Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Forever Green Agriculture Initiative (Aug 2022 - June 2025)
Hunter, M., Anderson, J. A., Bajgain, P., Braun, L. C., Hu, B., Smith, K. P., Stupar, R. M. & Wyse, D. L.
MN DEPARTMENT OF AGRICULTURE, LEGISLATIVE-CITIZEN COMMISSION ON MN RES
4/1/23 → 6/30/25
Project: Research project
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Breeding Silflower for Perennial Cropping Systems
Smith, K. P. & Brandvain, Y. J.
1/1/23 → 6/30/26
Project: Research project
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Enhancing winter survival and forage yield in alfalfa
USDA AGRICULTURAL RESEARCH SERVICE
9/1/22 → 8/31/25
Project: Research project
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Genetic Enhancement of Fusarium Head Blight (FHB) Resistance in Barley
Steffenson, B. J. & Smith, K. P.
USDA AGRICULTURAL RESEARCH SERVICE
5/1/22 → 4/30/24
Project: Research project
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Breeding FHB resistant spring and winter barley
USDA AGRICULTURAL RESEARCH SERVICE
5/1/22 → 4/30/26
Project: Research project
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Genomic prediction of threshability in naked barley
Massman, C., Meints, B., Hernandez, J., Kunze, K., Smith, K. P., Sorrells, M. E., Hayes, P. M. & Gutierrez, L., Mar 1 2023, In: Crop Science. 63, 2, p. 674-689 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Meta-analysis of the genetics of resistance to Fusarium head blight and deoxynivalenol accumulation in barley and considerations for breeding
Sallam, A. H., Haas, M., Huang, Y., Tandukar, Z., Muehlbauer, G., Smith, K. P. & Steffenson, B. J., 2023, (Accepted/In press) In: Plant Breeding.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-scale modelling predicts plant stem bending behaviour in response to wind to inform lodging resistance
Gangwar, T., Susko, A. Q., Baranova, S., Guala, M., Smith, K. P. & Jo Heuschele, D., Jan 4 2023, In: Royal Society Open Science. 10, 1, 221410.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Sources of Bacterial Leaf Streak Resistance Identified in a Diverse Collection of Barley Germplasm
Ritzinger, M. G., Smith, K. P., Case, A. J., Wodarek, J. R., Dill-Macky, R., Curland, R. D. & Steffenson, B. J., Mar 2023, In: Plant disease. 107, 3, p. 802-808 7 p.Research output: Contribution to journal › Article › peer-review
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Accurate predictions of barley phenotypes using genomewide markers and environmental covariates
Neyhart, J., Silverstein, K. A. T. & Smith, K. P., Sep 1 2022, In: Crop Science. 62, 5, p. 1821-1833 13 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
Datasets
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Data and analysis code for "Capturing High Resolution Plant Movement in the Field"
Heuschele, J. D., Furuta, D. C., Smith, K. P. & Marchetto, P. M., Data Repository for the University of Minnesota, Feb 7 2022
https://hdl.handle.net/11299/226273
Dataset
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Supporting data for The Fate of Deleterious Variants in a Barley Genomic Prediction Population
Vonderharr, E., Morrell, P. L., Smith, K. P., Kono, T., Fay, J. C. & Koenig, D., Data Repository for the University of Minnesota, 2018
DOI: 10.13020/d6w990, http://hdl.handle.net/11299/208553
Dataset
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Phenotypic and genotypic data of barley Gen10 population to study a pericentromeric region on chromosome 6H
Yin, L., Huang, Y., Sallam, A. H., Heinen, S. J., Li, L., Beaubien, K. A., Dill-Macky, R., Dong, Y., Steffenson, B. J., Smith, K. P. & Muehlbauer, G. J., Data Repository for the University of Minnesota, Jun 1 2021
https://hdl.handle.net/11299/220291
Dataset
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SNP Genotyping Data for the Barley Population in "Registration of the S2MET Barley Mapping Population for Multi-Environment Genomewide Selection"
Neyhart, J. & Smith, K. P., Data Repository for the University of Minnesota, 2019
DOI: 10.13020/cp4r-0v95, http://hdl.handle.net/11299/204785
Dataset
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SNP Genotyping Data from the Barley Experimental Population from "Two Genomic Regions Contribute Disproportionately to Geographic Differentiation in Wild Barley"
Clegg, M. T., Fang, Z., Poets, A. M., Morrell, P. L., Muehlbauer, G. J., Smith, K. P. & Steffenson, B. J., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D6B59N, http://doi.org/10.13020/D6B59N
Dataset