Study of measurement methods on phenotype of translucent eggs

Wang, Dehe; Chen, Hui; Zhou, Rongyan; Huang, Chen; Gao, Han; Fan, Baoliang; Liu, Guo-Jia; Ning, Zhonghua

doi:10.3382/ps/pez539

Cited by 15 publications

(29 citation statements)

References 12 publications

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“…The eggshell translucency was identified using the grayscale recognition method based on our previous study ( Wang et al, 2019 ). First, a light-emitting diode ( LED ) cold source (HLK, Tongfa Corp., Dezhou, China) penetrating the egg was required to enhance the contrast between the translucent and opaque areas on the eggshell.…”

Section: Methodsmentioning

confidence: 99%

“…This made it impossible to compare the distribution of shell translucency among different breeds. In a previous study, we evaluated the accuracy of a four-grading method and found a 50% chance of misclassification for eggshell translucency; we then explored the grayscale recognition method for measuring eggshell translucency in terms of quantity and area of translucent spots in the eggshell ( Wang et al, 2019 ). The aims of the current study were to explore the variations in translucent eggshell spots in different breeds and their distribution in blunt, middle, and sharp ends of the eggshell using a relatively objective grayscale recognition method.…”

Section: Introductionmentioning

confidence: 99%

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Comparison between different breeds of laying hens in terms of eggshell translucency and its distribution in various ends of the eggshell

et al. 2021

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Eggshell translucency is a ubiquitous external eggshell quality problem caused by variations of eggshell ultrastructure or shell membrane. In previous studies, researchers have widely investigated this phenomenon with nutritional, environmental, and genetic perspectives in many breeds. However, most studies referring to phenotypic measurement of shell translucency have been performed using a relatively subjective two-, three-, or four-grading methods, which made it impossible to compare distribution of shell translucency among different breeds. In this study, we aimed to explore variations of translucent eggshell spots in different breeds and their distribution in blunt, middle, and sharp ends of eggshell using a relatively objective grayscale recognition method. We selected 45 eggs from each flock of pure lines, commercial strains, and Chinese local breeds (10 flocks, aged 60 to 70 wk), and stored them in a constant environment for 5 d. Then measured eggshell translucency using grayscale recognition method. Indicators of shell translucency included sum of spot areas on the whole eggshell ( SUSA ), sum area of the whole eggshell ( SUSHA ), RSS (ratio of SUSA to SUSHA ), quantity of spots ( QS ), average spot area in eggshell ( AAES ), and diameter of spots in eggshell ( DS ). As results, in Hy-Line Brown, Brown-Egg Dwarf Layer, and Taihang (pink-shelled) breeds, phenotypic intensity of eggshell translucency was slight; in Rhode Island Red, Jingfen-1, and Dongxiang breeds, phenotypic intensity of eggshell translucency was relatively extensive; and in Jinghong-1, Hy-Line Sonia, White Leghorn, and Taihang (blue-shelled), phenotypic intensity of eggshell translucency was at an intermediate level. In general, the larger the RSS, the larger the QS, AAES, and DS. Of 3 ends for most breeds, eggshell translucency of blunt and sharp ends was usually greater than that of middle ends, and blunt ends seemed to have the most extensive eggshell translucency. Findings from this study could provide a reference for population selection to locate genes regulating shell translucency and to explore the physical structure mechanism for eggshell translucency formation.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison between different breeds of laying hens in terms of eggshell translucency and its distribution in various ends of the eggshell

et al. 2021

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“…In the supplementation period, another half of eggs from each replicate were selected for the measurement of the translucent egg at 6week intervals. The eggs were stored for 0, 7, 14 days at same environment (20℃) and classi ed into four score levels, and the scoring method was referenced in this study [22].…”

Section: Measurement Of Egg Quality and Translucent Eggmentioning

confidence: 99%

Transcriptome analysis revealed the effect of selenium yeast on improving eggshell quality in aged laying hens

Liu

Cao

et al. 2021

Preprint

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Background Egg internal and eggshell quality were deteriorated in aging laying hens. Improving egg and shell quality can prolong the laying cycle. Although, selenium yeast (SY) has been found with the potential to enhance the laying performance and egg quality, the underlying mechanisms have not been investigated. Therefore, we investigated the effect and molecule mechanism of selenium yeast on egg and shell quality in aged laying hens. Methods Three hundred 76-week-old Jing Hong laying hens were divided into four equal treatments and fed with Se-deficient diet (SD), 0.15, 0.30, 0.45 mg/kg selenium yeast diet (SY0.15, SY0.30 and SY0.45). At the end of the trial, we evaluated the plasma and tissue selenium content, plasma antioxidant capacity and egg quality. Transcriptomic analysis was performed to investigate the boosting effect of selenium yeast on eggshell quality. The weighted gene co-expression network analysis (WGCNA) analysis was performed to screen out the key candidate genes related with eggshell quality affected by selenium yeast. Results Dietary selenium yeast supplementation enhanced the eggshell strength (SY0.45) (P < 0.01) and reduced the shell translucence (SY0.15, SY0.30 and SY0.45) to ameliorate the eggshell quality. Moreover, body Se status and plasma antioxidant capacity were significantly enhanced by selenium yeast supplementation (P < 0.05), and showed a dose-dependent effect. Transcriptomic and WGCNA analysis identified some key candidate genes involved in eggshell quality including cell migration inducing hyaluronidase 1 (CEMIP), ovalbumin (OVAL), solute carrier family 6 member 17 (SLC6A17), solute carrier family 13 member 5 (SLC13A5), proopiomelanocortin (POMC) and proenkephalin (PENK). Functional enrichment analysis revealed that selenium may alter the biological process including eggshell mineralization, ion transport and laying period to affect eggshell formation. Conclusion Selenium yeast enhanced eggshell strength and reduced the shell translucence by improving antioxidant capacity, selenium status, and regulating the processes of shell mineralization, ion transport and laying period. These findings provide a novel molecule biomarker for affecting eggshell quality regulated by selenium.

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“…Under the illumination of a LED light source, they are usually present as translucent spots. About 5d-14d after egg production, the dark-spot features will become prominent and stable [1], and appear visible to the naked eye under daylight conditions. Eggshell dark spots (also known as the eggshell translucency phenomenon), as a common quality problem, are widely found in different species of laying hens [2].…”

Section: Introductionmentioning

confidence: 99%

“…After 20 iterations, the overall detection accuracy rate reached 98.19%. Literature [1] collected 354 eggs from 600 395day-old dwarf brown laying hens, and formulated a grading standard of eggshell dark spots (level 1-4) by using the gray recognition method and colorimetric method. The gray recognition method was mainly implemented by manual measurement of the dark-spot density and area for each grade of eggs, which is a very complicated and timeconsuming process.…”

Section: Introductionmentioning

confidence: 99%

Research on the Evaluation Method of Eggshell Dark Spots Based on Machine Vision

Wang

Zhou

et al. 2020

IEEE Access

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Dark spots, which are widely present in different species of eggs, not only significantly affect the appearance and reduce the commercial value of eggs, but also increase the safety hazards of edible eggs in view of that Salmonella can easily penetrate the eggshell at the location of dark spots. During the first 5 days after egg production, it is difficult to identify and evaluate dark spots on the eggshell surface under natural lighting conditions. Therefore, it is a great challenge to automatically classify commercial eggs according to the amount of dark spots at the initial stage. In this paper, a method based on machine vision was proposed for identifying and evaluating eggshell dark spots. First, the K-means clustering algorithm was used to segment the individual egg image on the production line in order to obtain the complete eggshell surface area; then, the unsharp masking method was used to enhance the dark-spot features so as to realize the recognition of dark spots; and finally, quantitative evaluation was conducted according to the amount of dark spots on the eggshell surface and the ratio of the dark-spot projected area. Our experimental results show that the proposed method is able to quickly and accurately calculate the distribution of dark spots and the ratio of the dark-spot projected area. Specifically, the processing speed of dark-spot image is 1 frame/0.5s, which is 960 times faster than the speed of manual marking (1 frame/480s), and the detection capacity of the experimental device is 3600 eggs/h. It provides an automated method for quantitatively examining dark spots on eggshells, a scientific tool for conducting further research on the formation mechanism of dark spots, as well as a technical means for the high-throughput online examination of egg quality.

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Study of measurement methods on phenotype of translucent eggs

Cited by 15 publications

References 12 publications

Comparison between different breeds of laying hens in terms of eggshell translucency and its distribution in various ends of the eggshell

Comparison between different breeds of laying hens in terms of eggshell translucency and its distribution in various ends of the eggshell

Transcriptome analysis revealed the effect of selenium yeast on improving eggshell quality in aged laying hens

Research on the Evaluation Method of Eggshell Dark Spots Based on Machine Vision

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