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Huang J, Ruan Y, Xiao M, Dai L, Jiang C, Li J, Xu J, Chen X, Xu H. Association between polymorphisms in NOBOX and litter size traits in Xiangsu pigs. Front Vet Sci 2024; 11:1359312. [PMID: 38523712 PMCID: PMC10959092 DOI: 10.3389/fvets.2024.1359312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/26/2024] [Indexed: 03/26/2024] Open
Abstract
The newborn ovary homeobox gene (NOBOX) regulates ovarian and early oocyte development, and thus plays an essential role in reproduction. In this study, the mRNA expression level and single nucleotide polymorphism (SNP) of NOBOX in various tissues of Xiangsu pigs were studied to explore the relationship between its polymorphism and litter size traits. Also, bioinformatics was used to evaluate the effects of missense substitutions on protein structure and function. The results revealed that NOBOX is preferentially expressed in the ovary. Six mutations were detected in the NOBOX sequence, including g.1624 T>C, g.1858 G>A, g.2770 G>A, g.2821 A>G, g.5659 A>G, and g.6025 T>A, of which g.1858 G>A was a missense mutation. However, only g.1858 G>A, g.5659 A>G, and g.6025 T>A were significantly associated with litter size traits (p < 0.05). Further prediction of the effect of the missense mutation g.1858 G>A on protein function revealed that p.V82M is a non-conservative mutation that significantly reduces protein stability and thus alters protein function. Overall, these findings suggest that NOBOX polymorphism is closely related to the litter size of Xiangsu pigs, which may provide new insights into pig breeding.
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Affiliation(s)
- Jiajin Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Yong Ruan
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Meimei Xiao
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Lingang Dai
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Chuanmei Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Jifeng Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Jiali Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Xiang Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
| | - Houqiang Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, China
- Guizhou Provincial Key Laboratory of Animal Genetics, Breeding and Reproduction, Guizhou University, Guiyang, China
- College of Animal Science, Guizhou University, Guiyang, China
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2
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Islas-Fabila P, Roldán-Santiago P, de la Cruz-Cruz LA, Limón-Morales O, Dutro-Aceves A, Orozco-Gregorio H, Bonilla-Jaime H. Importance of Selected Nutrients and Additives in the Feed of Pregnant Sows for the Survival of Newborn Piglets. Animals (Basel) 2024; 14:418. [PMID: 38338061 PMCID: PMC10854669 DOI: 10.3390/ani14030418] [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: 12/06/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/12/2024] Open
Abstract
This systematic review analyzed the effect of selected nutrients and additives in the feed of pregnant sows on the survival of newborn piglets. We analyzed 720 peer-reviewed publications in English in PubMed® and Web of Science®, dated July 2023 to January 2024, related to the effect of dietary supplementation with fatty acids and various percentages of protein, amino acids, and/or sources of dietary fiber on the offspring of gestating sows. While several papers evaluated the effect of nutrition on gestating sows, only a few delved into the distinct feeding strategies required at each stage of gestation to meet the NRC's nutritional requirements for maternal tissue gain and postnatal neonatal survival and growth. This body of research suggests that as gestation progresses the sow's nutritional requirements increase, as the NRC established, to satisfy their own metabolic needs and those of their fetuses. Additional research is needed to determine an optimal feeding strategy.
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Affiliation(s)
- Paloma Islas-Fabila
- Programa de Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City 09340, Mexico;
| | - Patricia Roldán-Santiago
- Departamento de Reproducción, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Avenida Universidad, Mexico City 04510, Mexico
| | - Luis Alberto de la Cruz-Cruz
- Escuela de Medicina Veterinaria y Zootecnia, Universidad del Valle de México-Coyoacán, Calzada de Tlalpan, Mexico City 04910, Mexico; (L.A.d.l.C.-C.); (A.D.-A.)
- Departamento de Producción Agrícola y Animal, Universidad Autónoma Metropolitana, Unidad Xochimilco, Calzada del Hueso 1100, Coapa, Villa Quietud, Coyoacán, Mexico City 04960, Mexico;
| | - Ofelia Limón-Morales
- Departamento de Biología de la Reproducción, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City 09340, Mexico;
| | - Anna Dutro-Aceves
- Escuela de Medicina Veterinaria y Zootecnia, Universidad del Valle de México-Coyoacán, Calzada de Tlalpan, Mexico City 04910, Mexico; (L.A.d.l.C.-C.); (A.D.-A.)
