Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize
Type:
Title:
Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize
Creator:
Ao Zhang;
Perez-Rodriguez, P.;
San Vicente, F.M.;
Palacios-Rojas, N.;
Dhliwayo, T.;
Yubo Liu;
Zhenhai Cui;
Yuan Guan;
Hui Wang;
Hongjian Zheng;
Olsen, M.;
Prasanna, B.M.;
Yanye Ruan;
Crossa, J.;
Zhang, X.
Perez-Rodriguez, P.;
San Vicente, F.M.;

Palacios-Rojas, N.;

Dhliwayo, T.;

Yubo Liu;
Zhenhai Cui;
Yuan Guan;
Hui Wang;
Hongjian Zheng;
Olsen, M.;

Prasanna, B.M.;

Yanye Ruan;
Crossa, J.;

Zhang, X.

Year:
2022
Copyright:
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Journal:
Crop Journal
Journal volume:
10
Journal issue:
1
Pages:
109-116
Place of Publication:
Netherlands
Publisher:
Elsevier
Citation:
Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize. 2022. 10 (1) DOI: 10.1016/j.cj.2021.04.007 Elsevier.
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CGIAR Initiatives
Initiative:
Accelerated Breeding
Impact Area:
Nutrition, health & food security
Action Area:
Genetic Innovation
Donor or Funder:
Shanghai Agriculture Applied Technology Development Program
Bill & Melinda Gates Foundation
CGIAR Research Program on Maize
National Key Research and Development Program of China
National Natural Science Foundation of China
Shenyang City Key Laboratory of Maize Genomic Selection
Shanghai Municipal Finance Bureau
Liaoning Province Key Scientific and Technological Research and Development Project
Bill & Melinda Gates Foundation
CGIAR Research Program on Maize
National Key Research and Development Program of China
National Natural Science Foundation of China
Shenyang City Key Laboratory of Maize Genomic Selection
Shanghai Municipal Finance Bureau
Liaoning Province Key Scientific and Technological Research and Development Project
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