-
1
-
-
0037767232
-
Environmental factors affecting rose downy mildew and development of a forecasting model for a nursery production system
-
Aegerter, B. J., Nunez, J. J., and Davis, R. M. 2003. Environmental factors affecting rose downy mildew and development of a forecasting model for a nursery production system. Plant Dis. 87:732-738.
-
(2003)
Plant Dis
, vol.87
, pp. 732-738
-
-
Aegerter, B.J.1
Nunez, J.J.2
Davis, R.M.3
-
2
-
-
78650847582
-
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve
-
Airola, A., Pahikkala, T., Waegeman, W., De Baets, B., and Salakoski, T. 2011. An experimental comparison of cross-validation techniques for estimating the area under the ROC curve. Comput. Stat. Data. An. 55:1828-1844.
-
(2011)
Comput. Stat. Data. An
, vol.55
, pp. 1828-1844
-
-
Airola, A.1
Pahikkala, T.2
Waegeman, W.3
de Baets, B.4
Salakoski, T.5
-
3
-
-
28044456944
-
Qualification of a plant disease simulation model: Performance of the LATEBLIGHT model across a broad range of environments
-
Andrade-Piedra, J. L., Forbes, G. A., Shtienberg, D., Grünwald, N. J., Chacón, M. G., Taipe, M. V., Hijmans, R. J., and Fry, W. E. 2005. Qualification of a plant disease simulation model: Performance of the LATEBLIGHT model across a broad range of environments. Phytopathology 95:1412-1422.
-
(2005)
Phytopathology
, vol.95
, pp. 1412-1422
-
-
Andrade-Piedra, J.L.1
Forbes, G.A.2
Shtienberg, D.3
Grünwald, N.J.4
Chacón, M.G.5
Taipe, M.V.6
Hijmans, R.J.7
Fry, W.E.8
-
4
-
-
77950788244
-
Hydrogen peroxide induced by the fungicide prothioconazole triggers deoxynivalenol (DON) production by Fusarium graminearum
-
Audenaert, K., Callewaert, E., Höfte, M., De Saeger, S., and Haesaert, G. 2010. Hydrogen peroxide induced by the fungicide prothioconazole triggers deoxynivalenol (DON) production by Fusarium graminearum. BMC Microbiol. 10:112-125.
-
(2010)
BMC Microbiol
, vol.10
, pp. 112-125
-
-
Audenaert, K.1
Callewaert, E.2
Höfte, M.3
de Saeger, S.4
Haesaert, G.5
-
5
-
-
70350097898
-
Fusarium head blight (FHB) in Flanders: Population diversity, inter-species associations and DON contamination in commercial winter wheat varieties
-
Audenaert, K., Van Broeck, R., De Witte, F., Heremans, B., Messens, K., Höfte, M., and Haesaert, G. 2009. Fusarium head blight (FHB) in Flanders: Population diversity, inter-species associations and DON contamination in commercial winter wheat varieties. Eur. J. Plant Pathol. 125:445-458.
-
(2009)
Eur. J. Plant Pathol
, vol.125
, pp. 445-458
-
-
Audenaert, K.1
van Broeck, R.2
de Witte, F.3
Heremans, B.4
Messens, K.5
Höfte, M.6
Haesaert, G.7
-
6
-
-
84925604888
-
No unbiased estimator of K-fold cross-validation exists
-
Bengio, Y., and Grandvalet, Y. 2004. No unbiased estimator of K-fold cross-validation exists. J. Mach. Lear. Res. 5:1089-1105.
-
(2004)
J. Mach. Lear. Res
, vol.5
, pp. 1089-1105
-
-
Bengio, Y.1
Grandvalet, Y.2
-
8
-
-
0000131403
-
Cross-validation methods
-
Browne, M. W. 2000. Cross-validation methods. J. Math. Psychol. 44:108-132.
-
(2000)
J. Math. Psychol
, vol.44
, pp. 108-132
-
-
Browne, M.W.1
-
9
-
-
63149166446
-
Image pattern classification for the identification of disease causing agents in plants
-
Camargo, A., and Smith, J. S. 2009. Image pattern classification for the identification of disease causing agents in plants. Comput. Electron. Agric. 66:121-125.
