Estimation of genetic parameters for farrowing traits in purebred Landrace and Large White pigs

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

doi:10.1111/asj.13120

Cited by 48 publications

(92 citation statements)

References 26 publications

(81 reference statements)

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“…We analyzed different datasets for the litter traits at farrowing and weaning. The whole dataset for the litter trait at farrowing was slightly larger than our previous dataset (Ogawa et al, ), but the results were very similar (Table ). In this study, information about the treatment of cross‐fostering was recorded only on the two GGP farms.…”

Section: Resultssupporting

confidence: 56%

“…Oh, Lee, and See () also estimated the heritability of LWW to be higher than that of LSW. Similarly, previous studies estimated the heritabilities of LWB and MWB to be higher than that of NBA (Damgaard et al, ; Hermesch, Luxford, & Graser, ; Ogawa et al, ).…”

Section: Resultsmentioning

confidence: 65%

“…Estimated additive genetic correlations in both breeds between litter traits at farrowing and those at weaning are shown in Table . In all cases, the estimated genetic correlation of LSW was higher with NBA than that with TNB, meaning that NBA is a more useful indicator trait than TNB (Ogawa et al, ; Satoh, ). Estimated values differed slightly between datasets.…”

Section: Resultsmentioning

confidence: 95%

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Genetic relationship of litter traits between farrowing and weaning in Landrace and Large White pigs

Ogawa

Konta

Kimata³

et al. 2019

Animal Science Journal

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We estimated genetic parameters in Landrace and Large White pig populations for litter traits at farrowing (total number born, number born alive, number stillborn, total litter weight at birth (LWB), and mean litter weight at birth) and those at weaning (litter size at weaning (LSW), total litter weight at weaning (LWW), mean litter weight at weaning (MWW), and survival rate from farrowing to weaning). We analyzed 65,579 records at farrowing and 6,306 at weaning for Landrace, and 52,557 and 5,360, respectively, for Large White. Single‐trait and two‐trait repeatability animal models were exploited to estimate heritability and genetic correlation respectively. Heritability estimates of LSW were 0.09 for Landrace and 0.08 for Large White. Genetic correlations of LSW with MWW were –0.43 for Landrace and –0.24 for Large White. Genetic correlations of LSW with LWW and LWB ranged from 0.5 to 0.6. The genetic correlation of MWW with LWW was positive, but that with LWB was negligible. The results indicate that utilizing LWW or LWB could improve LSW efficiently, despite the antagonistic genetic correlation between LSW and MWW.

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Section: Resultssupporting

confidence: 56%

Section: Resultsmentioning

confidence: 65%

Section: Resultsmentioning

confidence: 95%

See 1 more Smart Citation

Genetic relationship of litter traits between farrowing and weaning in Landrace and Large White pigs

Ogawa

Konta

Kimata³

et al. 2019

Animal Science Journal

Self Cite

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“…68,702 records of NBA for 12,857 Landrace dams and 55,755 records for 10,615 Large White dams born during 1999 to 2016 were provided by Cimco Corporation (Tokyo, Japan), operating two great grandparent (GGP) and grandparent (GP) farms by Specific Pathogen Free system located from northern to southern parts of Japan. Details about defining NBA were in Ogawa et al (). Pedigree data included 79,224 Landrace and 68,615 Large White animals.…”

Section: Methodsmentioning

confidence: 99%

“…Fitting a single‐trait repeatability model to records at different parities assumes that these are repeated measurements of the same trait. But the response to selection using this model was low in some cases, because not only is the heritability of NBA low (e.g., Damgaard, Rydhmer, Løvendahl, & Grandinson, ; Lopez, Kim, Makumbe, Song, & Seo, ; Ogawa et al, ), but possibly also the records at different parities were not considered as those for genetically different traits (e.g., Baselga, Gomez, Cifre, & Camacho, ; Irgang, Fávero, & Kennedy, ). Several authors hypothesized that partly different genes control reproductive traits in successive parities (Hermesch, Luxford, & Graser, ; Noguera, Varona, Babot, & Estany, ; Roehe & Kennedy, ).…”

Section: Introductionmentioning

confidence: 99%

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

Ogawa

Konta

Kimata³

et al. 2019

Animal Science Journal

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We estimated genetic parameters for number born alive (NBA) from the first to the seventh parities in Landrace and Large White pigs using three models. Analyzing 55,160 farrowing records for 12,677 Landrace dams and 43,839 for 10,405 Large White dams, we used a single‐trait animal model to estimate the heritability of NBA at each parity and a two‐trait animal model and a single‐trait random regression model to estimate the genetic correlations between parities. Heritability estimates of NBA at each parity ranged from 0.08 to 0.13 for Landrace and from 0.05 to 0.16 for Large White. Estimated genetic correlations between parities in all cases were positive. Genetic correlations between the first and second parities were slightly lower than those between other neighboring parities. Genetic correlations between more distant parities tended to be lower, in some cases <0.8. The results indicate the necessity to investigate the applicability of evaluating NBA at different parities as different traits (e.g., the first and later parities), although a repeatability model might still be reasonable.

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Importance and variability of the paternal component in sow reproductive traits

Cieleń,

Sell-Kubiak

2024

J Appl Genetics

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Reproductive traits are an integral part of the goals of the breeding programs that contribute to the economic success of production. Reproductive phenotypes such as litter size, number of piglets born alive, or litter weight at birth are mainly attributed to females. Thus, the maternal components can be found by default in quantitative genetics’ animal models. Still, paternal contribution to variance components should not be discarded. In this review, we indicate the importance of paternal effects in pig breeding by describing both the biology and genetics of boars’ traits, the use of (non-)genetic service sire effects in quantitative genetic models for traits measured on females, and genes involved in male reproduction. We start by describing the important biological traits of boars that have the most important effect on their reproductive abilities, i.e., sexual maturity, sperm quality, and testes parameters. Then we move to the possible environmental effects that could affect those traits of boars (e.g., feed, temperature). The main part of the review in detail describes the genetics of boars’ reproductive traits (i.e., heritability) and their direct effect on reproductive traits of females (i.e., genetic correlations). We then move to the use of both genetic and non-genetic service sire effects in quantitative models estimated as their percentage in the total variance of traits, which vary depending on the breed from 1 to 4.5% or from 1 to 2%, respectively. Finally, we focus on the description of candidate genes and confirmed mutations affecting male reproduction success: IGF2, Tgm8, ESR1, ZSWIM7, and ELMO1. In conclusion, the observed variance of paternal effects in female reproduction traits might come from various attributes of boars including biological and genetic aspects. Those attributes of boars should not be neglected as they contribute to the success of female reproductive traits.

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Estimation of genetic parameters for farrowing traits in purebred Landrace and Large White pigs

Cited by 48 publications

References 26 publications

Genetic relationship of litter traits between farrowing and weaning in Landrace and Large White pigs

Genetic relationship of litter traits between farrowing and weaning in Landrace and Large White pigs

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

Importance and variability of the paternal component in sow reproductive traits

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