![]() ![]() ![]() Genotypic correlations between all environments were very high (∼0.60–0.96), with heritability for the blanchability trait estimated to be very high (0.74–0.97) across the 13 trials. Genotypic variance explained 62–100% of the total variance for blanchability, assessed in two diverse germplasm pools including 107 accessions in the USA mini-core over three environments and multiple APBP breeding lines grown over nine different years–environments. G×E interaction for blanchability was shown to be very low. S3 method for asreml predictPresent(asreml.obj, terms, inestimable.rm TRUE, ansformation NULL, error.intervals 'Confidence', alpha 0.05, wald.tab NULL, dDF.na 'residual', dDF.values NULL, pairwise TRUE, Vmatrix FALSE, avsed.tolerance 0.25, accuracy.threshold NA, LSDtype 'overall', LSDsupplied NULL, LSDby NULL, LSDstatistic 'mean', LSDaccuracy 'maxAbsDeviation', x.num NULL, x.fac NULL, NULL, x.pred.values NULL, x.plot.values. in seed produced from a single F 2 plant where seed supply is adequate). Use of a smaller kernel sample size than standard (50 vs 200 g) was effective for accurately assessing blanchability in breeding lines and could allow selection in early generations (e.g. Studies were conducted to develop a low-cost, rapid method utilising minimal amounts of seed to phenotype in early generations, along with an assessment of G×E interactions over a range of years and environments to derive optimal selection protocols. ![]() Data from the 2017 experiment was used for model training. Here, averaged reflectance spectra were used, and the data was mean-centered and scaled to unit variance prior to modeling. A better understanding of the range of genetic variation, nature of inheritance and genotype × environment (G×E) interactions, and the development of a low-cost method to phenotype in early generations, could speed up breeding for this trait. Predictions of senescence scorings obtained from full-spectrum models are plotted against the visual scorings (observed). Thus, blanchability is an economically important trait in any newly released cultivar in Australia. Easy removal of the testa by blanching is required for processing of peanuts into peanut butter and various other confectionary products. All RCT QTLs of the present study could be assigned to consensus clusters. Breeding for improved blanchability-the propensity of the testa (skin) to be removed from the kernel following rapid heat treatment-is a priority for improvement in the Australian Peanut Breeding Program (APBP). The RCT QTLs were included in a QTL meta-analysis of root-length traits (Hund et al., 2011), for which the data of 15 QTL studies were projected on a consensus map, which was based on the Neighbors Frame map. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |