Characteristics of live animal allometric measurements associated with body fat in fat-tailed sheep

Ermias, E.; Rege, J.E.O.

doi:10.1016/s0301-6226(02)00256-7

Cited by 18 publications

(12 citation statements)

References 8 publications

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“…Low coefficients of variation (CVs) were observed for body measurements, and have been reported by other researchers (Fourie et al, 2002;Ermias & Rege, 2003;Alfolayan et al, 2006;Salako, 2006). The relatively low CV value estimates of the body measurements in the present study can be explained by the small differences among the animals of the population, greater uniformity of the traits, minor changes in these traits by environmental qualifications, better response to selection and other unknown factors.…”

Section: Resultssupporting

confidence: 76%

Estimation of genetic parameters for body measurements and their association with yearling liveweight in the Makuie sheep breed

Jafari¹,

Hashemi²

2014

SA J. An. Sci.

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The main objective of this study was to estimate the genetic parameters for body measurement and yearling live bodyweight traits in the Makuie sheep breed. The data set consisted of 2 144 lambs from 122 sires and 984 dams recorded in 21 years from 1989 to 2009 at the Makuie Sheep Breeding and Raising Station (MSBS). The traits that were studied were height at withers, height at rump, body length, heart girth, leg circumference and yearling weight. The analyses were carried out based on an animal model with the restricted maximum likelihood (REML) approach using a derivate-free (DF) algorithm. Six animal models were fitted, differentiated by including or excluding maternal effects, and with and without covariance between maternal and direct genetic effects. Ignoring the maternal effects, the direct heritability was estimated as 0.20, 0.24, 0.10, 0.14, 0.02 and 0.36 for height at wither, height at rump, body length, heart girth, leg circumference and yearling weight, respectively. The estimates were slightly higher when maternal effects, genetic or environmental, were ignored in the analyses. Using bivariate analysis, the estimates for additive genetic correlations ranged from 0.56 to 0.81 among the studied traits. A log-likelihood ratio test (LRT) was used to select the most appropriate univariate model for each trait. Based on LRT, the direct additive genetic and maternal permanent environmental effects were regarded as an important source of variation of the studied traits. The estimates of genetic parameters can be considered a basis for calculating selection indices for body measurements, as well as revealing their association with yearling bodyweight traits.

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Section: Resultssupporting

confidence: 76%

Estimation of genetic parameters for body measurements and their association with yearling liveweight in the Makuie sheep breed

Jafari¹,

Hashemi²

2014

SA J. An. Sci.

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“…The relatively low CV value estimates suggest small variance among animals, more uniformity of traits, minor changes in traits by environmental qualifications, better response to selection, and other unknown factors (Salako, 2006b). The lower CVs for body measurement traits were also reported by other researchers (Fourie et al, 2002;Ermias & Rege, 2003;Alfolayan et al, 2006;Salako, 2006b). …”

Section: Descriptive Statisticssupporting

confidence: 61%

Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed

Jafari¹,

Hashemi²,

Darvishzadeh³

et al. 2014

Span. j. agric. res.

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Genetic parameters of production and reproduction traits were estimated using 39,926 records from 5,860 individual progenies of 163 sires and 1,558 dams. The data were collected at Makuie Sheep Breeding and Raising Station (Maku, Iran) from 1989 through 2013. Nineteen traits were classified in four main groups: a) live body weight traits, b) body measurement traits, c) greasy fleece weight traits, and d) reproduction traits. Year of birth, lamb sex, age of dam, and birth type were considered as fixed effects in the animal model. Four different animal models that are differentiated by including or excluding maternal effects were fitted for each trait. The Akaike information criterion was used to determine the most appropriate model for each trait. Parameters were overestimated substantially when maternal effects, either genetic or environmental, were ignored from the models. By ignoring the maternal effects, the traits could be classified into three main groups: body live weight traits with high heritability (0.34-0.46), body measurement and greasy fleece weight traits with medium heritability (0.11-0.27) and reproduction traits with low heritability (0.03-0.20). The genetic correlations among the traits ranged from-0.41 to 0.99. The estimated genetic parameters may be used to set up short/long term breeding program for the selection purpose of Makuie sheep breed.

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“…All allometric variables were measured by means of a measuring tape. From these measurements, growth variables such as ADG (Ermias & Rege, 2003), kleiber ratio (KR; Kleiber, 1947), relative growth rate (RGR; Fitzhugh & Taylor, 1971) and BMI (Tanaka, Yamaguchi, Kamomae, & Kaneda, 2003) were calculated. Further, the BCS described method as by Russel, Doney, and Gunn (1969) was used to condition score the goats.…”

Section: Growth and Allometric Variablesmentioning

confidence: 99%

Comparative assessment of growth performance of three different indigenous goat breeds exposed to summer heat stress

Pragna

Sejian

Bagath

et al. 2018

Animal Physiology Nutrition

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A study was conducted to assess comparatively the growth performance of three different indigenous goat breeds during exposure to summer heat stress. The primary objective of the study was to observe the heat stress impact on the growth performance based on the body weight changes, allometric measurements, growth hormone (GH) concentration and peripheral blood mononuclear cell (PBMC) Insulin-like growth factor-1 (IGF-1) mRNA expression pattern during the summer season in comparison with the local breed (Osmanabadi). Thirty-six ten-month- to one-year-old female goats of Osmanabadi, Malabari and Salem Black breeds were randomly divided into six groups, OC (n = 6; Osmanabadi control), OHS (n = 6; Osmanabadi heat stress), MC (n = 6; Malabari control), MHS (n = 6; Malabari heat stress), SBC (n = 6; Salem Black control) and SBHS (n = 6; Salem Black heat stress). Body weight was recorded at weekly intervals, whereas other growth and allometric measurements and blood collection were carried out at fortnightly intervals. Breed factor significantly (p < .05) influenced only few growth variables such as body weight, body mass index (BMI) and body condition score (BCS). However, heat stress treatment significantly (p < .05) reduced all growth parameters expect BMI. Further, the heat stress significantly (p < .01) increased plasma GH concentration in goats with significantly higher (p < .05) concentration recorded in OHS. Among the stress groups, the lower (p < .05) PBMC IGF-1 mRNA expression was recorded in OHS, while the higher (p < .05) expression was observed in SBHS indicating the extreme adaptive capability of Salem Black breed. Thus, the results indicated that the Salem Black breed performed much better compared to both Osmanabadi and Malabari breeds indicating the superior ability of this breed to adapt to heat stress challenges. The results also indicated that plasma GH and IGF-1 gene may act as ideal biomarkers for assessing the heat stress impact on growth performance in indigenous goats.

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Characteristics of live animal allometric measurements associated with body fat in fat-tailed sheep

Cited by 18 publications

References 8 publications

Estimation of genetic parameters for body measurements and their association with yearling liveweight in the Makuie sheep breed

Estimation of genetic parameters for body measurements and their association with yearling liveweight in the Makuie sheep breed

Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed

Comparative assessment of growth performance of three different indigenous goat breeds exposed to summer heat stress

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