An assessment of the performance of the logistic mixed model for analyzing binary traits in maize and sorghum diversity panels.

Shenstone, Esperanza; Cooper, Julian; Rice, Brian; Bohn, Martin; Jamann, Tiffany M; Lipka, Alexander E

Shenstone, Esperanza; Cooper, Julian; Rice, Brian; Bohn, Martin; Jamann, Tiffany M; Lipka, Alexander E.

Afiliación

Shenstone E; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Cooper J; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Rice B; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Bohn M; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Jamann TM; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Lipka AE; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.

PLoS One ; 13(11): e0207752, 2018.

Article en En | MEDLINE | ID: mdl-30462727

Asunto(s)

Variación Genética; Estudio de Asociación del Genoma Completo; Modelos Estadísticos; Sorghum/genética; Zea mays/genética; Modelos Lineales

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Modelos Estadísticos / Zea mays / Sorghum / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

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