TY - JOUR
T1 - An attempt of using public ambient temperature data in swine genetic evaluation for litter-size traits at birth in Japan
AU - Hara, Hitomi
AU - Ogawa, Shinichiro
AU - Ohnishi, Chika
AU - Ishii, Kazuo
AU - Uemoto, Yoshinobu
AU - Satoh, Masahiro
N1 - Funding Information:
This work was supported by a grant from the Ministry of Agriculture, Forestry, and Fisheries of Japan (Development of Breeding Technology for Animal Life Production).
Publisher Copyright:
© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing.
PY - 2022/5/31
Y1 - 2022/5/31
N2 - 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.
AB - 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.
KW - genetic parameter estimation
KW - heat
KW - meteorological observation data
KW - number born alive
KW - number stillborn
KW - on- A nd off-farm ambient temperature
KW - pig breeding
KW - season
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U2 - 10.1071/AN21463
DO - 10.1071/AN21463
M3 - Article
AN - SCOPUS:85141782343
SN - 1836-0939
VL - 62
SP - 1488
EP - 1500
JO - Animal Production Science
JF - Animal Production Science
IS - 15
ER -