The genetic parameters of feed efficiency and its component traits in the turkey (Meleagris gallopavo)

Case, L.A.; Wood, Benjamin J.; Miller, Stephen

doi:10.1186/1297-9686-44-2

Cited by 54 publications

(53 citation statements)

References 13 publications

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“…They were within the limits of published data in beef cattle, pigs and turkeys [5,6,8,21,22]; selection for low RFI will improve feed efficiency with an expected correlated response in FI. Based on the genetic correlation between RFI and metabolic body weight as obtained, it could be mentioned that this would favor obtaining a lower maintenance energy requirement in ducks.…”

Section: Discussionsupporting

confidence: 77%

Genetic parameters for residual feed intake in a random population of Pekin duck

Zhang

Guo

Xie

et al. 2016

Asian-Australas J Anim Sci

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ObjectiveThe feed intake (FI) and feed efficiency are economically important traits in ducks. To obtain insight into this economically important trait, we designed an experiment based on the residual feed intake (RFI) and feed conversion ratio (FCR) of a random population Pekin duck.MethodsTwo thousand and twenty pedigreed random population Pekin ducks were established from 90 males mated to 450 females in two hatches. Traits analyzed in the study were body weight at the 42th day (BW42), 15 to 42 days average daily gain (ADG), 15 to 42 days FI, 15 to 42 days FCR, and 15 to 42 days RFI to assess their genetic inter-relationships. The genetic parameters for feed efficiency traits were estimated using restricted maximum likelihood (REML) methodology applied to a sire-dam model for all traits using the ASREML software.ResultsEstimates heritability of BW42, ADG, FI, FCR, and RFI were 0.39, 0.38, 0.33, 0.38, and 0.41, respectively. The genetic correlation was high between RFI and FI (0.77) and moderate between RFI and FCR (0.54). The genetic correlation was high and moderate between FCR and ADG (−0.80), and between FCR and BW42 (−0.64), and between FCR and FI (0.49), respectively.ConclusionThus, selection on RFI was expected to improve feed efficiency, and reduce FI. Selection on RFI thus improves the feed efficiency of animals without impairing their FI and increase growth rate.

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Section: Discussionsupporting

confidence: 77%

Genetic parameters for residual feed intake in a random population of Pekin duck

Zhang

Guo

Xie

et al. 2016

Asian-Australas J Anim Sci

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“…For example, Nestor et al (1967) summarised heritability estimates of BW as ranging from 0.36 to 0.42 in the different age groups from 0 to 24 weeks of age. Case et al (2010) reported values of 0.35 6 0.02 for the heritability of BW at 15 weeks with the bivariate method. Chapuis et al (1996) reported heritability estimates of 0.77 for female BW and 0.68 for male BW at 16 weeks of age.…”

Section: Heritabilitymentioning

confidence: 99%

Estimates of the genetic parameters of turkey body weight using random regression analysis

Rafat

Namavar

Shodja

et al. 2011

Animal

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Random regression (RR) analysis has been recommended to estimate the genetic parameters of longitudinal data. The objective of this study was to evaluate the growth of turkeys using RR models. Data were collected from 957 turkeys and included 15 478 individual body weight recorded during the first week of life and between weeks 2 and 32 by 2-week intervals. To take into account the repeated measurements of weight for each animal, a specific overall growth curve was modelled using a cubic smoothing spline. Animal deviation to this curve was also modelled using an RR function. All data were analysed with the ASReml package. The results showed an increase in heritability estimates over the trajectory and peaked at 0.60 around 20 to 32 weeks of age. Genetic correlations showed that turkeys could be selected at earlier time points, at 12 weeks of age, in order to increase the growth rate. In general, genetic correlation estimates were higher among adjacent ages, decreasing markedly with the increase of distance between ages. Negative genetic correlations were observed between ages.

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“…milk and egg production or in this case body weight gain) and body weight maintenance [6]. Some of the cited advantages of RFI are that it is heritable, moderately correlated with FCR and feed intake, and ideally, independent of production traits [6,7]. Although RFI may be seen as a good indicator of feed efficiency, it does have its drawbacks, namely, slow growing animals eating a relatively small amount of feed may have a more favorable RFI value [8].…”

Section: Introductionmentioning

confidence: 99%

“…Although RFI may be seen as a good indicator of feed efficiency, it does have its drawbacks, namely, slow growing animals eating a relatively small amount of feed may have a more favorable RFI value [8]. Previously reported heritability estimates for FCR and RFI in the turkey were 0.22 and 0.24, respectively, with a genetic correlation of 0.80 [7]. …”

Section: Introductionmentioning

confidence: 99%

Assessment of residual body weight gain and residual intake and body weight gain as feed efficiency traits in the turkey (Meleagris gallopavo)

2013

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BackgroundSince feed represents 70% of the total cost in poultry production systems, an animal’s ability to convert feed is an important trait. In this study, residual feed intake (RFI) and residual body weight gain (RG), and their linear combination into residual feed intake and body weight gain (RIG) were studied to estimate their genetic parameters and analyze the potential differences in feed intake between the top ranked birds based on the criteria for each trait.MethodsPhenotypic and genetic analyses were completed on 8340 growing tom turkeys that were measured for feed intake and body weight gain over a four-week period from 16 to 20 weeks of age.ResultsThe heritabilities of RG and RIG were 0.19 ± 0.03 and 0.23 ± 0.03, respectively. Residual body weight gain had moderate genetic correlations with feed intake (−0.41) and body weight gain (0.43). All three linear combinations to form the RIG traits had genetic correlations ranging from −0.62 to −0.52 with feed intake, and slightly weaker, 0.22 to 0.34, with body weight gain. Sorted into three equal groups (low, medium, high) based on RG, the most efficient group (high) gained 0.62 and 1.70 kg more (P < 0.001) body weight than that of the medium and low groups, yet the feed intake for the high group was less (P < 0.05) than that of the medium group (19.52 vs. 19.75 kg). When separated into similar partitions, the high RIG group (most efficient) had both the lowest (P < 0.001) feed intake (18.86 vs. 19.57 and 20.41 kg) and the highest (P < 0.001) body weight gain (7.41 vs. 7.03 and 6.43 kg) relative to the medium and low groups, respectively.ConclusionsThe difference in feed intake between the top ranked birds based on different residual feed efficiency traits may be small when looking at the average individual, however, when extrapolated to the production level, the lower feed intake values could lead to significant savings in feed costs over time.

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The genetic parameters of feed efficiency and its component traits in the turkey (Meleagris gallopavo)

Cited by 54 publications

References 13 publications

Genetic parameters for residual feed intake in a random population of Pekin duck

Genetic parameters for residual feed intake in a random population of Pekin duck

Estimates of the genetic parameters of turkey body weight using random regression analysis

Assessment of residual body weight gain and residual intake and body weight gain as feed efficiency traits in the turkey (Meleagris gallopavo)

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