Publications at this Location

ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location.

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2026 | 2025 | 2024 | 2023 |

2026 Publications (listed by order of acceptance date)

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Displaying 1 to 11 of 11 Records

	Unifying perspectives: Plant volatiles shape insect behaviors, communities, and ecosystem services for sustainable agriculture (Review Article)	(9-Jul-26)
	Reprogramming of the sugar beet transcriptome during Cercospora beticola infection: Insights from a time-course RNA-Seq analysis (Peer Reviewed Journal)	(8-Jul-26)
	Use of Beauveria bassiana mycoinsecticides against spotted lanternfly (Lycorma delicatula) adults, nymphs, and eggs in semi-natural environments (Peer Reviewed Journal)	(30-Jun-26)
	CRISPR/Cas9-based gene-editing platform development by targeting genes encoding magnesium chelatase and phytoene desaturase in sugarbeet (Beta vulgaris L.) (Peer Reviewed Journal)	(26-Jun-26)
	High natural variation of BvCR4 homologs in sea beet contrasts with narrow genetic base of sugar beet: Implications for Cercospora beticola resistance (Peer Reviewed Journal)	(16-Jun-26)
	Spanioneura fonscolombii (Forster) (Hemiptera: Psyllidae) rediscovered on boxwood (Buxus sempervirens L.) in Maryland (Peer Reviewed Journal)	(11-May-26)
	Whole genome sequencing to decrypt the population structure and host-driven adaptation of Cercospora beticola in Germany (Peer Reviewed Journal)	(8-May-26)
	Dataset of the changes in sugarbeet taproot cell wall composition, firmness, and cell wall-related gene expression as a function of postharvest storage time and temperature (Peer Reviewed Journal)	(9-Apr-26)
	Genetic variations and epistatic interactions for agronomic and yield traits in winter wheat population derived from ‘TAM 204’ and ‘Iba’ cultivars (Peer Reviewed Journal)	(1-Apr-26)
	Evaluation of sugar beet breeding lines for resistance to Rhizoctonia crown and root rot in northwest Minnesota, 2025 (Peer Reviewed Journal)	(16-Feb-26)
	A comparative study of U-Net and YOLOv11 for weed segmentation (Peer Reviewed Journal)	(3-Feb-26)