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Abou-Kassem DE, El-Sayiad GA, El-Samahy RA, Abd El-Hack ME, Taha AE, Kamal M, Alfassam HE, Rudayni HA, Allam AA, Moustafa M, Algopishi U, Ashour EA. Impacts of storage period and egg weight on hatching and growth performance of growing Japanese quails. Poult Sci 2024; 103:103772. [PMID: 38669822 PMCID: PMC11063647 DOI: 10.1016/j.psj.2024.103772] [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: 03/17/2024] [Revised: 04/07/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
This investigation aimed to assess how Japanese quail hatchability, growth, and carcass traits were affected by quail egg weight, storage length, and their interactions. One thousand two hundred sixty eggs of the commercial Japanese quail were purchased, and the average age of the birds was 13 wk. Quail egg weights were divided into 3 groups using a 3 × 4 factorial design: small (< 11 g), medium (11-12 g), and large (> 12 g). Each group had four storage times (1, 4, 7, and 10 d) and held 105 eggs. The study used a storage room with 70% humidity and 18°C. There were 12 treatment groups. For the final 3 d of incubation, the eggs were positioned in a hatching machine after being incubated for 14 d at 37.6°C and 65% humidity. For the study, 540 one-day-old Japanese unsexed quail chicks were randomly chosen and placed in groups of 5 that resembled the distribution of eggs. Three duplicates (15 chicks each) made up each of the 4 storage periods that comprised the 180 birds. The findings showed that the percentage of hatchable eggs is significantly influenced by their weight and the length of storage; medium and heavy-weight eggs exhibited higher percentages of hatchability while holding for 7 to 10 d. However, no significant interaction was observed-additionally, heavy egg weight results in higher weight at different ages. Egg weight also significantly impacts chick weight at hatch, 3 wk, and 6 wk. Egg weight and storage time affect dressing and carcass measurement percentages. We can conclude that the best results in terms of hatch and post-hatch efficiency, as well as carcass characteristics, were obtained with medium or heavy quail eggs and storage times of either 1 d or 4 d.
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Affiliation(s)
- Diaa E Abou-Kassem
- Animal and Poultry Production Department, Faculty of Technology and Development, Zagazig University, Zagazig, Egypt
| | - Gharib A El-Sayiad
- Poultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Rania A El-Samahy
- Poultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | | | - Ayman E Taha
- Department of Animal Husbandry and Animal Wealth Development, Faculty of Veterinary Medicine, Alexandria University, Behira, Rasheed, Edfina 22758, Egypt
| | - Mahmoud Kamal
- Laboratory of Gastrointestinal Microbiology, National Center for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095, China; Animal Production Research Institute, Agricultural Research Center, Dokki, Giza 12618, Egypt
| | - Haifa E Alfassam
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia
| | - Hassan A Rudayni
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh 11623, Saudi Arabia
| | - Ahmed A Allam
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh 11623, Saudi Arabia; Department of Zoology, Faculty of Science, Beni-suef University, Beni-suef 65211 Egypt.
