Literature DB >> 15721663

Estimation of genetic parameters of semen characteristics and reproductive traits in AI boars.

J Smital1, J Wolf, L L De Sousa.   

Abstract

(Co)variance components and further genetic parameters of boar semen characteristics and reproductive traits were estimated using the REML procedure applied to multi-trait animal models. The calculations were based on data from 210,733 ejaculates stemming from 2862 AI boars and collected from 1990 to 1997 in insemination stations for boars in the Czech Republic. Equal model equations for all traits included the AI station and the breed or breed combination as fixed effects, the interval between two collections for the boar as covariable and the animal and residual effects as random effects. The following heritabilities were estimated: semen volume 0.58, sperm concentration 0.49, progressive motion of spermatozoa 0.38, abnormal spermatozoa 0.34, number of total spermatozoa 0.42, number of insemination doses 0.40, number of piglets born alive 0.08, total number of piglets born 0.05 and conception rate 0.29. Heritabilities and genetic correlations were estimated on average values for each boar.

Mesh:

Year:  2005        PMID: 15721663     DOI: 10.1016/j.anireprosci.2004.05.023

Source DB:  PubMed          Journal:  Anim Reprod Sci        ISSN: 0378-4320            Impact factor:   2.145


  5 in total

1.  Linear growth model analysis of factors affecting boar semen characteristics in Southern China.

Authors:  C Wang; J L Li; H K Wei; Y F Zhou; J J Tan; H Q Sun; S W Jiang; J Peng
Journal:  J Anim Sci       Date:  2017-12       Impact factor: 3.159

2.  Effect of active immunization against GnRH on testosterone concentration, libido and sperm quality in mature AI boars.

Authors:  Ronaldas Bilskis; Neringa Sutkeviciene; Vita Riskeviciene; Aloyzas Januskauskas; Henrikas Zilinskas
Journal:  Acta Vet Scand       Date:  2012-05-28       Impact factor: 1.695

3.  Ejaculate Traits and Sperm Morphology Depending on Ejaculate Volume in Duroc Boars.

Authors:  Krzysztof Górski; Stanisław Kondracki; Anna Wysokińska
Journal:  J Vet Res       Date:  2017-04-04       Impact factor: 1.744

4.  A systems biology framework integrating GWAS and RNA-seq to shed light on the molecular basis of sperm quality in swine.

Authors:  Marta Gòdia; Antonio Reverter; Rayner González-Prendes; Yuliaxis Ramayo-Caldas; Anna Castelló; Joan-Enric Rodríguez-Gil; Armand Sánchez; Alex Clop
Journal:  Genet Sel Evol       Date:  2020-12-08       Impact factor: 4.297

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

Authors:  Yifeng Hong; Limin Yan; Xiaoyan He; Dan Wu; Jian Ye; Gengyuan Cai; Dewu Liu; Zhenfang Wu; Cheng Tan
Journal:  Front Genet       Date:  2022-02-04       Impact factor: 4.599

  5 in total

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