Genetic parameter estimation for number born alive at different parities in Landrace and Large White pigs

Ohnishi

Ishii

et al. 2020

Animal Science Journal

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Heritabilities of litter size traits at birth (total number born (TNB), number born alive (NBA), and number still born (NSB)) and their genetic correlations with body measurement (body height, body length, front width (FW), chest width (CW), hind width, chest depth, chest girth, front cannon circumference, and rear cannon circumference) and production traits (ages at the start and end of performance testing (D30 and D105), average daily gain (ADG), backfat thickness, and loin muscle area) in purebred Duroc pigs were estimated. Records of performance testing for 2,835 animals and farrowing records of 1,168 litters from 437 dams were used. Genetic parameters were estimated using single‐trait and two‐trait animal models. Permanent environment effect was considered for litter size traits and common litter environmental effect was considered for body measurement and production traits. The estimated heritability was 0.10 ± 0.06 for TNB, 0.16 ± 0.06 for NBA, and 0.08 ± 0.05 for NSB. Positive genetic correlation of NBA was estimated with D30, D105, and ADG (0.51, 0.11, and 0.39). The estimated genetic correlation of NBA was 0.47 ± 0.17 with FW and 0.55 ± 0.18 with CW, implying that FW and CW could be promising indicator traits for efficiently improving NBA.

Section: Introductionmentioning

confidence: 99%

Genetic relationship between litter size traits at birth and body measurement and production traits in purebred Duroc pigs

Ohnishi

Ishii

et al. 2020

Animal Science Journal

Self Cite

“…a See in footnote in Table 3. of NBA was also estimated to be low (Table 3). Ogawa et al (2019b) estimated the genetic parameters of NBA in the same populations as in this study using a multiple-trait animal model assuming all parities to be mutually exclusive traits. They reported the estimated genetic correlations between the first and the second parities to be 0.85 for Landrace and 0.84 for Large White, and slightly lower than those between other neighboring parities.…”

Section: Discussionmentioning

confidence: 99%

Comparison of two models to estimate genetic parameters for number of born alive in pigs

Konta

Kimata³

et al. 2020

Animal Science Journal

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The performance of the two‐trait animal model that regards the first parity and later parities as two different traits in estimating genetic parameters for number of born alive (NBA) was examined using real and simulated data. Genetic parameters for NBA were estimated in purebred Landrace and Large White pigs using a single‐trait repeatability model (Model 1) that regards all parities as the same trait and a two‐trait animal model (Model 2) that regards the first and the later parities as different traits. For Model 2, the permanent environmental effect was fitted to only the records of the later parities. Heritability for NBA estimated using Model 1 was 0.12 for Landrace and 0.11 for Large White. Estimated heritability for NBA of the first parity and the later parities was 0.21 and 0.16, respectively, for Landrace; 0.18 and 0.16, respectively, for Large White obtained using Model 2, and higher than those in both breeds obtained using Model 1. Further results based on data simulated using the Monte Carlo method suggest that estimated additive genetic variance could be more biased using Model 2 than Model 1.

“…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 .…”

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

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.