Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest

Autor: Long Jiang, Meiqi Rong, Mingxin Wang, Dianyuan Chen, Haiyan Yu
Rok vydání: 2022
Předmět:
Zdroj: Computational intelligence and neuroscience. 2022
ISSN: 1687-5273
Popis: In this study, 9 maize inbred lines and 36 combinations were used as materials to analyze the combining ability of plant height, ear height, kernel depth, grain water content, tassel branches, stem diameter, and 100 kernels weight so as to screen excellent inbred lines and maize combinations with suitable mechanical harvest characters, which would provide a theoretical basis for breeding new maize varieties suitable for mechanical harvest. The results showed that JK2023, JK2368, and JK2018 were inbred lines whose comprehensive characters met the machine harvest standard and performed well. Besides, the combinations that meet the machine harvest standard and perform well were JK2023 × JK2197, JK2023 × JK2368, JK2023 × JK2005, JK2197 × JK2005, JK2197 × JK2368, and JK2368 × JK2005.
Databáze: OpenAIRE
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