Variance components and genetic parameters of growth traits and Kleiber ratio in Muzaffarnagari sheep

Mandal, Ajoy; Karunakaran, M.; Sharma, Dinesh Kumar; Baneh, Hasan; Rout, P. K.

doi:10.1016/j.smallrumres.2015.10.009

Cited by 29 publications

(34 citation statements)

References 31 publications

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“…In the current analysis, significant (P ≤0.01) effects of BWT on 120DWT and of 120DWT on 180DWT, 270DWT and 365DWT were in agreement with Mohammadi et al (2013) and Mandal et al (2015), in which a significant correlation of BWT with weaning weight was reported. This significant association of early age performance with older age performance suggests that selection for weight at an early age would improve the weight of lambs at nine months and yearling ages (Caetano et al, 2013).…”

Section: Resultssupporting

confidence: 85%

“…Rams were usually selected from the same flock in which they were born and were only occasionally introduced from field or other flocks. Moreover, poor quality of fodder and malnourishment of animals create high environmental variations, which result in a higher component of environmental variance to phenotypic variance and consequently lower estimates of heritability (Mandal et al, 2015;. The estimates of genetic correlation for BWT-120DWT and 120DWT-180DWT in Kajli were higher than in most of the earlier studies.…”

Section: Resultsmentioning

confidence: 65%

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Analysis of non-genetic and genetic influences underlying the growth of Kajli lambs

et al. 2020

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Data on 2931 Kajli lambs, born from 2007 to 2018, were used to quantify environmental and genetic effects on growth performance of Kajli sheep. Traits considered for evaluation were birth weight (BWT), 120-day adjusted weight (120DWT), 180-day adjusted weight (180DWT), 270-day adjusted weight (270DWT), and 365-day adjusted weight (365DWT). Fixed effects of year of birth, season of birth, sex, birth type, and dam age on these traits were evaluated using linear procedures of SAS, 9.1. Similarly, BWT, 120DWT, 180DWT, and 270DWT were used as fixed effects mixed model analyses. Variance components, heritability and breeding values were estimated by restricted maximum likelihood. The genetic trend for each trait was obtained by regression of the estimated breeding values (EBV) on year of birth. Analyses revealed substantial influence of birth year on all traits. Sex and birth type were the significant sources of variation for BWT and 120DWT. Season of birth did not influence birth weight meaningfully, but had a significant role in the expression of 120DWT, 180DWT, and 270DWT. Heritability estimates were generally low (0.003 ± 0.018 to 0.099 ± 0.067) for all traits. With the exception of the genetic correlation of 180DWT and 365DWT, the genetic correlations between trait were strong and positive. Only 365DWT had a positive genetic trend. Although the heritability estimates for almost all weight traits were low, high and positive genetic correlations between BWT and other weight traits suggest that selection based on BWT would result in the improvement of other weight traits as a correlated response.Keywords: bodyweight, breeding value, genetic correlation, sheep

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Section: Resultssupporting

confidence: 85%

Section: Resultsmentioning

confidence: 65%

Analysis of non-genetic and genetic influences underlying the growth of Kajli lambs

et al. 2020

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“…Dados que concordaram com os obtidos por Kariuki et al (2010), Di et al 2011 2016estimaram os parâmetros genéticos utilizando o modelo que considerou os efeitos diretos, maternos e de ambiente permanente materno. Para ovinos das respectivas raças, Dorper, Columbia, Targhee, Mehraban, Baluchi, Muzaffarnagari, Baluchi e Lori, foram estimados os parâmetros genéticos utilizando o modelo que considerou os efeitos animais (direto e materno), a covariância entre eles e o ambiente permanente materno (Neser et al, 2001, Hanford et al, 2002, Hanford et al, 2003, Zamani e Mohammadi, 2008, Abbasi et al, 2012, Mandal et al, 2015, Gholizadeh e Ghafouri-Kesbi, 2015 e Mohammadi et al, 2015).…”

Section: Resultsunclassified

“…Utilizando, também, o método da máxima verossimilhança, porém com o modelo que considerou os efeitos animais, a covariância entre eles e o ambiente permanente materno, Neser et al (2001), Hanford et al (2003), Zamani e Mohammadi (2008), Abbasi et al (2012, Mandal et al (2015), Gholizadeh e Ghafouri-Kesbi (2015) e, Mohammadi et al (2015) encontraram correlação positiva de 0,35, 0,09, 0,35, 0,44, 0,05, 0,49 e 0,68 entre os efeitos direto e materno, respectivamente. Logo, Zishiri et al (2014) para a raça Dormer encontraram uma correlação de -0,91 entre os efeitos animais, e -0,10 para a raça Ile de France.…”