-
(2009)
Comput. Electron. Agric
, vol.66
, pp. 121-125
-
-
Camargo, A.1
Smith, J.S.2
-
10
-
-
4444333654
-
Weather-based prediction of anthracnose severity using artificial neural network models
-
Chakraborty, S., Ghosh, R., Ghosh, M., Fernandes, C. D., Charchar, M. J., and Kelemu, S. 2004. Weather-based prediction of anthracnose severity using artificial neural network models. Plant Pathol. 53:375-386.
-
(2004)
Plant Pathol
, vol.53
, pp. 375-386
-
-
Chakraborty, S.1
Ghosh, R.2
Ghosh, M.3
Fernandes, C.D.4
Charchar, M.J.5
Kelemu, S.6
-
12
-
-
0033958522
-
Neural network classification of tan spot and stagonospora blotch infection periods in a wheat field environment
-
De Wolf, E. D., and Francl, L. J. 2000. Neural network classification of tan spot and stagonospora blotch infection periods in a wheat field environment. Phytopathology 90:108-113.
-
(2000)
Phytopathology
, vol.90
, pp. 108-113
-
-
de Wolf, E.D.1
Francl, L.J.2
-
13
-
-
57049143049
-
Ridge regression technique to determine the environmental influences on tef (Eragrostis tef) grain yield
-
Debusho, L. K. 2008. Ridge regression technique to determine the environmental influences on tef (Eragrostis tef) grain yield. Afr. J. Plant Soil. 25:135-138.
-
(2008)
Afr. J. Plant Soil
, vol.25
, pp. 135-138
-
-
Debusho, L.K.1
-
14
-
-
33745436242
-
Predicting severity of Asian soybean rust epidemics with empirical rainfall models
-
Del Ponte, E. M., Godoy, C. V., Li, X., and Yang, X. B. 2006. Predicting severity of Asian soybean rust epidemics with empirical rainfall models. Phytopathology 96:797-803.
-
(2006)
Phytopathology
, vol.96
, pp. 797-803
-
-
Ponte, E.M.1
Godoy, C.V.2
Li, X.3
Yang, X.B.4
-
15
-
-
0000259511
-
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
-
Dietterich, T. 1998. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. Neural Computation 10:1895-1924.
-
(1998)
Neural Computation
, vol.10
, pp. 1895-1924
-
-
Dietterich, T.1
-
16
-
-
34247545081
-
Risk evaluation of deoxynivalenol levels in Bavarian wheat from survey data
-
Eiblmeier, P., and von Gleissenthall, L. 2007. Risk evaluation of deoxynivalenol levels in Bavarian wheat from survey data. J. Plant Dis. Prot. 114:69-75.
-
(2007)
J. Plant Dis. Prot
, vol.114
, pp. 69-75
-
-
Eiblmeier, P.1
von Gleissenthall, L.2
-
17
-
-
0000902455
-
Development and field validation for a Brown patch warning model for perennial ryegrass turf
-
Fidanza, M. A., Dernoede, P. H., and Grybauskas, A. P. 1996. Development and field validation for a Brown patch warning model for perennial ryegrass turf. Phytopathology 86:385-390.
-
(1996)
Phytopathology
, vol.86
, pp. 385-390
-
-
Fidanza, M.A.1
Dernoede, P.H.2
Grybauskas, A.P.3
-
18
-
-
24344508185
-
A method for calibration and validation subset partitioning
-
Galvão, R. K. H., Araujo, M. C. U., José, G. E., Pontes, M. J. C., Silva, E. C., and Saldanha, T. C. B. 2005. A method for calibration and validation subset partitioning. Talanta 67(4):736-740.
-
(2005)
Talanta
, vol.67
, Issue.4
, pp. 736-740
-
-
Galvão, R.K.H.1
Araujo, M.C.U.2
José, G.E.3
Pontes, M.J.C.4
Silva, E.C.5
Saldanha, T.C.B.6
-
19
-
-
84861636458
-
Comprehensive evolution and evaluation of boosting
-
Ganatra, A. P., and Kosta, Y. P. 2010. Comprehensive evolution and evaluation of boosting. Int. J. Comp. Theo. Eng. 2:931-936.
-
(2010)
Int. J. Comp. Theo. Eng
, vol.2
, pp. 931-936
-
-
Ganatra, A.P.1
Kosta, Y.P.2
-
20
-
-
4344606380
-
New applications of statistical tools in plant pathology
-
Garrett, K. A., Madden, L. V., Hughes, G., and Pfender, W. F. 2004. New applications of statistical tools in plant pathology. Phytopathology 94:999-1003.
