex groups and subjected to multiple linear regression analyses to obtain prediction equations of body weight from body measurements, carcass weight from slaughter weight, and meat weight from slaughter- and carcass-weight. Results showed that body weight, height at withers, and chest girth between male and female cattle in all age groups were significantly different (P<0.05). Male cattle showed higher slaughter weight, carcass weight and carcass percentage mean values than female cattle. Body measurements showed high correlation with body weight (r ≥0.80). Height at withers, body length, and chest girth represented good body measurements to predict body weight (R2 = from 0.65 to 0.83). Moreover, as observed, high correlations between slaughter weight and carcass- (r = 0.94; R2 = 0.89) and meat-weight (r = 0.99; R2 = 0.98) would imply that meat weight could be predicted accurately from slaughter- and carcass-weight.

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Live body weight and linear body measurements of indigenous sheep population in their production system for developing suitable selection criteria in Central Zone of Tigray, Northern Ethiopia

Abstract: The aim of this study was to characterize phenotype indigenous sheep population in central zone of Tigray. A total of 450 adult sheep were sampled randomly for this purpose. Based on dentition adult sheep were classified into four age categories. Average BW of the sampled sheep in Tanqua

Cited by 4 publications

References 10 publications

Regression model analysis for prediction of body weight from body measurements in female Batur sheep of Banjarnegara District, Indonesia

Regression model analysis for prediction of body weight from body measurements in female Batur sheep of Banjarnegara District, Indonesia

Effect of Crossing Different Breeds of Sheep on Productive Performance and Different Body Measurements

Body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia

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