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Li Y, Ma R, Qi R, Li H, Li J, Liu W, Wan Y, Liu Z, Li S, Chang X, Yuan Z, Liu X, Wang X, Zhan K. Study on the changing patterns of production performance of laying hens and their relationships with environmental factors in a large-scale henhouse. Poult Sci 2024; 103:104185. [PMID: 39244783 DOI: 10.1016/j.psj.2024.104185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 09/10/2024] Open
Abstract
The production performance of laying hens is influenced by various environmental factors within the henhouse. The intricate interactions among these factors make the impact process highly complicated. The exact relationships between production performance and environmental variables are still not well understood. In this study, we measured the production performance of laying hens and various environmental variables across different parts of the henhouse, evaluated the weight of each environmental variable, and constructed a laying rate prediction model. Results displayed that body weight, laying rate, egg weight and eggshell thickness of hens decrease gradually from WCA to FA (P < 0.05). Serum levels of FSH and LH, as well as antibody level of H5 Re-13, gradually decrease from WCA to FA (P < 0.05). Moreover, the values for temperature (T), temperature-humidity index (THI), air velocity (AV), carbon dioxide (CO2), and particulate matter (PM2.5) gradually increase from WCA to FA (P < 0.05). Conversely, the relative humidity (RH) value gradually decreases from FA to WCA (P < 0.05). Additionally, the weights of the environmental variables, determined using a combination of the grey relational analysis (GRA) and analytic hierarchy process (AHP), were as follows in descending order: RH, THI, T, light intensity (LI), AV, PM2.5, NH3, and CO2. When the number of decision trees in the laying rate prediction model was set to 2,500, the results displayed a high level of agreement between the model's predictions and the observed outcomes. The model's performance evaluation yielded an R2 value of 0.89995 for the test set, suggesting strong predictive effects. In conclusion, the current study revealed significant differences in both the production performance of laying hens and the environmental variables across different parts of the henhouse. Furthermore, the study demonstrated that different environmental factors have distinct impacts on laying rate, with humidity and temperature identified as the primary factors. Finally, a multi-variable prediction model was constructed, exhibiting high accuracy in predicting laying rate.
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Affiliation(s)
- Yan Li
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Ruiyu Ma
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Renrong Qi
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Hualong Li
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, 230031, China
| | - Junying Li
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Wei Liu
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Yi Wan
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Zhen Liu
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Sanjun Li
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China
| | - Xueling Chang
- College of Animal Science, Anhui Science and Technology University, Chuzhou, Anhui, 233100, China
| | - Zhengdong Yuan
- Beijing Deqingyuan Agricultural Technology Co. Ltd, Beijing 100089, China
| | - Xuming Liu
- Beijing Deqingyuan Agricultural Technology Co. Ltd, Beijing 100089, China
| | - Xinsheng Wang
- Xunwu Deqingyuan Agricultural Technology Co. Ltd, Ganzhou, Jiangxi, 342200, China
| | - Kai Zhan
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Science, Hefei, Anhui, 230031, China.
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Duenk P, Ellen ED, de Jong IC, van der Sluis M. Research Note: Effects of high barn temperature on group-level dispersion and individual activity in broiler chickens. Poult Sci 2024; 103:103901. [PMID: 38865768 PMCID: PMC11223106 DOI: 10.1016/j.psj.2024.103901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/02/2024] [Accepted: 05/21/2024] [Indexed: 06/14/2024] Open
Abstract
Heat stress in broilers is a pressing issue in the changing climate. Data on broiler behavior might be useful for early detection of heat stress and subsequent intervention, and may provide potential indicators for heat tolerance that can be used in broiler breeding programs. Here, we used bird location data collected in a previous study during which broilers were inadvertently exposed to high ambient temperatures due to a local heat wave. We examined whether broiler behavior changed with increasing ambient temperatures, focusing on group-level dispersion behavior and individual-level locomotor activity. We observed that birds moved closer together with increasing temperatures up to 9 °C above the desired level, and remained in similar proximity or moved further apart at temperatures above that threshold. The activity level decreased or remained stable with increasing temperature during most parts of the day, but increased at the end of the day. Possibly, the birds exhibited compensatory behavior (such as drinking and eating) during the periods when the barn cooled down after a hot day, but that could not be confirmed as no behavioral observations were available. The difference in activity levels between individuals accounted for 8.4% of the total variation, suggesting that activity might be an interesting indicator trait for heat tolerance in broiler chickens. Overall, the results of this study can inform the development of behavior-based 1) early-warning systems for heat stress and 2) heat tolerance indicators, although data on behaviors that are more specific to heat stress are probably required.
