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276 results for “Reproductive ageing”
Figure 3 in Observations on age and reproduction of the oceanic squid Ancistrocheirus lesueurii (d'Orbigny, 1842) (Cephalopoda: Ancistrocheiridae)
Figure 3. Ancistrocheirus lesueurii. (A) Statolith section of a mature intersexual male (ML 275 mm) in which 761 increments could be counted. The areas in boxes are enlarged in B, C and D, where B is the nucleus, C shows regular increments past the mid part of the rostrum and D shows the increments in the periphery of the rostrum.
Paternal environment effects are driven by female reproductive fluid but not sperm age in an external fertiliser
<p>Sperm ageing after ejaculation can generate paternal environmental effects that impact offspring fitness. In many species, female reproductive fluids (FRFs), i.e. ancillary fluids released by eggs or within the female reproductive tract, may protect sperm from ageing and can additionally interact with sperm to influence offspring viability. This raises the intriguing prospect that FRFs may alleviate paternal effects associated with sperm ageing. Here, we test this novel hypothesis using the broadcast spawning mussel, <em>Mytilus galloprovincialis.</em> We show that incubating sperm in FRF prior to fertilisation increases offspring viability and that these effects occur independently of sperm age. Our results provide novel evidence that FRFs allow females to selectively bias fertilisation toward higher quality sperm within an ejaculate, which in turn yields more viable offspring. We consider this FRF-mediated paternal effect in the context of female physiological control over fertilisation and the transgenerational effects of female-regulated haploid selection.</p>
Figure 9 in Assessing age, growth, and reproduction of Alburnus mossulensis and Acanthobrama marmid (Cyprinidae) populations in Karakaya Dam Lake (Turkey)
Figure 9. Monthly variation of gonadosomatic index (GSI) of A. marmid females and males in Karakaya Dam Lake.
Figure 8 in Assessing age, growth, and reproduction of Alburnus mossulensis and Acanthobrama marmid (Cyprinidae) populations in Karakaya Dam Lake (Turkey)
Figure 8. Monthly variation of gonadosomatic index (GSI) of A. mossulensis females and males in Karakaya Dam Lake.
Figure 7 in Assessing age, growth, and reproduction of Alburnus mossulensis and Acanthobrama marmid (Cyprinidae) populations in Karakaya Dam Lake (Turkey)
Figure 7. Length–weight relationship of A. marmid in Karakaya Dam Lake (N: number of female and male individuals).
Fig. 7 in Age, growth, and reproductive aspects of the dusky grouper Mycteroperca marginata (Actinopterygii: Epinephelidae) in a man-made rocky habitat in southern Brazil
Fig. 7. Percentages of immature (white) and mature-resting females (black) per size classes (total length, mm) for Mycteroperca marginata individuals collected in the study area. n = 111.
Fig. 6 in Age, growth, and reproductive aspects of the dusky grouper Mycteroperca marginata (Actinopterygii: Epinephelidae) in a man-made rocky habitat in southern Brazil
Fig. 6. Percentage of mature resting females for specimens of the dusky grouper (Mycteroperca marginata) collected in the study area by total length classes, fitted to a logistic function. L50 = 451.3 mm. n = 111.
Fig. 4 in Age, growth, and reproductive aspects of the dusky grouper Mycteroperca marginata (Actinopterygii: Epinephelidae) in a man-made rocky habitat in southern Brazil
Fig. 4. von Bertalanffy growth curve fitted to age-at-length data for dusky grouper specimens (Mycteroperca marginata) collected in the study area (K = 0.069 e L = 1249 mm). n = 108.
Fig. 2 in Age, growth, and reproductive aspects of the dusky grouper Mycteroperca marginata (Actinopterygii: Epinephelidae) in a man-made rocky habitat in southern Brazil
Fig. 2. Transverse section of an otolith of a 4+ year-old dusky grouper (Mycteroperca marginata) collected in the study area. The photograph was taken under a stereomicroscope (20x) and reflected light, and shows a clear differentiation between opaque (white) and translucent (dark) growth bands.
