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Full-Text Articles in Life Sciences
South Dakota State University : Research Fall 2019, South Dakota State University
South Dakota State University : Research Fall 2019, South Dakota State University
Research: South Dakota State University
[Page] 2 Curcumin formulation on its way to health product market
[Page] 4 Flexibility key to forging research partnership with Kodo Kids
[Page] 6 Researcher examines hope among children in Flint, Michigan
[Page] 7 Plant pathologist battles stem canker
[Page] 8 Removing ‘Typhoid Marys’ restores health of Custer bighorn sheep herd
[Page] 10 Breeder, food scientist help improve quality of oats, increase local production
[Page] 13 SDSU, community leaders explore new ways to drive research, partnerships
[Page] 14 SDSU, community leaders explore new ways to drive research, partnerships
[Page] 16 Engineering builds business connections through Research Park
[Page] 17 Research …
A Seed Dormancy Gene-Mediated Biotechnology To Mitigate Transgene Flow Into Weedy Rice, Luai Nahar Muhammad
A Seed Dormancy Gene-Mediated Biotechnology To Mitigate Transgene Flow Into Weedy Rice, Luai Nahar Muhammad
Electronic Theses and Dissertations
Transgene flows into wild/weedy relatives may cause ecological and economic problems. Seed dormancy is an adaptive trait that distributes germination over time and promotes persistence of weeds in agroecosystems. Silencing natural genes controlling seed dormancy (SD) could promote germination and reduce weed adaptability. The goal of this project was to develop a transgenic mitigation (TM) technology by linking to a primary transgene with an SD gene-silencing structure, as a tandem construct for transformation, to reduce the risk of gene flow into weed populations. In this research, the Bar (Bialaphos) gene for resistance to the glufosinate herbicide was used as a …
Development Of Enhanced Weed Detection System With Adaptive Thresholding, K-Means And Support Vector Machine, Dheeman Saha
Development Of Enhanced Weed Detection System With Adaptive Thresholding, K-Means And Support Vector Machine, Dheeman Saha
Electronic Theses and Dissertations
This paper proposes a sophisticated classification process to segment the leaves of carrots from weeds (mostly Chamomile). In the early stages, of the plants’ development, both weeds and carrot leaves are intermixed with each other and have similar color texture. This makes it difficult to identify without the help of the domain experts. Therefore, it is essential to remove the weed regions so that the carrot plants can grow without any interruptions. The process of identifying the weeds become more challenging when both plant and weed regions overlap (inter-leaves). The proposed system addresses this problem by creating a sophisticated means …