2017
DOI: 10.1071/an15321
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Impact of young ewe fertility rate on risk and genetic gain in sheep-breeding programs using genomic selection

Abstract: Genomic selection could be useful in sheep-breeding programs, especially if rams and ewes are first mated at an earlier age than is the current industry practice. However, young-ewe (1 year old) fertility rates are known to be lower and more variable than those of mature ewes. The aim of the present study was to evaluate how young-ewe fertility rate affects risk and expected genetic gain in Australian sheep-breeding programs that use genomic information and select ewes and rams at different ages. The study use… Show more

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Cited by 6 publications
(5 citation statements)
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“…Reproductive success is an important determinant of profitability for commercial sheep production enterprises focused on lamb meat production (Amer et al, 1999;Newton et al, 2017), and understanding factors that influence establishment of pregnancy in the ewe is key to improving flock reproductive performance. Although numerous studies have shown the impact of factors such as age and nutrition on ewe reproductive performance (Gaskins et al, 2005;Pettigrew et al, 2019), there is a paucity of information regarding if and how the microbiota of the ewe reproductive tract may contribute to pregnancy outcome.…”
Section: Introductionmentioning
confidence: 99%
“…Reproductive success is an important determinant of profitability for commercial sheep production enterprises focused on lamb meat production (Amer et al, 1999;Newton et al, 2017), and understanding factors that influence establishment of pregnancy in the ewe is key to improving flock reproductive performance. Although numerous studies have shown the impact of factors such as age and nutrition on ewe reproductive performance (Gaskins et al, 2005;Pettigrew et al, 2019), there is a paucity of information regarding if and how the microbiota of the ewe reproductive tract may contribute to pregnancy outcome.…”
Section: Introductionmentioning
confidence: 99%
“…Granleese (Granleese et al, 2015) simulated GS in sheep under optimal contribution selection, and found that the MOET and MOET+JIVET programs increased the genetic gain by 38%-76% and 51%-81%, respectively. Newton (Newton et al, 2017) used a genomic information-based simulation to model the impact of different age structures of sheep populations on reproductive performance in Australian sheep. The results showed that the availability of ram and ewe age as well as male genomic information significantly affected the predicted genetic gain, and genetic progress was unlikely to be adversely affected at fertility rates of 10% or more.…”
Section: Research Progress Of Gs In Reproductive Traits Of Sheep and ...mentioning
confidence: 99%
“…This has substantial impacts in reducing the emission intensity of milk (Christie et al 2016) and of lamb, as well as increasing profitability (Alcock et al 2015;Tocker et al 2020). It also increases the speed of genetic gain (Newton et al 2017). Timing of onset of puberty is determined by liveweight, rather than the rate or timing of liveweight gain, and so is subject to post-weaning nutritional control (Bruinje et al 2021).…”
Section: Age At First Joiningmentioning
confidence: 99%