Abstract

As future climate challenges become increasingly evident, enhancing performance resilience of farm animals may contribute to mitigation against adverse weather and seasonal variation, and underpin livestock farming sustainability. In the present study, we develop novel seasonal resilience phenotypes reflecting milk production changes to fluctuating weather. We evaluate the impact of calendar season (autumn, winter and spring) on animal performance resilience by analysing 420,534 milk records of 36,908 milking ewes of the Chios breed together with relevant meteorological data from eastern Mediterranean. We reveal substantial seasonal effects on resilience and significant heritable trait variation (h2 = 0.03–0.17). Resilience to cold weather (10 °C) of animals that start producing milk in spring was under different genetic control compared to autumn and winter as exemplified by negative genetic correlations (− 0.09 to − 0.27). Animal resilience to hot weather (25 °C) was partially under the same genetic control with genetic correlations between seasons ranging from 0.43 to 0.86. We report both favourable and antagonistic associations between animal resilience and lifetime milk production, depending on calendar season and the desirable direction of genetic selection. Concluding, we emphasise on seasonal adaptation of animals to climate and the need to incorporate the novel seasonal traits in future selective breeding programmes.

Details

Title
Understanding the seasonality of performance resilience to climate volatility in Mediterranean dairy sheep
Author
Tsartsianidou Valentina 1 ; Kapsona, Vanessa Varvara 2 ; Sánchez-Molano, Enrique 3 ; Zoitsa, Basdagianni 4 ; Carabaño, Maria Jesús 5 ; Chatziplis Dimitrios 6 ; Arsenos Georgios 7 ; Triantafyllidis Alexandros 1 ; Banos Georgios 8 

 Aristotle University of Thessaloniki, Department of Genetics, Development & Molecular Biology, School of Biology, Thessaloniki, Greece (GRID:grid.4793.9) (ISNI:0000000109457005) 
 Roslin Institute Building, Department of Animal and Veterinary Sciences, Scotland’s Rural College, Midlothian, UK (GRID:grid.482685.5) (ISNI:0000 0000 9166 3715) 
 University of Edinburgh, Division of Genetics and Genomics, The Roslin Institute and Royal (Dick) School of Veterinary Studies, Midlothian, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) 
 Aristotle University of Thessaloniki, Department of Animal Production, School of Agriculture, Thessaloniki, Greece (GRID:grid.4793.9) (ISNI:0000000109457005) 
 Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Departamento de Mejora Genética Animal, Madrid, Spain (GRID:grid.419190.4) (ISNI:0000 0001 2300 669X) 
 International Hellenic University, Laboratory of Agrobiotechnology and Inspection of Agricultural Products, Department of Agriculture, Sindos, Greece (GRID:grid.449057.b) (ISNI:0000 0004 0416 1485) 
 Aristotle University of Thessaloniki, Laboratory of Animal Husbandry, School of Veterinary Medicine, Thessaloniki, Greece (GRID:grid.4793.9) (ISNI:0000000109457005) 
 Roslin Institute Building, Department of Animal and Veterinary Sciences, Scotland’s Rural College, Midlothian, UK (GRID:grid.482685.5) (ISNI:0000 0000 9166 3715); Aristotle University of Thessaloniki, Laboratory of Animal Husbandry, School of Veterinary Medicine, Thessaloniki, Greece (GRID:grid.4793.9) (ISNI:0000000109457005) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2479577852
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.