Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight-related traits in winter wheat.

Autor: Thapa S; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA., Gill HS; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA., Halder J; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA., Rana A; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA., Ali S; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA., Maimaitijiang M; Department of Geography & Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, South Dakota, USA., Gill U; Department of Plant Pathology, North Dakota State University, Fargo, North Dakota, USA., Bernardo A; USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, Kansas, USA., St Amand P; USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, Kansas, USA., Bai G; USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, Kansas, USA., Sehgal SK; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA.

Publikováno v: The plant genome [Plant Genome] 2024 Sep; Vol. 17 (3), pp. e20470. Date of Electronic Publication: 2024 Jun 09.

Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning.

Autor: Kaushal S; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States., Gill HS; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States., Billah MM; Department of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, United States., Khan SN; Department of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, United States., Halder J; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States., Bernardo A; Hard Winter Wheat Genetics Research Unit, USDA-ARS, Manhattan, KS, United States., Amand PS; Hard Winter Wheat Genetics Research Unit, USDA-ARS, Manhattan, KS, United States., Bai G; Hard Winter Wheat Genetics Research Unit, USDA-ARS, Manhattan, KS, United States., Glover K; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States., Maimaitijiang M; Department of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, United States., Sehgal SK; Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, United States.

Publikováno v: Frontiers in plant science [Front Plant Sci] 2024 May 30; Vol. 15, pp. 1410249. Date of Electronic Publication: 2024 May 30 (Print Publication: 2024).

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Targeted degradation of naphthalene by peroxymonosulfate activation using molecularly imprinted biochar.

Autor: You X; Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China., Dai C; Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China. Electronic address: daichaomeng@tongji.edu.cn., Wang Z; Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China., Duan Y; School of Environmental and Geographical Sciences, Shanghai Normal University, No. 100 Guilin Road, Shanghai, 200234, China. Electronic address: duanyanping@shnu.edu.cn., Zhang JB; Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China., Lai X; Department of Management and Economics, Tianjin University, Tianjin, 300072, China., Hu J; Shanghai Key Laboratory of Bio-Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China., Li J; Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China., Maimaitijiang M; Xinjiang Water Conservancy Science and Technology Extension Station, Urumqi, 830000, China., Zhang Y; State Key Laboratory of Pollution Control and Resources Reuse, Tongji University, Shanghai, 200092, China., Liu S; Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China., Fu R; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.

Publikováno v: Chemosphere [Chemosphere] 2023 Dec; Vol. 345, pp. 140491. Date of Electronic Publication: 2023 Oct 18.

UAV/SATELLITE MULTISCALE DATA FUSION FOR CROP MONITORING AND EARLY STRESS DETECTION.

Autor: Sagan, V., Maimaitijiang, M., Sidike, P., Maimaitiyiming, M., Erkbol, H., Hartling, S., Peterson, K. T., Peterson, J., Burken, J., Fritschi, F.

Publikováno v: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 6/10/2019, Vol. XLII-2/W13, p715-722, 8p