-
(2004)
Phytopathology
, vol.94
, pp. 999-1003
-
-
Garrett, K.A.1
Madden, L.V.2
Hughes, G.3
Pfender, W.F.4
-
21
-
-
84872161131
-
-
Vienna University of Economics and Business Administration, Vienna, Austria
-
Gentleman, R., and Ihaka, R. 1997. http://www.r-project.org/. Vienna University of Economics and Business Administration, Vienna, Austria.
-
-
-
Gentleman, R.1
Ihaka, R.2
-
22
-
-
0008250026
-
Analysis of rainfall data by simple good sense: Is spatial statistics worth the trouble
-
Genton, M. G., and Furrer, R. 1998. Analysis of rainfall data by simple good sense: Is spatial statistics worth the trouble? J. Geogr. Inform. Decision Anal. 2:11-17.
-
(1998)
J. Geogr. Inform. Decision Anal
, vol.2
, pp. 11-17
-
-
Genton, M.G.1
Furrer, R.2
-
24
-
-
34547092666
-
Forecasting late blight in potato crops of southern Idaho using logistic regression analysis
-
Henderson, D., Williams, C. J., and Miller, J. S. 2007. Forecasting late blight in potato crops of southern Idaho using logistic regression analysis. Plant Dis. 91:951-956.
-
(2007)
Plant Dis
, vol.91
, pp. 951-956
-
-
Henderson, D.1
Williams, C.J.2
Miller, J.S.3
-
25
-
-
0036102271
-
Using weather variables pre-and post-heading to predict deoxynivalenol content in winter wheat
-
Hooker, D. C., Schaafsma, A. W., and Tamburic-Ilincic, L. 2002. Using weather variables pre-and post-heading to predict deoxynivalenol content in winter wheat. Plant Dis. 86:611-619.
-
(2002)
Plant Dis
, vol.86
, pp. 611-619
-
-
Hooker, D.C.1
Schaafsma, A.W.2
Tamburic-Ilincic, L.3
-
26
-
-
58149302526
-
Mycotoxin-producing Fusarium species occurring in winter wheat in Belgium (Flanders) during 2002-2005
-
Isebaert, S., De Saeger, S., Devreese, R., Verhoeven, R., Maene, P., Heremans, B., and Haesaert, G. 2009. Mycotoxin-producing Fusarium species occurring in winter wheat in Belgium (Flanders) during 2002-2005. J. Phytopathol. 157:108-116.
-
(2009)
J. Phytopathol
, vol.157
, pp. 108-116
-
-
Isebaert, S.1
de Saeger, S.2
Devreese, R.3
Verhoeven, R.4
Maene, P.5
Heremans, B.6
Haesaert, G.7
-
27
-
-
33751287730
-
Machine learning techniques in disease forecasting: A case study on rice blast prediction
-
Kaundal, R., Kapoor, A. S., and Raghava, G. P. S. 2006. Machine learning techniques in disease forecasting: A case study on rice blast prediction. BMC Bioinform. 7:485.
-
(2006)
BMC Bioinform
, vol.7
, pp. 485
-
-
Kaundal, R.1
Kapoor, A.S.2
Raghava, G.P.S.3
-
28
-
-
34948877689
-
A neural network model for prediction of deoxynivalenol content in wheat grain based on weather data and preceding crop
-
Klem, K., Váňová, M., Hajšlová, J., Lancová, K., and Sehnalová, M. 2007. A neural network model for prediction of deoxynivalenol content in wheat grain based on weather data and preceding crop. Plant Soil Environ. 53:421-429.
-
(2007)
Plant Soil Environ
, vol.53
, pp. 421-429
-
-
Klem, K.1
Váňová, M.2
Hajšlová, J.3
Lancová, K.4
Sehnalová, M.5
-
29
-
-
34548853738
-
A crop loss related forecasting model for Sclerotinia stem rot in winter oilseed rape
-
Koch, S., Dunker, S., Kleinhenz, B., Röhrig, M., and von Tiedemann, A. 2007. A crop loss related forecasting model for Sclerotinia stem rot in winter oilseed rape. Phytopathology 97:1186-1194.
-
(2007)
Phytopathology
, vol.97
, pp. 1186-1194
-
-
Koch, S.1
Dunker, S.2
Kleinhenz, B.3
Röhrig, M.4
von Tiedemann, A.5
-
30
-
-
34547728799
-
Population dynamics of Fusarium spp. and Microdochium nivale in crops and crop residues of winter wheat
-
Köhl, J., de Haas, B., Kastelein, P., Burgers, S. L. G. E., and Waalwijk, C. 2007. Population dynamics of Fusarium spp. and Microdochium nivale in crops and crop residues of winter wheat. Phytopathology 97:971-978.