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Affiliation(s)
- Pascal Duenk
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen, AH 6700, the Netherlands.
| | - Esther D Ellen
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen, AH 6700, the Netherlands
| | - Ingrid C de Jong
- Animal Health and Welfare, Wageningen University & Research, Wageningen, AH 6700, the Netherlands
| | - Malou van der Sluis
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen, AH 6700, the Netherlands
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Solis IL, de Oliveira-Boreli FP, de Sousa RV, Martello LS, Pereira DF. Using Thermal Signature to Evaluate Heat Stress Levels in Laying Hens with a Machine-Learning-Based Classifier. Animals (Basel) 2024; 14:1996. [PMID: 38998108 PMCID: PMC11240736 DOI: 10.3390/ani14131996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 06/27/2024] [Accepted: 07/04/2024] [Indexed: 07/14/2024] Open
Abstract
Infrared thermography has been investigated in recent studies to monitor body surface temperature and correlate it with animal welfare and performance factors. In this context, this study proposes the use of the thermal signature method as a feature extractor from the temperature matrix obtained from regions of the body surface of laying hens (face, eye, wattle, comb, leg, and foot) to enable the construction of a computational model for heat stress level classification. In an experiment conducted in climate-controlled chambers, 192 laying hens, 34 weeks old, from two different strains (Dekalb White and Dekalb Brown) were divided into groups and housed under conditions of heat stress (35 °C and 60% humidity) and thermal comfort (26 °C and 60% humidity). Weekly, individual thermal images of the hens were collected using a thermographic camera, along with their respective rectal temperatures. Surface temperatures of the six featherless image areas of the hens' bodies were cut out. Rectal temperature was used to label each infrared thermography data as "Danger" or "Normal", and five different classifier models (Random Forest, Random Tree, Multilayer Perceptron, K-Nearest Neighbors, and Logistic Regression) for rectal temperature class were generated using the respective thermal signatures. No differences between the strains were observed in the thermal signature of surface temperature and rectal temperature. It was evidenced that the rectal temperature and the thermal signature express heat stress and comfort conditions. The Random Forest model for the face area of the laying hen achieved the highest performance (89.0%). For the wattle area, a Random Forest model also demonstrated high performance (88.3%), indicating the significance of this area in strains where it is more developed. These findings validate the method of extracting characteristics from infrared thermography. When combined with machine learning, this method has proven promising for generating classifier models of thermal stress levels in laying hen production environments.
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Affiliation(s)
- Isaac Lembi Solis
- Business Administration Undergraduate, School of Sciences and Engineering, São Paulo State University (UNESP), Tupã 17602-496, SP, Brazil
| | - Fernanda Paes de Oliveira-Boreli
- Graduate Program in Agribusiness and Development, School of Sciences and Engineering, São Paulo State University (UNESP), Tupã 17602-496, SP, Brazil
| | - Rafael Vieira de Sousa
- Faculty of Animal Science and Food Engineering (FZEA), Department of Biosystems Engineering, University of São Paulo (USP), Pirassununga 13635-900, SP, Brazil
| | - Luciane Silva Martello
- Faculty of Animal Science and Food Engineering (FZEA), Department of Biosystems Engineering, University of São Paulo (USP), Pirassununga 13635-900, SP, Brazil
| | - Danilo Florentino Pereira
- Graduate Program in Agribusiness and Development, School of Sciences and Engineering, São Paulo State University (UNESP), Tupã 17602-496, SP, Brazil
- School of Sciences and Engineering, Department of Management, Development and Technology, São Paulo State University (UNESP), Tupã 17602-496, SP, Brazil
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Sioutas G, Gelasakis AI, Papadopoulos E. Spatial Distribution of Dermanyssus gallinae Infestations in Greece and Their Association with Ambient Temperature, Humidity, and Altitude. Pathogens 2024; 13:347. [PMID: 38668302 PMCID: PMC11053509 DOI: 10.3390/pathogens13040347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 04/18/2024] [Accepted: 04/20/2024] [Indexed: 04/29/2024] Open
