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

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 su...

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Detalles Bibliográficos
Autores principales: Jiang, Long, Rong, Meiqi, Wang, Mingxin, Chen, Dianyuan, Yu, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970928/
https://www.ncbi.nlm.nih.gov/pubmed/35371220
http://dx.doi.org/10.1155/2022/2480801
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author Jiang, Long
Rong, Meiqi
Wang, Mingxin
Chen, Dianyuan
Yu, Haiyan
author_facet Jiang, Long
Rong, Meiqi
Wang, Mingxin
Chen, Dianyuan
Yu, Haiyan
author_sort Jiang, Long
collection PubMed
description 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.
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spelling pubmed-89709282022-04-01 Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest Jiang, Long Rong, Meiqi Wang, Mingxin Chen, Dianyuan Yu, Haiyan Comput Intell Neurosci Research Article 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. Hindawi 2022-03-24 /pmc/articles/PMC8970928/ /pubmed/35371220 http://dx.doi.org/10.1155/2022/2480801 Text en Copyright © 2022 Long Jiang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jiang, Long
Rong, Meiqi
Wang, Mingxin
Chen, Dianyuan
Yu, Haiyan
Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest
title Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest
title_full Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest
title_fullStr Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest
title_full_unstemmed Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest
title_short Combining Ability Analysis of Relevant Characters of Maize Inbred Lines Suitable for Machine Harvest
title_sort combining ability analysis of relevant characters of maize inbred lines suitable for machine harvest
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970928/
https://www.ncbi.nlm.nih.gov/pubmed/35371220
http://dx.doi.org/10.1155/2022/2480801
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