Đang chuẩn bị liên kết để tải về tài liệu:
Association mapping for important agronomic traits in core collection of rice (Oryza sativa L.) with SSR markers

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

Mining elite genes within rice landraces is of importance for the improvement of cultivated rice. An association mapping for12 agronomic traits was carried out using a core collection of rice consisting of 100 landraces (Panel 1) with 44 simple sequence repeat (SSR) markers. Our results showed that (1) 76significant (P, 0.05) trait-marker associations were detected using mixed linear model (MLM) within Panel 1 in two years, among which 32% were identical with previously mapped QTLs, and 11 significant associations had.10% explained ratio of genetic variation; (2) A total of seven aforementioned trait-marker associations were verified within Panel 2 and 3 when using a general linear model (GLM) and 55 SSR markers of the 76 significant trait-marker associations. | Association mapping for important agronomic traits in core collection of rice Oryza sativa L. with SSR markers

TÀI LIỆU LIÊN QUAN

Association mapping in crops plants

A combined linkage and regional association mapping validation and fine mapping of two major pleiotropic QTLs for seed weight and silique length in rapeseed (Brassica napus L.)

Genome-wide association mapping of iron homeostasis in the maize association population

Genome-wide association of barley plant growth under drought stress using a nested association mapping population

Identification of a SiCL1 gene controlling leaf curling and capsule indehiscence in sesame via cross-population association mapping and genomic variants screening

Comparison of statistical models for nested association mapping in rapeseed (Brassica napus L.) through computer simulations

Genome-wide association mapping for root traits in a panel of rice accessions from Vietnam

Seedling development traits in Brassica napus examined by gene expression analysis and association mapping

Population structure and genetic diversity characterization of a sunflower association mapping population using SSR and SNP markers

Application of correlation analysis in conventional plant breeding and genome wide association mapping
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.