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Thénard V, Quénon J, Arsenos G, Bailo G, Baptista TR, Byrne T, De Barbieri I, Bruni G, Freire F, Theodoridis A, Vouraki S. Identifying selection strategies based on the practices and preferences of small ruminant farmers to improve the sustainability of their breeding systems. Animal 2024; 18:101208. [PMID: 38905776 DOI: 10.1016/j.animal.2024.101208] [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: 10/27/2023] [Revised: 05/24/2024] [Accepted: 05/24/2024] [Indexed: 06/23/2024] Open
Abstract
Small ruminant farming is of socio-economic and environmental importance to many rural communities around the world. The SMARTER H2020 project aims to redefine genetic selection criteria to increase the sustainability of the sector. The objective of this study was to analyse the selection and breeding management practices of small ruminant producers and breeders, linked with socio-technical elements that shape them. The study is based on farm surveys using semi-structured interviews conducted in five countries (France, Spain, Italy, Greece, and Uruguay) across 272 producers and breeders of 13 sheep and goat breeds, and 15 breed × system combinations. The information was collected in four sections. The first and second sections dealt with general elements of structure and management of the system and the flock/herd. The third section focused on selection and breeding management practices: criteria for culling and replacement of females, selection criteria for males, use of estimated breeding values and global indexes, and preferences for indexing new traits to increase the sustainability of their system. The fourth section aimed to collect socio-technical information. We used a data abstraction method to standardise the representation of these data. A mixed data factor analysis followed by a hierarchical ascending classification allowed the characterisation of three profiles of selection and breeding management: (1) a profile of producers (n = 93) of small flocks/herds, with little knowledge or use of genetic selection and improvement tools (selection index, artificial insemination, performance recording); these farmers do not feel that new traits are needed to improve the sustainability of their system. (2) a profile of producers (n = 34) of multibreed flocks/herds that rely significantly on grazing; they are familiar with genetic tools, they currently use AI; they would like the indexes to include more health and robustness characteristics, to make their animals more resistant and to increase the sustainability of their system. And (3) a profile of producers or breeders (n = 145) of large flocks/herds, with specific culling criteria; these farmers are satisfied with the current indexes to maintain the sustainability of their system. These results are elements that can be used by private breeding companies and associations to support the evolution of selection objectives to increase the resilience of animals and to improve the sustainability of the small ruminant breeding systems.
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Affiliation(s)
- V Thénard
- UMR 1248 AGIR, Université de Toulouse, INRAE, INPT, INP-EI Purpan, F-31326 Castanet-Tolosan, France.
| | - J Quénon
- UMR 1248 AGIR, Université de Toulouse, INRAE, INPT, INP-EI Purpan, F-31326 Castanet-Tolosan, France
| | - G Arsenos
- Laboratory of Animal Husbandry, School of Veterinary Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - G Bailo
- Associazione Regionale Allevatori Lombardia, Via Kennedy, 30, 26013 Crema, Italy
| | | | - T Byrne
- AbacusBio International Limited, Roslin Innovation Centre, University of Edinburgh, EH25 9RG Edinburgh, United Kingdom
| | | | - G Bruni
- Associazione Regionale Allevatori Lombardia, Via Kennedy, 30, 26013 Crema, Italy
| | - F Freire
- OVIGEN, Granja Florencia s/n, 49800 Toro - Zamora, Spain
| | - A Theodoridis
- Laboratory of Livestock Production Economics, School of Veterinary Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - S Vouraki
- Laboratory of Animal Husbandry, School of Veterinary Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Xiao W, Chen B, Wang J, Zou Z, Wang C, Li D, Zhu J, Yu J, Yang H. Integration of mRNA and miRNA Profiling Reveals Heterosis in Oreochromis niloticus × O. aureus Hybrid Tilapia. Animals (Basel) 2022; 12:640. [PMID: 35268207 PMCID: PMC8909811 DOI: 10.3390/ani12050640] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 02/08/2023] Open
Abstract
Heterosis is a widespread biological phenomenon in fishes, in which hybrids have superior traits to parents. However, the underlying molecular basis for heterosis remains uncertain. Heterosis in growth and survival rates is apparent in hybrid tilapia (Oreochromis niloticus ♀ × O. aureus ♂). Comparisons of growth and hematological biochemical characteristics and mRNA and miRNA transcriptional analyses were performed in hybrid and parents tilapia stocks to investigate the underlying molecular basis for heterosis. Growth characteristics and hematological glucose and cholesterol parameters were significantly improved in hybrids. Of 3097 differentially expressed genes (DEGs) and 120 differentially expressed miRNAs (DEMs) identified among three stocks (O. niloticus, O. aureus, and hybrids), 1598 DEGs and 62 DEMs were non-additively expressed in hybrids. Both expression level dominance and overdominance patterns occurred for DEGs and DEMs, indicating that dominance and overdominance models are widespread in the transcriptional and post-transcriptional regulation of genes involved in growth, metabolism, immunity, and antioxidant capacity in hybrid tilapia. Moreover, potential negative regulation networks between DEMs and predicted target DEGs revealed that most DEGs from miRNA-mRNA pairs are up-regulated. Dominance and overdominance models in levels of transcriptome and miRNAome facilitate the integration of advantageous parental alleles into hybrids, contributing to heterosis of growth and improved survival. The present study provides new insights into molecular heterosis in hybrid tilapia, advancing our understanding of the complex mechanisms involved in this phenomenon in aquatic animals.
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Affiliation(s)
- Wei Xiao
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, National Demonstration Center for Experimental Fisheries Science Education, Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China; (W.X.); (J.W.)
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; (B.C.); (Z.Z.); (D.L.); (J.Z.); (J.Y.)
| | - Binglin Chen
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; (B.C.); (Z.Z.); (D.L.); (J.Z.); (J.Y.)
| | - Jun Wang
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, National Demonstration Center for Experimental Fisheries Science Education, Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China; (W.X.); (J.W.)
| | - Zhiying Zou
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; (B.C.); (Z.Z.); (D.L.); (J.Z.); (J.Y.)
| | - Chenghui Wang
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, National Demonstration Center for Experimental Fisheries Science Education, Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China; (W.X.); (J.W.)
| | - Dayu Li
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; (B.C.); (Z.Z.); (D.L.); (J.Z.); (J.Y.)
| | - Jinglin Zhu
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; (B.C.); (Z.Z.); (D.L.); (J.Z.); (J.Y.)
| | - Jie Yu
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; (B.C.); (Z.Z.); (D.L.); (J.Z.); (J.Y.)
| | - Hong Yang
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; (B.C.); (Z.Z.); (D.L.); (J.Z.); (J.Y.)
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