TY - JOUR
T1 - Mating conditions and management practices influence pregnancy scanning outcomes differently between ewe breeds
AU - Bates, Amy
AU - McGrath, Shawn
AU - Robertson, Susan
AU - Refshauge, Gordon
N1 - Funding Information:
This research was funded by Meat and Livestock Australia and Australian Wool Innovation (Project No. L.LSM.0020), the New South Wales Department of Primary Industries, Charles Sturt University and an Australian Government Research and Training Scholarship awarded to A.L.B.
Publisher Copyright:
© 2022 by the authors.
PY - 2022/10/24
Y1 - 2022/10/24
N2 - Sheep production in southern Australia may vary by breed, time of year, production output (wool, meat, or both), region and seasonal influence. Sheep producers with flocks of approximately 300–500 ewes (n = 58) were recruited across southern Australia to take part in a survey and mating variables were collected from over 30,000 ewes between October 2020 and August 2021. A Bayesian Network (BN) was developed to identify the interrelatedness and most influential variable on pregnancy and fetal number (of pregnant ewes) outcomes under different scenarios. The BN analysis indicated a low association between the variables explored, however, were breed dependent. In wool-based breeds a mating liveweight of 60–69.5 kg predicted the lowest non-pregnant and greatest number of fetuses, and in shedding ewes 70–79.5 kg predicted the lowest non-pregnant rate and 90–99.5 kg the greatest number of fetuses. Pregnancy rate and fetuses per ewe were optimized at ram percentages of 1.5% for Composite and Merino ewes and 2% for Maternal ewes. A mating BCS 4 resulted in greatest pregnancy rate and number of fetuses across all breeds. Curvilinear relationships between mating liveweight, BCS and ram percentage were observed with pregnancy rate and fetal number. Practically, reproductive potential is best managed on a breed basis and with consideration of all variables explored.
AB - Sheep production in southern Australia may vary by breed, time of year, production output (wool, meat, or both), region and seasonal influence. Sheep producers with flocks of approximately 300–500 ewes (n = 58) were recruited across southern Australia to take part in a survey and mating variables were collected from over 30,000 ewes between October 2020 and August 2021. A Bayesian Network (BN) was developed to identify the interrelatedness and most influential variable on pregnancy and fetal number (of pregnant ewes) outcomes under different scenarios. The BN analysis indicated a low association between the variables explored, however, were breed dependent. In wool-based breeds a mating liveweight of 60–69.5 kg predicted the lowest non-pregnant and greatest number of fetuses, and in shedding ewes 70–79.5 kg predicted the lowest non-pregnant rate and 90–99.5 kg the greatest number of fetuses. Pregnancy rate and fetuses per ewe were optimized at ram percentages of 1.5% for Composite and Merino ewes and 2% for Maternal ewes. A mating BCS 4 resulted in greatest pregnancy rate and number of fetuses across all breeds. Curvilinear relationships between mating liveweight, BCS and ram percentage were observed with pregnancy rate and fetal number. Practically, reproductive potential is best managed on a breed basis and with consideration of all variables explored.
KW - pregnancy scanning
KW - mating condition score
KW - mating liveweight
KW - ram percentage
KW - Bayesian network
KW - sheep
KW - flock management
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U2 - https://doi.org/10.3390/ani12212908
DO - https://doi.org/10.3390/ani12212908
M3 - Article
C2 - 36359032
AN - SCOPUS:85141787621
VL - 12
JO - Animals
JF - Animals
SN - 2076-2615
IS - 21
M1 - 2908
ER -