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- Title
An attempt of using public ambient temperature data in swine genetic evaluation for litter-size traits at birth in Japan<sup>†</sup>.
- Authors
Hara, Hitomi; Ogawa, Shinichiro; Ohnishi, Chika; Ishii, Kazuo; Uemoto, Yoshinobu; Satoh, Masahiro
- Abstract
Context: Large-scale genetic evaluation is promising for efficiently improving sow lifetime productivity, and therefore, a reasonable operational model should be pursued to analyse phenotypic data collected from around Japan, where unique seasonality exists. However, the information on establishing the model is currently insufficient. Aims: To obtain the fundamental information on using ambient temperature information in developing the model for routine swine genetic evaluation in Japan, by analysing total number born, number born alive, and number stillborn collected at a Japanese farm, together with off-farm ambient temperature measured at the nearest Automated Meteorological Data Acquisition System station. Methods: Five repeatability animal models were exploited, considering the effects of farrowing season (Model 1), farrowing month (Model 2), quadratic regressions of daily maximum ambient temperature of farrowing day (Model 3), season and temperature (Model 4), or month and temperature (Model 5). Key results: Patterns of the effects of daily maximum temperature of farrowing day estimated using Model 3 were similar to those of farrowing season by Model 1 and those of farrowing month by Model 2. Adding the effect of daily maximum temperature of farrowing day (Models 4 and 5) could explain phenotypic variability better than only considering either of farrowing season or month (Models 1 and 2). Estimated heritability was stable among the models and the rank correlation of predicted breeding values among models was >0.98 for all traits. Conclusions: The results indicated the possibility that using public ambient temperature can capture a large part of the phenotypic variability in litter-size traits at birth caused by seasonality in Japan. Implications: This study could support the availability of public meteorological data in the development of flexible operational models for future swine genetic evaluation in Japan. Large-scale national genetic evaluation in Japan, where unique seasonality exists, is promising for efficiently improving sow lifetime productivity. We analysed litter-size traits at birth from a farm in Japan, together with off-farm ambient temperature measured at a nearby weather station, showing that using ambient temperature captured a large part of the phenotypic variability caused by seasonality. The results imply that public meteorological data are useful in developing better operational models for swine genetic evaluation in Japan.
- Subjects
JAPAN; DATA acquisition systems; SWINE; PHENOTYPIC plasticity; METEOROLOGICAL stations; GENETIC models
- Publication
Animal Production Science, 2022, Vol 62, Issue 15, p1488
- ISSN
1836-0939
- Publication type
Article
- DOI
10.1071/AN21463