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An efficient Eggplant1.6K liquid SNP chip for genetic analysis and marker-assisted selection in eggplant
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作者 Duanhua Wang Wenqiu Lin +7 位作者 Qingzhen Wei Qian Li Shuanghua Wu Tianxin Chen Heng Nie Chonglai Bao Jianguo Yang Xi-ou Xiao 《Horticultural Plant Journal》 2026年第2期489-492,共4页
Eggplant(Solanum melongena L.)is a globally important vegetable crop,renowned for its nutritional value and economic significance.It is abundant in bioactive compounds such as anthocyanins and chlorogenic acid,which h... Eggplant(Solanum melongena L.)is a globally important vegetable crop,renowned for its nutritional value and economic significance.It is abundant in bioactive compounds such as anthocyanins and chlorogenic acid,which have been associated with multiple health-promoting properties(Azuma et al.,2008;Gurbuz et al.,2018).Given its significant hybrid vigor,F1 hybrid varieties are widely preferred in commercial cultivation(Mistry et al.,2018).However,traditional breeding practices predominantly rely on phenotypic selection,a process that is not only labor-intensive but also time-consuming. 展开更多
关键词 EGGPLANT phenotypic sel genetic analysis chlorogenic acidwhich bioactive compounds liquid SNP chip Solanum melongena breeding practices
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An integrated framework for the prediction of axial offset anomaly in pressurized water reactors
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作者 Zhiqiang Zhang Jinhe Wang +2 位作者 Shuixiong Lei Jianhua Qin Dingyi Pan 《International Journal of Fluid Engineering》 2025年第3期84-94,共11页
During the operation of pressurized water reactors,erosion products can be deposited on the surfaces of the fuel rods,and these deposits lead to enrichment of boric acid,which influences the power distribution along t... During the operation of pressurized water reactors,erosion products can be deposited on the surfaces of the fuel rods,and these deposits lead to enrichment of boric acid,which influences the power distribution along the axial direction and results in axial offset anomaly(AOA)/Chalk River unidentified deposit(CRUD)-induced power shift(CIPS).In this paper,a fully integrated CIPS risk prediction framework is proposed.The framework comprises three coupled modules:CRUD deposition prediction,boron concentration calculation,and neutron flux calculation.These modules are dynamically coupled through CRUD deposition distribution and boric acid concentration data,ensuring comprehensive and up-to-date predictions.To demonstrate the framework’s capabilities,we provide a case study involving a 500-day reactor operation.Our results indicate a maximum CRUD thickness approaching 40μm,primarily located in the upper half of the fuel rod.This deposition corresponds to a maximum boric acid concentration ratio exceeding 300,which significantly reduces heat flux in the affected region and precipitates a severe AOA/CIPS incident. 展开更多
关键词 boron concentration fuel rodsand crud deposition axial offset anomaly pressurized water reactorserosion products enrichment boric acidwhich coupled modules crud concentration cal
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