Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize
Maize yield components including row number, kernel number per row, kernel thickness, kernel width, kernel length, 100-kernel weight, and volume weight affect grain yield directly. Previous studies mainly focused on dissecting the genetic basis of per se performances for yield-related traits, but th...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-07-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fpls.2020.00788/full |
| _version_ | 1811340667142537216 |
|---|---|
| author | Xin Lu Xin Lu Zhiqiang Zhou Zhaohui Yuan Chaoshu Zhang Zhuanfang Hao Zhenhua Wang Mingshun Li Degui Zhang Hongjun Yong Jienan Han Xinhai Li Xinhai Li Jianfeng Weng |
| author_facet | Xin Lu Xin Lu Zhiqiang Zhou Zhaohui Yuan Chaoshu Zhang Zhuanfang Hao Zhenhua Wang Mingshun Li Degui Zhang Hongjun Yong Jienan Han Xinhai Li Xinhai Li Jianfeng Weng |
| author_sort | Xin Lu |
| collection | DOAJ |
| description | Maize yield components including row number, kernel number per row, kernel thickness, kernel width, kernel length, 100-kernel weight, and volume weight affect grain yield directly. Previous studies mainly focused on dissecting the genetic basis of per se performances for yield-related traits, but the genetic basis of general combining ability (GCA) for these traits is still unclear. In the present study, 328 RILs were crossed as males to two testers according to the NCII mating design, resulting in a hybrid panel composed of 656 hybrids. Both the hybrids and parental lines were evaluated in four environments in 2015 and 2016. Correlation analysis showed the performances of GCA effects were significantly correlated to the per se performances of RILs for all yield-related traits (0.17 ≤ r ≤ 0.64, P > 0.01). Only 17 of 95 QTL could be detected for both per se performances of RILs and GCA effects for eight yield-related traits. The QTL qKN7-1 and qHKW1-3, which could explain more than 10% of the variation in the GCA effects of KN and HKW, were also detected for per se performances for the traits. The pleiotropic loci qRN3-1 and qRN6, which together explained 14.92% of the observed variation in GCA effects for RN, were associated with the GCA effects of KW and HKW, but not with per se performances for these traits. In contrast, Incw1, which was related to seed weight in maize, was mapped to the region surrounding MK2567 at the qHKW5-2 locus, but no GCA effect was detected. The QTL identified in present study for per se performances and corresponding GCA effects for yield-related traits might be useful for maize hybrid breeding. |
| first_indexed | 2024-04-13T18:45:19Z |
| format | Article |
| id | doaj.art-8526486bd3fe4d10ab1900156baa9883 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-13T18:45:19Z |
| publishDate | 2020-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-8526486bd3fe4d10ab1900156baa98832022-12-22T02:34:36ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2020-07-011110.3389/fpls.2020.00788535779Genetic Dissection of the General Combining Ability of Yield-Related Traits in MaizeXin Lu0Xin Lu1Zhiqiang Zhou2Zhaohui Yuan3Chaoshu Zhang4Zhuanfang Hao5Zhenhua Wang6Mingshun Li7Degui Zhang8Hongjun Yong9Jienan Han10Xinhai Li11Xinhai Li12Jianfeng Weng13College of Agriculture, Northeast Agricultural University, Harbin, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaCollege of Agriculture, Northeast Agricultural University, Harbin, ChinaCollege of Agriculture, Northeast Agricultural University, Harbin, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaCollege of Agriculture, Northeast Agricultural University, Harbin, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaCollege of Agriculture, Northeast Agricultural University, Harbin, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, ChinaMaize yield components including row number, kernel number per row, kernel thickness, kernel width, kernel length, 100-kernel weight, and volume weight affect grain yield directly. Previous studies mainly focused on dissecting the genetic basis of per se performances for yield-related traits, but the genetic basis of general combining ability (GCA) for these traits is still unclear. In the present study, 328 RILs were crossed as males to two testers according to the NCII mating design, resulting in a hybrid panel composed of 656 hybrids. Both the hybrids and parental lines were evaluated in four environments in 2015 and 2016. Correlation analysis showed the performances of GCA effects were significantly correlated to the per se performances of RILs for all yield-related traits (0.17 ≤ r ≤ 0.64, P > 0.01). Only 17 of 95 QTL could be detected for both per se performances of RILs and GCA effects for eight yield-related traits. The QTL qKN7-1 and qHKW1-3, which could explain more than 10% of the variation in the GCA effects of KN and HKW, were also detected for per se performances for the traits. The pleiotropic loci qRN3-1 and qRN6, which together explained 14.92% of the observed variation in GCA effects for RN, were associated with the GCA effects of KW and HKW, but not with per se performances for these traits. In contrast, Incw1, which was related to seed weight in maize, was mapped to the region surrounding MK2567 at the qHKW5-2 locus, but no GCA effect was detected. The QTL identified in present study for per se performances and corresponding GCA effects for yield-related traits might be useful for maize hybrid breeding.https://www.frontiersin.org/article/10.3389/fpls.2020.00788/fullmaizeyield-related traitsNCII mating designcombining abilityQTL |
| spellingShingle | Xin Lu Xin Lu Zhiqiang Zhou Zhaohui Yuan Chaoshu Zhang Zhuanfang Hao Zhenhua Wang Mingshun Li Degui Zhang Hongjun Yong Jienan Han Xinhai Li Xinhai Li Jianfeng Weng Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize Frontiers in Plant Science maize yield-related traits NCII mating design combining ability QTL |
| title | Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize |
| title_full | Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize |
| title_fullStr | Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize |
| title_full_unstemmed | Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize |
| title_short | Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize |
| title_sort | genetic dissection of the general combining ability of yield related traits in maize |
| topic | maize yield-related traits NCII mating design combining ability QTL |
| url | https://www.frontiersin.org/article/10.3389/fpls.2020.00788/full |
| work_keys_str_mv | AT xinlu geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT xinlu geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT zhiqiangzhou geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT zhaohuiyuan geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT chaoshuzhang geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT zhuanfanghao geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT zhenhuawang geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT mingshunli geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT deguizhang geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT hongjunyong geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT jienanhan geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT xinhaili geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT xinhaili geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize AT jianfengweng geneticdissectionofthegeneralcombiningabilityofyieldrelatedtraitsinmaize |