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Avian eggs exhibit striking variability in size, shape, colour, and maculation, not only among but also within species. Technical and analytical advances in image analysis offer the opportunity to understand the factors underpinning this variability, especially when individual-based longitudinal data are available. Making use of such data, collected over four years, we investigated sources of variation in eight egg characteristics capturing the colour, spottiness, shape, and size of 1589 eggs from 687 clutches produced by 330 female common terns (Sterna hirundo) of known age. We found a high repeatability of the eight egg traits, both within clutches (range 0.48-0.77), and among clutches of the same female laid in different years (range 0.48-0.73). We also observed a within-female increase in egg size and spottiness with age, and evidence for selective disappearance of females producing spottier eggs, suggesting that egg maculation could reveal female quality. We also found that the size and shape of eggs were affected by their laying order within the clutch, suggesting that these traits may mediate intra-brood competition. We suggest further studies to identify the specific agents of selection that shape variation in egg size and morphology, to fully understand the eco-evolutionary significance of this extended female phenotype and its potential consequences for reproductive success and offspring survival.

This study aimed to investigate the relationship between GH, GHR, IGF-1R, VIP, and NPY genes and egg quality traits in laying hens. Atak-S laying hens aged 54 weeks were monitored for 6 weeks. Egg production and egg weight were recorded daily, while egg quality traits and feed consumption were assessed weekly. Genotyping was performed using PCR-RFLP. The GH, GHR, IGF-1R, VIP, and NPY genes were cut with MspI, HindIII, HinfI, HinfI, and DraI, respectively. The AA genotype of the GH gene was associated with increased egg shape index, eggshell weight, and eggshell thickness (p < 0.05). In the IGF-1R region, significant associations were found with egg weight and egg shape index (p < 0.05). Additionally, the VIP12 TT genotype was linked to higher egg production (p < 0.05). These findings suggest that the GH gene may serve as a selection marker for shell-related traits, IGF-1R for egg weight and egg shape, and VIP for improving egg production. Overall, the results obtained in this study indicate that the genes studied have the potential to be candidate markers for improving egg performance and quality; however, their use in marker-assisted selection requires further studies in larger and more diverse populations.

Of the variety of bird egg shapes, perhaps the most fascinating and unusual are pyriform (pear-shaped, or conical) eggs. Among oologists, there is still no consensus on what exactly caused this evolutionary and ecological adaptation. To address this, our research was aimed to develop a minimalistic mathematical model for an accurate description of the pyriform egg contour, using the minimum number of measurements. As such, egg length (L) and its maximum breadth (B) were found to be an optimal set of parameters that were easy enough to measure with the required accuracy. We tested four analytical premises that can be used for successful pyriform egg shape modelling. To validate these four model premises, images of pyriform eggs characteristic of 32 species were used. As a result, we derived a novel mathematical dependence that we called the ‘pyriform model with two parameters’. Based on this model, it is feasible to geometrically reconstruct any pyriform egg profile under study using only two egg measurements, i.e., L and B. Since pyriform eggs are characteristic of wild bird species that are most often investigated in the field, the measurement of only two parameters minimizes the time spent and, accordingly, the stress factor on the animals. The least error estimate for the new model was 3.9%, which turned out to be even more accurate than that of the previously developed model with three parameters.

Egg recognition is one of the most common strategies utilized by host birds to combat brood parasitism. Eggshell surface features (e.g., eggshell color and spots) are important cues for host egg recognition, enabling avian hosts to recognize and reject foreign eggs. The barn swallow (Hirundo rustica), as one host of the common cuckoo (Cuculus canorus), has demonstrated variation in their egg rejection propensity geographically. However, it remains unclear whether eggshell spots play an important role in their egg recognition. To this end, this study examined the role of eggshell spots in egg recognition in two populations of barn swallows. Our results revealed that in both Danzhou and Dongfang populations, the rejection rate of barn swallows for spotted eggs was significantly lower than that for eggs without spots, suggesting that eggshell spot signaling plays a pivotal role during the process of egg recognition in barn swallows. Our findings also indicated that egg shape (ovoid vs. round) did not affect egg recognition by barn swallows. This was most likely because the round shape did not deviate significantly from egg‐shaped properties, causing the inability of barn swallows to distinguish the difference in shape. We experimentally tested if egg spots were used as recognition cues in barn swallows (Hirundo rustica). The rejection rate of barn swallows for spotted eggs was significantly lower than that for spotless eggs, suggesting that eggshell spot signaling plays a pivotal role during the process of egg recognition in barn swallows.

Avian eggs are products of consumer demand, with modern methodologies for their morphometric analysis used for improving quality, productivity and marketability. Such studies open up numerous prospects for the introduction of artificial intelligence (AI) and deep learning (DL). We first consider the state of the art of DL in the poultry industry, e.g., image recognition and applications for the detection of egg cracks, egg content and freshness. We comment on how algorithms need to be properly trained and ask what information can be gleaned from egg shape. Considering the geometry of egg profiles, we revisit the Preston–Biggins egg model, the Hügelschäffer’s model, universal egg models, principles of egg universalism and “The Main Axiom”, proposing a series of postulates to evaluate the legitimacy and practical application of various mathematical models. We stress that different models have pros and cons, and using them in combination may yield more useful results than individual use. We consider the classic egg shape index alongside other alternatives, drawing conclusions about the importance of indices in the context of applying DL going forward. Examining egg weight, volume, surface area and air cell calculations, we consider how DL might be applied, e.g., for egg storage. The value of DL in egg studies is in pre-incubation egg sorting, the optimization of storage periods and incubation regimes, and the index representation of dimensional characteristics. Each index can thus be combined to provide a synergy that is on the threshold of many scientific discoveries, technological achievements and industrial successes facilitated through AI and DL.

