Zhu, Shuang | Search NASA

DOE OSTI2019

Phenotypic and seed structural comparison in hybrids of different Brassica rapa and B. oleracea

Abstract Brassica napus is an important oil species with short history and narrow genetic background. Interspecific hybrids from crosses between B. oleracea and different B. rapa were obtained. We found the hybrids with white petal resembling B. oleracea , the flavonoid and phenolic content decreased in hybrids, agreeing with the expressional changes of flavonoid biosynthesis genes. Seed coat of hybrids resembled diploid parents, or partly resembled to each parent with a clear outline. The palisade layer in hybrids was thicker than parents, with similar pigment accumulation as B. oleracea but more than B. rapa . Differentially sized protein bodies (PBs) were found in hybrids. The radical and inner cotyledon of all hybrids were identified with larger but less PBs than parents. The average size of PBs in outer cotyledon of resynthesized B. napus was also larger than parents, but the number of PBs was not significantly reduced. The phenotypic and seed structural variations after polyploidization of B. napus would be interesting for genetic broadening and breeding of rapeseed.

Rong, Hao↗

DOE OSTI2014

Prior-knowledge-based spectral mixture analysis for impervious surface mapping

In this study, we developed a prior-knowledge-based spectral mixture analysis (PKSMA) to map impervious surfaces by using endmembers derived separately for high- and low-density urban regions. First, an urban area was categorized into high- and low-density urban areas, using a multi-step classification method. Next, in high-density urban areas that were assumed to have only vegetation and impervious surfaces (ISs), the Vegetation-Impervious model (V-I) was used in a spectral mixture analysis (SMA) with three endmembers: vegetation, high albedo, and low albedo. In low-density urban areas, the Vegetation-Impervious-Soil model (V-I-S) was used in an SMA analysis with four endmembers: high albedo, low albedo, soil, and vegetation. The fraction of IS with high and low albedo in each pixel was combined to produce the final IS map. The root mean-square error (RMSE) of the IS map produced using PKSMA was about 11.0%, compared to 14.52% using four-endmember SMA. Particularly in high-density urban areas, PKSMA (RMSE = 6.47%) showed better performance than four-endmember (15.91%). The results indicate that PKSMA can improve IS mapping compared to traditional SMA by using appropriately selected endmembers and is particularly strong in high-density urban areas.

Impervious surface↗