Literature DB >> 8490809

Prevalence and types of birth defects in Ontario swine determined by mail survey.

G D Partlow1, K R Fisher, P D Page, K MacMillan, A F Walker.   

Abstract

Preweaning mortality in piglets constitutes a major loss to the swine industry. Congenital defects account for a small but significant proportion of these losses. To implement appropriate strategies to reduce such losses, it is necessary to identify the specific causes and their relative importance. Consequently, a mail survey of swine production in Ontario was carried out to determine the prevalence and types of birth defects. Statistical comparisons of the prevalence of overall defects were made between accurate and estimate records, breeds (cross vs. purebred), size of operation (number of sows) and geographic location. The mean litter size of 11 pigs born per sow was not significantly different for those with accurate versus estimate records, but the difference in the prevalence of defective pigs (live and dead) was significant (accurate 3.1% vs. estimate 4.1%). Splayleg (spraddleleg) was the most common defect. The next four defects for both groups were belly rupture, other rupture, ridglings and other, but not in the same ranking. Purebred and small farm operations (< 25 sows) had a significantly higher prevalence of birth defects for estimated data only. Geographic location had no effect. Further work is required to determine whether recording prevalence of birth defects in Ontario swine will provide a useful monitor of environmental stress. The study provides a baseline for the prevalence and type of defects in Ontario swine.

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Year:  1993        PMID: 8490809      PMCID: PMC1263596     

Source DB:  PubMed          Journal:  Can J Vet Res        ISSN: 0830-9000            Impact factor:   1.310


  22 in total

1.  Epidemiological field studies of animal populations.

Authors:  L A Selby; L D Edmonds; L D Hyde
Journal:  Can J Comp Med       Date:  1976-04

2.  Congenital malformations in pigs in a post mortem material.

Authors:  N Bille; N C Nielsen
Journal:  Nord Vet Med       Date:  1977-03

3.  A survey of preweaning mortality in the pig.

Authors:  J R Glastonbury
Journal:  Aust Vet J       Date:  1976-06       Impact factor: 1.281

4.  Preweaning mortality in pigs. 3. Traumatic injuries.

Authors:  N Bille; N C Nielsen; J Svendsen
Journal:  Nord Vet Med       Date:  1974-11

5.  Preweaning mortality in pigs. 2. The perinatal period.

Authors:  N Bille; N C Nielsen; J L Larsen; J Svendsen
Journal:  Nord Vet Med       Date:  1974-05

6.  Preweaning mortality in pigs. 1. Herd investigations.

Authors:  N C Nielsen; K Christensen; N Bille; J L Larsen
Journal:  Nord Vet Med       Date:  1974-03

7.  Reproductive performance of swine on 76 Illinois farms.

Authors:  A D Leman; C Knudson; H E Rodeffer; A G Mueller
Journal:  J Am Vet Med Assoc       Date:  1972-12-01       Impact factor: 1.936

8.  Comparative aspects of congenital malformations in man and swine.

Authors:  L A Selby; H C Hopps; L D Edmonds
Journal:  J Am Vet Med Assoc       Date:  1971-12-01       Impact factor: 1.936

9.  Use of mailed questionnaire data in a study of swine congenital malformations.

Authors:  L A Selby; L D Edmonds; D W Parke; R W Stewart; C J Marienfeld; W F Heidlage
Journal:  Can J Comp Med       Date:  1973-10

10.  Preweaning mortality in the pig. The prevalence of various causes of preweaning mortality and the importance of some contributory factors.

Authors:  J R Glastonbury
Journal:  Aust Vet J       Date:  1977-07       Impact factor: 1.281

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  8 in total

1.  Transcriptome analysis reveals candidate genes involved in splay leg syndrome in piglets.

Authors:  Tao Wu; Xu Zhang; Mi Tian; Qiangqiang Tao; Liang Zhang; Yueyun Ding; Xiaodong Zhang; Zongjun Yin
Journal:  J Appl Genet       Date:  2018-07-06       Impact factor: 3.240

2.  Porcine congenital splayleg is characterised by muscle fibre atrophy associated with relative rise in MAFbx and fall in P311 expression.

Authors:  Peck-Toung Ooi; Nuno da Costa; Julia Edgar; Kin-Chow Chang
Journal:  BMC Vet Res       Date:  2006-07-25       Impact factor: 2.741

3.  Pilot study of large-scale production of mutant pigs by ENU mutagenesis.

Authors:  Tang Hai; Chunwei Cao; Haitao Shang; Weiwei Guo; Yanshuang Mu; Shulin Yang; Ying Zhang; Qiantao Zheng; Tao Zhang; Xianlong Wang; Yu Liu; Qingran Kong; Kui Li; Dayu Wang; Meng Qi; Qianlong Hong; Rui Zhang; Xiupeng Wang; Qitao Jia; Xiao Wang; Guosong Qin; Yongshun Li; Ailing Luo; Weiwu Jin; Jing Yao; Jiaojiao Huang; Hongyong Zhang; Menghua Li; Xiangmo Xie; Xuejuan Zheng; Kenan Guo; Qinghua Wang; Shibin Zhang; Liang Li; Fei Xie; Yu Zhang; Xiaogang Weng; Zhi Yin; Kui Hu; Yimei Cong; Peng Zheng; Hailong Zou; Leilei Xin; Jihan Xia; Jinxue Ruan; Hegang Li; Weiming Zhao; Jing Yuan; Zizhan Liu; Weiwang Gu; Ming Li; Yong Wang; Hongmei Wang; Shiming Yang; Zhonghua Liu; Hong Wei; Jianguo Zhao; Qi Zhou; Anming Meng
Journal:  Elife       Date:  2017-06-22       Impact factor: 8.140

4.  Polymorphisms of HOMER1 gene are associated with piglet splay leg syndrome and one significant SNP can affect its intronic promoter activity in vitro.

Authors:  Sutong Xu; Xingjie Hao; Min Zhang; Kai Wang; Shuaifeng Li; Xing Chen; Liaohan Yang; Lin Hu; Shujun Zhang
Journal:  BMC Genet       Date:  2018-12-07       Impact factor: 2.797

Review 5.  Congenital Splay Leg Syndrome in Piglets-Current Knowledge and a New Approach to Etiology.

Authors:  Toni Schumacher; Monika Röntgen; Steffen Maak
Journal:  Front Vet Sci       Date:  2021-02-26

6.  Identification of candidate genes for congenital splay leg in piglets by alternative analysis of DNA microarray data.

Authors:  Steffen Maak; Diana Boettcher; Jens Tetens; Monika Wensch-Dorendorf; Gerd Nürnberg; Klaus Wimmers; Hermann H Swalve; Georg Thaller
Journal:  Int J Biol Sci       Date:  2009-05-01       Impact factor: 6.580

7.  Genome-wide association study identifies candidate genes for piglet splay leg syndrome in different populations.

Authors:  Xingjie Hao; Graham Plastow; Chunyan Zhang; Sutong Xu; Zhiqiu Hu; Tianfu Yang; Kai Wang; Huawei Yang; Xiaoxue Yin; Shili Liu; Zhenghua Wang; Zhiquan Wang; Shujun Zhang
Journal:  BMC Genet       Date:  2017-07-05       Impact factor: 2.797

8.  Detection of genomic regions associated malformations in newborn piglets: a machine-learning approach.

Authors:  Siroj Bakoev; Aleksei Traspov; Lyubov Getmantseva; Anna Belous; Tatiana Karpushkina; Olga Kostyunina; Alexander Usatov; Tatiana V Tatarinova
Journal:  PeerJ       Date:  2021-07-22       Impact factor: 2.984

  8 in total

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