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The aim of this study was to develop and evaluate a model of artificial insemination (AI) technology transferable to backyard pig farmers for strengthening pig productivity in rural areas in Thailand. An AI center, criteria and process for farmer selection, an AI training program, AI practice in pigs, and a backyard farmer network were created as a model. Five hundred and thirty-one farrowing records from 307 sows were analyzed. Farrowing rates (FR), total number of piglets born (TB), and number of piglets born alive (BA) were studied. AI has led to better results in FR, TB, and BA than natural mating (P < 0.05). Demographic factors such as sex and age of farmers only had significant effects on FR (P < 0.05), while educational levels and farmers' AI experience had significant effects on TB and BA (P < 0.05). Model factors such as type of training, semen delivery systems, and semen storage time did not have significant effects on FR, TB, and BA. In conclusion, using this model, we found that backyard farmers could be trained in AI techniques in order to achieve equally good results as experienced technicians. Male farmers within working age or older, with a high school education or higher are the recommended target groups for implementing this model. Strong cooperation with clear responsibilities of all stakeholders could create a good network of backyard pig farmers. Therefore, the implementation of AI techniques in pig production can be applied to the target group with an aim towards a sustainable, self-sufficient community.
This article was published in the following journal.
Name: Tropical animal health and production
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The purpose of this study is to ascertain whether using ultrasound guidance during intrauterine insemination (IUI) could increase pregnancy rates.
A couple that does not achieve pregnancy though regular attempts for a year are defined infertile couple. This condition is caused by faulty functioning of the reproduction system of the h...
Our hypothesis is double insemination will improve pregnancy rates in coh cycles with more than one dominant follicles (>16mm).
The aim of this study is to assess whether GnRH agonist administration in the luteal phase improves pregnancy outcome in intrauterine insemination (IUI) cycles.
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Human artificial insemination in which the semen used is that of a man other than the woman's husband.
Human artificial insemination in which the husband's semen is used.
Artificial introduction of SEMEN or SPERMATOZOA into the VAGINA to facilitate FERTILIZATION.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Results of conception and ensuing pregnancy, including LIVE BIRTH; STILLBIRTH; SPONTANEOUS ABORTION; INDUCED ABORTION. The outcome may follow natural or artificial insemination or any of the various ASSISTED REPRODUCTIVE TECHNIQUES, such as EMBRYO TRANSFER or FERTILIZATION IN VITRO.
Obstetrics and gynaecology
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Fertility Menopause Obstetrics & Gynaecology Osteoporosis Women's Health Obstetrics and gynaecology comprises the care of the pregnant woman, her unborn child and the management of diseases specific to women. Most consultant...