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Study On Variation Of Traits Of Agriculture,Quality And Separation Of HWM-GS Component In F2 Hybrid Generation Of Yumai66 And Yannong19

Posted on:2017-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:T T YangFull Text:PDF
GTID:2283330485494051Subject:Agricultural extension
Abstract/Summary:PDF Full Text Request
In this study, Yumai66×Yannongl9 F2 generation groups were used as material, plant height, grain yield per plant, panicle length, panicle, spikelets degradation spikelets,1000 grain height of seven agronomic traits and protein content on a dry basis, wet gluten content, water absorption, stability time, development time, hardness, sedimentation value, flour yield and amylose value, GMP content and other quality traits isolated law were researched and analyzed in relationships, and its HMW protein subunits composition were identified and studied by method of SDS-PAGE.The results showed below:1. In Yumai 66 X Yannong 19 F2 generation,the coefficient of variation of agronomic traits of in descending order was degradation spikelets> weight per plant> panicle>1000 grain weight> spikelets> ear length> plant height. In the F2 generation, degenerate spikelets and panicle weight per plant could be selected; and the relationship between various agronomic traits of F2 had significant or significant difference, In F2, selecting one trait in F2 plant could also select other traits referencing relationshipt.The order of other agronomic characters affected single plant weight was: spike, plant height, spikelets, grain weight, ear length and number of spikelets degradation; With other traits being as a reference sequence, the single plant weight had hight related degree with number of spike,number of spikelets degradation and plant height.2.Quality traits had abundant variations in F2 generation of Yumai 66 X Yannong 19. Quality variation coefficient in descending order was amylose content> dough stability time> sedimentation value> dough development time> protein dry content> wet gluten content> hardness index> flour yield> water absorption> bulk density; in F2 Generation, amylose content, dough stability time, sedimentation value, dough development time protein content of the dry could be selected, but selecting flour yield, water absorption, bulk density and other traits was not meaningful.3. The most correlation between yield traits,nutritional quality traits and processing quality traits was negative in F2 of Yumai66 and Yannong 19. And there were signifficent difference between yield traits, agronomic traits, nutritional quality traits and processing quality traits.Further canonical correlation analysis,the results showed that the yield-agronomic yield-nutritional quality, yield-processing quality, agronomy-nutritional quality, agronomy-processing quality, nutritional quality processing quality traits between reached significant level, trait groups between had closely relationship.4.In F2 generation of Yumai 66×Yannong 19,the quality classification was 2.1806 percent reached strang gluten standard,8.3074 percent reached middle strang gluten standard,15.6801 percent reached middle gluten standard,and 73.8317 pecent reached weak gluten standard.5. Analysis of GMP content and HMW-GS component variation of F2 seeds of Yu mai 66 X Yannongl9, the results showed that GMP content had huge difference, It was possible to choose the large conten of GMP.The corrlation was different between GMP content and other traits, the correlation coefficient between GMP content and density was maximum, they had a significant positive correlation; There was significantly positive correlation between GMP content and stable time, development time, settlement value, amylose value too. In F2 attention to the selection of high-density grain plant could easily select hight GMP content material, settling time, development time, the settlement value, amylose had also valuable reference to select high GMP content material.6. The ratio of four types of subnits in F2 generation of Yumai 66 X Yannongl9. HMW-GS was 42:6:8:44.
Keywords/Search Tags:Wheat, F2, Agronomic traits, Quality traits, Variation analysis, HMW-GS
PDF Full Text Request
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