| | - Héctor Orozco-Gregorio
- Departamento de Producción Agrícola y Animal, Universidad Autónoma Metropolitana, Unidad Xochimilco, Calzada del Hueso 1100, Coapa, Villa Quietud, Coyoacán, Mexico City 04960, Mexico;
| | - Herlinda Bonilla-Jaime
- Departamento de Biología de la Reproducción, Universidad Autónoma Metropolitana, Unidad Iztapalapa, Mexico City 09340, Mexico;
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3
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Zeng F, Zhang S. Impacts of sow behaviour on reproductive performance: current understanding. JOURNAL OF APPLIED ANIMAL RESEARCH 2023. [DOI: 10.1080/09712119.2023.2185624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Affiliation(s)
- Fanwen Zeng
- Guangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou, China
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro animal Genomics and Molecular Breeding, College of Animal Science of South China Agricultural University, Guangzhou, China
| | - Shouquan Zhang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro animal Genomics and Molecular Breeding, College of Animal Science of South China Agricultural University, Guangzhou, China
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4
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Paiva RC, Moura CA, Thomas P, Haberl B, Greiner L, Rademacher CJ, Silva APSP, Trevisan G, Linhares DCL, Silva GS. Risk factors associated with sow mortality in breeding herds under one production system in the Midwestern United States. Prev Vet Med 2023; 213:105883. [PMID: 36867926 DOI: 10.1016/j.prevetmed.2023.105883] [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: 10/08/2022] [Revised: 02/10/2023] [Accepted: 02/19/2023] [Indexed: 02/26/2023]
Abstract
Sow mortality has significantly increased throughout the world over the past several years, and it is a growing concern to the global swine industry. Sow mortality increases economic losses, including higher replacement rates, affects employees' morale, and raises concerns about animal well-being and sustainability. This study aimed to assess herd-level risk factors associated with sow mortality in a large swine production system in the Midwestern United States. This retrospective observational study used available production, health, nutritional, and management information between July 2019 and December 2021. A Poisson mixed regression model was used to identify the risk factors and to build a multivariate model using the weekly mortality rate per 1000 sows as the outcome. Different models were used to identify the risk factors according to this study's main reasons for sow mortality (total death, sudden death, lameness, and prolapse). The main reported causes of sow mortality were sudden death (31.22 %), lameness (28.78 %), prolapse (28.02 %), and other causes (11.99 %). The median (25th-75th percentile) distribution of the crude sow mortality rate/1000 sows was 3.37 (2.19 - 4.16). Breeding herds classified as epidemic for porcine reproductive and respiratory syndrome virus (PRRSV) were associated with higher total death, sudden death, and lameness death. Open pen gestation was associated with a higher total death and lameness compared with stalls. Pulses of feed medication was associated with lower sow mortality rate for all outcomes. Farms not performing bump feeding were associated with higher sow mortality due to lameness and prolapses, while Senecavirus A (SVA)-positive herds were associated with a higher mortality rate for total deaths and deaths due to lameness. Disease interactions (herds Mycoplasma hyopneumoniae positive and epidemic for PRRSV; SVA positive herds and epidemic for PRRSV) were associated with higher mortality rates compared to farms with single disease status. This study identified and measured the major risk factors associated with total sow mortality rate, sudden deaths, lameness deaths, and prolapse deaths in breeding herds under field conditions.
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Affiliation(s)
- Rodrigo C Paiva
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | | | | | - Ben Haberl
- Iowa Select Farm Inc, Iowa Falls, IA, USA
| | - Laura Greiner
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Christopher J Rademacher
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - Ana Paula S P Silva
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - Giovani Trevisan
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - Daniel C L Linhares
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - Gustavo S Silva
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA.
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5
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Palermo Mendes J, Ribeiro Caldara F, de Castro Burbarelli MF, Valentim JK, Ferreira de Brito Mandú D, Garófallo Garcia R, Correia de Lima Almeida-Paz I, Markiy Odakura A, Lourenço da Silva MI. Performance and Welfare of Sows Exposed to Auditory Environmental Enrichment in Mixed or Collective Housing Systems. Animals (Basel) 2023; 13:ani13071226. [PMID: 37048482 PMCID: PMC10093583 DOI: 10.3390/ani13071226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/10/2023] [Accepted: 03/27/2023] [Indexed: 04/03/2023] Open
Abstract
The research aimed to assess the effects of auditory environmental enrichment on sows in mixed housing (caged until 35 days after insemination and then collective pens) or collective housing (caged until 72 h after insemination and then collective pens). Reproductive performance, body surface and eye temperature (ET) were evaluated as sows’ welfare indicators. A sample of 56 sows between 2nd and 6th parity was submitted to the treatments from artificial insemination to weaning. The sows were assigned in a randomized block design with a 2 × 2 factorial scheme of treatments: mixed housing—control (MH-C), collective housing—control (CH-C), mixed housing—music (MH-M) and collective housing—music (CH-M). Auditory enrichment consisted of exposing sows daily throughout gestation and lactation to 6 h of classical music divided into 2 h periods. The ET of pregnant sows in collective housing was lower than that of sows in mixed housing (33.77 °C vs. 34.91 °C). Pregnant and lactating sows exposed to auditory environmental enrichment exhibited lower ET compared to those that had no access to the stimulus (pregnant 33.36 °C vs. 34.32 °C and lactating 34.21 °C vs. 34.83 °C). No housing type effect was found on the reproductive performance parameter; however, piglets from sows submitted to auditory environmental enrichment, regardless of the type of housing during gestation, were heavier at weaning (6.32 kg vs. 5.57 kg). Collective or mixed housing does not affect sows’ reproductive performance; perhaps, auditory environmental enrichment reduced stress in the gestation and lactation phases and provided greater piglet weight gain at weaning.
