The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform
Jienan Han - One of the best experts on this subject based on the ideXlab platform.
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Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize.
Frontiers in plant science, 2020Co-Authors: Lu Xin, Zhiqiang Zhou, Zhaohui Yuan, Chaoshu Zhang, Zhuanfang Hao, Zhenhua Wang, Degui Zhang, Yong Hongjun, Jienan HanAbstract: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.
Daichang Yang - One of the best experts on this subject based on the ideXlab platform.
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OsPRR37 and Ghd7 are the major genes for General Combining Ability of DTH, PH and SPP in rice.
Scientific reports, 2015Co-Authors: Chuan Liu, Daiming Jiang, Gaoyuan Song, Yanhao Zhou, Zhibin Guo, Zhenwei Liu, Daichang YangAbstract:Artificial selection of high yield crops and better livestock is paramount importance in breeding programs. Selection of elite parents with preferred traits from a phalanx of inbred lines is extremely laborious, time-consuming and highly random. General Combining Ability (GCA) was proposed and has been widely used for the evaluation of parents in hybrid breeding for more than half a century. However, the genetic and molecular basis of GCA has been largely overlooked. Here, we present two pleotropic QTLs are accounting for GCA of days to heading (DTH), plant height (PH) and spikelet per panicle (SPP) using an F2-based NCII design, the BC3F2 population as well as a set of nearly isogenic lines (NILs) with five testers. Both GCA1 and GCA2 were loss-of-function gene in low-GCA parent and gain-of-function gene in high-GCA parent, encoding the putative Pseudo-Response Regulators, OsPRR37 and Ghd7, respectively. Overexpression of GCA1 in low-GCA parent significantly increases GCA effects in three traits. Our results demonstrate that two GCA loci associate with OsPRR37 and Ghd7 and reveal that the genes responsible for important agronomic traits could simultaneously account for GCA effects.
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the phenotypic predisposition of the parent in f1 hybrid is correlated with transcriptome preference of the positive General Combining Ability parent
BMC Genomics, 2014Co-Authors: Gaoyuan Song, Xuefeng Qu, Daiming Jiang, Wei Wang, Daichang YangAbstract:Sprague and Tatum (1942) introduced the concepts of General Combining Ability (GCA) and specific Combining Ability (SCA) to evaluate the breeding parents and F1 hybrid performance, respectively. Since then, the GCA was widely used in cross breeding for elite parent selection. However, the molecular basis of GCA remains to unknown. We studied the transcriptomes of three varieties and three F1 hybrids using RNA-Sequencing. Transcriptome sequence analysis revealed that the transcriptome profiles of the F1s were similar to the positive GCA-effect parent. Moreover, the expression levels of most differentially expressed genes (DEGs) were equal to the parent with a positive GCA effect. Analysis of the gene expression patterns of gibberellic acid (GA) and flowering time pathways that determine plant height and flowering time in rice validated the preferential transcriptome expression of the parents with positive GCA effect. Furthermore, H3K36me3 modification bias in the Pseudo-Response Regulators (PRR) gene family was observed in the positive GCA effect parents and demonstrated that the phenotype and transcriptome bias in the positive GCA effect parents have been epigenetically regulated by either global modification or specific signaling pathways in rice. The results revealed that the transcriptome profiles and DEGs in the F1s were highly related to phenotype bias to the positive GCA-effect parent. The transcriptome bias toward high GCA parents in F1 hybrids attributed to H3K36me3 modification both on global modification level and specific signaling pathways. Our results indicated the transcriptome profile and epigenetic modification level bias to high GCA parents could be the molecular basis of GCA.
Wang Xiao-ming - One of the best experts on this subject based on the ideXlab platform.
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Analysis on Combining Ability and heterosis of starch-content in super-sweet corn
Journal of Zhongkai University of Agriculture and Engineering, 2013Co-Authors: Wang Xiao-mingAbstract:Eight inbreds and their combined 28 hybrids were designed based on the method of Griffing Ⅳ.The Combining Ability effects and heterosis of starch trait were studied in super-sweet corn.The results indicated that the starch content were mainly controlled by additive genes,and also affected by nonadditive genes;the difference of General Combining Ability effect among parents and special Combining Ability effect among combinations and its variation range was significant;the order of starch content General Combining Ability(GCA) value was : T14 T1 T3 T4 T7 T33 T5 T8;the effect of total Combining Ability involving General Combining Ability and special Combining Ability could be more effective to value the heterosis of different combinations.T1 × T3,T5 × T33,T5 × T7 and T4 × T3 had low starch content and preferable palatAbility.T8,T5 had a stable genetic characteristics,low starch of traits could be passed to the most combinations stably,these two lines can be used as an excellent resource in breeding.
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Genetic property and Combining Ability of dietary fiber content in super-sweet corn
Journal of Gansu Agricultural University, 2010Co-Authors: Wang Xiao-mingAbstract:According to complete diallel crossing Griffing MethodⅡ,a set of combinations involving eight inbred lines was made to study the effect of Combining Ability of soluble and insoluble dietary fiber content in super-sweet corn.The results indicated that:1) the inheritance of soluble and insoluble dietary fiber trait were mainly controlled by additive genes,and also affected by non-additive genes;2) the difference of General Combining Ability effect among parents and special Combining Ability effect among combination and its variation range was high; the effect of total Combining Ability involving General Combining Ability and special Combining Ability proved the heterosis of hybridized combination to be better;3) the difference between General Combining Ability among inbred lines,and special Combining Ability among combinations was obvious.The effect of total Combining Ability involving General Combining Ability and special Combining Ability proved the heterosis of hybridized combination to be better; (4)the highest effect value of total Combining Ability of soluble dietary fiber was T14×T3,T14×T7,T3×T7,T14×T4,T3×T8 ranked 2 to 4 respectively.the highest effect value of total Combining Ability of insoluble dietary fiber was T14×T7,T14×T1,T8×T33,T1×T5,T3×T1,T14×T3 ranked 2 to 5 respectively.
