Assessment of the Potential for Genomic Selection To Improve Husk Traits in Maize.

Cui, Zhenhai; Dong, Haixiao; Zhang, Ao; Ruan, Yanye; He, Yan; Zhang, Zhiwu

Cui, Zhenhai; Dong, Haixiao; Zhang, Ao; Ruan, Yanye; He, Yan; Zhang, Zhiwu.

Affiliation

Cui Z; College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang 110866, China.
Dong H; Dept. of Crop and Soil Sciences, Washington State University, Pullman, WA 99164.
Zhang A; Dept. of Crop and Soil Sciences, Washington State University, Pullman, WA 99164.
Ruan Y; College of Plant Sciences, Jilin University, Changchun 130062, China.
He Y; College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang 110866, China.
Zhang Z; College of Biological Science and Technology, Liaoning Province Research Center of Plant Genetic Engineering Technology, Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang Agricultural University, Shenyang 110866, China.

G3 (Bethesda) ; 10(10): 3741-3749, 2020 10 05.

Article de En | MEDLINE | ID: mdl-32816916

Sujet(s)
Mots clés

GAPIT; GenPred; Genomic; Prediction; Shared data resources; breeding; gBLUP; genomic selection; husk; maize; marker assisted selection; population structure; prediction accuracy; rrBLUP

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Zea mays / Locus de caractère quantitatif Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: G3 (Bethesda) Année: 2020 Type de document: Article Pays d'affiliation: Chine

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google