Genetic evaluation of weekly body weight in Japanese quail using random regression models

Karami, Keyvan; Zerehdaran, Saeed; Tahmoorespur, Mojtaba; Barzanooni, Behshad; Lotfi, E.

doi:10.1080/00071668.2016.1236362

Cited by 10 publications

(8 citation statements)

References 33 publications

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“…Arango et al (2004) reported decreasing influence of permanent environmental effects and increasing additive genetic effects for mature cow body weights over time. Additive genetic and permanent environmental variances both increased in random regression analyses of observed days to weight in fed cattle (Speidel et al, 2016), and estimates of heritability for BW in quail increased with age (Karami et al, 2017). The present study indicated increasing c 2 and decreasing h 2 over time, suggesting an increasing influence of environmental and decreasing relative influence of additive genetic effects on EV with increasing age.…”

Section: Random Regressionsupporting

confidence: 54%

Use of random regression to estimate genetic parameters of temperament across an age continuum in a crossbred cattle population1

Littlejohn

Riley

Welsh

et al. 2018

Journal of Animal Science

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The objective was to estimate genetic parameters of temperament in beef cattle across an age continuum. The population consisted predominantly of Brahman-British crossbred cattle. Temperament was quantified by 1) pen score (PS), the reaction of a calf to a single experienced evaluator on a scale of 1 to 5 (1 = calm, 5 = excitable); 2) exit velocity (EV), the rate (m/s) at which a calf traveled 1.83 m upon exiting a squeeze chute; and 3) temperament score (TS), the numerical average of PS and EV. Covariates included days of age and proportion of Bos indicus in the calf and dam. Random regression models included the fixed effects determined from the repeated measures models, except for calf age. Likelihood ratio tests were used to determine the most appropriate random structures. In repeated measures models, the proportion of B. indicus in the calf was positively related with each calf temperament trait (0.41 ± 0.20, 0.85 ± 0.21, and 0.57 ± 0.18 for PS, EV, and TS, respectively; P < 0.01). There was an effect of contemporary group (combinations of season, year of birth, and management group) and dam age (P < 0.001) in all models. From repeated records analyses, estimates of heritability (h2) were 0.34 ± 0.04, 0.31 ± 0.04, and 0.39 ± 0.04, while estimates of permanent environmental variance as a proportion of the phenotypic variance (c2) were 0.30 ± 0.04, 0.31 ± 0.03, and 0.34 ± 0.04 for PS, EV, and TS, respectively. Quadratic additive genetic random regressions on Legendre polynomials of age were significant for all traits. Quadratic permanent environmental random regressions were significant for PS and TS, but linear permanent environmental random regressions were significant for EV. Random regression results suggested that these components change across the age dimension of these data. There appeared to be an increasing influence of permanent environmental effects and decreasing influence of additive genetic effects corresponding to increasing calf age for EV, and to a lesser extent for TS. Inherited temperament may be overcome by accumulating environmental stimuli with increases in age, especially after weaning.

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Section: Random Regressionsupporting

confidence: 54%

Use of random regression to estimate genetic parameters of temperament across an age continuum in a crossbred cattle population1

Littlejohn

Riley

Welsh

et al. 2018

Journal of Animal Science

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“…Egg productions at different age intervals were positively correlated. Phenotypic and genetic correlations between adjacent periods of egg production were more closely correlated than remote periods (Karamia et al, 2017). The egg weights were also highly correlated traits with egg weights at different time intervals.…”

Section: Phenotypic and Genetic Correlationsmentioning

confidence: 81%

Estimation of genetic parameters of growth and egg production traits by animal model in IWK layer strain

Chandan

Bhattacharya

Rajkumar

et al. 2019

IJAR

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Indian White Leghorn strain-IWK has been improved for higher egg weight as well as number over last twelve generations at ICAR-Directorate of Poultry Research, Hyderabad. The data collected on various economic traits of egg production were analyzed using REML approach of animal model. Current study showed that the heritability estimate of body weight, age at sexual maturity (ASM), egg numbers and egg weight was moderate to high, low to moderate, low and high, respectively. The body weight was positively correlated with egg weight but negatively correlated with egg numbers. The body weight at 16 and 20 weeks were negatively correlated with ASM and were very important for achieving early ASM. ASM was negatively correlated with egg numbers. The egg weight regressed as the egg number increased. The part period egg production EP52 was highly correlated with EP64; therefore EP52 can be used for selecting parents for higher egg number instead of EP64.

