Published August 29, 2017 | Version v1
Dataset Open

Data from: No mutual mate choice for quality in zebra finches: time to question a widely-held assumption

  • 1. Max Planck Institute for Ornithology

Description

Studies of mate choice typically assume that individuals prefer high quality mates and select them based on condition-dependent indicator traits. In species with bi-parental care, mutual mate choice is expected to result in assortative mating for quality. When assortment is not perfect, the lower quality pair members are expected to compensate by increased parental investment to secure their partner (positive differential allocation). This framework has been assumed to hold for monogamous species like the zebra finch (Taeniopygia guttata), but progress has been hampered by the difficulty to define individual quality. By combining multiple measures of causes (inbreeding, early nutrition) and consequences (ornaments, displays, fitness components) of variation in quality into a single principal component, we here show that quality variation can be quantified successfully. We further show that variation in quality indeed predicts individual pairing success, presumably because it reflects an individual's vigor or ability to invest in reproduction. However, despite high statistical power, we found no evidence for either assortative mating or for positive differential allocation. We suggest that zebra finch ornaments and displays are not sufficiently reliable for the benefits of choosiness to exceed the costs of competition for the putative best partner. To assess the generality of these findings unbiased quantification of signal honesty and preference strength is required, rather than selective reporting of significant results.

Notes

Files

data for figure2.txt

Files (238.0 kB)

Name Size Download all
md5:e7f03cd1f229fc873a26f0034a92218b
18.1 kB Preview Download
md5:a897878173c71d484fabc73ac06ffe19
29.2 kB Preview Download
md5:503a55938417fb8337c7564dae84cf10
16.9 kB Preview Download
md5:1e372608a8cd306270ca31c1454e7974
25.3 kB Preview Download
md5:669a638a0beb11c448e71c58582d1014
26.6 kB Preview Download
md5:dd33d8cad5a666bb130fb3a739c8681c
13.8 kB Preview Download
md5:544674f2dbace89274666b52caae46b8
13.9 kB Preview Download
md5:278e6d016d8318fbde06ea8a69bf386b
17.9 kB Preview Download
md5:59c975dcfc3919aba39c854dac007985
40.2 kB Preview Download
md5:edce2a18c6c1705ed1fdef311527a354
14.1 kB Preview Download
md5:461608e61b5ee8c318f5b5403cbb305d
21.9 kB Preview Download

Additional details

Related works

Is cited by
10.1111/evo.13341 (DOI)