scholarly journals Genetics of residual feed intake in growing pigs: Relationships with production traits, and nitrogen and phosphorus excretion traits1

2013 ◽  
Vol 91 (6) ◽  
pp. 2542-2554 ◽  
Author(s):  
R. Saintilan ◽  
I. Mérour ◽  
L. Brossard ◽  
T. Tribout ◽  
J. Y. Dourmad ◽  
...  
2020 ◽  
Vol 98 (Supplement_2) ◽  
pp. 75-76
Author(s):  
Camren l Maierle ◽  
Andrew R Weaver ◽  
Eugene Felton ◽  
Scott P Greiner ◽  
Scott A Bowdridge

Abstract Residual feed intake (RFI) is quickly becoming the preferred measurement of efficiency in many species due to its inherent independence of most other important production traits. Making meaningful improvement in feed efficiency of sheep will require a consistent methodology to accurately identify efficient individuals. Due to difficulty in measuring this trait efforts must be made to incorporate efficiency data in large-scale genetic evaluations. The aim of this study was to evaluate lambs in a feedlot with large-scale genetic evaluations for feed efficiency calculated by residual feed intake (RFI) utilizing a Growsafe™ system. RFI was calculated by subtracting expected intake from actual intake. Expected intake was determined by regressing metabolic body size of mid-test weight. Regression determined ADG on actual intake for individuals in the population. Texel (n = 58) and Katahdin (n = 118) lambs were placed in a feedlot and fed in separate feeding trials, a complete pellet ad libitum as the sole source of nutrition. In this environment Texel and Katahdin lambs had expected ADG values (0.27 kg/day, 0.32 kg/day respectively) and actual intake data (2154.17 g/day, 1909.33 g/day respectively. After a period of adaptation, Texel average intake was determined over a period of 27 consecutive days and used to calculate individual RFI within the test population. Observable ranges of RFI (-0.62 – +0.62) were seen in the Texel lambs. At the start of the Katahdin trial lambs were separated by sex and FEC treatment. After a period of adaptation, Katahdin average intake was determined over a period of 42 consecutive days and used to calculate individual RFI within the test population. Observable ranges of RFI (-0.53 – +0.50) were seen in the Katahdin lambs as well. In both feeding trials RFI appeared to be normally distributed. Use of this technology may be useful in identifying superior individuals for feed efficiency.


2016 ◽  
Vol 95 (9) ◽  
pp. 1999-2010 ◽  
Author(s):  
L. Drouilhet ◽  
R. Monteville ◽  
C. Molette ◽  
M. Lague ◽  
A. Cornuez ◽  
...  

2003 ◽  
Vol 83 (4) ◽  
pp. 749-754 ◽  
Author(s):  
Z. Zhang ◽  
C. M. Nyachoti ◽  
S. Arntfield ◽  
W. Guenter ◽  
S. Cenkowski

The effect of micronization of peas and enzyme supplementation on performance, nitrogen and phosphorus excretion as well as manure output was investigated in a study with 12 Cotswold gilts (26.9 ± 3.6 kg initial body weight). Three diets based on barley-raw peas (control), barley-micronized peas, or barley-micronized peas plus a multi-enzyme blend were used. The study was conducted in two blocks and within a block; each diet was randomly assigned to four pigs to give a total of eight observations per diet. Pigs fed micronized peas and micronized peas plus enzyme diets had higher (P < 0.05) feed conversion than the control. Compared with the control, micronization of peas reduced (P < 0.05) wet and dry fecal output by 33 and 25%, respectively. Urine volume was not influenced (P > 0.05) by dietary treatment. Total fecal phosphorus excretion was lower (P < 0.001) in gilts fed the micronized peas or micronized peas plus enzyme diets compared with the control. Micronization of peas reduced (P < 0.05) total nitrogen excretion in pig manure by 21.5% (17.39 vs. 13.65 g d-1). In conclusion, formulating pig grower diets with micronized peas improves nitrogen and phosphorus utilization and reduces total manure volume. Key words: Pigs, nitrogen, phosphorus, manure volume, micronized peas


2018 ◽  
Vol 96 (suppl_2) ◽  
pp. 256-257
Author(s):  
S A Hershorin ◽  
R Manjarin ◽  
A M Emond ◽  
S Id-Lahoucine ◽  
P Fonseca ◽  
...  

2019 ◽  
Vol 56 (1) ◽  
pp. 27-31
Author(s):  
Yun-sheng Zhang ◽  
Ya-xi Xu ◽  
Wen-lei Fan ◽  
Zheng-kui Zhou ◽  
Zhi-ying Zhang ◽  
...  

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Ingrid David ◽  
Van-Hung Huynh Tran ◽  
Hélène Gilbert

Abstract Background Residual feed intake (RFI) is one measure of feed efficiency, which is usually obtained by multiple regression of feed intake (FI) on measures of production, body weight gain and tissue composition. If phenotypic regression is used, the resulting RFI is generally not genetically independent of production traits, whereas if RFI is computed using genetic regression coefficients, RFI and production traits are independent at the genetic level. The corresponding regression coefficients can be easily derived from the result of a multiple trait model that includes FI and production traits. However, this approach is difficult to apply in the case of multiple repeated measurements of FI and production traits. To overcome this difficulty, we used a structured antedependence approach to account for the longitudinality of the data with a phenotypic regression model or with different genetic and environmental regression coefficients [multi- structured antedependence model (SAD) regression model]. Results After demonstrating the properties of RFI obtained by the multi-SAD regression model, we applied the two models to FI and production traits that were recorded for 2435 French Large White pigs over a 10-week period. Heritability estimates were moderate with both models. With the multi-SAD regression model, heritability estimates were quite stable over time, ranging from 0.14 ± 0.04 to 0.16 ± 0.05, while heritability estimates showed a U-shaped profile with the phenotypic regression model (ranging from 0.19 ± 0.06 to 0.28 ± 0.06). Estimates of genetic correlations between RFI at different time points followed the same pattern for the two models but higher estimates were obtained with the phenotypic regression model. Estimates of breeding values that can be used for selection were obtained by eigen-decomposition of the genetic covariance matrix. Correlations between these estimated breeding values obtained with the two models ranged from 0.66 to 0.83. Conclusions The multi-SAD model is preferred for the genetic analysis of longitudinal RFI because, compared to the phenotypic regression model, it provides RFI that are genetically independent of production traits at all time points. Furthermore, it can be applied even when production records are missing at certain time points.


2011 ◽  
Vol 142 (1-3) ◽  
pp. 203-209 ◽  
Author(s):  
R. Saintilan ◽  
I. Mérour ◽  
S. Schwob ◽  
P. Sellier ◽  
J. Bidanel ◽  
...  

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