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Affiliation(s)
- Janaina Palermo Mendes
- Animal Science Postgraduate Program, Agricultural Sciences, Federal University of Grande Dourados (UFGD), Dourados 79804-970, MS, Brazil
| | - Fabiana Ribeiro Caldara
- Animal Science Postgraduate Program, Agricultural Sciences, Federal University of Grande Dourados (UFGD), Dourados 79804-970, MS, Brazil
| | | | - Jean Kaique Valentim
- Animal Science Postgraduate Program, Agricultural Sciences, Federal University of Grande Dourados (UFGD), Dourados 79804-970, MS, Brazil
| | - Daniela Ferreira de Brito Mandú
- Animal Science Postgraduate Program, Agricultural Sciences, Federal University of Grande Dourados (UFGD), Dourados 79804-970, MS, Brazil
| | - Rodrigo Garófallo Garcia
- Animal Science Postgraduate Program, Agricultural Sciences, Federal University of Grande Dourados (UFGD), Dourados 79804-970, MS, Brazil
| | - Ibiara Correia de Lima Almeida-Paz
- Department of Animal Production, School of Veterinary Medicine and Animal Science (FMVZ), São Paulo State University (UNESP), Botucatu 18610-034, SP, Brazil
| | - Agnes Markiy Odakura
- Animal Science Postgraduate Program, Agricultural Sciences, Federal University of Grande Dourados (UFGD), Dourados 79804-970, MS, Brazil
| | - Marconi Italo Lourenço da Silva
- Department of Animal Production, School of Veterinary Medicine and Animal Science (FMVZ), São Paulo State University (UNESP), Botucatu 18610-034, SP, Brazil
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6
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Durand M, Dourmad JY, Julienne A, Couasnon M, Gaillard C. Effects of a competitive feeding situation on the behaviour and energy requirements of gestating sows. Appl Anim Behav Sci 2023. [DOI: 10.1016/j.applanim.2023.105884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
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7
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Chou JY, Parsons TD. A systematic review of the impact of housing on sow welfare during post-weaning and early pregnancy periods. Front Vet Sci 2022; 9:903822. [PMID: 36082213 PMCID: PMC9446151 DOI: 10.3389/fvets.2022.903822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 08/04/2022] [Indexed: 11/13/2022] Open
Abstract
Breeder animals are an important focus in farm animal welfare assessments as they typically live the longest lives and are at the greatest risk for suffering due to their longevity. For breeding pigs, the time between the end of lactation (post-weaning) and the implantation of embryos (early gestation) is very dynamic from both a physiological and husbandry perspective. However, research to date is limited on how best to house and manage sows during this critical period of their production cycle from a welfare perspective. Previous animal-based welfare outcome measures were restricted to certain health, behavioral and physiological indicators. This systematic review used Web of Science to make in-depth comparisons among welfare-based studies that focus on sow housing during the post-weaning and early pregnancy period to identify important knowledge gaps. Only a small number of studies (n = 27) were found that met our systematic search criteria. Compared to stalls, group housing requires mixing of animals and always triggers more aggression and skin lesions at the time of mixing. The predominant use of health and physiological indicators constrained the animal-based welfare outcomes in these studies. Thus, what type of housing yields the best overall welfare outcome remains to be elucidated as none of the studies found explored the mental wellbeing of sows during this period. This systematic review defines a critical knowledge gap regarding the full impact of housing on the welfare of post-weaning and early gestation sows. This gap, and thus the true welfare impact of sow housing, will only be addressed by the use of novel, more holistic assessment methods that also capture the psychological state of the sow.
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8
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Li S, Hu H, Huang J, Yang Y, Xu W, Chen J, Wan J, Li L, Zheng R, Jiang S, Chai J. Effect of Enrichment Items on the Physiology and Behavior of Sows in the Third Trimester of Pregnancy. Animals (Basel) 2022; 12:ani12111355. [PMID: 35681820 PMCID: PMC9179893 DOI: 10.3390/ani12111355] [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: 04/10/2022] [Revised: 05/19/2022] [Accepted: 05/20/2022] [Indexed: 11/16/2022] Open
Abstract
Modern intensive pig breeding harms animal welfare, which is especially noticeable for pregnant sows kept in confinement stalls. This study aimed to evaluate the effects of enrichment items on the movement and physiological parameters of sows in the third trimester of pregnancy. A total of 30 large white pregnant sows were randomly divided into three equal treatment groups (n = 10): control, pine wood, and scented wood groups. Interestingly, compared with the control group, the sows in the pine wood or scented wood groups showed less ventral lying and more lateral lying behavior (p < 0.01), coupled with significant reduction in the frequency of scratching and sham-chewing (p < 0.01), but with no significant difference in the degree of preference for these enrichment items (p > 0.05). Additionally, the sows in the pine wood or scented wood groups also decreased significantly in the concentration of immunoglobulin A (IgA) (p < 0.01) and the concentration of tumor necrosis factor-α (TNF-α) (p < 0.05) throughout the late pregnancy period. Overall, adding enrichment items to confinement stalls can alleviate the chronic stress and the stereotypic behavior of sows, suggesting their potential to reduce welfare compromise.
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Affiliation(s)
- Shuangshuang Li
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Hongqing Hu
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Jian Huang
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Yuxuan Yang
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Weijing Xu
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Junfeng Chen
- Henan Key Laboratory of Farm Animal Breeding and Nutritional Regulation, Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China;
| | - Jiawei Wan
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Lianghua Li
- Institute of Animal Husbandry and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Wuhan 430064, China;
| | - Rong Zheng
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Siwen Jiang
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Jin Chai
- Agricultural Ministry Key Laboratory of Swine Breeding and Genetics & Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China; (S.L.); (H.H.); (J.H.); (Y.Y.); (W.X.); (J.W.); (R.Z.); (S.J.)