| | - Mahmoud Moustafa
- Department of Biology, College of Science, King Khalid University, Abha, Saudi Arabia
| | - Uthman Algopishi
- Department of Biology, College of Science, King Khalid University, Abha, Saudi Arabia
| | - Elwy A Ashour
- Poultry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
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Rebolledo OFP, López MFA, Rivera JAH, Canul AC, Isaias GT, Casillas ACG. Effect of the Line and Age of Female Broiler Breeder on Hatchability Performance of Eggs. BRAZILIAN JOURNAL OF POULTRY SCIENCE 2023. [DOI: 10.1590/1806-9061-2022-1639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Affiliation(s)
| | | | | | - AC Canul
- Juárez Autonomous University of Tabasco, Mexico
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Brady K, Talbot CC, Long JA, Welch G, French N, Nicholson D, Bakst MR. Transcriptome analysis of blastoderms exposed to prolonged egg storage and short periods of incubation during egg storage. BMC Genomics 2022; 23:262. [PMID: 35379173 PMCID: PMC8981843 DOI: 10.1186/s12864-022-08463-2] [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: 10/01/2021] [Accepted: 03/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cool temperature egg storage prior to incubation is a common practice in the broiler industry; however, prolonged egg storage causes increased embryonic mortality and decreased hatchability and growth in surviving chicks. Exposing eggs to short periods of incubation during egg storage (SPIDES) reduces the adverse consequences of prolonged storage. SPIDES increases blastodermal cell viability by reducing apoptosis, though the counteracting mechanisms are unclear. To define the impact of prolonged storage and SPIDES, transcriptome analysis compared gene expression from blastoderms isolated from eggs exposed to the following treatments: control (CR, stored at 17 °C for 4 days), prolonged storage (NSR, stored at 17 °C for 21 days), SPIDES (SR, stored at 17 °C for 21 days with SPIDES), and incubated control (C2, stored at 17 °C for 4 days followed by incubation to HH (Hamburger-Hamilton) stage 2, used as the ideal standard development) (n = 3/group). Data analysis was performed using the CLC Genomics Workbench platform. Functional annotation was performed using DAVID and QIAGEN Ingenuity Pathway Analysis. RESULTS In total, 4726 DEGs (differentially expressed genes) were identified across all experimental group comparisons (q < 0.05, FPKM> 20, |fold change| > 1.5). DEGs common across experimental comparisons were involved in cellular homeostasis and cytoskeletal protein binding. The NSR group exhibited activation of ubiquitination, apoptotic, and cell senescence processes. The SR group showed activation of cell viability, division, and metabolic processes. Through comparison analysis, cellular respiration, tRNA charging, cell cycle control, and HMBG1 signaling pathways were significantly impacted by treatment and potential regulatory roles for ribosomal protein L23a (RPL23A) and MYC proto-oncogene, BHLH transcription factor (MYC) were identified. CONCLUSIONS Prolonged egg storage (NSR) resulted in enriched cell stress and death pathways; while SPIDES (SR) resulted in enriched basic cell and anti-apoptotic pathways. New insights into DNA repair mechanisms, RNA processing, shifts in metabolism, and chromatin dynamics in relation to egg storage treatment were obtained through this study. Although egg storage protocols have been examined through targeted gene expression approaches, this study provided a global view of the extensive molecular networks affected by prolonged storage and SPIDES and helped to identify potential upstream regulators for future experiments to optimize egg storage parameters.
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Affiliation(s)
- K Brady
- Animal Biosciences and Biotechnology Laboratory, BARC, ARS, USDA, 10300 Baltimore Ave. Bldg. 200, Rm. 103, Beltsville, MD, 20705, USA.
| | - C C Talbot
- Institute for Basic Biomedical Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - J A Long
- Animal Biosciences and Biotechnology Laboratory, BARC, ARS, USDA, 10300 Baltimore Ave. Bldg. 200, Rm. 103, Beltsville, MD, 20705, USA
| | - G Welch
- Animal Biosciences and Biotechnology Laboratory, BARC, ARS, USDA, 10300 Baltimore Ave. Bldg. 200, Rm. 103, Beltsville, MD, 20705, USA
| | - N French
- Aviagen Ltd., Newbridge, Midlothian, EH28 8SZ, UK
| | - D Nicholson
- Aviagen Ltd., Newbridge, Midlothian, EH28 8SZ, UK
| | - M R Bakst
- Animal Biosciences and Biotechnology Laboratory, BARC, ARS, USDA, 10300 Baltimore Ave. Bldg. 200, Rm. 103, Beltsville, MD, 20705, USA
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Güz BC, de Jong IC, Da Silva CS, Veldkamp F, Kemp B, Molenaar R, van den Brand H. Effects of pen enrichment on leg health of fast and slower-growing broiler chickens. PLoS One 2021; 16:e0254462. [PMID: 34941896 PMCID: PMC8700046 DOI: 10.1371/journal.pone.0254462] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/15/2021] [Indexed: 11/18/2022] Open
Abstract
