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2 results for “houbara bustard”

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dryad36/100

Data for: Ranking the importance of factors driving siring success during sperm competition in the North African houbara bustard

<p><span>Sperm competition is a powerful force driving the evolution of ejaculate and sperm traits. However, the outcome of sperm competition depends on many traits that extend beyond ejaculate quality. Here, we studied male North African houbara bustards (</span><em><span>Chlamydotis undulata undulata</span></em><span>) competing for egg fertilization, after artificial insemination, with the aim to rank the importance of 14 parameters as drivers of siring success. Using a machine learning approach, we showed that traits independent of male quality (i.e., insemination order, delay between insemination and egg laying) were the most important predictors of siring success. Traits describing intrinsic male quality (i.e., number of sperm in the ejaculate, mass motility index) were also positively associated with siring success, but their contribution to explaining the outcome of sperm competition was much lower than for insemination order. Overall, this analysis shows that males mating at the last position in the mating sequence have the best chance to win the competition for egg fertilization. This raises the question of the importance of female behavior as determinant of mating order.  </span></p>

opencc-zeroMar 2023View details →
dryad36/100

Data for: Ranking the importance of factors driving siring success during sperm competition in the North African houbara bustard

Open the record for dataset details and reuse information.

publicMar 2023View details →

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International Brain Laboratory public data

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record