Font Size: a A A

Agronomic Peformance And Genetic Variations Of Storage Proteins In Triticum Macha Dek. Et Men.

Posted on:2007-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:L J XiongFull Text:PDF
GTID:2133360185980349Subject:Crop Genetics and Breeding
Abstract/Summary:PDF Full Text Request
Triticum macha Dek. et Men. is cultivated species in hexaploid wheats (2n = 6x = 42, AABBDD) . T. macha is primary resources of common wheat. In this study, the analyses were on agronomic performance and storage proteins from different countries. The main results were described as following:1. In general, T. macha accessions had higher plant height, strong tillering ability, and more spikelets. Partial-correlation analysis indicated that the correlations between the tiller numbers and the spike numbers per plant, forming spike percent and the spike numbers per plant, 1000-grain weight and the spikelet number per spike were significant positive significant, respectively. These accessions had a extremely significant positive partial-correlation between grains weight per plant and spikelet numbers per spike, grains weight per spike, respectively. There was a positive partial-correlation between protein content and spike length. Principle compolent analysis showed the first five main component (grain weight, spikelet numbers per spike, forming spikelet percent, plant height, spike length) had the contrition of 90.32% to variation. By clustering analysis, all the materials were divided into four groups.2. High level of gliadin polymorphism was observed in29 T. macha from different countries by acid polyacrylamide gel electrophoresis (A-PAGE) method, and there were 28 gliadin patterns. Each accession had 19 to 34 bands, resulting in a total of 49 bands in 29 accessions. The coefficients of genetic similarity ranged from 0.29 to 0.95, with the average of 0.61. The 29 T. macha accessions could be classified into 3 clusters at the level of GS 0.58. The clustering analysis results suggested that...
Keywords/Search Tags:Triticum macha, agronomic traits, clustering analysis, Gliadin, A-PAGE, HMW-GS, SDS-PAGE
PDF Full Text Request
Related items