Adaptive dynamics of indigenous sheep in Canary Islands, Spain: A machine learning approach

被引:0
|
作者
Débora Andréa Evangelista Façanha
Marcos Aurélio Victor de Assunção
Josiel Ferreira
Jacinara Hody Gurgel Morais Leite
Wallace Sostene Tavares da Silva
Luis Alberto Bermejo Asensio
José Ernandes Rufino de Sousa
Gabriel Adrian Sarries
Robson Mateus Freitas Silveira
机构
[1] University of International Integration of Afro-Brazilian Lusophony (UNILAB),Department of Animal Science
[2] Federal Rural University of the Semi-Arid Region (UFERSA),Department of Animal Science
[3] Instituto de Zootecnia,Department of Science Universidad de La Laguna – Carretera General do Geneto
[4] Centro de Pesquisa e Desenvolvimento de Zootecnia Diversificada,Department of Exact Sciences
[5] Federal Rural University of Paraíba (UFPB),Department of Animal Science,
[6] San Cristobal de La Laguna,undefined
[7] “Luiz de Queiroz” College Agriculture (ESALQ,undefined
[8] USP),undefined
[9] “Luiz de Queiroz” College of Agriculture,undefined
[10] University of São Paulo (USP),undefined
关键词
breed; Multivariate analysis; Thermoregulatory responses;
D O I
暂无
中图分类号
学科分类号
摘要
The objective of the study was to characterize the adaptive profile of Ibero-American sheep of the Canaria breed, evaluating the possible changes in thermoregulatory responses and coat characteristics to which the animals are exposed in the different seasons of the year. Data collected over a period of 12 months were analyzed, with information being observed in the interval of 15 days of each month, in 23 adult ewes kept in an intensive breeding system. The rectal temperature (RT) of Canaria ewes was higher (P < 0.001) in the summer and spring seasons. In contrast, the respiratory rate (RR) of the animals was higher in autumn. The surface temperature (ST) of the herd was lower during the spring. It was observed that the hair length (HL) and the hair density (NH) did not vary during the seasons. However, the hair diameter (HD) and the coat thickness (CT) varied, being in the spring, the season in which the animals had the highest HD and autumn, the season in which they had the lowest. The performance was similar throughout the seasons (P > 0.05). The morphological variables of the coat presented 63.8% of original cases grouped, which may characterize the morphological responses of the coat of these animals as an important trait of the adaptive profile of the breed, whereas the opposite occurred for thermoregulatory responses. The variables most used by the herd and that were most important were autumn (CT, NH, HD, HR, RT, and HL), summer (ST and RR), spring (RR, ST, and RT), and winter (RT, HD, HR, and RR). Sheep of the Canaria breed have an adaptive profile that dynamically uses thermoregulatory and morphological responses, molding themselves according to climate changes resulting from seasonal periods on the Island of Tenerife, Spain. The Canaria sheep stood out for the modification of the morphological characteristics of the coat, especially during autumn and spring, and can be considered an excellent genetic resource with excellent adaptive characteristics for arid environments such as those found in the Canary Islands.
引用
收藏
页码:2037 / 2045
页数:8
相关论文
共 50 条
  • [21] Adaptive stochastic resource control:: A machine learning approach
    Csaji, Balazs Csanad
    Monostori, Laszlo
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2008, 32 (453-486): : 453 - 486
  • [22] Adaptive Machine Learning Approach for Emotional Email Classification
    Karthik, K.
    Ponnusamy, R.
    HUMAN-COMPUTER INTERACTION: TOWARDS MOBILE AND INTELLIGENT INTERACTION ENVIRONMENTS, PT III, 2011, 6763 : 552 - 558
  • [23] An adaptive approach to machine learning for compact particle accelerators
    Scheinker, Alexander
    Cropp, Frederick
    Paiagua, Sergio
    Filippetto, Daniele
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [24] An adaptive approach to machine learning for compact particle accelerators
    Alexander Scheinker
    Frederick Cropp
    Sergio Paiagua
    Daniele Filippetto
    Scientific Reports, 11
  • [25] Dyke-impounded fresh groundwater resources in coastal and island volcanic aquifers: Learning from the Canary Islands (Spain)
    Marazuela, Miguel Angel
    Baquedano, Carlos
    Cruz-Perez, Noelia
    Martinez-Leon, Jorge
    Laspidou, Chrysi
    Santamarta, Juan Carlos
    Garcia-Gil, Alejandro
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 899
  • [26] Laboratory efficacy against neonate larvae of the banana weevil Cosmopolites sordidus of two indigenous entomopathogenic nematode species from the Canary Islands (Spain)
    Padilla-Cubas, Angeles
    Carnero Hernandez, Aurelio
    Garcia-del-Pino, Fernando
    INTERNATIONAL JOURNAL OF PEST MANAGEMENT, 2010, 56 (03) : 211 - 216
  • [27] Adaptive Sampling Methods for Molecular Dynamics in the Era of Machine Learning
    Kleiman, Diego E.
    Nadeem, Hassan
    Shukla, Diwakar
    JOURNAL OF PHYSICAL CHEMISTRY B, 2023, 127 (50): : 10669 - 10681
  • [28] Radon Dynamics and Effective Dose Estimation in a Touristic Volcanic Cave: La Cueva del Viento, Tenerife (Canary Islands, Spain)
    Salazar-Carballo, Pedro A.
    Lopez-Perez, Maria
    Martin-Gonzalez, Maria Esther
    Hernandez-Suarez, Francisco
    Martin-Luis, M. Candelaria
    GEOHEALTH, 2023, 7 (02):
  • [29] Predicting the body weight of Balochi sheep using a machine learning approach
    Huma, Zil E.
    Iqbal, Farhat
    TURKISH JOURNAL OF VETERINARY & ANIMAL SCIENCES, 2019, 43 (04): : 500 - 506
  • [30] A machine learning approach to simulate flexible body dynamics
    Slimak, Tomas
    Zwoelfer, Andreas
    Todorov, Bojidar
    Rixen, Daniel
    MULTIBODY SYSTEM DYNAMICS, 2025,