Pen enrichment for broiler chickens is one of the potential strategies to stimulate locomotion and consequently contribute to better leg health and welfare. This study was designed to evaluate effects of using a plethora of pen enrichments (barrier perches, angular ramps, horizontal platforms, large distance between feed and water and providing live Black Soldier fly larvae in a dustbathing area) on tibia characteristics, locomotion, leg health and home pen behaviour of fast and slower-growing broiler chickens. The experiment was set up as a 2 x 2 factorial arrangement with a total of 840 male broiler chickens in a complete randomized design (7 pens per treatment and 30 chickens per pen) with the following treatments: 1) pen enrichment (enriched pen or non-enriched pen); 2) broiler strain (fast-growing Ross 308 or slower-growing Hubbard JA 757). Home pen behaviour and use of enrichment were observed. At approximately 1400 and 2200 g body weight, two chickens per pen were randomly selected and slaughtered, to investigate tibia morphological, biophysical and mechanical characteristics and leg health. Pen enrichment positively affected tibia biophysical characteristics, e.g., osseous volume (Δ = 1.8 cm3, P = 0.003), total volume (Δ = 1.4 cm3, P = 0.03) and volume fraction (Δ = 0.02%, P = 0.002), in both fast and slower-growing chickens, suggesting that pen enrichment particularly affects ossification and mineralization mechanisms. Accordingly, locomotion and active behaviours were positively influenced by pen enrichment. However, pen enrichment resulted in lower body weight gain in both strains, which might be due to higher activity or lower feed intake as a result of difficulties of crossing the barrier perches. Regarding the strain, slower-growing chickens showed consistently more advanced tibia characteristics and more active behaviour than fast-growing chickens. It can be concluded that pen enrichment may lead to more activity and better bone development in both fast and slower-growing chickens.
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Affiliation(s)
- Bahadır Can Güz
- Adaptation Physiology Group, Wageningen University and Research, Wageningen, Gelderland, The Netherlands
- * E-mail:
| | - Ingrid C. de Jong
- Wageningen Livestock Research, Wageningen University and Research, Wageningen, Gelderland, The Netherlands
| | - Carol Souza Da Silva
- Wageningen Livestock Research, Wageningen University and Research, Wageningen, Gelderland, The Netherlands
| | - Fleur Veldkamp
- Adaptation Physiology Group, Wageningen University and Research, Wageningen, Gelderland, The Netherlands
| | - Bas Kemp
- Adaptation Physiology Group, Wageningen University and Research, Wageningen, Gelderland, The Netherlands
| | - Roos Molenaar
- Adaptation Physiology Group, Wageningen University and Research, Wageningen, Gelderland, The Netherlands
| | - Henry van den Brand
- Adaptation Physiology Group, Wageningen University and Research, Wageningen, Gelderland, The Netherlands
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Bouba I, Visser B, Kemp B, Rodenburg TB, van den Brand H. Predicting hatchability of layer breeders and identifying effects of animal related and environmental factors. Poult Sci 2021; 100:101394. [PMID: 34428647 PMCID: PMC8385447 DOI: 10.1016/j.psj.2021.101394] [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: 04/28/2021] [Revised: 07/19/2021] [Accepted: 07/20/2021] [Indexed: 11/02/2022] Open
Abstract
In this study, a data driven approach was used by applying linear regression and machine learning methods to understand animal related and environmental factors affecting hatchability. Data was obtained from a parent stock and grand-parent stock hatchery, including 1,737 batches of eggs incubated in the years 2010-2018. Animal related factors taken into consideration were strain (white vs. brown strain), breeder age, and egg weight uniformity at the start of incubation, whereas environmental factors considered were length of egg storage before incubation, egg weight loss during incubation and season. Effects of these factors on hatchability were analyzed with 3 different models: a linear regression (LR) model, a random forest (RF) model and a gradient boosting machine (GBM) model. In part one of the study, hatchability was predicted and the performance of the models in terms of coefficient of determination (R2) and root mean square error (RMSE) was compared. The ensemble machine learning models (RF: R2 = 0.35, RMSE = 8.41; GBM: R2 = 0.31, RMSE = 8.67) appeared to be superior than the LR model (R2 = 0.27, RMSE = 8.92) as indicated by the higher R2 and lower RMSE. In part 2 of the study, effects of these factors on hatchability were investigated more into detail. Hatchability was affected by strain, breeder age, egg weight uniformity, length of egg storage and season, but egg weight loss didn't have a significant effect on hatchability. Additionally, four 2-way interactions (breeder age × egg weight uniformity, breeder age × length of egg storage, breeder age × strain, season × strain) were significant on hatchability. It can be concluded that hatchability of parent stock and grand-parent stock layer breeders is affected by several animal related and environmental factors, but the size of the predicted effects varies between the methods used. In this study, 3 models were used to predict hatchability and to analyze effects of animal related and environmental factors on hatchability. This opens new horizons for future studies on hatchery data by taking the advantage of applying machine learning methods, that can fit complex datasets better than LR and applying statistical analysis.