The present study was planned to evaluate the effect of dietary zinc-oxide (ZnO) nanoparticles synthesized by different plant extracts on egg production, egg quality, bone mineralization, and antioxidant capacity in caged layers. Nanoparticles of ZnO were synthesized by using extracts of Allium sativum (AS), Aloe vera (AV), Curcuma longa (CL), and Zingiber officinale (ZO). Different sources of nano ZnO (AS, AV, CL, and ZO) with varying levels (35, 70, or 105 ppm) were tested on 288 caged LSL layers of 25 weeks of age. Each diet was offered to 4 replicates of 6 birds each level and the duration of trial was 8 weeks. Daily egg production, feed consumption, and fortnightly egg quality parameters were recorded. Egg quality parameters (egg weight, egg mass, shape index, yolk index, albumen index, Haugh unit score, specific gravity, and eggshell thickness) were determined fortnightly by taking 2 eggs from each replicate randomly. Antioxidant capacity and bone mineralization were determined at the end of the trial. Results showed that the nano ZnO preparations were not effective ( P < 0.05) on laying performance but additional levels (70 ppm) improved egg production, feed conversion ratio, egg mass, Haugh unit score, and antioxidant capacity of chickens. An interaction was found among nanoparticles prepared by Allium sativum and Zingiber officianale extracts with 70 ppm level regarding total antioxidant capacity and egg production ( P > 0.05). Interaction among source and level was not found regarding feed intake, feed conversion ratio, egg quality, bone characteristics, and concentration of Zn. Results of the present study suggest that nano ZnO sources may not be a factor that affects performance, but level affects the birds’ physiology. Thus, it is concluded that nano ZnO with 70 ppm concentration is sufficient to optimize the laying performance.

There is great variation in the size and shape of teleost eggs from species to species. The size of the teleost egg depends on the amount of yolk accumulated in the egg, which is an important factor directly affecting the survival of hatchlings. Egg shape also contributes significantly to spawning ecology and survival during the prehatching stage. In this study, we used bitterlings, which show a wide variety of egg volumes and shapes, to elucidate whether these factors are determined by germ cells or somatic cells. Reciprocal transplantations of germ cells between two bitterling species revealed that the egg volume was identical to that of the germ cell donor species in both combinations. The egg shape was also very similar to that of the species providing the germ cells. These results suggest that the volume and shape of teleost eggs are greatly influenced by germ cell autonomy.

Optimal egg size theory assumes that changes in the egg and clutch are driven by selection, resulting in adjustments for the largest possible production of offspring with the highest fitness. Evidence supports the idea that large-bodied turtles tend to produce larger clutches with small and round eggs, while smaller species produce small clutches with large and elongated eggs. Our goals were to investigate whether egg and clutch size follow the predictions of egg size theory, if there are convergent reproductive strategies, and identify ecological factors that influence clutch and egg traits across all clades of living turtles. Using phylogenetic methods, we tested the covariance among reproductive traits, if they are convergent among different turtle lineages, and which ecological factors influence these traits. We found that both egg shape and size inversely correlate with clutch size, although with different evolutionary rates, following the predictions of the egg size theory. We also present compelling evidence for convergence among different turtle clades, over at least two reproductive strategies. Furthermore, climatic zone is the only ecological predictor to influence both egg size and fecundity, while diet only influences egg size. We conclude that egg and clutch traits in Testudines evolved independently several times across non-directly related clades that converged to similar reproductive strategies. Egg and clutch characteristics follow the trade-offs predicted by egg size theory and are influenced by ecological factors. Climatic zone and diet play an important role in the distribution of reproductive characteristics among turtles.

In the egg industry, it is necessary to estimate the egg volume accurately when estimating egg quality or freshness in a non-destructive method. Egg volume and weight could obtain egg density and could be used to determine egg freshness. Therefore, the egg geometric must be obtained first to establish a volume equation with a geometric shape. This research proposes an innovative idea to derive the mathematical model and volume equation of egg shape, calculate its volume, and verify the accuracy of the mathematical equation proposed using the volume displacement method. Using the proposed equation, the minimum error between the calculated egg volume) and actual egg volume is 0.01%. The maximum volume error does not exceed 2%. The egg shape equation can accurately draw the outer contour curve of the egg by the half-length of the maximum long axis and maximum breadth of the short axis, and the distance from the center point of the egg to the maximum breadth (xm).

The adaptive significance of avian egg shape is a long-standing problem in biology. For many years, it was widely believed that the pyriform shape of the Common Murre (Uria aalge) egg allowed it to either “spin like a top” or “roll in an arc,” thereby reducing its risk of rolling off the breeding ledge. There is no evidence in support of either mechanism. Two recent alternative hypotheses suggest that a pyriform egg confers mechanical strength and minimizes the risk of dirt contamination of the blunt end. We present a new hypothesis: that the Common Murre egg's pyriform shape confers stability on the breeding ledge, thus reducing the chance that it will begin to roll. We tested this hypothesis by measuring the stability of Common Murre and Razorbill (Alca torda) eggs of different shapes on slopes of 20°, 30°, and 40° above the horizontal. Common Murre eggs were more stable, and easier to stabilize, than the more elliptical Razorbill eggs. Within Common Murre eggs, more pyriform eggs were more stable. From a fitness perspective, the stability of the Common Murre egg on a slope seems likely to confer an advantage and thus may be a strong force of natural selection favoring the pyriform shape.