Literature DB >> 29293763

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

C Wang, J L Li, H K Wei, Y F Zhou, J J Tan, H Q Sun, S W Jiang, J Peng.   

Abstract

This study investigated the factors affecting the semen traits of boars in Southern China. A total of 172,408 ejaculates of boars from 9 AI centers were collected from January 2013 to May 2016. A linear growth model was used to analyze the effects of leve1 1 (boar breed, age, season, and boar age at herd entry) and level 2 (housing type) factors on semen quality. The intraclass correlation coefficients of semen volume, total sperm number, functional sperm number, sperm concentration, motility, and abnormal sperm were 0.62, 0.62, 0.61, 0.60, 0.54, and 0.70, respectively. Boars reared in ordinary houses had lower total and functional sperm numbers than those reared in air filtration houses ( < 0.05). The functional sperm number of Duroc boars was lower than that of Landrace and Yorkshire boars ( < 0.05). The total and functional sperm numbers were lowest from May to September and peaked at the age of 34.1 and 37.7 mo, respectively. Furthermore, boars aged 8 and 9 mo at herd entry had greater functional sperm numbers than those aged 5, 6, 7, and 12 mo at herd entry ( < 0.05), whereas no significant difference was observed between boars aged 8 mo and boars aged 9 mo at herd entry ( > 0.05). In conclusion, the linear growth model is suitable for longitudinal data analysis. To improve boar breeding, sunstroke prevention in the early spring should be given greater attention. Importantly, 8 mo appears to be the most suitable age for boar introduction, especially for Duroc boars.

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Year:  2017        PMID: 29293763      PMCID: PMC6292278          DOI: 10.2527/jas2017.1863

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  31 in total

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Journal:  Anim Reprod Sci       Date:  2000-12-01       Impact factor: 2.145

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3.  B-mode ultrasonographic evaluation of paired testicular diameter of mature boars in relation to average total sperm numbers.

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Journal:  Theriogenology       Date:  2003-10-01       Impact factor: 2.740

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Review 5.  Bacteriospermia in extended porcine semen.

Authors:  Gary C Althouse; Kristina G Lu
Journal:  Theriogenology       Date:  2005-01-15       Impact factor: 2.740

Review 6.  Impact of genetic selection on management of boar replacement.

Authors:  J A B Robinson; M M Buhr
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Review 7.  Management and sperm production of boars under differing environmental conditions.

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Journal:  Theriogenology       Date:  2005-01-15       Impact factor: 2.740

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

Authors:  J Smital; J Wolf; L L De Sousa
Journal:  Anim Reprod Sci       Date:  2005-03       Impact factor: 2.145

9.  Natural Mediterranean photoperiod does not affect the main parameters of boar-semen quality analysis.

Authors:  M Montserrat Rivera; Armando Quintero-Moreno; Xavier Barrera; M Jesús Palomo; Teresa Rigau; Joan E Rodríguez-Gil
Journal:  Theriogenology       Date:  2005-09-01       Impact factor: 2.740

10.  Differences among breeds and manifestation of heterosis in AI boar sperm output.

Authors:  J Smital; L L De Sousa; A Mohsen
Journal:  Anim Reprod Sci       Date:  2004-01       Impact factor: 2.145

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  1 in total

1.  Logistic Regression Analysis Factors Affecting Sperm Motility and Abnormal Sperm Morphology in Boars.

Authors:  Yinghui Wu; Chao Wang; Jiajian Tan; Hong-Kui Wei; Haiqing Sun; Jian Peng
Journal:  Animals (Basel)       Date:  2019-11-20       Impact factor: 2.752

  1 in total

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