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Affiliation(s)
- I Bouba
- Hendrix Genetics, Boxmeer, 5831 CK, Netherlands; Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.
| | - B Visser
- Hendrix Genetics, Boxmeer, 5831 CK, Netherlands
| | - B Kemp
- Adaptation Physiology Group, Wageningen University & Research, Wageningen, Netherlands
| | - T B Rodenburg
- Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands; Adaptation Physiology Group, Wageningen University & Research, Wageningen, Netherlands
| | - H van den Brand
- Adaptation Physiology Group, Wageningen University & Research, Wageningen, Netherlands
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Yang J, Zhang KY, Bai SP, Wang JP, Zeng QF, Peng HW, Xuan Y, Su ZW, Ding XM. The impacts of egg storage time and maternal dietary vitamin E on the growth performance and antioxidant capacity of progeny chicks. Poult Sci 2021; 100:101142. [PMID: 33975045 PMCID: PMC8131716 DOI: 10.1016/j.psj.2021.101142] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 02/12/2021] [Accepted: 03/13/2021] [Indexed: 11/25/2022] Open
Abstract
Two trials were designed to investigate the impacts of egg storage time and maternal dietary vitamin E (VE) supplementation on the growth performance and antioxidant capacity of progeny chicks. In total 512 Ross 308 broiler breeder hens (71-wk-old) were assigned to 2 dietary VE treatments (6 and 100 mg/kg) for 14 wk. Progeny chicks used in trials 1 and 2 were originated from eggs laid at week 10 (stored 0 d) and week 8 (stored 14 d), and week 14 (stored 0 d) and week 12 (stored 14 d), respectively. The 4 groups in trial 1 consisted of 2 levels of maternal VE (6 and 100 mg/kg) and 2 egg storage time (0 and 14 d). The 8 groups in trial 2 consisted of 2 levels of maternal VE (6 and 100 mg/kg), 2 egg storage time (0 and 14 d) and progeny sex (male and female). In trial 1, egg storage decreased the body weight, the liver total superoxide dismutase and total antioxidant capacity of 21-day-old offspring (P < 0.05), and the body weight gain and feed intake from 8 to 21 d and 1 to 21 d (P < 0.05); and increased the serum and liver malonaldehyde (MDA) of 7-day-old offspring and the ratio of feed: gain (F/G) from 1 to 7 d (P < 0.05). Maternal VE (100 vs. 6 mg/kg) decreased the F/G from 1 to 7 d and increased the serum total superoxide dismutase of 21-day-old offspring (P < 0.05). In trial 2, egg storage decreased the body weight of 42-day-old offspring, and the body weight gain and feed intake from 22 to 42 d and 1 to 42 d (P < 0.05); and increased the serum and liver MDA of 21- and 42-day-old offspring (P < 0.05). Maternal VE (100 vs. 6 mg/kg) reduced the serum MDA of 7-day-old offspring (P < 0.05). Interactively, maternal VE (100 vs. 6 mg/kg) reduced the serum MDA of offspring originated from stored eggs (P < 0.05), but not for that of offspring originated from unstored eggs in the two trials. It can be concluded that egg storage (14 vs. 0 d) decreased the growth performance and antioxidant capacity of offspring, while maternal dietary VE (100 vs. 6 mg/kg) supplementation could partly alleviate the reduction of antioxidant capacity (except for growth performance) of offspring induced by egg storage for the early phase post-hatch.
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Affiliation(s)
- J Yang
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - K Y Zhang
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - S P Bai
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - J P Wang
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Q F Zeng
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - H W Peng
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Y Xuan
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Z W Su
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - X M Ding
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal nutrition and feed Engineering Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China.
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