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
- Correspondence: ; Tel.: +86-027-8728-2091
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9
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Monteiro MS, Muro BBD, Poor AP, Leal DF, Carnevale RF, Shiroma MP, Almond GW, Garbossa CAP, Moreno AM, Viana CHC. Effects of farrowing induction with prostaglandins on farrowing traits and piglet performance: A systematic review and meta-analysis. Theriogenology 2021; 180:1-16. [PMID: 34929429 DOI: 10.1016/j.theriogenology.2021.12.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/29/2021] [Accepted: 12/13/2021] [Indexed: 01/10/2023]
Abstract
Induction of farrowing with prostaglandins is a way of increasing farrowing supervision and to provide adequate care for piglets in the first hours of life. However, some studies observed negative effects associated with induction, including decreased piglet viability, reduced birth weight and decreased colostrum yield. Furthermore, the farrowing response of sows to prostaglandins treatment varies among studies, largely influenced by the induction protocol applied. Thus, a systematic review and meta-analysis was carried out to evaluate the effects of farrowing induction with prostaglandins on stillbirth rate, birth weight, pre-weaning mortality, weaning weight, farrowing duration and colostrum and milk characteristics as well as the farrowing response to prostaglandin treatment. The interval from farrowing induction to onset of farrowing (IFIOF) was 31 h, and a twice application of prostaglandin increased by 37% the proportion of sows farrowing during the next working day. Prostaglandins had no effect on farrowing duration (P > 0.05). Piglet birth weight and weaning weight were only decreased (P < 0.05) when farrowing was induced ≥3 days before the expected farrowing date (based on herd average or in gestational length of the control group). Induction three or two days before the expected farrowing date had no effect on stillbirth rate; conversely, stillbirth rate was reduced by 28% (P < 0.05) when induction was performed one day before the expected farrowing date. Farrowing induction had no influence on pre-weaning mortality. The present study strengthened the observations that farrowing induction with prostaglandins is a valuable tool to reduce gestational length variation and to synchronize farrowing during the working day, allowing better assistance to sows and piglets. To obtain the maximum benefit of farrowing induction, it is recommended that induction should be performed one or two days before the expected farrowing date.
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Affiliation(s)
- Matheus S Monteiro
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus São Paulo, SP, Brazil.
| | - Bruno B D Muro
- Department of Nutrition and Animal Production, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, SP, Brazil
| | - André P Poor
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus São Paulo, SP, Brazil
| | - Diego F Leal
- Department of Animal Reproduction, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, SP, Pirassununga, Brazil
| | - Rafaella F Carnevale
- Department of Nutrition and Animal Production, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, SP, Brazil
| | - Marina P Shiroma
- Department of Surgery, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus São Paulo, SP, Brazil
| | - Glen W Almond
- Department of Population Health & Pathobiology, College of Veterinary Medicine, North Carolina State University (NCSU), Raleigh, NC, USA
| | - Cesar A P Garbossa
- Department of Nutrition and Animal Production, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, SP, Brazil
| | - Andrea M Moreno
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus São Paulo, SP, Brazil
| | - Carlos H C Viana
- Pontifical Catholic University Minas, MG, Campus Poços de Caldas, Brazil
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10
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Liu X, Song P, Yan H, Zhang L, Wang L, Zhao F, Gao H, Hou X, Shi L, Li B, Wang L. A Comparison of the Behavior, Physiology, and Offspring Resilience of Gestating Sows When Raised in a Group Housing System and Individual Stalls. Animals (Basel) 2021; 11:ani11072076. [PMID: 34359203 PMCID: PMC8300341 DOI: 10.3390/ani11072076] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/01/2021] [Accepted: 07/09/2021] [Indexed: 12/03/2022] Open
Abstract
Simple Summary The housing patterns of gestating sows affect their health and welfare. In this study, the differences between behavior and stress hormone levels were assessed when sows were housed in a group housing system compared to individual stalls; in addition, the disease resistance and resilience of their piglets were compared. In our investigation, the group-housed sows showed more exploratory behavior, less vacuum chewing, less sitting behavior, and lower stress hormone levels throughout pregnancy. A lipopolysaccharide (LPS) injection test revealed that the offspring of group-housed sows showed better resistance and resilience to disease. Therefore, the gestating sows raised in a group housing system and their piglets are healthier and have improved welfare. Our results show that a group housing system provides higher welfare standards, with conditions that are more suitable for gestating sows in modern pig production. Abstract Being in a confined environment causes chronic stress in gestating sows, which is detrimental for sow health, welfare and, consequently, offspring physiology. This study assessed the health and welfare of gestating sows housed in a group housing system compared to individual gestation stalls. After pregnancy was confirmed, experimental sows were divided randomly into two groups: the group housing system (GS), with the electronic sow feeding (ESF) system; or individual stall (IS). The behavior of sows housed in the GS or IS was then compared; throughout pregnancy, GS sows displayed more exploratory behavior, less vacuum chewing, and less sitting behavior (p < 0.05). IS sows showed higher stress hormone levels than GS sows. In particular, at 41 days of gestation, the concentration of the adrenocorticotropic hormone (ACTH) and adrenaline (A) in IS sows was significantly higher than that of GS sows, and the A level of IS sows remained significantly higher at 71 days of gestation (p < 0.01). The lipopolysaccharide (LPS) test was carried out in the weaned piglets of the studied sows. Compared with the offspring of gestating sows housed in GS (PG) or IS (PS), PG experienced a shorter period of high temperature and showed a quicker return to the normal state (p < 0.05). Additionally, their lower levels of stress hormone (p < 0.01) suggest that PG did not suffer from as much stress as PS. These findings suggested that gestating sows housed in GS were more able to carry out their natural behaviors and, therefore, had lower levels of stress and improved welfare. In addition, PG also showed better disease resistance and resilience. These results will provide a research basis for the welfare and breeding of gestating sows.
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Affiliation(s)
- Xin Liu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Pengkang Song
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
| | - Hua Yan
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Longchao Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Ligang Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Fuping Zhao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Hongmei Gao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Xinhua Hou
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Lijun Shi
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
| | - Bugao Li
- College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
- Correspondence: (B.L.); (L.W.); Tel.: +86-010-6281-8771 (L.W.)
| | - Lixian Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (X.L.); (P.S.); (H.Y.); (L.Z.); (L.W.); (F.Z.); (H.G.); (X.H.); (L.S.)
- Correspondence: (B.L.); (L.W.); Tel.: +86-010-6281-8771 (L.W.)
