Archontoulis S - Search Results

1

How efficiently do corn- and soybean-based cropping systems use water? A systems modeling analysis.

Dietzel R, Liebman M, Ewing R, Helmers M, Horton R, Jarchow M, Archontoulis S. Dietzel R, et al. Among authors: archontoulis s. Glob Chang Biol. 2016 Feb;22(2):666-81. doi: 10.1111/gcb.13101. Epub 2015 Nov 20. Glob Chang Biol. 2016. PMID: 26391215

2

Modeling Long-Term Corn Yield Response to Nitrogen Rate and Crop Rotation.

Puntel LA, Sawyer JE, Barker DW, Dietzel R, Poffenbarger H, Castellano MJ, Moore KJ, Thorburn P, Archontoulis SV. Puntel LA, et al. Front Plant Sci. 2016 Nov 11;7:1630. doi: 10.3389/fpls.2016.01630. eCollection 2016. Front Plant Sci. 2016. PMID: 27891133 Free PMC article.

3

The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO₂.

Jin Z, Zhuang Q, Wang J, Archontoulis SV, Zobel Z, Kotamarthi VR. Jin Z, et al. Glob Chang Biol. 2017 Jul;23(7):2687-2704. doi: 10.1111/gcb.13617. Epub 2017 Jan 25. Glob Chang Biol. 2017. PMID: 28063186

4

Extreme weather-year sequences have nonadditive effects on environmental nitrogen losses.

Iqbal J, Necpalova M, Archontoulis SV, Anex RP, Bourguignon M, Herzmann D, Mitchell DC, Sawyer JE, Zhu Q, Castellano MJ. Iqbal J, et al. Glob Chang Biol. 2018 Jan;24(1):e303-e317. doi: 10.1111/gcb.13866. Epub 2017 Sep 21. Glob Chang Biol. 2018. PMID: 28805279

5

A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate.

Puntel LA, Sawyer JE, Barker DW, Thorburn PJ, Castellano MJ, Moore KJ, VanLoocke A, Heaton EA, Archontoulis SV. Puntel LA, et al. Front Plant Sci. 2018 Apr 13;9:436. doi: 10.3389/fpls.2018.00436. eCollection 2018. Front Plant Sci. 2018. PMID: 29706974 Free PMC article.

6

Dissecting the nonlinear response of maize yield to high temperature stress with model-data integration.

Zhu P, Zhuang Q, Archontoulis SV, Bernacchi C, Müller C. Zhu P, et al. Glob Chang Biol. 2019 Jul;25(7):2470-2484. doi: 10.1111/gcb.14632. Epub 2019 May 6. Glob Chang Biol. 2019. PMID: 30929302

7

Evaluating maize and soybean grain dry-down in the field with predictive algorithms and genotype-by-environment analysis.

Martinez-Feria RA, Licht MA, Ordóñez RA, Hatfield JL, Coulter JA, Archontoulis SV. Martinez-Feria RA, et al. Sci Rep. 2019 May 9;9(1):7167. doi: 10.1038/s41598-019-43653-1. Sci Rep. 2019. PMID: 31073235 Free PMC article.

8

Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt.

Shahhosseini M, Hu G, Huber I, Archontoulis SV. Shahhosseini M, et al. Sci Rep. 2021 Jan 15;11(1):1606. doi: 10.1038/s41598-020-80820-1. Sci Rep. 2021. PMID: 33452349 Free PMC article.

9

Assessing Variation in US Soybean Seed Composition (Protein and Oil).

Assefa Y, Purcell LC, Salmeron M, Naeve S, Casteel SN, Kovács P, Archontoulis S, Licht M, Below F, Kandel H, Lindsey LE, Gaska J, Conley S, Shapiro C, Orlowski JM, Golden BR, Kaur G, Singh M, Thelen K, Laurenz R, Davidson D, Ciampitti IA. Assefa Y, et al. Among authors: archontoulis s. Front Plant Sci. 2019 Mar 11;10:298. doi: 10.3389/fpls.2019.00298. eCollection 2019. Front Plant Sci. 2019. PMID: 30915097 Free PMC article.

10

Modeling Flood-Induced Stress in Soybeans.

Pasley HR, Huber I, Castellano MJ, Archontoulis SV. Pasley HR, et al. Front Plant Sci. 2020 Feb 12;11:62. doi: 10.3389/fpls.2020.00062. eCollection 2020. Front Plant Sci. 2020. PMID: 32117398 Free PMC article.

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