[en] One of the limitations of implementing animal breeding programs in small-scale or extensive production systems is the lack of production records and genealogical records. In this context, molecular markers could help to gain information for the breeding program. This study addresses the inclusion of molecular data into traditional genetic evaluation models as a random effect by molecular pedigree reconstruction and as a fixed effect by Bayesian clustering. The methods were tested for lactation curve traits in 14 dairy goat herds with incomplete phenotypic data and pedigree information. The results showed an increment of 37.3% of the relationships regarding the originals with MOLCOAN and clustering into five genetic groups. Data leads to estimating additive variance, error variance, and heritability with four different models, including pedigree and molecular information. Deviance Information Criterion (DIC) values demonstrate a greater fitting of the models that include molecular information either as fixed (genetic clusters) or as random (molecular matrix) effects. The molecular information of simple markers can complement genetic improvement strategies in populations with little information.
Disciplines :
Veterinary medicine & animal health
Author, co-author :
Cardona, Samir Julián Calvo ; Universidad Tecnológica de Pereira, Facultad de Ciencias de La Salud, Programa de Medicina Veterinaria y Zootecnia, Grupo de Investigación BIOPEC, Carrera 27 # 10-02, Álamos, Pereira-Risaralda, Colombia
García-Baccino, Carolina Andrea ; Departamento de Producción, Facultad de Agronomía, Universidad de Buenos Aires, San Martín 4453 (1417), Ciudad Autónoma de Buenos Aires, Argentina
Escobar-Restrepo, Carlos Santiago ; Grupo de investigación en Agronomía y Zootecnia-GIAZ, Facultad de Ciencias Agropecuarias, Universidad Católica de Oriente, Sector 3, Carrera 46, no 40B-50, Rionegro, Colombia. carlos99992@gmail.com
Cadavid, Henry Cardona; Universidad de Antioquia UdeA, Facultad de Ciencias Agrarias, Grupo de Investigación Agrociencias, Biodiversidad y Territorio-GAMMA, Cl. 70 # 52-21, 050010, Medellín, Colombia
Álvarez, Juan David Corrales ; Facultad de Ciencias Agropecuarias, Universidad de La Salle, Cr 7 172-85, Bogotá D.C, Colombia
Duarte, José Luis Gualdrón ; Unit of Animal Genomics, GIGA-R, University of Liège, 11 Avenue de L'Hôpital (B34), 4000, Liège, Belgium
Rogberg-Muñoz, Andres ; Departamento de Producción, Facultad de Agronomía, Universidad de Buenos Aires, San Martín 4453 (1417), Ciudad Autónoma de Buenos Aires, Argentina ; CONICET-Universidad de Buenos Aires. Instituto de Investigaciones en Producción Animal (INPA), Buenos Aires, Argentina
Language :
English
Title :
Genetic evaluations of dairy goats with few pedigree data: different approaches to use molecular information.
Publication date :
2024
Journal title :
Tropical Animal Health and Production
ISSN :
0049-4747
eISSN :
1573-7438
Publisher :
Springer Science and Business Media B.V., United States
Departamento Administrativo de Ciencia, Tecnología e Innovación
Funding text :
This research was supported in Colombia by the Project "Strategies for sustainability GaMMA" University of Antioquia (UdeA), Ministry of Agriculture and Rural Development of Colombia (MADR), Administrative Department of Science, Technology and Innovation (Colciencias, grants 528/2011 and 497/2009).We thank the Goat and Sheep Breeders Association of Antioquia (Asocabra) for providing the phenotypic data. In Argentina, this study was supported by the National Council for Scientific and Technical Research (Buenos Aires), the University of Buenos Aires (Buenos Aires), and La Plata National University (La Plata).
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