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Publication
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| Title of Article |
Genetic Evaluation of Egg Production Curve in
Thai Native Chickens by Random Regression and Spline Models
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| Date of Acceptance |
6 August 2016 |
| Journal |
| Title of Journal |
Poultry Science |
| Standard |
SCOPUS |
| Institute of Journal |
Oxford University Press (OUP) on behalf of the Poultry Science Association, Inc. |
| ISBN/ISSN |
Genetic Evaluation of Egg Production Curve in Thai Native Chickens by Random Regression and Spline Models |
| Volume |
96 |
| Issue |
2 |
| Month |
Agust |
| Year of Publication |
2017 |
| Page |
274-281 |
| Abstract |
The objective of this research is to investigate an appropriate random regression models with various covariance functions, for the genetic evaluation of test-day egg production. Data included 7,884 monthly egg production records from 657 Thai native chickens (Pradu Hang Dam) which were obtained during the first to sixth generation, and were born during 2007 to 2014, at the Research and Development Network Center for Animal Breeding (Native Chickens), Khon Kaen University. Average annual and monthly egg productions were 117±41 and 10.20±6.40 eggs, respectively. Nine random regression models were analyzed using the Wilmink function (WM), Koops and Grossman function (KG), Legendre polynomials functions with 2nd, 3rd, and 4th orders (LG2, LG3, LG4), and Spline functions with 4, 5, 6, and 8 knots (SP4, SP5, SP6, and SP8). All covariance functions were nested within the same additive genetic and permanent environmental random effects, and the variance components were estimated by Restricted Maximum Likelihood (REML). In model comparisons, mean square error (MSE) and the coefficient of detemination (R2) calculated the goodness of fit; and the correlation between observed and predicted values (ρ_(y_i,y ̂_i^r )) were used to calculate the cross-validated predictive abilities. We found that the covariance functions of SP5, SP6, and SP8 proved appropriate for the genetic evaluation of the egg production curves for Thai native chickens. The estimated heritability of monthly egg production ranged from 0.07 to 0.39, the highest heritability was found during the first to third months of egg production. In conclusion, the spline functions within monthly egg production can be applied to breeding programs for the improvement of both egg number and persistence of egg production. |
| Keyword |
egg production curve, genetic parameter, random regression, spline models, Thai native chickens |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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