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Study on genetic trait and Combining Ability of fructose content in super sweet corn
Journal of Zhongkai University of Agriculture and Engineering, 2010Co-Authors: Wang Xiao-mingAbstract:According to complete diallel crossing Griffing MethodⅡ,a set of combinations involving eight inbred lines was used to study the effect of Combining Ability of fructose content in super-sweet corn.The results indicated that ① fructose content were simultaneously controlled by additive and non-additive genes;② the effect value of General Combining Ability(GCA) of parent T14 was the highest among the tested lines,and that T4 line was the second highest;the effect value of specific Combining Ability(SCA) of T4×T8 and T14×T1 lines was top 2 of tested lines;the effect value of total Combining Ability(TCA) of T14×T1,T4×T8 and T14×T3 lines ranked No.1,No.2 and No.3,respectively;③ the General Combining Ability effect among parents and the special Combining Ability effect among combinations was of great difference;④ the effect of total Combining Ability involving General Combining Ability and special Combining Ability could be more effective to value the heterosis of different combinations.
Jochen C Reif - One of the best experts on this subject based on the ideXlab platform.
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relevance of specific versus General Combining Ability in winter wheat
Crop Science, 2012Co-Authors: Manje Gowda, Friedrich C H Longin, Volker Lein, Jochen C ReifAbstract:Knowledge of quantitative genetic parameters is crucial in allocating resources for different steps of multistage selection programs. The main objective of the present study was to investigate the magnitude of variance of General Combining Ability (GCA) and specifi c Combining Ability (SCA) effects and their interaction with environments in wheat (Triticum aestivum L.). We used four data sets (Exp. 1, 2, 3, and 4) generated in commercial hybrid winter wheat breeding programs with a total of 940 hybrids evaluated in multienvironment trials in 2010 and 2011 in France. In at least three out of four experiments, General Combining Ability variance for females (σ 2 GCA-F ), specifi c Combining Ability variance (σ 2 SCA ), General Combining Ability of females × environment interaction variance (σ 2 GCA-F×E ), and General Combining Ability of males × times environment interaction variance (σ 2 GCA-M×E ) were signifi cantly larger than zero but General Combining Ability variance for males (σ 2 GCA-M ) was signifi cant only in Exp. 4. For Exp. 3, we found no signifi cant difference between the best performing hybrid and the best performing commercial variety. In contrast, 1.8% of hybrids in Exp. 2 and more than 21% of the hybrids in Exp. 1 and 4 signifi cantly (P < 0.05) outperformed the best commercial variety included in the respective experiment. This superiority was even apparent when projecting our fi ndings on line varieties of the same cycle of selection. In Exp. 2, 3, and 4, General Combining Ability variance (σ 2 GCA ) was more pronounced compared to σ 2 SCA . Moreover, correlation between GCA predicted and observed hybrid performance was medium to high (r Exp.1 = 0.50, P < 0.01; r Exp.2 = 0.90, P < 0.01; r Exp.3 = 0.59, P < 0.01; and r Exp.4 = 0.92, P < 0.01). Consequently, selection based on GCA effects is promising in hybrid wheat breeding program.
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Hybrid maize breeding with doubled haploids: II. Optimum type and number of testers in two-stage selection for General Combining Ability
Theoretical and Applied Genetics, 2007Co-Authors: C F H Longin, Albrecht E. Melchinger, H F Utz, Jochen C ReifAbstract:Optimum allocation of test resources is of crucial importance for the efficiency of breeding programs. Our objectives were to (1) determine the optimum allocation of the number of lines, test locations, as well as number and type of testers in hybrid maize breeding using doubled haploids with two breeding strategies for improvement of General Combining Ability (GCA), (2) compare the maximum selection gain (Δ G ) achievable under both strategies, and (3) give recommendations for the optimum implementation of doubled haploids in commercial hybrid maize breeding. We calculated Δ G by numerical integration for two two-stage selection strategies with evaluation of (1) testcross performance in both stages (BS1) or (2) line per se performance in the first stage followed by testcross performance in the second stage (BS2). Different assumptions were made regarding the budget, variance components (VCs), and the correlation between line per se performance and GCA. Selection gain for GCA increased with a broader genetic base of the tester. Hence, testers Combining a large number of divergent lines are advantageous. However, in applied breeding programs, the use of single- or double-cross testers in the first and inbred testers in the second selection stage may be a good compromise between theoretical and practical requirements. With a correlation between line per se performance and GCA of 0.50, Δ G for BS1 is about 5% higher than for BS2, if an economic weight of line per se performance is neglected. With increasing economic weight of line per se performance, relative efficiency of BS2 increased rapidly resulting in a superiority of BS2 over BS1 already for an economic weight for line per se performance larger than 0.1. Considering the importance of an economic seed production, an economic weight larger than 0.1 seems realistic indicating the necessity of separate breeding strategies for seed and pollen parent heterotic groups.
Lu Xin - One of the best experts on this subject based on the ideXlab platform.
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Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize.
Frontiers in plant science, 2020Co-Authors: Lu Xin, Zhiqiang Zhou, Zhaohui Yuan, Chaoshu Zhang, Zhuanfang Hao, Zhenhua Wang, Degui Zhang, Yong Hongjun, Jienan HanAbstract: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.