Agri 2022

Linkage disequilibrium analysis study reveals the genetic architecture of flowering time Indian mustard (Brassica juncea L.)

Vanya Bawa

Vanya Bawa, Speaker at Agricultural Conferences 2022
Central University of Jammu, India
Title : Linkage disequilibrium analysis study reveals the genetic architecture of flowering time Indian mustard (Brassica juncea L.)

Abstract:

Flowering Plants are evolved to have sophisticated systems to acclimatise to local conditions, domestication and natural or artificial selection. The selective pressures of these different growing conditions have caused significant genomic divergence within species. This crucial factor plays major role to maintain the sustainable development. Triggering the flowering at appropriate times can also prevent plants from suffering from adverse growth conditions, such as disease escape, drought, and winter hardness. Hence, discovering the genome-wide genetic mechanisms that influence flowering time variations and understanding their contributions to adaptation at this vital phenological stage is important topic of interest. In present study a core collection with 64 Brassica juncea lines was first planted in two year trials independent environments, and their flowering time traits were Phenotyped. A genome-wide association mapping of flowering times with 82 SSRs for core set was done.. The information of population structure matrix and trait phenotypic data on flowering time were together used in software TASSEL and significant MTAs were identified. In total, showed marker-trait associations two year trial. On the whole 26 QTLs were identified, only 1 QTL showed significant association with flowering time variations. To explore flowering time QTLs and genes related to growth habits in Indian mustard, selection signals related to divergent habits were screened at the genome-wide level. Based on this study, a number of marker-trait associations and candidate genes for flowering time variations in Indian mustard were revealed. These results will be applied to brassica breeding programs to assist in selection of best lines for their use in molecular breeding.

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