hatching process
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Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 222
Author(s):  
Teh Hong Khai ◽  
Siti Norul Huda Sheikh Abdullah ◽  
Mohammad Kamrul Hasan ◽  
Ahmad Tarmizi

Fish production has become a roadblock to the development of fish farming, and one of the issues encountered throughout the hatching process is the counting procedure. Previous research has mainly depended on the use of non-machine learning-based and machine learning-based counting methods and so was unable to provide precise results. In this work, we used a robotic eye camera to capture shrimp photos on a shrimp farm to train the model. The image data were classified into three categories based on the density of shrimps: low density, medium density, and high density. We used the parameter calibration strategy to discover the appropriate parameters and provided an improved Mask Regional Convolutional Neural Network (Mask R-CNN) model. As a result, the enhanced Mask R-CNN model can reach an accuracy rate of up to 97.48%.


2021 ◽  
Vol 5 (4) ◽  
pp. 563
Author(s):  
Muhammad Rizky Firdaus

Fertile chicken eggs are eggs that can hatch because these eggs have a development in the form of dots of blood and blood vessels or can be called an embryo, while infertile chicken eggs are a type of egg that cannot be hatched because there is no embryo development in the hatching process. Inspection of infertile chicken eggs must be carried out especially for breeders who will carry out the selection and transfer of fertile chicken eggs and infertile chicken eggs. However, currently, the selection of fertile and infertile chicken eggs is still using a less effective way, namely only by looking at the egg shell or called candling, this process is certainly less accurate to classify which eggs are fertile and infertile eggs because not all breeders are able to see the results of the eggs properly. candling so that the possibility of prediction errors. Therefore, in this study, a classification of fertile chicken eggs and infertile chicken eggs will be carried out based on candling results using the Convolutional Neural Network method. From the results of the classification carried out, the percentage of accuracy obtained for the classification of fertile and infertile chicken eggs is 98% and an error of 5%.


2021 ◽  
Vol 10 (2) ◽  
pp. 50-61
Author(s):  
Gilang Ayuningtyas ◽  
Rina Martini ◽  
Wina Yulianti

The objective of this research was to study the potential of cherry leaf extract as natural sanitizer agent for Alabio eggshell in hatching process. A number of 533 of Alabio hatching eggs were used in this study. Hatching eggs produced from College of Vacational Studies IPB University, were collected three times a day. Three hundred thirty-three hatching eggs were divided into five treatment groups. The first group was considered as control, the second was dipping into commercial disinfection, and the third and the fifth gruop were dipping into cherry leaf extract 250 ppm, 500 ppm, and 750 ppm respectively. The results showed cherry leaf extract has secondary metabolite compounds : alkaloids, flavonoids and tannins. All of these secondary metabolite compounds have a role as antibacterial agent. cherry leaf extract 750 ppm shows the same potential as commercial disinfectants in reducing the microbial population in eggshells. The dipping treatment of 750 ppm cherry leaf extract in alabio duck hatching eggs resulted in the lowest embryo mortality rate compared to other treatments (9.3%).   Key words: Alabio duck, cherry leaf extract, hatchery, total plate count of eggshell


2021 ◽  
Vol 9 (7) ◽  
pp. 1480
Author(s):  
Jiri Volf ◽  
Magdalena Crhanova ◽  
Daniela Karasova ◽  
Marcela Faldynova ◽  
Tereza Kubasova ◽  
...  

In this study, we addressed the origin of chicken gut microbiota in commercial production by a comparison of eggshell and feed microbiota with caecal microbiota of 7-day-old chickens, using microbiota analysis by 16S rRNA sequencing. In addition, we tested at which timepoint during prenatal or neonatal development it is possible to successfully administer probiotics. We found that eggshell microbiota was a combination of environmental and adult hen gut microbiota but was completely different from caecal microbiota of 7-day-old chicks. Similarly, we observed that the composition of feed microbiota was different from caecal microbiota. Neither eggshell nor feed acted as an important source of gut microbiota for the chickens in commercial production. Following the experimental administration of potential probiotics, we found that chickens can be colonised only when already hatched and active. Spraying of eggs with gut anaerobes during egg incubation or hatching itself did not result in effective chicken colonisation. Such conclusions should be considered when selecting and administering probiotics to chickens in hatcheries. Eggshells, feed or drinking water do not act as major sources of gut microbiota. Newly hatched chickens must be colonised from additional sources, such as air dust with spores of Clostridiales. The natural colonisation starts only when chickens are already hatched, as spraying of eggs or even chickens at the very beginning of the hatching process did not result in efficient colonisation.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Y Liu ◽  
C Jones ◽  
K Coward

