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Items: 1 to 20 of 24

1.

Genetic Control and Geo-Climate Adaptation of Pod Dehiscence Provide Novel Insights into Soybean Domestication.

Zhang J, Singh AK.

G3 (Bethesda). 2019 Dec 13. pii: g3.400876.2019. doi: 10.1534/g3.119.400876. [Epub ahead of print]

2.

Glycerol-3-phosphate mediates rhizobia-induced systemic signaling in soybean.

Shine MB, Gao QM, Chowda-Reddy RV, Singh AK, Kachroo P, Kachroo A.

Nat Commun. 2019 Nov 22;10(1):5303. doi: 10.1038/s41467-019-13318-8.

3.

Machine Learning Approach for Prescriptive Plant Breeding.

Parmley KA, Higgins RH, Ganapathysubramanian B, Sarkar S, Singh AK.

Sci Rep. 2019 Nov 20;9(1):17132. doi: 10.1038/s41598-019-53451-4.

4.

Plant disease identification using explainable 3D deep learning on hyperspectral images.

Nagasubramanian K, Jones S, Singh AK, Sarkar S, Singh A, Ganapathysubramanian B.

Plant Methods. 2019 Aug 21;15:98. doi: 10.1186/s13007-019-0479-8. eCollection 2019.

5.

Identification and Genetic Characterization of Soybean Accessions Exhibiting Antibiosis and Antixenosis Resistance to Aphis glycines (Hemiptera: Aphididae).

Natukunda MI, Parmley KA, Hohenstein JD, Assefa T, Zhang J, MacIntosh GC, Singh AK.

J Econ Entomol. 2019 May 22;112(3):1428-1438. doi: 10.1093/jee/toz017.

PMID:
30768167
6.

Haplotype Loci Under Selection in Canadian Durum Wheat Germplasm Over 60 Years of Breeding: Association With Grain Yield, Quality Traits, Protein Loss, and Plant Height.

N'Diaye A, Haile JK, Nilsen KT, Walkowiak S, Ruan Y, Singh AK, Clarke FR, Clarke JM, Pozniak CJ.

Front Plant Sci. 2018 Nov 5;9:1589. doi: 10.3389/fpls.2018.01589. eCollection 2018.

7.

High density genetic mapping of Fusarium head blight resistance QTL in tetraploid wheat.

Sari E, Berraies S, Knox RE, Singh AK, Ruan Y, Cuthbert RD, Pozniak CJ, Henriquez MA, Kumar S, Burt AJ, N'Diaye A, Konkin DJ, Cabral AL, Campbell HL, Wiebe K, Condie J, Lokuruge P, Meyer B, Fedak G, Clarke FR, Clarke JM, Somers DJ, Fobert PR.

PLoS One. 2018 Oct 11;13(10):e0204362. doi: 10.1371/journal.pone.0204362. eCollection 2018.

8.

Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems.

Nagasubramanian K, Jones S, Sarkar S, Singh AK, Singh A, Ganapathysubramanian B.

Plant Methods. 2018 Oct 3;14:86. doi: 10.1186/s13007-018-0349-9. eCollection 2018.

9.

Multi-objective optimized genomic breeding strategies for sustainable food improvement.

Akdemir D, Beavis W, Fritsche-Neto R, Singh AK, Isidro-Sánchez J.

Heredity (Edinb). 2019 May;122(5):672-683. doi: 10.1038/s41437-018-0147-1. Epub 2018 Sep 27.

10.

A deep learning framework to discern and count microscopic nematode eggs.

Akintayo A, Tylka GL, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S.

Sci Rep. 2018 Jun 14;8(1):9145. doi: 10.1038/s41598-018-27272-w.

11.

An explainable deep machine vision framework for plant stress phenotyping.

Ghosal S, Blystone D, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S.

Proc Natl Acad Sci U S A. 2018 May 1;115(18):4613-4618. doi: 10.1073/pnas.1716999115. Epub 2018 Apr 16.

12.

Abundance of the arbuscular mycorrhizal fungal taxa associated with the roots and rhizosphere soil of different durum wheat cultivars in the Canadian prairies.

Ellouze W, Hamel C, Singh AK, Mishra V, DePauw RM, Knox RE.

Can J Microbiol. 2018 Aug;64(8):527-536. doi: 10.1139/cjm-2017-0637. Epub 2018 Apr 10.

PMID:
29633625
13.

High-density genetic mapping of a major QTL for resistance to multiple races of loose smut in a tetraploid wheat cross.

Kumar S, Knox RE, Singh AK, DePauw RM, Campbell HL, Isidro-Sanchez J, Clarke FR, Pozniak CJ, N'Daye A, Meyer B, Sharpe A, Ruan Y, Cuthbert RD, Somers D, Fedak G.

PLoS One. 2018 Feb 27;13(2):e0192261. doi: 10.1371/journal.pone.0192261. eCollection 2018.

14.

Genetic Architecture of Charcoal Rot (Macrophomina phaseolina) Resistance in Soybean Revealed Using a Diverse Panel.

Coser SM, Chowda Reddy RV, Zhang J, Mueller DS, Mengistu A, Wise KA, Allen TW, Singh A, Singh AK.

Front Plant Sci. 2017 Sep 21;8:1626. doi: 10.3389/fpls.2017.01626. eCollection 2017.

15.

Quantitative trait loci for resistance to stripe rust of wheat revealed using global field nurseries and opportunities for stacking resistance genes.

Bokore FE, Cuthbert RD, Knox RE, Randhawa HS, Hiebert CW, DePauw RM, Singh AK, Singh A, Sharpe AG, N'Diaye A, Pozniak CJ, McCartney C, Ruan Y, Berraies S, Meyer B, Munro C, Hay A, Ammar K, Huerta-Espino J, Bhavani S.

Theor Appl Genet. 2017 Dec;130(12):2617-2635. doi: 10.1007/s00122-017-2980-7. Epub 2017 Sep 14.

PMID:
28913655
16.

Main and epistatic loci studies in soybean for Sclerotinia sclerotiorum resistance reveal multiple modes of resistance in multi-environments.

Moellers TC, Singh A, Zhang J, Brungardt J, Kabbage M, Mueller DS, Grau CR, Ranjan A, Smith DL, Chowda-Reddy RV, Singh AK.

Sci Rep. 2017 Jun 15;7(1):3554. doi: 10.1038/s41598-017-03695-9.

17.

Leveraging genomic prediction to scan germplasm collection for crop improvement.

de Azevedo Peixoto L, Moellers TC, Zhang J, Lorenz AJ, Bhering LL, Beavis WD, Singh AK.

PLoS One. 2017 Jun 9;12(6):e0179191. doi: 10.1371/journal.pone.0179191. eCollection 2017.

18.

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean.

Naik HS, Zhang J, Lofquist A, Assefa T, Sarkar S, Ackerman D, Singh A, Singh AK, Ganapathysubramanian B.

Plant Methods. 2017 Apr 8;13:23. doi: 10.1186/s13007-017-0173-7. eCollection 2017.

19.

Computer vision and machine learning for robust phenotyping in genome-wide studies.

Zhang J, Naik HS, Assefa T, Sarkar S, Reddy RV, Singh A, Ganapathysubramanian B, Singh AK.

Sci Rep. 2017 Mar 8;7:44048. doi: 10.1038/srep44048.

20.

Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity.

Jubery TZ, Shook J, Parmley K, Zhang J, Naik HS, Higgins R, Sarkar S, Singh A, Singh AK, Ganapathysubramanian B.

Front Plant Sci. 2017 Jan 19;7:2066. doi: 10.3389/fpls.2016.02066. eCollection 2016.

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