2006
DOI: 10.1016/j.theriogenology.2005.11.017
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Comparison of accuracy of transabdominal ultrasonography, progesterone and pregnancy-associated glycoproteins tests for discrimination between single and multiple pregnancy in sheep

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Cited by 33 publications
(24 citation statements)
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“…Exposing biases in the hunted sample is not a reason to abandon the discrete time model, but on the contrary, it provides an opportunity to refine its use, especially with the use of non-invasive reproductive assessment techniques (Karen et al, 2006). The model can only be used safely when such biases have been weeded out, or at least their impact measured.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Exposing biases in the hunted sample is not a reason to abandon the discrete time model, but on the contrary, it provides an opportunity to refine its use, especially with the use of non-invasive reproductive assessment techniques (Karen et al, 2006). The model can only be used safely when such biases have been weeded out, or at least their impact measured.…”
Section: Resultsmentioning
confidence: 99%
“…The result is that there is usually a large amount of information available about female fertility after a large cull. Furthermore, ultrasonography and hormonal levels have been used as non-invasive reproductive assessment techniques for pregnancy diagnosis and accurate prediction of conception date (Gonzalez et al, 2004;Karen et al, 2006). Therefore, in this paper we seek to develop a general method that can be used simply to predict birth probabilities from mammalian fertility data.…”
Section: Introductionmentioning
confidence: 99%
“…Where genetic evaluation has still limited use as in developing countries, identification of descriptive linear traits and farmers' friendly tools for selecting goats with high reproduction potential may be useful for realising higher economic returns. A clear knowledge on phenotypic descriptors for the prediction of foetal number during pregnancy is essential for preventing pregnancy toxaemia, reducing dystocia, optimising birth weights and increasing the survivability of newborns (Karen et al 2006;Moallem et al 2012). Despite the use of ultrasonographic scanning for the prediction of foetal number mostly at organised farms in goats (Abdelgafar et al 2007) and sheep (Karen et al 2006), there is a dearth of information on phenotypic descriptors to differentiate the pregnant goats bearing single or multiple foetuses under field conditions.…”
Section: Introductionmentioning
confidence: 99%
“…A clear knowledge on phenotypic descriptors for the prediction of foetal number during pregnancy is essential for preventing pregnancy toxaemia, reducing dystocia, optimising birth weights and increasing the survivability of newborns (Karen et al 2006;Moallem et al 2012). Despite the use of ultrasonographic scanning for the prediction of foetal number mostly at organised farms in goats (Abdelgafar et al 2007) and sheep (Karen et al 2006), there is a dearth of information on phenotypic descriptors to differentiate the pregnant goats bearing single or multiple foetuses under field conditions. Therefore, our objectives were (1) to assess the effect of age, body weight (BW) at breeding, parity, previous litter size (LZ) and days open on LZ of does, (2) to study the changes in linear type traits in does during pregnancy and (3) to explore which traits would influence the LZ of does.…”
Section: Introductionmentioning
confidence: 99%
“…The results from the scanning also make it possible to group the ewes according to the number of fetuses and adjust the feeding according to the scanning results (White and Russel 1984). An optimal feeding saves money and reduces the risk for pregnancy toxaemia, increases the birth weight and lamb survival among ewes with several fetuses (Karen and others 2006). Other methods for pregnancy diagnosis are available but none of them was found to be accurate enough to determine the number of fetuses (Humblot and others 1990, Dobson and others 1993a, b).…”
Section: Introductionmentioning
confidence: 99%