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Wang S, Wu H, Lu Z, Liu W, Wang X, Fang Z, He X. Combining Ability Analysis of Yield-Related Traits of Two Elite Rice Restorer Lines in Chinese Hybrid Rice. Int J Mol Sci 2023; 24:12395. [PMID: 37569770 PMCID: PMC10418745 DOI: 10.3390/ijms241512395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Hybrid rice breeding is an important strategy for enhancing grain yield. Breeding high-performance parental lines and identifying combining abilities is a top priority for hybrid breeding. Yuenongsimiao (YNSM) and its derivative variety Yuehesimiao (YHSM) are elite restorer lines with a high ability of fertility restoration, from which 67 derived hybrid combinations have been authorized to different degrees in more than 110 instances in China. In this study, we found that YNSM and YHSM contained three candidate restorer-of-fertility (Rf) genes, Rf3, Rf4, and Rf5/Rf1a, that might confer their restoration ability. Subsequently, we investigated heterosis and combining ability of YNSM and YHSM using 50 F1 hybrids from a 5 × 10 incomplete diallelic mating design. Our results indicated that hybrid combinations exhibited significant genetic differences, and the additive effects of the parental genes played a preponderant role in the inheritance of observed traits. The metrics of plant height (PH), 1000-grain weight (TGW), panicle length (PL), and the number of spikelets per panicle (NSP) were mainly affected by genetic inheritance with higher heritability. Notably, the general combining ability (GCA) of YHSM exhibited the largest positive effect on the number of grains per panicle (NGP), NSP, PL, and TGW. Thus, YHSM had the largest GCA effect on yield per plant (YPP). In addition, the GCA of YNSM exhibited a positive impact on YPP, mainly due to the critical contribution of seed setting percentage (SSP). Moreover, YNSM and YHSM exhibited negative GCA effects on PH, implying that YNSM and YHSM could effectively enhance plant lodging resistance by reducing the plant height of the derived hybrids. Remarkably, among the hybrids, Yuanxiang A/YNSM (YXA/YNSM), Shen 08S/Yuemeizhan (S08S/YMZ), and Quan 9311A/YHSM (Q9311A/YHSM) represent promising new combinations with a higher specific combining ability (SCA) effect value on YPP with a value more than 3.50. Our research thus highlights the promising application for the rational utilization of YNSM and YHSM in hybrid rice breeding.
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Affiliation(s)
- Shiguang Wang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (S.W.); (H.W.); (Z.L.); (W.L.); (X.W.); (Z.F.)
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Haoxiang Wu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (S.W.); (H.W.); (Z.L.); (W.L.); (X.W.); (Z.F.)
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Zhanhua Lu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (S.W.); (H.W.); (Z.L.); (W.L.); (X.W.); (Z.F.)
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Wei Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (S.W.); (H.W.); (Z.L.); (W.L.); (X.W.); (Z.F.)
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Xiaofei Wang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (S.W.); (H.W.); (Z.L.); (W.L.); (X.W.); (Z.F.)
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Zhiqiang Fang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (S.W.); (H.W.); (Z.L.); (W.L.); (X.W.); (Z.F.)
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Xiuying He
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; (S.W.); (H.W.); (Z.L.); (W.L.); (X.W.); (Z.F.)
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
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Gaballah MM, Attia KA, Ghoneim AM, Khan N, EL-Ezz AF, Yang B, Xiao L, Ibrahim EI, Al-Doss AA. Assessment of Genetic Parameters and Gene Action Associated with Heterosis for Enhancing Yield Characters in Novel Hybrid Rice Parental Lines. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11030266. [PMID: 35161248 PMCID: PMC8838428 DOI: 10.3390/plants11030266] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/21/2021] [Accepted: 12/21/2021] [Indexed: 05/03/2023]
Abstract
The technology of hybrid rice utilizing heterosis is an essential requirement for achieving food security. The current study was aimed at assessing the genetic parameters and the gene actions of 15 yield-component traits associated with heterosis, in 9 new parental lines of hybrid rice and their generated hybrids. Five cytoplasmic male sterile (CMS) lines were crossed with four restorer (R) lines using twenty generated line × tester designation hybrid combinations. The results revealed that all the traits were controlled by additive and non-additive gene actions. However, the additive variance was the main component of the total genotypic variance. Assessment of the general combining ability (GCA) detected the best combiners among the genotypes. The hybrid combinations that expressed the highest-positive specific combining ability (SCA) for grain-yield were detected. The correlation between the GCA and SCA was evaluated. The hybrid crosses with high-positive heterosis, due to having a better parent for grain yield, were detected. The principal component analysis (PCA) recorded the first four principal axis displayed Eigenvalues >1 and existing variation cumulative of 83.92% in the genotypes for yield component characteristics. Three-dimensional plots corresponding to the studied traits illustrated that the genotypes Guang8A × Giza181, Quan-9311A × Giza179, II-32A × Giza181, and II-32A × Giza179 are classified as possessing superior grain yield.
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Affiliation(s)
- Mahmoud M. Gaballah
- Rice Research and Training Center, Field Crops Research Institute, Agricultural Research Center, Kafr El-Sheikh 33717, Egypt; (M.M.G.); (A.M.G.); (A.F.E.-E.)
| | - Kotb A. Attia
- Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
- Correspondence:
| | - Adel M. Ghoneim
- Rice Research and Training Center, Field Crops Research Institute, Agricultural Research Center, Kafr El-Sheikh 33717, Egypt; (M.M.G.); (A.M.G.); (A.F.E.-E.)
| | - Naeem Khan
- Department of Agronomy, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL 32611, USA;
| | - Aziz F. EL-Ezz
- Rice Research and Training Center, Field Crops Research Institute, Agricultural Research Center, Kafr El-Sheikh 33717, Egypt; (M.M.G.); (A.M.G.); (A.F.E.-E.)
| | - Baochang Yang
- Hunan Provincial Key Laboratory of Phytohormones and Growth Development, Hunan Agricultural University, Changsha 410128, China; (B.Y.); (L.X.)
| | - Langtao Xiao
- Hunan Provincial Key Laboratory of Phytohormones and Growth Development, Hunan Agricultural University, Changsha 410128, China; (B.Y.); (L.X.)
| | - Eid I. Ibrahim
- Biotechnology Lab., Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (E.I.I.); (A.A.A.-D.)
| | - Abdullah A. Al-Doss
- Biotechnology Lab., Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (E.I.I.); (A.A.A.-D.)
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Lu X, Zhou Z, Yuan Z, Zhang C, Hao Z, Wang Z, Li M, Zhang D, Yong H, Han J, Li X, Weng J. Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize. FRONTIERS IN PLANT SCIENCE 2020; 11:788. [PMID: 32793248 PMCID: PMC7387702 DOI: 10.3389/fpls.2020.00788] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 05/18/2020] [Indexed: 05/27/2023]
Abstract
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.
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Affiliation(s)
- Xin Lu
- College of Agriculture, Northeast Agricultural University, Harbin, China
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhiqiang Zhou
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhaohui Yuan
- College of Agriculture, Northeast Agricultural University, Harbin, China
| | - Chaoshu Zhang
- College of Agriculture, Northeast Agricultural University, Harbin, China
| | - Zhuanfang Hao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhenhua Wang
- College of Agriculture, Northeast Agricultural University, Harbin, China
| | - Mingshun Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Degui Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongjun Yong
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jienan Han
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xinhai Li
- College of Agriculture, Northeast Agricultural University, Harbin, China
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jianfeng Weng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
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