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11
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An W, Zhang Y, Zhou A, Hu Y. Detrimental Effects of Restricted Cage Size on Reproductive Performance, Exploration Ability, and Anxiety but Not Working Memory of Kunming Mice. Front Behav Neurosci 2021; 15:651782. [PMID: 34220461 PMCID: PMC8248795 DOI: 10.3389/fnbeh.2021.651782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/14/2021] [Indexed: 11/13/2022] Open
Abstract
A suboptimal housing environment such as small cage size can adversely influence many aspects of the biology of laboratory animals including their response in behavioral tests. However, the effect of cage size on the mental and physical conditions of Kunming mice, which have been widely used to develop models of depression, anxiety, and many other diseases in China, are still far from clear. The purpose of this study was to investigate the effects of cage size on reproductive ability, exploratory behavior, anxiety, and working memory of Kunming mice. Two cage sizes were used, including a standard cage (20 × 30 × 25 cm3) and a restricted cage (10 × 20 × 25 cm3). The results revealed that compared with mice in the standard cages, mice in the restricted cages showed: (I) a decreased delivery rate of dams (P < 0.05) and a lower survival rate of offspring (P < 0.05), specifically in females (P < 0.05); (II) a decreased exploratory behavior (P < 0.01) and an increased anxiety level (P < 0.01); and (III) higher working memory in the T-maze test (P < 0.05). These results indicated that a restricted cage size has detrimental effects on the reproductive ability and anxiety level, but its effect on cognitive ability is complex and warrants further study. In short, these results provide empirical evidence for better practices in caring for Kunming mice, with some cautions about the effects of cage size on behavioral tests.
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Affiliation(s)
- Wenzhen An
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Ying Zhang
- Center Lab, First Hospital of Lanzhou University, Lanzhou, China
| | - Aibao Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
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12
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Herd-level factors associated with non-productive days and farrowing rate in commercial pig farms in two consecutive years. Livest Sci 2021. [DOI: 10.1016/j.livsci.2020.104312] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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13
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Koketsu Y, Iida R, Piñeiro C. A 10-year trend in piglet pre-weaning mortality in breeding herds associated with sow herd size and number of piglets born alive. Porcine Health Manag 2021; 7:4. [PMID: 33397499 PMCID: PMC7784010 DOI: 10.1186/s40813-020-00182-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 12/07/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Piglet pre-weaning mortality (PWM) is one of the biggest problems regarding sow performance and piglet welfare. Recently, PWM has increased in some countries, but it is not known if there are similar increases in other countries, nor whether increased PWM is related to either increased numbers of piglets born alive (PBA) or to sow herd size. So, the objectives of the present study were 1) to explore the trend in PWM in Spanish sow herds over a recent 10-year period, along with related measurements such as PBA, stillborn piglets, herd productivity and herd size; and 2) to examine the relationships between PWM and the related measurements. METHODS Herd-level annual data from 2007 to 2016 for 91 herds in Spain were abstracted from a sow database compiled by a veterinary consultancy firm that asked client producers to mail data files on a regular basis. The database software automatically calculated herd-level PWM (%) as follows: the total number of piglets born alive to a sow completely weaned during a year (TPBA) minus the total number of piglets weaned by the completely weaned sow during the year divided by TPBA × 100. All the statistical analyses were performed by using SAS University Edition. A growth curve model was applied to incorporate correlations for all of the observations arising from the same farm. RESULTS Over the 10 years, herd means of PWM (standard deviation) increased from 11.9 (4.1) % to 14.4 (3.2) %, and mean PBA increased by 1.9 pigs. Mean age of piglet death during lactation increased by 3.8 days, and later years were significantly associated with herd size and the number of piglets weaned per sow per year (PSY; P < 0.05). Higher PWM was associated with more PBA, more stillborn piglets and small-to-mid herds (lower than the median size: < 570 sows; P < 0.05). Also, there was a significant interaction between the herd size groups and PBA for PWM (P < 0.05): as PBA increased from 9 to 14 pigs, PWM increased by 9.6% in small-to-mid herds, compared with an increase of only 6.6% in large herds (> 570 sows). Furthermore, as PWM decreased from 18 to 8%, herd productivity measured as PSY increased by 2.2 pigs in large herds, compared with only 0.6 pigs in small-to-mid herds. CONCLUSION Large herds were better than small-to-mid herds at alleviating the association between increased PBA and increased PWM. Also, the relationship between decreased PWM and increased herd productivity was improved more in large herds than in small-to-mid herds.
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Affiliation(s)
- Yuzo Koketsu
- School of Agriculture, Meiji University, Higashi-mita 1-1-1, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan.
| | - Ryosuke Iida
- School of Agriculture, Meiji University, Higashi-mita 1-1-1, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan
| | - Carlos Piñeiro
- PigCHAMP Pro Europa S.L., c/Santa Catalina 10, 40003, Segovia, Spain
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14
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Wang C, Liu ZX, Wu YH, Wei HK, Peng J. Establishment of a multilevel linear model to analyse the factors affecting piglet litter performance at birth. Reprod Domest Anim 2020; 56:278-286. [PMID: 32939915 DOI: 10.1111/rda.13823] [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: 03/20/2020] [Accepted: 09/07/2020] [Indexed: 12/01/2022]
Abstract
This study aimed to establish a feasible model for analysing factors affecting piglet litter performance at birth. Data of 61,984 litters were collected from 16 herds, and general linear model (GLM), multilevel Poisson regression model (MPM) and multilevel linear model (MLM) were established to compare their goodness of fit for these data. Influencing factors of piglet litter performance at birth were analysed using the established optimal model. Results showed the intraclass correlation coefficients of total born piglets (TBP), piglets born alive (PBA), low-birth-weight piglets (LBW), and average birth weight of piglets (ABW) reached 27.89%, 23.88%, 24.66% and 22.27%, respectively (p < .05). Akaike's information criterion and Bayesian information criterion in MLM of TBP, PBA, LBW and ABW were lower than those in GLM. Pearson residuals in MPM increased to nearly 1 after introduction of a discrete scale factor, and the p values in MPM were similar to those in MLM. Analyses of MLM indicated crossbred sows with good management supplemented with oregano essential oil and farrowing at warm season had higher TBA, PBA and ABW, but lower LBW than other sows (p < .05). In conclusion, MLM is superior to GLM and can replace MPM in analysing discrete data with hierarchical structure in pig production. More importantly, other potential influencing factors of litter performance at birth can be analysed using the established MLM in the future.
