| Corn is one of the most important grain crops in the word, also is the important feed and the raw material for industry. By using scientific and technological methods, researchers always do their best to improve yield and quality of maize. Single segment introgression lines (SSILs) was a permanent mapping population, which was developed using advance-backcross and marker-assisted selection, which is a novel materials for quantitative trait locus (QTL) genetic analysis. Comparing with the traditional population, there were more advantages in SSILs, such as:ⅰThere were knowable genetic background and steady genetic base in SSILs.ⅱThe accuracy and sensitivity of QTL.mapped and identified were improved usingSSILs.ⅲGenetic effects of QTL can be exactly analyzed and study on the interaction of QTL and environment or QTL were go along using SSILs.In this study, through 2～3 cycles self-cross we construct two single segment introgression lines (SSILs) using 87-1 and Zong3 (Z3) as the recurrent parent respectively, Hengbai 522 as donor parent. We evaluate the SSILs in genetic background, introgression segment length and some other aspects. The shortest segment in 87-1 background SSILs is 0.42cM and the longest one is 148cM. The average length is 58.87cM and the total is 1942.58cM. Recoverage rate is 26.12%. The shortest segment in Z3 background SSILs is 0.03cM and the longest one is 394cM. The average length is 92.9cM and the total is 5666.72cM. Recoverage rate is 76.14%.QTL of some agronomic traits were elementarily identified, which included plant height and ear height. It detected 3 of plant height, 4 of ear height in 87-1 SSILs; 6 of plant height, 3 of ear height in Z3 SSILs. The result will be help for fine mapping these QTL.The two SSILs could be used to identify and map QTL, to study inheritance of QTL and to pyramid of QTL, et al. Those also provided valuable materials for constructing sub-NILs to fine map and clone QTL.
|
PDF Full Text Request