| Autor: |
Kaur, Sukhdeep, Das, Abhijit, Sheoran, Seema, Rakshit, Sujay |
| Zdroj: |
Tropical Plant Biology; Dec2023, Vol. 16 Issue 4, p225-243, 19p |
| Abstrakt: |
A large number of QTLs controlling important traits in different crops have been mapped but their deployment in the marker assisted selection (MAS) is highly limited. The possible reason is lack of availability of stable QTLs over diverse genetic background and environment. QTL meta-analysis provides an opportunity to compile QTLs from different studies and identify consistent QTLs across genetic background and environments. These meta-QTLs can be targeted for further fine mapping and used for MAS after validation. QTL meta-analysis involve library search for reported QTL studies for a particular trait in a crop and subsequently a consensus linkage map is constructed projecting QTLs from different studies using simple scaling rule. The Confidence Interval (CI) of QTL is estimated on the consensus map using the formula as CI (95): ¼ 530/(Nλ), where CI (95) is the confidence interval at 95 percent probability level, N is the size of mapping population and λ is the proportion of phenotypic variance explained by the concerned QTL. Finally, detected QTLs are projected for cluster analysis to determine the exact number and positions of true QTLs. The utility of this approach will help to detect the stable meta-QTLs that will be further helpful to identify candidate genes and their application in MAS program. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
Full text from SpringerLink