Abstract
Dermanyssus gallinae, the poultry red mite (PRM), is the most prevalent and harmful ectoparasite of laying hens globally. Although prevalence and risk factor studies can help veterinarians make decisions regarding farm treatments, relevant data are scarce. The present study investigated the prevalence and infestation severity of PRM in poultry farms across Greece and examined potential risk factors. AviVet traps were used to sample 84 farms (51 backyard, 33 industrial) over three years. Farm altitude, temperature, humidity, region, and production systems were assessed as potential risk factors with chi-square tests, initially for all the studied farms and then exclusively for backyard farms. The overall prevalence was 75.0% and was higher in backyard farms (80.4%) compared with industrial ones (66.7%), varying regionally from 66.7 to 90.9%. Altitude and temperature were not significant risk factors, but farms with humidity <60% had a lower infestation risk. Infestation severity did not significantly differ by risk factors. The poultry red mite is highly prevalent across Greek poultry production systems and regions. In the future, global warming, reduced acaricide options, and a ban on cage systems will all threaten a wider spatio-temporal distribution of the PRM, justifying the urgent need for effective monitoring and control methods to protect hen production and welfare and workers' health.
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Affiliation(s)
- Georgios Sioutas
- Laboratory of Parasitology and Parasitic Diseases, Faculty of Health Sciences, School of Veterinary Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Athanasios I. Gelasakis
- Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece;
| | - Elias Papadopoulos
- Laboratory of Parasitology and Parasitic Diseases, Faculty of Health Sciences, School of Veterinary Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
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Kim HR, Ryu C, Lee SD, Cho JH, Kang H. Effects of Heat Stress on the Laying Performance, Egg Quality, and Physiological Response of Laying Hens. Animals (Basel) 2024; 14:1076. [PMID: 38612315 PMCID: PMC11011014 DOI: 10.3390/ani14071076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
As high temperature and relative humidity (RH) are the main environmental factors causing heat stress, the temperature-humidity index (THI) serves as an indicator of heat stress in livestock animals. This study aimed to determine the effects of heat stress on the laying performance, physiological responses, egg quality, and blood profile of laying hens by subjecting them to environmental conditions with varying THI levels (68-85) for 28 days. The indicators of laying performance, such as feed intake (-30%) and egg production rate (-11%), significantly decreased in the hens exposed to severe heat stress (33 °C, 66% RH) compared to those exposed to thermoneutral conditions (21 °C, 68% RH). Moreover, severe heat stress reduced the egg yolk color, eggshell thickness and strength, and Haugh units of the eggs produced by the laying hens. Furthermore, a significant increase in serum K+ and a decrease in Na+ levels were observed in the hens subjected to severe heat stress compared with those under thermoneutral conditions. Our results indicate that heat stress alters the physiological responses and metabolism of laying hens, resulting in a lower egg quality and production rate.
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Affiliation(s)
- Hye-Ran Kim
- Animal Nutrition and Physiology Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Republic of Korea; (H.-R.K.); (C.R.); (S.-D.L.)
| | - Chaehwa Ryu
- Animal Nutrition and Physiology Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Republic of Korea; (H.-R.K.); (C.R.); (S.-D.L.)
| | - Sung-Dae Lee
- Animal Nutrition and Physiology Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Republic of Korea; (H.-R.K.); (C.R.); (S.-D.L.)
| | - Jin-Ho Cho
- Department of Animal Science, Chungbuk National University, Cheongju 28644, Republic of Korea;
| | - Hwanku Kang
- Animal Nutrition and Physiology Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Republic of Korea; (H.-R.K.); (C.R.); (S.-D.L.)
