Genetic analysis for sow stayability at different parities in purebred Landrace and Large White pigs

Ogawa, Shinichiro; Kimata, Makoto; Ishii, Kazuo; Uemoto, Yoshinobu; Satoh, Masahiro

doi:10.1111/asj.13599

Cited by 8 publications

(5 citation statements)

References 63 publications

(192 reference statements)

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“…When phenotypic records are obtained under various environments, it is thought possible to increase the accuracy of estimated breeding values by including their environmental effects in the genetic evaluation model. For example, when records for breeding value estimation are collected over a long period of time, annual and seasonal or monthly effects may be included as fixed effects (e.g., Dalla Costa et al, 2007; Ogawa et al, 2021; Ogawa, Kimata, et al, 2022; Ogawa, Okamura, et al, 2023; Ogawa, Takahashi, & Satoh, 2023). The records may also include farm or regional effects when data are collected over a wide area (e.g., Ogawa et al, 2021; Ogawa, Kimata, et al, 2022; Ogawa, Okamura, et al, 2023; Ogawa, Takahashi, & Satoh, 2023; Tummaruk et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…For example, when records for breeding value estimation are collected over a long period of time, annual and seasonal or monthly effects may be included as fixed effects (e.g., Dalla Costa et al, 2007; Ogawa et al, 2021; Ogawa, Kimata, et al, 2022; Ogawa, Okamura, et al, 2023; Ogawa, Takahashi, & Satoh, 2023). The records may also include farm or regional effects when data are collected over a wide area (e.g., Ogawa et al, 2021; Ogawa, Kimata, et al, 2022; Ogawa, Okamura, et al, 2023; Ogawa, Takahashi, & Satoh, 2023; Tummaruk et al, 2010). Particularly in pigs, temperature is thought to be a major factor affecting seasonal and regional effects (Hara et al, 2022; Ogawa, Okamura, et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Estimation of off‐farm temperatures and temperature‐humidity index from meteorological observation records

Satoh,

Fukuzawa,

Ogawa

et al. 2023

Animal Science Journal

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The objective of this study was to devise an optimal method for estimating air temperatures outside pig farms to be able to evaluate the genetic performance of pigs. Using daily temperature data from Japan Meteorological Agency meteorological stations, we investigated the optimal number of observation weather stations (number of records), and methods of estimating outside temperature when temperature records are missing. We also considered the possibility of using relative humidity data. Our results showed that it is possible to use records from the three nearest weather stations to estimate off‐farm ambient temperatures. We also concluded that estimates of outside temperatures when records are missing can be made by using data from at least one weather station that holds a full set of data. The correlation coefficients between the true THI (temperature‐humidity index) and the estimated THI and the average daily temperature were almost the same, indicating that the daily average temperature can be used instead of estimated THI.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of off‐farm temperatures and temperature‐humidity index from meteorological observation records

Satoh,

Fukuzawa,

Ogawa

et al. 2023

Animal Science Journal

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“…Now, improving sow lifetime productivity is a pressing challenge to efficient pork production, although the heritabilities of litter size traits at birth have been estimated to be low (e.g., Tomiyama et al 2011;Ogawa et al 2019a;. Potentials have been assessed of several approaches, such as choosing a statistical model more appropriate to estimate breeding values for number born alive (NBA) in terms of the parity order of dam (Ogawa et al 2019b;Konta et al 2020), exploring a preferable trait to assist in genetically improving NBA (Konta et al 2019;Ogawa et al 2019a;, and investigating the possibility of genetically improving sow longevity (Ogawa et al 2021a). A possible different approach is to perform a large-scale genetic evaluation across farms because this might predict breeding values that have higher accuracies by using more phenotypic information obtained from relatives reared on different farms and that can be directly compared between individuals on different farms.…”

Section: Introductionmentioning

confidence: 99%

An attempt of using public ambient temperature data in swine genetic evaluation for litter-size traits at birth in Japan

et al. 2022

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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.

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“…Now, improving sow lifetime productivity is a pressing challenge to efficient pork production, although the heritabilities of litter size traits at birth have been estimated to be low (e.g., Tomiyama et al 2011;Ogawa et al 2019a;Ogawa et al 2020). Potentials have been assessed of several approaches, such as choosing a statistical model more appropriate to estimate breeding values for number born alive (NBA) in terms of the parity order of dam (Ogawa et al 2019b;Konta et al 2020), exploring a preferable trait to assist in genetically improving NBA (Konta et al 2019;Ogawa et al 2019a;Ogawa et al 2020), and investigating the possibility of genetically improving sow longevity (Ogawa et al 2021a). A possible different approach is to perform a large-scale genetic evaluation across farms because this might predict breeding values that have higher accuracies by using more phenotypic information obtained from relatives reared on different farms and that can be directly compared between individuals on different farms.…”

Section: Introductionmentioning

confidence: 99%

“…2019a; Ogawa et al . 2020), and investigating the possibility of genetically improving sow longevity (Ogawa et al . 2021a).…”

Section: Introductionmentioning

confidence: 99%

An attempt of using public ambient temperature data in swine genetic evaluation for litter size traits at birth in Japan

Hara

Ogawa

Ohnishi

et al. 2022

Preprint

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To obtain the fundamental information on using ambient temperature information in developing the model for routine swine genetic evaluation in Japan, we analyzed total number born (TNB), number born alive (NBA), and number stillborn (NSB) collected at a Japanese farm, together with off-farm ambient temperature measured at a nearest Automated Meteorological Data Acquisition System station. 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). Patterns of the effects of daily maximum temperature of farrowing day estimated using model 3 was 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 greater than only considering either of farrowing season and month (models 1 and 2). Estimated heritability was stable among the models and the rank correlation of predicted breeding values between models was >0.98 for all traits. The results indicate the possibility that using public ambient temperature can capture a large part of the phenotypic variability in litter size traits at birth caused by the seasonality in Japan and do not harm, at least, the performance of genetic evaluation. This study could support the availability of public meteorological data in flexible developing operational models for future swine genetic evaluation in Japan.

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Genetic analysis for sow stayability at different parities in purebred Landrace and Large White pigs

Cited by 8 publications

References 63 publications

Estimation of off‐farm temperatures and temperature‐humidity index from meteorological observation records

Estimation of off‐farm temperatures and temperature‐humidity index from meteorological observation records

An attempt of using public ambient temperature data in swine genetic evaluation for litter-size traits at birth in Japan

An attempt of using public ambient temperature data in swine genetic evaluation for litter size traits at birth in Japan

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