Estimation of genetic parameters and season effects for semen traits in three pig breeds of South China

Li, Xiujin; Jiang, Bo; Wang, Xibin; Liu, Xiaohong; Zhang, Qin; Chen, Yaosheng

doi:10.1111/jbg.12393

Cited by 14 publications

(19 citation statements)

References 25 publications

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“…Our data are also comparable to those published for other species. For example, Li et al [16] reported similar heritabilities in pigs (Landrace boars), ranging from 0.11 to 0.23 (for the MOT and SC traits, respectively), and Karoui et al [7], showed a similar pattern, obtaining heritabilities from 0.16 to 0.22 (for the MOT and VOL traits, respectively) in Holstein bulls. In contrast, other researchers found higher heritabilities for the MOT trait, surpassing those found in the VOL or SC traits.…”

Section: Discussionmentioning

confidence: 88%

“…For example, in Ethiopian sheep, Rege et al [9] found values of 0.32 and 0.27 for the MOT trait in 9 and 12-month-old rams, respectively. For Holstein bulls, Druet et al [5] obtained a heritability of 0.43, and Li et al [16], found values of 0.26 and 0.42 in Yorkshire and Duroc pig breeds, respectively. Heritability estimates found in the present study and the variability found in different breeds and species point towards the opportunity for genetic improvement of some semen traits through selective breeding.…”

Section: Discussionmentioning

confidence: 98%

“…Milk yield is one of the most important economic traits in dairy sheep, but in practice (for genetic improvement), fertility is also a critical trait for the economic efficiency of dairy sheep flocks [14]. According to different studies in other species, semen quantity and quality are the main factors affecting the fertility of rams used for AI [15,16]. AI is becoming increasingly essential within sheep breeding programs, allowing the dissemination of the genetic gain to the whole population.…”

Section: Discussionmentioning

confidence: 99%

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Estimation of the Genetic Parameters for Semen Traits in Spanish Dairy Sheep

Pelayo

Ramón

Granado-Tajada

et al. 2019

Animals

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Simple Summary:The limited studies addressing the estimation of genetic parameters for ram semen traits in different breeds show a wide variation, highlighting the importance of studying these traits for individual breeds. Therefore, this work aimed to estimate genetic parameters for traits related to semen production and quality in five dairy sheep breeds. For that, ejaculates of rams from Assaf, Churra, Latxa Cara Negra, Latxa Cara Rubia, and Manchega breeds were analyzed. Estimates of the genetic covariance structure were obtained with multiple-trait animal models using the average information REML (restricted maximum likelihood) method in the BLUPF90 family of programs. Repeatability estimates for all the traits were also calculated. Heritability estimates were of low to moderate magnitude, although the estimates differed among the breeds. The estimated genetic correlations among the three semen traits showed adequate precision only in the Manchega (MAN) breed. The heritability estimates reported here suggest that improvement of these traits may be achieved by genetic selection.Abstract: This work aimed to estimate genetic parameters for traits related to semen production and quality in Spanish dairy sheep breeds. For that, ejaculates of rams from Assaf, Churra, Latxa Cara Negra, Latxa Cara Rubia, and Manchega breeds were analyzed to measure volume, semen concentration, and motility. Estimates of variance components were obtained with multiple-trait animal models using the average information REML method in the BLUPF90 family of programs. Repeatability estimates for all the traits were also calculated, with values ranging from 0.077 to 0.304 for the motility and the semen concentration traits, respectively. Heritability estimates were of low to moderate magnitude, ranging from 0.014 (motility in Latxa Cara Rubia) to 0.198 (volume in Churra), although the estimates differed among the breeds. The estimated genetic correlations among the three semen traits showed adequate precision only in the MAN breed. The heritability estimates for the semen traits reported in the present paper suggest an adequate response to selection. The practical extension of these results to the other breeds studied here will be secondary to the estimation of more reliable genetic correlations in these breeds.