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Oluwagbenga EM, Fraley GS. Heat stress and poultry production: a comprehensive review. Poult Sci 2023; 102:103141. [PMID: 37852055 PMCID: PMC10591017 DOI: 10.1016/j.psj.2023.103141] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/18/2023] [Accepted: 09/18/2023] [Indexed: 10/20/2023] Open
Abstract
The impact of global warming on poultry production has gained significant attention over the years. However, our current knowledge and understanding of the mechanisms through which heat stress (HS) resulting from global warming affects the welfare, behavior, immune response, production performance, and even transgenerational effects in poultry are still incomplete. Further research is needed to delve deeper into these mechanisms to gain a comprehensive understanding. Numerous studies have investigated various biomarkers of stress in poultry, aiming to identify reliable markers that can accurately assess the physiological status and well-being of birds. However, there is a significant amount of variation and inconsistency in the results reported across different studies. This inconsistency highlights the need for more standardized methods and assays and a clearer understanding of the factors that influence these biomarkers in poultry. This review article specifically focuses on 3 main aspects: 1) the neuroendocrine and behavioral responses of poultry to HS, 2) the biomarkers of HS and 3) the impact of HS on poultry production that have been studied in poultry. By examining the neuroendocrine and behavioral changes exhibited by poultry under HS, we aim to gain insights into the physiological impact of elevated temperatures in poultry.
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Affiliation(s)
| | - G S Fraley
- Animal Sciences, Purdue University, West Lafayette, IN USA.
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Heo YJ, Park J, Kim YB, Kwon BY, Kim DH, Song JY, Lee KW. Effects of dietary protein levels on performance, nitrogen excretion, and odor emission of growing pullets and laying hens. Poult Sci 2023; 102:102798. [PMID: 37354615 PMCID: PMC10404757 DOI: 10.1016/j.psj.2023.102798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/09/2023] [Accepted: 05/17/2023] [Indexed: 06/26/2023] Open
Abstract
The objective of this study was to determine the effects of dietary crude protein (CP) levels on production performance, nitrogen balance, and odor emission of excreta in growing pullets and laying hens from 13 to 32 wk of age. Two hundred and forty pullets (Hy-Line Brown) were randomly assigned to 1 of 4 dietary groups with 10 replicates per group, and 6 birds per replicate. Experimental diets were formulated to contain 4 graded CP levels in the diets of pullets ranging from 180, 160, 140, and 120 g/kg of diet during 13 to 18 wk (phase 1) and in the diets of laying hens from 190, 170, 150, and 130 g/kg of diet during 19 to 32 wk (phase 2). The limiting amino acids including lysine, methionine, and threonine were supplemented to maintain constant equal amino acid concentrations in all experiment diets. In phase 1, decreasing dietary CP levels did not affect growth performance but increased (linear and quadratic effect, P < 0.05) the relative abdominal fat contents and triglyceride concentration in serum samples. High-density lipoprotein cholesterol in serum samples decreased as the CP levels decreased in the diets of pullets. Dietary CP levels quadratically increased (P < 0.05) the villus height and the villus height to crypt depth ratio but did not affect tibia traits and relative organ weights in pullets at 18 wk. Apparent digestibility of dry matter and ether extract increased with decreasing dietary CP levels in pullets. Graded CP levels linearly increased the digestibility of dry matter, CP, and ether extracts but lowered that of crude ash in laying hens. Nitrogen excretion was linearly decreased (P < 0.05) as the dietary CP levels decreased in both pullets and laying hens. Dietary CP levels only affected carbon dioxide emission in pullets. In phase 2, dietary CP levels did not affect growth performance and the ages at first egg laying and to reach 50% egg production in laying hens. However, egg weights were decreased (linear and quadratic effect, P < 0.05) as the dietary CP level decreased in laying hens. Increasing dietary CP levels increased Haugh unit at 26 wk but lowered corticosterone concentrations in yolk samples at 22 wk. Collectively, this study shows that dietary CP levels could be decreased to reduce nitrogen excretion without adverse effects on performance and egg quality of growing pullets and laying hens.
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Affiliation(s)
- Yun-Ji Heo
- Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Gwangjin-gu, Seoul 05029, South Korea
| | - Jina Park
- Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Gwangjin-gu, Seoul 05029, South Korea
| | - Yoo-Bhin Kim
- Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Gwangjin-gu, Seoul 05029, South Korea
| | - Byung-Yeon Kwon
- Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Gwangjin-gu, Seoul 05029, South Korea
| | - Da-Hye Kim
- Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Gwangjin-gu, Seoul 05029, South Korea
| | - Ju-Yong Song
- Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Gwangjin-gu, Seoul 05029, South Korea
| | - Kyung-Woo Lee
- Department of Animal Science and Technology, Sanghuh College of Life Sciences, Konkuk University, Gwangjin-gu, Seoul 05029, South Korea.