Fig. 1. A in Age, growth, and reproductive aspects of the dusky grouper Mycteroperca marginata (Actinopterygii: Epinephelidae) in a man-made rocky habitat in southern Brazil
Fig. 1. A) Patos Lagoon (10.360 km2) in southern Brazil and B) the 4.5 km long pair of rocky jetties that connect the estuarine zone of Patos Lagoon to the Atlantic Ocean. C) A detail of the west jetty and its large pieces of rock (nearly 10 ton each), located in the municipality of Rio Grande (Rio Grande do Sul state) in southern Brazil.
Fig. 5 in Age, growth, and reproductive aspects of the dusky grouper Mycteroperca marginata (Actinopterygii: Epinephelidae) in a man-made rocky habitat in southern Brazil
Fig. 5. Ovary sections of the dusky grouper (Mycteroperca marginata) collected in the study area. A) Immature gonad showing several primary germ cells (PGC) and oogonia. B) Resting gonad with small previtellogenic oocytes in chromatin nucleolus stage (CN) and in perinucleolar stage (PN).
Figure 4 in Assessing age, growth, and reproduction of Alburnus mossulensis and Acanthobrama marmid (Cyprinidae) populations in Karakaya Dam Lake (Turkey)
Figure 4. Length–weight relationship of A. mossulensis in Karakaya Dam Lake (N: number of female and male individuals).
Fig. 2 in Reproduction of Trichospilus diatraeae (Hymenoptera: Eulophidae) in the pupae of Diaphania hyalinata (Lepidoptera: Crambidae) of various ages
Fig. 2. Trichospilus diatraeae progeny produced in Diaphania hyalinata pupae; (A) number of progeny; (B) duration of the T. diatraeae life cycle; (C) width of the T. diatraeae female head capsule; (D) width of the T. diatraeae male head capsule (mean ± SE). Measurements were made on T. diatraeae that emerged from D. hyalinata hosts parasitized as 24-, 48-, 72-, 96-, 120-, and 144-h-old pupae.
Fig. 1 in Reproduction of Trichospilus diatraeae (Hymenoptera: Eulophidae) in the pupae of Diaphania hyalinata (Lepidoptera: Crambidae) of various ages
Fig. 1. Percentage of parasitism of Diaphania hyalinata pupae and percentage of emergence of Trichospilus diatraeae progeny from D. hyalinata hosts parasitized as 24-, 48-, 72-, 96-, 120-, and 144-h-old pupae. Bars with the same uppercase or lowercase letter do not differ by the non-parametric Kruskal–Wallis test (P> 0.05).
Fig. 9 in Age, Growth and Reproduction of Coryphaena hippurus (Linnaeus, 1758) in Maltese Waters, Central Mediterranean
Fig. 9: Mean monthly GSI values for male and female dolphinfish categorised as spawners. Error bars represent ± 2 SE.
Fig. 8 in Age, Growth and Reproduction of Coryphaena hippurus (Linnaeus, 1758) in Maltese Waters, Central Mediterranean
Fig. 8: Maturity ogive for male and female dolphinfish collected from Maltese longline and FAD fisheries in the period 2004–2010.
Fig. 7 in Age, Growth and Reproduction of Coryphaena hippurus (Linnaeus, 1758) in Maltese Waters, Central Mediterranean
Fig. 7: Sex ratio for different size classes of dolphinfish from the Maltese FAD fishery in the period 2004–2010.
Fig. 10 in Age, Growth and Reproduction of Coryphaena hippurus (Linnaeus, 1758) in Maltese Waters, Central Mediterranean
Fig. 10: Birthdate distribution for male and female juvenile dolphinfish sampled from the Maltese FAD fishery.
Fig. 5 in Age, Growth and Reproduction of Coryphaena hippurus (Linnaeus, 1758) in Maltese Waters, Central Mediterranean
Fig. 5: Dorsal spine found to be most suitable for measurement and subsequent calculation of the MIR. This was the first of the longest spines in the dorsal fin (arrow) of dolphinfish. Spine numbers within the dorsal fin are indicated. (Scale bar: 3 cm).
Fig. 4 in Age, Growth and Reproduction of Coryphaena hippurus (Linnaeus, 1758) in Maltese Waters, Central Mediterranean
Fig. 4: L-W relationships for male and female dolphinfish sampled from the Maltese longline and FAD fisheries in the period 2004-2010.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.