Section: Resultsunclassified

Estimativa dos componentes genéticos do peso ao nascimento, em um rebanho ovino com diferentes graus de sangue Polwarth

et al. 2018

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O peso ao nascimento é uma característica relacionada diretamente com a sobrevivência pós-natal, em que cordeiros com pesos extremos (leves ou pesados) são mais susceptíveis à morte. Logo, o conhecimento dos fatores genéticos e ambientais que influenciam tal caraterística, em rebanhos mestiços, ainda são obscuros. Neste sentido, objetivou-se verificar os parâmetros genéticos para a característica de peso ao nascer, pelo método da máxima verossimilhança restrita, com base em 1033 registros de nascimento de um rebanho mestiço com diferentes graus de sangue Polwarth. Assim, testou-se 12 modelos animal, sendo o modelo que considerou os efeitos aditivos direto, materno e a covariância entre ambos, o que melhor explicou a variação fenotípica. Para este, foram obtidos coeficientes de herdabilidade direta, materna e a correlação entre tais efeitos de 0,20, 0,54 e -0,69, respectivamente. Assim, verifica-se baixos coeficientes de herdabilidade direta e altos para o efeito materno, como uma alta correlação negativa entre os efeitos direto e materno.

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“…The present finding was in close agreement with all body measurements with the reports of Gowaneet al (2010a) in Malpura sheep and Singh et al (2014) in Marwari sheep. Mandal et al (2015) found variable live weight in different sheep breeds, owing to breed differences, which are genetic in nature.…”

Section: Phenotypic Characteristicsmentioning

confidence: 99%

Different Body Measurement and Body Weight Prediction of Jamuna Basin Sheep in Bangladesh

et al. 2020

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The aim of this study was to estimate different body measurements and derive prediction equation for live weight of Jamuna basin sheep using different body measurement. A total of 520 individual records of sheep (47 males and 473 females) including all temporary at nine-month age (320), first pair permanent at 1.6 year age (161) and 2nd pair permanent at two years age (39) were collected from two Upazila of Sherpur district. Body weight (BW) was taken using a weighing scale and different measurements were taken using the tailor's tape measure and measuring stick while animals were on standing position. Data were analyzed with the help of SPSS-v-20 computer package program. Average BW, wither height(WH), rump height(RH), body length(BL), sternum height(SH), body depth(RD), bi-costal diameter(BD), ear length(EL), rump width(RW), head width(HW), rump length(RL), head length(HL), heart girth(HG), cannon bone circumference(CC) and muzzle diameter(MD) were 12.28±2.75 kg, 49.42±3.78, 54.04±3.88, 49.38±4.57, 28.06±3.00, 53.09±4.40, 15.07±2.58, 8.66±3.32, 15.72±2.33, 12.87±2.20, 14.30±2.29, 18.23±2.30, 55.02±4.71, 9.22±1.01, and 16.65±1.73cm, respectively. According to sex BW, WH, RH, SH, RD and CC were found significant (p<0.001), HG and MD were found significant(p<0.01). Stepwise multiple regression analysis according to agein all temporary groups showed that the body weight was found the best fitted equation having the highest R2value 64% (BW = - 15.53+0.24HG+0.13WH+0.16BD-.1RW+0.05EL) whereas in 1.3-1.6 and 1.9-2 years age group the R2 value for BD was 56 (BW = - 15.65+0.31HG+0.22WH)and 83% (BW = -24.51+0.21RH+0.35HG+0. 19BL-0.78RL+1.2RW-0.87HW), respectively. R2value for BD in male (BW = -28.91+0.43HG+0.35WH) and female (BW = -10.62+0.27HG+ 0.13WH+0.06BD-0.13HW+0.07BL-0.10SH-0.10RL) was 88and 59%, respectively. It is concluded that the best prediction parameter of BW was HG, WH, BD, RW, EL, RH, BL and HW. SAARC J. Agri., 18(1): 183-196 (2020)

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Variance components and genetic parameters of growth traits and Kleiber ratio in Muzaffarnagari sheep

Cited by 29 publications

References 31 publications

Analysis of non-genetic and genetic influences underlying the growth of Kajli lambs

Analysis of non-genetic and genetic influences underlying the growth of Kajli lambs

Estimativa dos componentes genéticos do peso ao nascimento, em um rebanho ovino com diferentes graus de sangue Polwarth

Different Body Measurement and Body Weight Prediction of Jamuna Basin Sheep in Bangladesh

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