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Loengbudnark W, Chankitisakul V, Boonkum W. The genetic impact of heat stress on the egg production of Thai native chickens (Pradu Hang dum). PLoS One 2023; 18:e0281328. [PMID: 36735733 PMCID: PMC9897533 DOI: 10.1371/journal.pone.0281328] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/20/2023] [Indexed: 02/04/2023] Open
Abstract
Sustainable poultry production in adverse weather conditions is a widely debated issue, which has led to research into the development of breeds of poultry that are genetically resistant to heat. This study aimed to investigate the effects of heat stress on the genetics of monthly egg production and examine the threshold point of heat stress for preventing thermal stress and its effects on chicken productivity. The data of 5,965 monthly egg production records of 629 Thai native Pradu Hang dum chickens were used for analysis in combination with the temperature-humidity index (THI) calculated by meteorological data near the testing station. The average THI throughout the year was 76.6, and the highest was 82. The THI data were subsequently used to find the threshold point of heat stress. The THI equation used in this study was chosen by its highest correlation (-0.306) between THI values and monthly egg production. At a THI of 74, the lowest -2 logL was found and was considered the threshold point of heat stress. This means that monthly egg production would start decreasing when the THI was 74. Heritability was 0.15±0.03, and genetic and permanent environmental correlations were -0.29 and -0.48, respectively. The threshold point was used to estimate the estimated breeding values (EBVs) of the monthly egg production and heat stress individually, and EBVs were calculated into the selection index. The selection index values when the animal was selected for the replacement herd for all chickens (top 50%, 30%, 20%, and 10%) were 0.14, 0.90, 1.27, 1.53, and 1.91, respectively, and the genetic progress was 0.55, 0.60, 0.68, 0.75, and 0.77, respectively. This shows that the selection index values are lower if there are many selected animals. The recommendation for animal genetic selection is that the top 10% is appropriately because it seems to be most preferred. Therefore, using a selection index for high egg production and heat tolerance in Thai native chickens is possible to achieve genetic assessment in a large population.
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Affiliation(s)
- Wipas Loengbudnark
- Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand
| | - Vibuntita Chankitisakul
- Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand
- The Research and Development Network Center of Animal Breeding and Omics, Khon Kaen University, Khon Kaen, Thailand
| | - Wuttigrai Boonkum
- Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand
- The Research and Development Network Center of Animal Breeding and Omics, Khon Kaen University, Khon Kaen, Thailand
- * E-mail:
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Tracking the dynamics of female germ cell development during peri-hatch periods using a gene-edited chicken model. Poult Sci 2022; 102:102377. [PMID: 36586387 PMCID: PMC9811252 DOI: 10.1016/j.psj.2022.102377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 11/15/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
In hens, egg production depends on the development of germ cells in the ovary. Germ cells are established before birth, and their number gradually decreases during their lifespan. Therefore, it is essential to determine the time points of massive germ cell loss and the underlying mechanism. In this study, a gene-edited chicken with mCherry fluorescence specifically expressed in the germline was generated by the integration of the mCherry gene into the 3'-end of the DAZL locus, which facilitated the isolation of germ cells from the gonads of DAZL-mCherry embryos or chicks and quantification using flow cytometry based on the observation of red fluorescence. The results demonstrated the dynamics of germ cell development from embryos at 17 d of hatching (dh) to chickens at 7 d post-hatch (dph) and revealed a substantial loss of germ cells in the late embryonic stage (18 -19 dh) and post-hatch period (2 -3 dph). Additionally, the number of germ cells in DAZL × Guangxi Ma chicken was significantly higher than that in DAZL × Lohmann Pink chicken at 19 dh and 3 dph (P < 0.05). Furthermore, the numbers of germ cells positively correlated with the body weight in DAZL × Lohmann Pink chicken. In conclusion, our results showed the dynamics of germ cell development in chicken ovaries during peri-hatch periods and indicated the time point of substantial germ cell loss. The results provide evidence for further exploration of the underlying mechanism and serve as a reference for chicken breeding and management.
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