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“…In agreement with the current findings, Silva et al (2013) reported that genetic and phenotypic correlations between weekly BW of Japanese quail were 0.35 to 0.96 and 0.17 to 0.80, respectively. In contrast, Karami et al (2017) revealed a higher estimated genetic correlation of 0.85, 0.90 and 0.91 between BW0 with BW7, BW14 and BW21, respectively, in Japanese quail through a random regression model. Estimated h 2 for BWG at different ages tended to be low, varying from 0.18 (BWG 4-6) to 0.23 (BWG 0-6).…”

Section: Resultsmentioning

confidence: 81%

“…These findings could encourage the breeders to practise genetic selection at an early age in Japanese quail. In contrast, Saatci et al (2003), Nasiri Foomani et al 2014, and Karami et al (2017) found that heritability values for BW of Japanese quail tended to increase with age. The estimated heritabilities (h 2 ) and genetic and phenotypic correlations of BW and BWG of Japanese quail are shown in Table 3.…”

Section: Resultsmentioning

confidence: 92%

“…Genetic evaluations of economic traits such as BW and BWG at different ages are of great interest in most poultry breeding programmes (Silva et al, 2013). Therefore, most of the selection programmes have been based on estimates of genetic parameters for growth traits (Nasiri Foomani et al, 2014;Karami et al, 2017). Several studies indicated that selection based on genetic parameters of growth traits resulted in good selection responses in BW of Japanese quail (Nestor et al, 2000;Saatci et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Genetic evaluation and selection correlated response of growth traits in Japanese quail

El-Attrouny¹,

Manaa²,

Ramadan³

2020

SA J. An. Sci.

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Objectives of the current study were to i) investigate effects of selection for bodyweight at four weeks old on bodyweight (BW) and bodyweight gain (BWG) across four generations; ii) estimate correlated response to selection for BW and BWG at different ages; and iii) document best linear unbiased prediction (BLUP) of genetic trends for BW and BWG across four generations of selection. A total of 3540 chicks from 444 sires and 885 dams were used to estimate heritabilities, and genetic and phenotypic correlations for growth traits, including BW at 0, 2, 4, and 6 weeks, and BWG between 0 and 2, 2 and 4, 4 and 6, and 0 and 6 weeks. The selection effects, correlated responses and genetic trend for BW and BWG across generations were quantified by applying the animal model. Estimates of heritability for BW and BWG ranged from 0.22 to 0.42 and from 0.18 to 0.23, respectively. Ranges of genetic and phenotypic correlations for BW varied from 0.31 to 0.92 and 0.05 to 0.65, respectively. Moreover, estimates of genetic and phenotypic correlations for BWG at different ages were from 0.12 to 0.72 and 0.17 to 0.60, respectively. Bodyweight and BWG estimates after four generations of selection were significantly higher than those of the base generation. Moreover, contrasts of generation means were significant across the four generations. The genetic trends across the generations clarified that BLUP estimates for BW and BWG gradually increased with the advance of generations until the fourth generation. Keywords: best linear unbiased prediction, bodyweight, heritability, selection, genetic trend

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Genetic evaluation of weekly body weight in Japanese quail using random regression models

Cited by 10 publications

References 33 publications

Use of random regression to estimate genetic parameters of temperament across an age continuum in a crossbred cattle population1

Use of random regression to estimate genetic parameters of temperament across an age continuum in a crossbred cattle population1

Estimation of genetic parameters of growth and egg production traits by animal model in IWK layer strain

Genetic evaluation and selection correlated response of growth traits in Japanese quail

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