| Year |
Citation |
Score |
| 2019 |
Ali S, Francl LJ, De Wolf ED. First Report of Pyrenophora tritici-repentis Race 5 from North America. Plant Disease. 83: 591. PMID 30849852 DOI: 10.1094/Pdis.1999.83.6.591A |
0.684 |
|
| 2019 |
Ali S, Francl LJ, Iram S, Ahmad I. First Report of Tan Spot on Wheat in Pakistan. Plant Disease. 85: 1031. PMID 30823099 DOI: 10.1094/Pdis.2001.85.9.1031B |
0.517 |
|
| 2019 |
Ali S, Francl LJ. Recovery of Pyrenophora tritici-repentis from Barley and Reaction of 12 Cultivars to Five Races and Two Host-Specific Toxins. Plant Disease. 85: 580-584. PMID 30823021 DOI: 10.1094/Pdis.2001.85.6.580 |
0.484 |
|
| 2019 |
Ali S, Francl LJ. A New Race of Pyrenophora tritici-repentis from Brazil. Plant Disease. 86: 1050. PMID 30818542 DOI: 10.1094/Pdis.2002.86.9.1050C |
0.498 |
|
| 2004 |
Francl LJ. Squeezing the turnip with artificial neural nets. Phytopathology. 94: 1007-12. PMID 18943079 DOI: 10.1094/PHYTO.2004.94.9.1007 |
0.34 |
|
| 2003 |
Ali S, Francl LJ. Population Race Structure of Pyrenophora tritici-repentis Prevalent on Wheat and Noncereal Grasses in the Great Plains. Plant Disease. 87: 418-422. PMID 30831839 DOI: 10.1094/Pdis.2003.87.4.418 |
0.522 |
|
| 2003 |
Friesen TL, Ali S, Kianian S, Francl LJ, Rasmussen JB. Role of Host Sensitivity to Ptr ToxA in Development of Tan Spot of Wheat. Phytopathology. 93: 397-401. PMID 18944353 DOI: 10.1094/Phyto.2003.93.4.397 |
0.463 |
|
| 2003 |
Ali S, Francl LJ. Population race structure of Pyrenophora tritici-repentis prevalent on wheat and noncereal grasses in the great plains Plant Disease. 87: 418-422. |
0.331 |
|
| 2001 |
Martinez JP, Ottum SA, Ali S, Francl LJ, Ciuffetti LM. Characterization of the ToxB gene from pyrenophora tritici-repentis Molecular Plant-Microbe Interactions. 14: 675-677. PMID 11332732 DOI: 10.1094/Mpmi.2001.14.5.675 |
0.372 |
|
| 2001 |
Friesen TL, De Wolf ED, Francl LJ. Source strength of wheat pathogens during combine harvest Aerobiologia. 17: 293-299. DOI: 10.1023/A:1013045517513 |
0.683 |
|
| 2000 |
De Wolf ED, Francl LJ. Neural network classification of tan spot and stagonospora blotch infection periods in a wheat field environment. Phytopathology. 90: 108-13. PMID 18944597 DOI: 10.1094/PHYTO.2000.90.2.108 |
0.728 |
|
| 1999 |
Francl L, Shaner G, Bergstrom G, Gilbert J, Pedersen W, Dill-Macky R, Sweets L, Corwin B, Jin Y, Gallenberg D, Wiersma J. Daily Inoculum Levels of Gibberella zeae on Wheat Spikes. Plant Disease. 83: 662-666. PMID 30845618 DOI: 10.1094/Pdis.1999.83.7.662 |
0.341 |
|
| 1999 |
Chtioui Y, Panigrahi S, Francl L. A generalized regression neural network and its application for leaf wetness prediction to forecast plant disease Chemometrics and Intelligent Laboratory Systems. 48: 47-58. DOI: 10.1016/S0169-7439(99)00006-4 |
0.438 |
|
| 1999 |
Chtioui Y, Francl LJ, Panigrahi S. Moisture prediction from simple micrometeorological data Phytopathology. 89: 668-672. |
0.33 |
|
| 1998 |
De Wolf ED, Effertz RJ, Ali S, Francl LJ. Vistas of tan spot research Canadian Journal of Plant Pathology. 20: 349-370. |
0.686 |
|
| 1998 |
De Wolf ED, Francl LJ. Empirical infection period models for tan spot of wheat Canadian Journal of Plant Pathology. 20: 394-395. |
0.719 |
|
| 1997 |
Francl LJ, Panigrahi S. Artificial neural network models of wheat leaf wetness Agricultural and Forest Meteorology. 88: 57-65. DOI: 10.1016/S0168-1923(97)00051-8 |
0.351 |
|
| 1997 |
De Wolf ED, Francl LJ. Neural networks that distinguish infection periods of wheat tan spot in an outdoor environment Phytopathology. 87: 83-87. |
0.725 |
|
| 1995 |
Francl LJ. Challenge of bioassay plants in a monitored outdoor environment Canadian Journal of Plant Pathology. 17: 138-143. DOI: 10.1080/07060669509500704 |
0.333 |
|
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