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Affiliation(s)
- Chao Wang
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Ze-Xue Liu
- COFCO Wuhan Meat Product Co., Ltd, Wuhan, China
| | - Ying-Hui Wu
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Hong-Kui Wei
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jian Peng
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
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15
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Plane of nutrition during gestation affects reproductive performance and retention rate of hyperprolific sows under commercial conditions. Animal 2020; 15:100153. [PMID: 33573934 DOI: 10.1016/j.animal.2020.100153] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 11/10/2020] [Accepted: 11/12/2020] [Indexed: 11/20/2022] Open
Abstract
Defining a maternal plane of nutrition during gestation is pivotal for improving sow productivity and the cost-effectiveness of feeding. The benefits of increasing the amount of feed during late gestation have been controversial. The objective of this study was to investigate the effects of different planes of nutrition during gestation on reproductive performance of hyperprolific sows and pre-weaning litter performance. One hundred and thirty-five gestating sows were randomly assigned to one of three planes of nutrition throughout parities three and four (P4), as follows: Req - plane designed to meet requirements of prolific sows (2.3 kg per day from day 1 to 21; 1.8 kg per day from day 22 to 75; 2.3 kg per day from day 76 to farrowing); Bump - plane designed as the Req, with increased feed intake during late gestation (3.0 kg per day from day 91 to farrowing); and Maintenance - plane designed to closely meet maintenance requirements of sows (1.8 kg per day from day 1 to farrowing). All treatments were fed the same gestation diet (2.50MCal NE/kg; 0.67% SID Lysine; 15.17% CP). Sow biometrical parameters at farrowing and at weaning, and litter characteristics were recorded. Also, blood samples were collected for pre- and post-prandial serum glucose and plasma insulin, as well as triglycerides, calcium, and phosphorus analyses. Culling, stratified by cause, and retention rates were recorded in all treatments for each parity. Over two parities, Bump sows had higher weight gain and, at P4, had a higher number of piglets born alive (P < 0.05). Bump sows lost more weight between the end of gestation and weaning over two parities (P < 0.05). Maintenance sows showed reduced body condition score with a higher percentage of piglets removed throughout lactation (due to inappetence and inability to reach the udder) at P4 (P = 0.03). Pre- and post-prandial glucose levels were higher in Bump sows, as well as post-prandial insulin and phosphorus levels at P4 (P < 0.05). Bump sows also showed increased plasma triglycerides compared to the other treatments (P = 0.03). Retention rate was reduced in Maintenance compared to Bump and Req sows at parity 5 (P = 0.02). Taken together, our results indicate that higher feed intake allowance during late gestation may improve the sow's nutritional status triggering positive results on litter size of hyperprolific sows (e.g., more than 17 total born). However, body condition score must be carefully evaluated to prevent excessive weight gain during successive parities.
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16
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Muro BBD, Carnevale RF, Andretta I, Leal DF, Monteiro MS, Poor AP, Almond GW, Garbossa CAP. Effects of uterotonics on farrowing traits and piglet vitality: A systematic review and meta-analysis. Theriogenology 2020; 161:151-160. [PMID: 33321392 DOI: 10.1016/j.theriogenology.2020.12.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 12/05/2020] [Accepted: 12/06/2020] [Indexed: 10/22/2022]
Abstract
Uterotonics are widely used in the pig industry but their effects have not been investigated critically. The objective was to evaluate the effects of oxytocin and carbetocin on farrowing duration, birth interval, farrowing assistance, stillbirth rate, and piglet viability traits by performing a systematic review and a meta-analysis. The search for studies was performed during January 2020 using the PubMed, ISI Web of Science, Science Direct, and Scopus databases. The literature search was conducted using the key words: oxytocin, pig, farrowing, stillbirth, piglet, dose, and carbetocin. Studies which evaluated the effects of oxytocin or carbetocin on farrowing duration, birth interval, stillbirth rate, and farrowing assistance were included in the review. Of 1215 articles, 23 (1.9%) were selected for fulfilling the criteria for inclusion in the present study. A high variety of doses was observed among studies. Oxytocin increased (30%; P < 0.05) the stillborn proportion in the litters compared to control sows. Both oxytocin and carbetocin increased the need of farrowing assistance by 137% (P < 0.01) and 40% (P < 0.05), respectively, compared to control. The use of oxytocin reduced the farrowing duration by 18% and the birth interval by 17%, while carbetocin reduced the same responses by 27 and 23%, respectively (P < 0.01). When used judiciously, uterotonics are a valuable tool to shorten farrowing duration of hyperprolific sows. However, the treatment is not exempt of deleterious effects for piglets and sows. Therefore, the criteria to use these drugs should be based on individual cases and not as part of hormonal protocols for all parturient sows.
