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A 3D map of grain shapes and crystallographic orientations was produced in a miniature fatigue specimen using DCT.
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Spatial maps of grain yield, normalized difference vegetation index (NDVI), soil electrical resistivity tomography (ERT) were collected non-destructively.
Three-year average standardized yield maps of grain and straw showed productivity differences across these classes, but mainly linked to their landscape position.
This allows micrographs or maps of grain boundaries to be presented in a colorized form which, at a glance, reveals all of the misorientation information in an entire grain boundary network, as well as the connectivity among different boundary misorientations.
QTL mapping of grain length using the SNP bin map with the data obtained in 1998 by Tan et al [27] revealed that the most significant peak pointed the bin on chromosome 3 containing GS3 (∼197 kb) (Figure 4A, B).
Previously, only two association mapping studies are available solely focusing on mapping of grain weight QTLs [ 22, 31].
The spherical model was used for mean and median grain-size, sorting, and gravel fractions, the exponential model was used for the CV value, and the Gaussian model was used for skewness, kurtosis, and mud fractions Fig. 7 Contour maps of grain-size parameters interpolated by kriging over raster maps of the estimation variance.
The number of bin makers (a total of 2711) of the linkage map were increased significantly, compared to the previous study (1495 in total) using the RICE6K SNP array, which mapped QTLs of grain shape using a similar population (197 RILs derived from the cross between indica variety ZS97 and japonica variety XZ2) (Hu et al. 2013).
This map was then fed to a KMC model that determined the surface coverage of a grain as a function of grain temperature.
The selected HR individuals were grown, along with S42IL-143 and Scarlett as controls, in a second experiment under the same glasshouse conditions as stated above and phenotyped for threshability to enable fine-mapping of the grain threshability locus.
The high-density genetic map and yield-related QTLs in the current study solidified the basis for studying important agricultural traits, map-based cloning of grain yield-related genes and implementing MAS toward genetic improvement in sesame.
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