Abstract Study question What is the mechanism of embryo hatching? Will laser-assisted zona pellucida (ZP) drilling alter the embryonic transcriptome? Summary answer Hatching is an ATP-dependent process. Hatching is also associated with Rho-mediated signaling. Laser-assisted ZP drilling might cause alternation in embryo metabolism. What is known already Embryo hatching is a vital process for early embryo development and implantation. Animal data suggests that hatching is the result of multiple factors, such as mechanical pressure, protease activation, and the regulation of maternal secretions. However, little is known about the regulatory signaling mechanisms and the molecules involved. In addition, despite the extensive use of laser-assisted ZP drilling in the clinic, the safety profile of this technique at molecular level is very sparse. The impact of this technique on the embryonic transcriptome has not been studied systematically. Study design, size, duration Eighty mouse embryos were randomly divided into a laser ZP drilling group (n = 40) and an untreated group (n = 40). After treatment, embryos were cultured in vitro for two days. Then, hatching blastocyst (n = 8) and pre-hatching blastocyst (n = 8) from the untreated group, and the hatching blastocyst from the treatment group (n = 8) were processed for RNA sequencing (RNA-seq). Participants/materials, setting, methods Cryopreserved 8-cell stage mouse embryos (B6C3F1 × B6D2F1) were thawed, and a laser was used to drill the embryo ZP in the treatment group. Next, the treated and untreated embryos were individually cultured in vitro to the E4.5 blastocyst stage. The resulting blastocysts were lysed individually and used for subsequent cDNA library preparation and RNA-seq. Following data quality control and alignment, the RNA-seq data were processed for differentially expressed gene analysis and downstream functional analysis. Main results and the role of chance According to the RNA-seq data, 275 differentially expressed genes (DEGs) (230 up-regulated and 45 down-regulated, adjusted P < 0.05) were identified when comparing hatching and pre-hatching blastocysts in the control groups. Analysis suggested that the trophectoderm is the primary cell type involved in hatching, and revealed the potential molecules causing increased blastocyst hydrostatic pressure (Aqp3 and Cldn4). Functional enrichment analysis suggested that ATP metabolism and protein synthesis were activated in hatching blastocysts. DEGs were found to be significantly enriched in several gene ontology terms, particularly in terms of the organization of the cytoskeleton and actin polymerisation (P < 0.0001). Furthermore, according to QIAGEN ingenuity pathway analysis results, Rho signaling was implicated in blastocyst hatching (Actb, Arpc2, Cfl1, Myl6, Pfn1, Rnd3, Septin9, z-score=2.65, P < 0.0001). Moreover, the potential role of hormones (estrogen (z-score=2.24) and prolactin (z-score=2.4)) and growth factors (AGT (z-score=2.41) and FGF2 (z-score=2.213)) were implicated in the hatching process as indicated by the upstream regulator analysis. By comparing the transcriptome between laser-treated and untreated hatching blastocysts, 47 DEGs were identified (adjusted P < 0.05) following laser-assisted ZP drilling. These genes were enriched in metabolism-related pathways (P < 0.05), including the lipid metabolism pathway (Mvd, Mvk, Aacs, Gsk3a, Pik3c2a, Aldh9a1) and the xenobiotic metabolism pathway (Aldh18a1, Aldh9a1, Keap1, and Pik3c2a). Limitations, reasons for caution Findings in mouse embryos may not be fully representative of human embryos. Furthermore, the mechanism of hatching revealed here might only reflect the hatching process of embryos in vitro. Further studies are now necessary to confirm these findings in different conditions and species to determine their clinical significance. Wider implications of the findings: Our study profiled the mouse embryo transcriptome during in vitro hatching, identified potential key genes and mechanisms for future study. In addition, for the first time, we revealed the impact of laser-assisted ZP drilling on the transcriptome, this may help us to assess and improve the existing technique. Trial registration number Not applicable


2021 ◽  
Vol 20 (4) ◽  
pp. 152-157
Author(s):  
Tona Kwassi ◽  
Pitala Wér ◽  
Ngueda Djeuta ◽  
Sergers Ludo ◽  
Fafiolu Adeboye

Foristek ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stenly Asali ◽  
Tan Suryani Sollu

In rural areas, free-range chickens are raised naturally, that is, the eggs are incubated by their parents directly so that the breeding of chickens is not optimal, because the native hens are only able to incubate a few eggs. Therefore an automatic chicken egg incubator is needed. Egg incubators that use automatic controllers in order to facilitate the hatching process, get maximum hatching results as expected and be able to find hatching information remotely by sending information via sms gateway. The hatching temperature is 37-380C and turning the eggs every 8 hours, starting from the eggs being put in the incubator until the eggs hatch. The data from the sensors will be processed in the diarduino and sent to the hatchery owner via SIM800L V.2 when the sound sensor detects the sound of the hatched egg. The information about the eggs that have been hatched comes from the sound sensor, even though the farmer is not in the hatchery. Experiments were carried out using 20 chicken eggs as a sample. The results of the successful hatching test were 4 chickens with a 20% success percentage, due to a power cut during the hatching process.


F&S Science ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 43-49
Author(s):  
Maria García-Jiménez ◽  
Klaus Rink ◽  
Enric Mestres ◽  
Ivette Vanrell ◽  
Gloria Calderón ◽  
...  

2020 ◽  
Vol 6 (2) ◽  
pp. 223
Author(s):  
Nefi Andriana Fajri ◽  
Ria Harmayani

 Bioconversion is one of the ways to treat organic waste (market abundance) which is a problem today, namely by utilizing microorganisms such as Black Soldier Fly (BSF) larvae as biodegradation agents. This study aims to study the life cycle of BSF in market waste media and to determine the potential of BSF larvae to break down market waste. This research was conducted for 8 months starting from the pre-study until the implementation of the study. The observation phases carried out in this study included 1) the life cycle of BSF in the chopped and non-chopped organic market waste media. 2) the potential of BSF larva / maggot in breaking down chopped and not chopped organic market waste. The results showed that the hatching process from eggs to larvae took three to four days. The larval phase which is still yellowish white lasts approximately 12 days, in this phase the larvae will need a lot of food. The prepupa phase occurs from the 19th day and the pupal phase is 100% achieved on the 24-26th day. Maggot has the ability to degrade market waste up to 84 ± 4.90% in market waste that is enumerated and around 69 ± 5.83% breaks down market waste that is not chopped


2020 ◽  
pp. 57-68
Author(s):  
D.J. Crisp ◽  
E.M. Hill ◽  
D.L. Holland
Keyword(s):  

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