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Affiliation(s)
- Bruno B D Muro
- Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, SP, Brazil
| | - Rafaella F Carnevale
- Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, SP, Brazil
| | - Ines Andretta
- Department of Animal Science, School of Agronomy, Federal University of Rio Grande do Sul (UFRGS), RS, Brazil
| | - Diego F Leal
- Department of Animal Reproduction, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, Pirassununga, SP, Brazil
| | - Matheus S Monteiro
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus São Paulo, SP, Brazil
| | - André P Poor
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus São Paulo, SP, Brazil
| | - Glen W Almond
- Department of Population Health & Pathobiology, College of Veterinary Medicine, North Carolina State University (NCSU), Raleigh, NC, USA
| | - Cesar A P Garbossa
- Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Sciences, University of São Paulo (USP), Campus Pirassununga, SP, Brazil.
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17
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Koketsu Y, Iida R. Farm data analysis for lifetime performance components of sows and their predictors in breeding herds. Porcine Health Manag 2020; 6:24. [PMID: 32963803 PMCID: PMC7499956 DOI: 10.1186/s40813-020-00163-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/05/2020] [Indexed: 12/20/2022] Open
Abstract
Our objectives in this review are 1) to define the four components of sow lifetime performance, 2) to organize the four components and other key measures in a lifetime performance tree, and 3) to compile information about sow and herd-level predictors for sow lifetime performance that can help producers or veterinarians improve their decision making. First, we defined the four components of sow lifetime performance: lifetime efficiency, sow longevity, fertility and prolificacy. We propose that lifetime efficiency should be measured as annualized piglets weaned or annualized piglets born alive which is an integrated measure for sow lifetime performance, whereas longevity should be measured as sow life days and herd-life days which are the number of days from birth to removal and the number of days from date of first-mating to removal, respectively. We also propose that fertility should be measured as lifetime non-productive days, whereas prolificacy should be measured as lifetime pigs born alive. Second, we propose two lifetime performance trees for annualized piglets weaned and annualized piglets born alive, respectively, and show inter-relationships between the four components of the lifetime performance in these trees. Third, we describe sow and herd-level predictors for high lifetime performance of sows. An example of a sow-level predictor is that gilts with lower age at first-mating are associated with higher lifetime performance in all four components. Other examples are that no re-service in parity 0 and shorter weaning-to-first-mating interval in parity 1 are associated with higher fertility, whereas more piglets born in parity 1 is associated with higher prolificacy. It appears that fertility and prolificacy are independent each other. Furthermore, sows with high prolificacy and high fertility are more likely to have high longevity and high efficiency. Also, an increased number of stillborn piglets indicates that sows have farrowing difficulty or a herd health problem. Regarding herd-level predictors, large herd size is associated with higher efficiency. Also, herd-level predictors can interact with sow level predictors for sow lifetime performance. For example, sow longevity decreases more in large herds than small-to-mid herds, whereas gilt age at first-mating increases. So, it appears that herd size alters the impact of delayed gilt age at first-mating on sow longevity. Increased knowledge of these four components of sow lifetime performance and their predictors should help producers and veterinarians maximize a sow's potential and optimize her lifetime productivity in breeding herds.
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Affiliation(s)
- Yuzo Koketsu
- School of Agriculture, Meiji University, Higashi-mita 1-1-1, Tama-ku, Kawasaki, Kanagawa 214-8571 Japan
| | - Ryosuke Iida
- School of Agriculture, Meiji University, Higashi-mita 1-1-1, Tama-ku, Kawasaki, Kanagawa 214-8571 Japan
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18
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Bampi D, Borstnez K, Dias C, Costa O, Moreira F, Peripolli V, Oliveira Júnior J, Schwegler E, Rauber L, Bianchi I. Evaluation of reproductive and animal welfare parameters of swine females of different genetic lines submitted to different reproductive management and housing systems during pregnancy. ARQ BRAS MED VET ZOO 2020. [DOI: 10.1590/1678-4162-11767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT The aim of this study was to evaluate swine females of different genetic lines submitted to different reproductive management and housing systems during pregnancy on reproductive performance and animal welfare parameters. After artificial insemination protocol, 524 females were divided into two gestation housing systems: PEN1=animals housed in individual stalls during the breeding and after group-housed; PEN32=animals housed in individual stalls from breeding until 32 days of pregnancy and after group-housed. The number of piglets born, and the pregnancy and farrowing rates were evaluated. Welfare parameters related to the pregnancy phase were used. Females who weaned more piglets in the previous farrowing had a higher number of piglets born at the next farrowing. The pregnancy rate was affected by the number of semen doses. The farrowing rate was not influenced by the evaluated parameters, with average value of 91.36%. There was no effect of the gestation housing system and the genetic lines on pregnancy and farrowing rates, with values above 90.0%. The animal welfare indicators showed more compromised parameters in PEN1 system. PEN1 system did not impair the reproductive performance although it presented more compromised animal welfare parameters.
