Studies On Inheritance Of Main Quantitive Characters And Relative Mechanism Of Male Sterility In Capsicum

15 capsicum combinations were made with 6 parents by (1/2) n (n-1) diallel crossing. Heterosis, combining ability and Hayman genetic parameters in the resistance to TMV, CMV, phytophthora blight, bacterial spot of these combinations were studied . With 4 hot pepper self lines and 2 sweet paper self lines as the parents, 6 pungent or little pungent combinations were made as 3 types of the early-maturing x the early, the early x the late-maturing and the late x the late. The 6-paremeter model by Jinks and Jones was used to calculate the gene effects of 9 agronomic characters and the correlation coefficients among them. Path analysis of the genetic effects was carried out for the fruit characters. Simple correlation coefficients, Partial correlation coefficients, genetic correlation information and their contributions to the crop of the 15 characters were studied for 50 local capsicum varieties (hot pepper or sweet pepper). The 15 character were classified as 5 groups: fruit yield per plant (PFY), fruit character (FYC), plant character (PMC), resistance to disease (RDC) and fruit nutrition content (FNC). Multi-correlations between the FYC, PMC, RDC, FNC and PFY and generalized genetic correlation between every two groups each other were studied. The canonical correlation between every two groups each other among the 5 character groups was also analyzed. Agronomic characters and biochemical matter contents in flower buds and leaves of the two CMS lines 9704 A and 8214 A, of their each maintainers and F1 hybrids for sterile line x restorer and maintainer x restorer in pepper were studied. The correlativity between agronomic characters and yield per plant and between biochemical matter contents in flower buds and leaves and agronomic characters of CMS hybrids were estimated in pepper by using the method of grey correlation degree and Correlation Analysis. Some progresses in the mentioned above are made as follows.(1)The F1 hybrids express significant heterosis in TMV resistance but theirheterosis in CMV and phytophthora blight resistance vary greatly with the different combinations, and the heterosis is negative in bacterial spot resistance. Large differences in general combining ability appear among different parents and resistance to different diseases, but for different combinations, their special combining ability shows large difference. There exists large dominant variance but small additive variance in phytophthora blight resistance, but in CMV and bacterial spot resistance, the vice versa. The TMV resistance is the medium of the two mentioned above. Resistances to TMV, CMV and bacterial spot conform genetically to the "additive-dominant" model but the resistance to phytophthora blight doesn't do so and significant epistatic dominance effect exists in it. F1 hybrid's resistance to CMV is controlled by homozygous dominant gene(s) but resistance to bacterial spot by heterozygous one(s). There show little, nearly to zero the sum of dominant effect and genomes controlling the dominant expression for F1 hybrids in its phytophthora blight resistance.(2)Combinations made by early parent x the early have bigger absolute values in their dominant effect than that by the early x late and the late x late, and the little pungent combination have bigger absolute values of dominant effect than the pungent combinations, which suggests it is easier to breed the little pungent hybrids with strong heterosis than to breed the pungent ones, and suggests the early-maturing combinations have stronger heterosis than the middle and late-maturing combinations. Companied with other 5 genetic effects, capsicum varieties tested show biggest correlation coefficients of additive effects in its 9 quantitative characters, path analysis for 6 genetic effect of 4 fruit characters on PFY indicates effects of the mid-parent and dominant x dominance usually produce bigger path coefficients compare with the other 4 genetic effects, which means the former two genetic effects do more contributions to the PFY.(3)Simple correlation and partial correlation analy...