Improving residual feed intake of mule progeny of Muscovy ducks: Genetic parameters and responses to selection with emphasis on carcass composition and fatty liver quality1

2014 ◽  
Vol 92 (10) ◽  
pp. 4287-4296 ◽  
Author(s):  
L. Drouilhet ◽  
B. Basso ◽  
M.-D. Bernadet ◽  
A. Cornuez ◽  
L. Bodin ◽  
...  
Keyword(s):  
Fatty Liver ◽  
Feed Intake ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Carcass Composition ◽  
Muscovy Ducks

scholarly journals Simultaneous Bayesian estimation of genetic parameters for curves of weight, feed intake and residual feed intake in beef cattle

2021 ◽  
Author(s):  
Hadi Esfandyari ◽  
Just Jensen
Keyword(s):  
Feed Intake ◽  
Feed Efficiency ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Test Period ◽  
Random Regression ◽  
Farm Animals ◽  
Joint Analysis ◽  
Breeding Values ◽  
Covariance Functions

Abstract Rate of gain and feed efficiency are important traits in most breeding programs for growing farm animals. Rate of gain (GAIN) is usually expressed over a certain age period and feed efficiency is often expressed as residual feed intake (RFI), defined as observed feed intake (FI) minus expected feed intake based on live weight (WGT) and GAIN. However, the basic traits recorded are always WGT and FI and other traits are derived from these basic records. The aim of this study was to develop a procedure for simultaneous analysis of the basic records and then derive linear traits related to feed efficiency without retorting to any approximations. A bivariate longitudinal random regression model was employed on 13,791 individual longitudinal records of WGT and FI from 2,827 bulls of six different beef breeds tested for own performance in the period from 7 to 13 months of age. Genetic and permanent environmental covariance functions for curves of WGT and FI were estimated using Gibbs sampling. Genetic and permanent covariance functions for curves of GAIN were estimated from the first derivative of the function for WGT and finally the covariance functions were extended to curves for RFI, based on the conditional distribution of FI given WGT and GAIN. Furthermore, the covariance functions were extended to include GAIN and RFI defined over different periods of the performance test. These periods included the whole test period as normally used when predicting breeding values for GAIN and RFI for beef bulls. Based on the presented method, breeding values and genetic parameters for derived traits such as GAIN and RFI defined longitudinally or integrated over (parts of) of the test period can be obtained from a joint analysis of the basic records. The resulting covariance functions for WGT, FI, GAIN and RFI are usually singular but the method presented here do not suffer from the estimation problems associated with defining these traits individually before the genetic analysis. All results are thus estimated simultaneously, and the set of parameters are consistent.

Estimation of Genetic Parameters for Residual feed intake in Duroc pigs

2016 ◽  
Vol 50 (1) ◽  
pp. 147-153
Author(s):  
Na-Rae Song ◽  
◽  
Yong-Min Kim ◽  
Doo-Wan Kim ◽  
Soo-Jin Sa ◽  
...  
Keyword(s):  
Feed Intake ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Estimation Of Genetic Parameters

scholarly journals Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens

2019 ◽  
Vol 51 (1) ◽  
Author(s):  
Wossenie Mebratie ◽  
Per Madsen ◽  
Rachel Hawken ◽  
Hélène Romé ◽  
Danye Marois ◽  
...  
Keyword(s):  
Body Weight ◽  
Feed Intake ◽  
Broiler Chickens ◽  
Genetic Parameters ◽  
Body Weight Gain ◽  
Genetic Correlations ◽  
Residual Feed Intake ◽  
Nutrient Utilization ◽  
Male And Female ◽  
Males And Females

Abstract Background The objectives of this study were to (1) simultaneously estimate genetic parameters for BW, feed intake (FI), and body weight gain (Gain) during a FI test in broiler chickens using multi-trait Bayesian analysis; (2) derive phenotypic and genetic residual feed intake (RFI) and estimate genetic parameters of the resulting traits; and (3) compute a Bayesian measure of direct and correlated superiority of a group selected on phenotypic or genetic residual feed intake. A total of 56,649 male and female broiler chickens were measured at one of two ages ($${\text{t}}$$ t or $${\text{t}} - 6$$ t - 6 days). BW, FI, and Gain of males and females at the two ages were considered as separate traits, resulting in a 12-trait model. Phenotypic RFI ($${\text{RFI}}_{\text{P}}$$ RFI P ) and genetic RFI ($${\text{RFI}}_{\text{G}}$$ RFI G ) were estimated from a conditional distribution of FI given BW and Gain using partial phenotypic and partial genetic regression coefficients, respectively. Results Posterior means of heritability for BW, FI and Gain were moderately high and estimates were significantly different between males and females at the same age for all traits. In addition, the genetic correlations between male and female traits at the same age were significantly different from 1, which suggests a sex-by-genotype interaction. Genetic correlations between $${\text{RFI}}_{\text{P}}$$ RFI P and $${\text{RFI}}_{\text{G }}$$ RFI G were significantly different from 1 at an older age but not at a younger age. Conclusions The results of the multivariate Bayesian analyses in this study showed that genetic evaluation for production and feed efficiency traits should take sex and age differences into account to increase accuracy of selection and genetic gain. Moreover, for communicating with stakeholders, it is easier to explain results from selection on $${\text{RFI}}_{\text{G}}$$ RFI G than selection on $${\text{RFI}}_{\text{P}}$$ RFI P , since $${\text{RFI}}_{\text{G}}$$ RFI G is genetically independent of production traits and it explains the efficiency of birds in nutrient utilization independently of energy requirements for production and maintenance.

scholarly journals Genetic parameters and halothane genotype effect for residual feed intake in Piétrain growing pigs

2011 ◽  
Vol 142 (1-3) ◽  
pp. 203-209 ◽  
Author(s):  
R. Saintilan ◽  
I. Mérour ◽  
S. Schwob ◽  
P. Sellier ◽  
J. Bidanel ◽  
...  
Keyword(s):  
Feed Intake ◽  
Genetic Parameters ◽  
Residual Feed Intake ◽  
Growing Pigs ◽  
Genotype Effect

scholarly journals Divergent Selection for Residual Feed Intake Impacts Carcass Composition of Pigs on High or Low Energy Diets

2014 ◽  
Author(s):  
Emily Arkfield ◽  
Emily Hamman ◽  
Jordy E. Berger ◽  
Roger Johnson ◽  
Jennifer Young ◽  
...  
Keyword(s):  
Feed Intake ◽  
Residual Feed Intake ◽  
Divergent Selection ◽  
Carcass Composition ◽  
Low Energy ◽  
Selection For
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