منابع مشابه
Genomic Prediction of Hybrid Combinations in the Early Stages of a Maize Hybrid
2 0 Prediction of single-cross hybrid performance has been a major goal of plant breeders since the 2 1 beginning of hybrid breeding. Genomic prediction has shown to be a promising approach, but 2 2 only limited studies have examined the accuracy of predicting single cross performance. Most of 2 3 the studies rather focused on predicting top cross performance using single tester to determine 2 ...
متن کاملMODEM: multi-omics data envelopment and mining in maize
MODEM is a comprehensive database of maize multidimensional omics data, including genomic, transcriptomic, metabolic and phenotypic information from the cellular to individual plant level. This initial release contains approximately 1.06 M high quality SNPs for 508 diverse inbred lines obtained by combining variations from RNA sequencing on whole kernels (15 days after pollination) of 368 lines...
متن کاملPrediction of maize hybrid performance using similarity in state and similarity by descent information.
We evaluated the efficiency of the best linear unbiased predictor (BLUP) and the influence of the use of similarity in state (SIS) and similarity by descent (SBD) in the prediction of untested maize hybrids. Nine inbred lines of maize were crossed using a randomized complete diallel method. These materials were genotyped with 48 microsatellite markers (SSR) associated with the QTL regions for g...
متن کاملGenomic Prediction of Single Crosses in the Early Stages of a Maize Hybrid Breeding Pipeline
Prediction of single-cross performance has been a major goal of plant breeders since the beginning of hybrid breeding. Recently, genomic prediction has shown to be a promising approach, but only limited studies have examined the accuracy of predicting single-cross performance. Moreover, no studies have examined the potential of predicting single crosses among random inbreds derived from a serie...
متن کاملPotential use of molecular markers for prediction of genotypic values in hybrid maize performance.
We evaluated the potential of genetic distances estimated by microsatellite markers for the prediction of the performance of single-cross maize hybrids. We also examined the potential of molecular markers for the prediction of genotypic values and the applicability of the Monte Carlo method for a correlation of genetic distances and grain yield. Ninety S(0:2) progenies derived from three single...
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ژورنال
عنوان ژورنال: Theoretical and Applied Genetics
سال: 2017
ISSN: 0040-5752,1432-2242
DOI: 10.1007/s00122-017-2934-0