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Colored Corn: An Up-Date on Metabolites Extraction, Health Implication, and Potential Use
Colored Corn: An Up-Date on Metabolites Extraction, Health Implication, and Potential Use
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Colored Corn: An Up-Date on Metabolites Extraction, Health Implication, and Potential Use

Colombo, Raffaella ; Ferron, Lucia ; Papetti, Adele

Molecules (Basel, Switzerland), 2021-01, Vol.26 (1), p.199 [Periódico revisado por pares]

Switzerland: MDPI AG

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2
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
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Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

Ma, Yuchi ; Zhang, Zhou ; Kang, Yanghui ; Özdoğan, Mutlu

Remote sensing of environment, 2021-06, Vol.259, p.112408, Article 112408 [Periódico revisado por pares]

New York: Elsevier Inc

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3
Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels
Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels
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Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels

Li, Hui ; Peng, Zhiyu ; Yang, Xiaohong ; Wang, Weidong ; Fu, Junjie ; Wang, Jianhua ; Han, Yingjia ; Chai, Yuchao ; Guo, Tingting ; Yang, Ning ; Liu, Jie ; Warburton, Marilyn L ; Cheng, Yanbing ; Hao, Xiaomin ; Zhang, Pan ; Zhao, Jinyang ; Liu, Yunjun ; Wang, Guoying ; Li, Jiansheng ; Yan, Jianbing

Nature genetics, 2013-01, Vol.45 (1), p.43-50 [Periódico revisado por pares]

United States: Nature Publishing Group

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4
Increasing rye cover crop biomass production after corn residue removal to balance economics and soil health
Increasing rye cover crop biomass production after corn residue removal to balance economics and soil health
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Increasing rye cover crop biomass production after corn residue removal to balance economics and soil health

Ruis, Sabrina J. ; Blanco-Canqui, Humberto ; Jasa, Paul J. ; Slater, Glen ; Ferguson, Richard B.

Field crops research, 2023-10, Vol.302, p.109076, Article 109076 [Periódico revisado por pares]

Elsevier B.V

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5
A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt
A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt
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A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt

Kimm, Hyungsuk ; Guan, Kaiyu ; Jiang, Chongya ; Miao, Guofang ; Wu, Genghong ; Suyker, Andrew E ; Ainsworth, Elizabeth A ; Bernacchi, Carl J ; Montes, Christopher M ; Berry, Joseph A ; Yang, Xi ; Frankenberg, Christian ; Chen, Min ; Köhler, Philipp

Environmental research letters, 2021-12, Vol.16 (12), p.124051 [Periódico revisado por pares]

Bristol: IOP Publishing

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6
Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Cardiovascular Risk: The STRENGTH Randomized Clinical Trial
Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Cardiovascular Risk: The STRENGTH Randomized Clinical Trial
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Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Cardiovascular Risk: The STRENGTH Randomized Clinical Trial

Nicholls, Stephen J ; Lincoff, A. Michael ; Garcia, Michelle ; Bash, Dianna ; Ballantyne, Christie M ; Barter, Philip J ; Davidson, Michael H ; Kastelein, John J. P ; Koenig, Wolfgang ; McGuire, Darren K ; Mozaffarian, Dariush ; Ridker, Paul M ; Ray, Kausik K ; Katona, Brian G ; Himmelmann, Anders ; Loss, Larrye E ; Rensfeldt, Martin ; Lundström, Torbjörn ; Agrawal, Rahul ; Menon, Venu ; Wolski, Kathy ; Nissen, Steven E

JAMA : the journal of the American Medical Association, 2020-12, Vol.324 (22), p.2268-2280 [Periódico revisado por pares]

United States: American Medical Association

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7
Front‐end corn germ separation: Process variations and effects on downstream products recovery and quality
Front‐end corn germ separation: Process variations and effects on downstream products recovery and quality
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Front‐end corn germ separation: Process variations and effects on downstream products recovery and quality

Mohammadi Shad, Zeinab ; Venkitasamy, Chandrasekar ; Lamsal, Buddhi

Cereal chemistry, 2021-03, Vol.98 (2), p.189-211 [Periódico revisado por pares]

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8
Towards a Valorization of Corn Bioethanol Side Streams: Chemical Characterization of Post Fermentation Corn Oil and Thin Stillage
Towards a Valorization of Corn Bioethanol Side Streams: Chemical Characterization of Post Fermentation Corn Oil and Thin Stillage
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Towards a Valorization of Corn Bioethanol Side Streams: Chemical Characterization of Post Fermentation Corn Oil and Thin Stillage

Di Lena, Gabriella ; Ondrejíčková, Petra ; Pulgar, Josè Sanchez Del ; Cyprichová, Veronika ; Ježovič, Tomáš ; Lucarini, Massimo ; Lombardi Boccia, Ginevra ; Ferrari Nicoli, Stefano ; Gabrielli, Paolo ; Aguzzi, Altero ; Casini, Irene ; Caproni, Roberto

Molecules (Basel, Switzerland), 2020-08, Vol.25 (15), p.3549 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level
A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level
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A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

Jiang, Hao ; Hu, Hao ; Zhong, Renhai ; Xu, Jinfan ; Xu, Jialu ; Huang, Jingfeng ; Wang, Shaowen ; Ying, Yibin ; Lin, Tao

Global change biology, 2020-03, Vol.26 (3), p.1754-1766 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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10
Towards interpreting multi-temporal deep learning models in crop mapping
Towards interpreting multi-temporal deep learning models in crop mapping
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Towards interpreting multi-temporal deep learning models in crop mapping

Xu, Jinfan ; Yang, Jie ; Xiong, Xingguo ; Li, Haifeng ; Huang, Jingfeng ; Ting, K.C. ; Ying, Yibin ; Lin, Tao

Remote sensing of environment, 2021-10, Vol.264, p.112599, Article 112599 [Periódico revisado por pares]

New York: Elsevier Inc

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