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Affiliation(s)
- D. Bampi
- Instituto Federal Catarinense, Brazil; Pamplona Alimentos S/A, Brazil
| | | | - C.P. Dias
- Universidade Estadual de Londrina, Brazil
| | | | - F. Moreira
- Instituto Federal Catarinense, Brazil; Instituto Federal Catarinense, Brazil
| | - V. Peripolli
- Instituto Federal Catarinense, Brazil; Instituto Federal Catarinense, Brazil
| | | | - E. Schwegler
- Instituto Federal Catarinense, Brazil; Instituto Federal Catarinense, Brazil
| | | | - I. Bianchi
- Instituto Federal Catarinense, Brazil; Instituto Federal Catarinense, Brazil
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19
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Abah KO, Itodo JI, Ubah SA, Shettima I. Reproductive performance of pigs raised by intensive management system in Abuja, Nigeria. Vet World 2019; 12:305-308. [PMID: 31040574 PMCID: PMC6460868 DOI: 10.14202/vetworld.2019.305-308] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Accepted: 12/12/2018] [Indexed: 11/16/2022] Open
Abstract
Background Population growth led to an increase in the number of people raising pigs, resulting in increased demand for piglets/pigs for breeding and pork for consumption. Aim This study was carried out to determine the reproductive performance of pigs raised by the intensive management system in Abuja, Nigeria, with a view to assist farmers in ensuring improved productivity and profitability. Materials and Methods Using an interview-based questionnaire, data from 121 sows and 649 preweaning piglets were collected in 12 herds, from September 2017 to March 2018. Measures of reproductive and production performance assessed in this study were interfarrowing interval (IFI), number of liveborn piglets (NLB), preweaning piglet mortality (PPM), age at weaning (AAW), weaning to service interval (WSI), age at first farrowing (AFF), number of piglets weaned per litter (NPWL), and number of piglets weaned per sow per year (NPWPY). Results The results obtained in this study were IFI 6.2±0.84 months, NLB 7.2±1.11, PPM 31%, AAW 40.2±3.12 days, NPWL 5.3±0.73, WSI 39.4±4.59 days, AFF 9.1±0.60 months, and NPWPY 8.1±1.21. The identified causes of PPM were maternal overlay 31.34%, splay leg/hypoglycemia 22.39%, cannibalism 20.40%, starvation 14.93%, and unknown cause 10.94%. Conclusion The result showed that the reproductive performance of the sow (especially, NPWPY and PPM) needs to be improved on. There is a need to promote extension and herd health services by veterinarians and livestock personnel to potential and existing farmers in the area. This is more so because organized pig production in the studied area is relatively new and more people are establishing pig farms in the studied area.
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Affiliation(s)
- Kenneth Owoicho Abah
- Department of Theriogenology, Faculty of Veterinary Medicine, University of Abuja, Nigeria
| | - Joy Iyojo Itodo
- Department of Theriogenology, Faculty of Veterinary Medicine, University of Abuja, Nigeria
| | - Simon Azubuike Ubah
- Department of Theriogenology, Faculty of Veterinary Medicine, University of Abuja, Nigeria
| | - Ibrahim Shettima
- Department of Animal Science, Faculty of Agriculture, Federal University Kashere, Gombe State, Nigeria
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Chantziaras I, Dewulf J, Van Limbergen T, Klinkenberg M, Palzer A, Pineiro C, Aarestrup Moustsen V, Niemi J, Kyriazakis I, Maes D. Factors associated with specific health, welfare and reproductive performance indicators in pig herds from five EU countries. Prev Vet Med 2018; 159:106-114. [PMID: 30314772 DOI: 10.1016/j.prevetmed.2018.09.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/09/2018] [Accepted: 09/05/2018] [Indexed: 10/28/2022]
Abstract
Production diseases are often of multi-factorial origin in which environment (housing, nutrition and management) health and reproductive challenges show complex interactions. The aim of this study was to identify specific environment-related factors and to discuss their associations with health, welfare and reproductive performance in sows and piglets, in diverse systems using data from 130 farms from five EU countries. Two sets of data were used: a) a questionnaire was developed for sows and piglets covering farm management, interventions and housing and b) farm production data covering various performance parameters. Eight parameters were further selected, four of which were related to sow reproductive performance (litter index, replacement rate, repeat breeding (i.e. failure to breed after one mating), weaning to first mating interval) and the remaining four to litter / piglet health performance (piglets born alive per litter, piglets born dead per litter, preweaning mortality rate and weaned piglets per litter). Univariable and multivariable linear models were employed to identify risk factors. Associations were considered significant if P ≤ 0.007 (a criterion of p ≤ 0.05 corrected for the number of parameters tested). Various risk and protective factors were identified for each tested outcome variable. Country effects were included in all models as a fixed factor. Adjusted R-squared values for the multivariable models varied between 9.6% (preweaning mortality) and 66% (litter index). Litter index (litters/sow/year) was negatively associated with a higher weaning age of the piglets. Housing recently weaned sows to be inseminated in a separate unit from the gestation unit had a positive association with litter index. Repeat breeding was negatively associated with PRRS-free farms, farms that bred (raised) all gilts on the farm and farms that perform farrowing induction of sows. PRRS-free farms were also associated with a higher replacement rate. Farms that bred gilts on the farm and PRRS-free farms were negatively associated with preweaning mortality. Natural ventilation in the gestation unit was associated with fewer piglets born alive and with fewer weaned piglets. Closed type of farms was associated with less piglets born dead. The use of open box housing system for pregnant sows (provision of individual resting areas) was associated with more weaned piglets. In conclusion, several factors related to applying good farm and health management, and optimal housing conditions showed positive association with various sow and piglet performance parameters. Further studies will help to assess causal links for these factors.
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Affiliation(s)
- Ilias Chantziaras
- Porcine Health Management Unit, Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium.
| | - Jeroen Dewulf
- Veterinary Epidemiology Unit, Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Tommy Van Limbergen
- Porcine Health Management Unit, Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Marlijn Klinkenberg
- Porcine Health Management Unit, Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Andreas Palzer
- Clinic for Swine, Ludwig-Maximilians-University, 85764 Oberschleißheim, Germany
| | | | - Vivi Aarestrup Moustsen
- The Danish Applied Pig Research Scheme, The National Committee for Pig Production, 1609 Copenhagen V, Denmark
| | - Jarkko Niemi
- Economics and Society, Natural Resources Institute Finland (Luke), 60320 Seinäjoki, Finland
| | - Ilias Kyriazakis
- Agriculture, School of Natural and Environmental Sciences, Newcastle University, NE1 7RU Newcastle upon Tyne, UK
| | - Dominiek Maes
- Porcine Health Management Unit, Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
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