Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels

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Cultivated bread wheat (Triticum aestivum L.) is an allohexaploid species resulting from the natural hybridization and chromosome doubling of allotetraploid durum wheat (T. turgidum) and a diploid goatgrass Aegilops tauschii Coss (Ae. tauschii). Synthetic hexaploid wheat (SHW) was developed through...

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Detalles Bibliográficos
Otros Autores: Puhl, Laura Elena, Crossa, José, Munilla Leguizamón, Sebastián, Pérez Rodríguez, Paulino, Cantet, Rodolfo Juan Carlos
Formato: Artículo
Lenguaje:Inglés
Materias:
SYNTHETIC WHEAT
POLYPLOIDY
ADDITIVE GENETIC VARIANCE
BREEDING VALUES
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2021puhl.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 1 |a Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels 
520 |a Cultivated bread wheat (Triticum aestivum L.) is an allohexaploid species resulting from the natural hybridization and chromosome doubling of allotetraploid durum wheat (T. turgidum) and a diploid goatgrass Aegilops tauschii Coss (Ae. tauschii). Synthetic hexaploid wheat (SHW) was developed through the interspecific hybridization of Ae. tauschii and T. turgidum, and then crossed to T. aestivum to produce synthetic hexaploid wheat derivatives (SHWDs). Owing to this founding variability, one may infer that the genetic variances of native wild populations vs improved wheat may vary due to their differential origin and evolutionary history. In this study, we partitioned the additive variance of SHW and SHWD with respect to their breed origin by fitting a hierarchical Bayesian model with heterogeneous covariance structure for breeding values to estimate variance components for each breed category, and segregation variance. Two data sets were used to test the proposed hierarchical Bayesian model, one from a multi-year multi-location field trial of SHWD and the other comprising the two species of SHW. For the SHWD, the Bayesian estimates of additive variances of grain yield from each breed category were similar for T. turgidum and Ae. tauschii, but smaller for T. aestivum. Segregation variances between Ae. tauschii—T. aestivum and T. turgidum— T. aestivum populations explained a sizable proportion of the phenotypic variance. Bayesian additive variance components and the Best Linear Unbiased Predictors (BLUPs) estimated by two well-known software programs were similar for multi-breed origin and for the sum of the breeding values by origin for both data sets. Our results support the suitability of models with heterogeneous additive genetic variances to predict breeding values in wheat crosses with variable ploidy levels. 
650 |2 Agrovoc  |9 26 
653 |a SYNTHETIC WHEAT 
653 |a POLYPLOIDY 
653 |a ADDITIVE GENETIC VARIANCE 
653 |a BREEDING VALUES 
700 1 |a Puhl, Laura Elena  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.  |9 11394 
700 1 |a Crossa, José  |u Biometrics and Statistics Unit. International Maize and Wheat Improvement Center (CIMMYT).Texcoco, Edo. de México, México.  |u Colegio de Postgraduados. Departamento de Estadística. Montecillo, Edo. de México, México.  |9 7129 
700 1 |9 13019  |a Munilla Leguizamón, Sebastián  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.  |u Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina.  |u CONICET - Universidad de Buenos Aires. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina. 
700 1 |a Pérez Rodríguez, Paulino  |u Colegio de Postgraduados. Departamento de Estadística. Montecillo, Edo. de México, México.  |9 73875 
700 1 |a Cantet, Rodolfo Juan Carlos  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.  |u Universidad de Buenos Aires. Facultad de Ciencias Veterinarias. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina.  |u CONICET - Universidad de Buenos Aires. Instituto de Investigaciones en Producción Animal (INPA). Buenos Aires, Argentina.  |9 12817 
773 0 |t Genetics  |g Vol.217, no.2 (2021), art.iyaa048, 15 p., grafs., tbls. 
856 |f 2021puhl  |i en reservorio  |q application/pdf  |u http://ri.agro.uba.ar/files/intranet/articulo/2021puhl.pdf  |x ARTI202206 
856 |u https://www.genetics.org/  |z LINK AL EDITOR 
942 |c ARTICULO 
942 |c ENLINEA 
976 |a AAG 

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