Effects of correcting missing daily feed intake values on the genetic parameters and estimated breeding values for feeding traits in pigs |
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| Authors: | Tetsuya Ito Kazuo Fukawa Mai Kamikawa Satoshi Nikaidou Masaaki Taniguchi Aisaku Arakawa Genki Tanaka Satoshi Mikawa Tsutomu Furukawa Kensuke Hirose |
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| Affiliation: | 1. Central Research Institute for Feed and Livestock, ZEN‐NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido, Japan;2. Graduate School of Agriculture, Tokyo University of Agriculture, Atsugi, Kanagawa, Japan;3. Technical Section, ZEN‐NOH LIVESTOCK CO., LTD., Koto Ward, Tokyo, Japan;4. Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan;5. Faculty of Agriculture, Tokyo University of Agriculture, Atsugi, Kanagawa, Japan;6. East Japan GGP Farm, ZEN‐NOH LIVESTOCK CO., LTD., Shizukuishi, Iwate, Japan |
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| Abstract: | Daily feed intake (DFI) is an important consideration for improving feed efficiency, but measurements using electronic feeder systems contain many missing and incorrect values. Therefore, we evaluated three methods for correcting missing DFI data (quadratic, orthogonal polynomial, and locally weighted (Loess) regression equations) and assessed the effects of these missing values on the genetic parameters and the estimated breeding values (EBV) for feeding traits. DFI records were obtained from 1622 Duroc pigs, comprising 902 individuals without missing DFI and 720 individuals with missing DFI. The Loess equation was the most suitable method for correcting the missing DFI values in 5–50% randomly deleted datasets among the three equations. Both variance components and heritability for the average DFI (ADFI) did not change because of the missing DFI proportion and Loess correction. In terms of rank correlation and information criteria, Loess correction improved the accuracy of EBV for ADFI compared to randomly deleted cases. These findings indicate that the Loess equation is useful for correcting missing DFI values for individual pigs and that the correction of missing DFI values could be effective for the estimation of breeding values and genetic improvement using EBV for feeding traits. |
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| Keywords: | estimated breeding values feeding traits genetic parameter pig regression equation |
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