Đang chuẩn bị liên kết để tải về tài liệu:
Genomic prediction using DArT-Seq technology for yellowtail kingfish Seriola lalandi

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

The gBLUP method was used due to its computational efficiency and it showed similar predictive performance to other approaches, especially for traits whose variation is of polygenic nature, such as body traits analysed in this study. The accuracy or predictive ability of the gBLUP model was estimated for three growth traits: body weight, folk length and condition index. |

TÀI LIỆU LIÊN QUAN

Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle

Genomic prediction using DArT-Seq technology for yellowtail kingfish Seriola lalandi

Increased prediction accuracy using a genomic feature model including prior information on quantitative trait locus regions in purebred Danish Duroc pigs

Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis

QTL-mapping and genomic prediction for bovine respiratory disease in U.S. Holsteins using sequence imputation and feature selection

Multi-population genomic prediction using a multi-task Bayesian learning model

Multi-allelic haplotype model based on genetic partition for genomic prediction and variance component estimation using SNP markers

Using selection index theory to estimate consistency of multi-locus linkage disequilibrium across populations

Genomic prediction in early selection stages using multi-year data in a hybrid rye breeding program

Alternative methods improve the accuracy of genomic prediction using information from a causal point mutation in a dairy sheep model
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.