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Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize

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Title Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize
 
Creator Ao Zhang
Pérez Rodriguez, Paulino
San Vicente, Felix M.
Palacios Rojas, Natalia
Dhliwayo, Thanda
Yubo Liu
Zhenhai Cui
Yuan Guan
Hui Wang
Hongjian Zheng
Olsen, Michael
Boddupalli, P.M.
Yanye Ruan
Crossa, José
Xuecai Zhang
 
Subject maize
marker-assisted selection
combining ability
 
Description The two most important activities in maize breeding are the development of inbred lines with high values of general combining ability (GCA) and specific combining ability (SCA), and the identification of hybrids with high yield potentials. Genomic selection (GS) is a promising genomic tool to perform selection on the untested breeding material based on the genomic estimated breeding values estimated from the genomic prediction (GP). In this study, GP analyses were carried out to estimate the performance of hybrids, GCA, and SCA for grain yield (GY) in three maize line-by-tester trials, where all the material was phenotyped in 10 to 11 multiple-location trials and genotyped with a mid-density molecular marker platform. Results showed that the prediction abilities for the performance of hybrids ranged from 0.59 to 0.81 across all trials in the model including the additive effect of lines and testers. In the model including both additive and non-additive effects, the prediction abilities for the performance of hybrids were improved and ranged from 0.64 to 0.86 across all trials. The prediction abilities of the GCA for GY were low, ranging between − 0.14 and 0.13 across all trials in the model including only inbred lines; the prediction abilities of the GCA for GY were improved and ranged from 0.49 to 0.55 across all trials in the model including both inbred lines and testers, while the prediction abilities of the SCA for GY were negative across all trials. The prediction abilities for GY between testers varied from − 0.66 to 0.82; the performance of hybrids between testers is difficult to predict. GS offers the opportunity to predict the performance of new hybrids and the GCA of new inbred lines based on the molecular marker information, the total breeding cost could be reduced dramatically by phenotyping fewer multiple-location trials.
 
Date 2022-02
2023-01-01T16:03:43Z
2023-01-01T16:03:43Z
 
Type Journal Article
 
Identifier Zhang, A., Pérez-Rodríguez, P., San Vicente, F., Palacios-Rojas, N., Dhliwayo, T., Liu, Y., Cui, Z., Guan, Y., Wang, H., Zheng, H., Olsen, M., Prasanna, B.M., Ruan, Y., Crossa, J. and Zhang, X. 2022. Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize. The Crop Journal 10(1):109–116. https://hdl.handle.net/10883/21975
2214-5141
https://hdl.handle.net/10568/126428
https://hdl.handle.net/10883/21975
https://doi.org/10.1016/j.cj.2021.04.007
 
Language en
 
Rights CC-BY-NC-ND-4.0
Open Access
 
Format application/pdf
 
Publisher Elsevier BV
 
Source Crop Journal