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Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

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Estimation of the Genetic Parameters for Semen Traits in Spanish Dairy Sheep

Pelayo

Ramón

Granado-Tajada

et al. 2019

Animals

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“…Semen quality is affected by a number of factors, such as the age of collection [34], season [52], breed [53], and individual response to the environment [54]. Current studies on the semen quality of clones and non-clones indicate that cloning technology can also affect semen quality [21,34], but contradictory results are observed in some parameters.…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Growth and Reproductive Performance of Cloned Pietrain Boars

Shi

Tan

Luo

et al. 2020

Animals

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How to maximize the use of the genetic merits of the high-ranking boars (also called superior ones) is a considerable question in the pig breeding industry, considering the money and time spent on selection. Somatic cell nuclear transfer (SCNT) is one of the potential ways to answer the question, which can be applied to produce clones with genetic resources of superior boar for the production of commercial pigs. For practical application, it is essential to investigate whether the clones and their progeny keep behaving better than the “normal boars”, considering that in vitro culture and transfer manipulation would cause a series of harmful effects to the development of clones. In this study, 59,061 cloned embryos were transferred into 250 recipient sows to produce the clones of superior Pietrain boars. The growth performance of 12 clones and 36 non-clones and the semen quality of 19 clones and 28 non-clones were compared. The reproductive performance of 21 clones and 25 non-clones were also tested. Furthermore, we made a comparison in the growth performance between 466 progeny of the clones and 822 progeny of the non-clones. Our results showed that no significant difference in semen quality and reproductive performance was observed between the clones and the non-clones, although the clones grew slower and exhibited smaller body size than the non-clones. The F1 progeny of the clones showed a greater growth rate than the non-clones. Our results demonstrated through the large animal population showed that SCNT manipulation resulted in a low growth rate and small body size, but the clones could normally produce F1 progeny with excellent growth traits to bring more economic benefits. Therefore, SCNT could be effective in enlarging the merit genetics of the superior boars and increasing the economic benefits in pig reproduction and breeding.

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“…However, both genetic and population diversity can influence the variance components. In addition, most of the studies related to semen traits are based on animal models or repeatability models (Wolf, 2009b;Marques et al, 2017;Li et al, 2019), and there is little research using random RR models for semen traits. Compared with animal models and repeatability models (Oh et al, 2006), the RR model demonstrated change of meaning and covariance along with age (Schaeffer, 2004).…”

Section: Introductionmentioning

confidence: 99%

Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars

Hong

Yan

et al. 2022

Front. Genet.

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It has been proven that the random regression model has a great advantage over the repeatability model in longitudinal data analysis. At present, the random regression model has been used as a standard analysis method in longitudinal data analysis. The aim of this study was to estimate the variance components and heritability of semen traits over the reproductive lifetime of boars. The study data, including 124,941 records from 3,366 boars, were collected from seven boar AI centers in South China between 2010 and 2019. To evaluate alternative models, we compared different polynomial orders of fixed, additive, and permanent environment effects in total 216 models using Bayesian Information Criterions. The result indicated that the best model always has higher-order polynomials of permanent environment effect and lower-order polynomials of fixed effect and additive effect regression. In Landrace boars, the heritabilities ranged from 0.18 to 0.28, 0.06 to 0.43, 0.03 to 0.14, and 0.05 to 0.24 for semen volume, sperm motility, sperm concentration, and abnormal sperm percentage, respectively. In Large White boars, the heritabilities ranged from 0.20 to 0.26, 0.07 to 0.15, 0.10 to 0.23, and 0.06 to 0.34 for semen volume, sperm motility, sperm concentration, and abnormal sperm percentage, respectively.

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Estimation of genetic parameters and season effects for semen traits in three pig breeds of South China

Cited by 14 publications

References 25 publications

Estimation of the Genetic Parameters for Semen Traits in Spanish Dairy Sheep

Estimation of the Genetic Parameters for Semen Traits in Spanish Dairy Sheep

Assessment of the Growth and Reproductive Performance of Cloned Pietrain Boars

Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars

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