-
(2007)
Phytopathology
, vol.97
, pp. 971-978
-
-
Köhl, J.1
de Haas, B.2
Kastelein, P.3
Burgers, S.L.G.E.4
Waalwijk, C.5
-
31
-
-
0002538983
-
Assessing error rate estimators: The leave-one-out method reconsidered
-
Krzanowski, W., and Hand, D. 1997. Assessing error rate estimators: The leave-one-out method reconsidered. Aust. J. Stat. 39(1):35-46.
-
(1997)
Aust. J. Stat
, vol.39
, Issue.1
, pp. 35-46
-
-
Krzanowski, W.1
Hand, D.2
-
32
-
-
79960950072
-
Connection between primary Fusarium inoculum and the final population on wheat ears in Flanders
-
Landschoot, S., Audenaert, K., Waegeman, W., Pycke, B., Bekaert, B., De Baets, B., and Haesaert, G. 2011. Connection between primary Fusarium inoculum and the final population on wheat ears in Flanders. Crop Prot. 30:1297-1305.
-
(2011)
Crop Prot
, vol.30
, pp. 1297-1305
-
-
Landschoot, S.1
Audenaert, K.2
Waegeman, W.3
Pycke, B.4
Bekaert, B.5
de Baets, B.6
Haesaert, G.7
-
33
-
-
84861601005
-
An empirical analysis of explanatory variables affecting Fusarium infection and deoxynivalenol content in wheat
-
In press
-
Landschoot, S., Waegeman, W., Audenaert, K., Vandepitte, J., Baetens, J. M., De Baets, B., and Haesaert, G. 2011. An empirical analysis of explanatory variables affecting Fusarium infection and deoxynivalenol content in wheat. J. Plant Pathol. In press.
-
(2011)
J. Plant Pathol
-
-
Landschoot, S.1
Waegeman, W.2
Audenaert, K.3
Vandepitte, J.4
Baetens, J.M.5
de Baets, B.6
Haesaert, G.7
-
34
-
-
79960325818
-
Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE
-
doi:10.1371/journal.pone.0021750
-
Lian, Y., Zhang, F., Wang, J., Joshi, T., and Wang, Y. 2011. Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE. Plos ONE. 6(7):e21750. doi:10.1371/journal.pone.0021750.
-
(2011)
Plos ONE
, vol.6
, Issue.7
-
-
Lian, Y.1
Zhang, F.2
Wang, J.3
Joshi, T.4
Wang, Y.5
-
35
-
-
33947330261
-
Boosting alternating decision trees modelling of disease trait information
-
Liu, K. Y., Lin, L., Zhou, X., and Wong, S. T. C. 2005. Boosting alternating decision trees modelling of disease trait information. BMC Genet. 6:S132.
-
(2005)
BMC Genet
, vol.6
-
-
Liu, K.Y.1
Lin, L.2
Zhou, X.3
Wong, S.T.C.4
-
36
-
-
73849088741
-
Comparison of AdaBoost and Support Vector Machines for detecting Alzheimer's disease through automated hippocampal segmentation
-
Morra, J. H., Zhuowen, T., Apostolova, L. G., Green, A. E., Toga, A. W., and Thompson, P. M. 2010. Comparison of AdaBoost and Support Vector Machines for detecting Alzheimer's disease through automated hippocampal segmentation. Med. Imaging 29:30-43.
-
(2010)
Med. Imaging
, vol.29
, pp. 30-43
-
-
Morra, J.H.1
Zhuowen, T.2
Apostolova, L.G.3
Green, A.E.4
Toga, A.W.5
Thompson, P.M.6
-
37
-
-
0029661253
-
Predicting wheat head blight incidence using models based on meteorological factors in Pergamino, Argentina
-
Moschini, R. C., and Fortugno, C. 1996. Predicting wheat head blight incidence using models based on meteorological factors in Pergamino, Argentina. Eur. J. Plant Pathol. 112:211-218.
-
(1996)
Eur. J. Plant Pathol
, vol.112
, pp. 211-218
-
-
Moschini, R.C.1
Fortugno, C.2
-
38
-
-
0034803251
-
Empirical predictions of wheat head blight in the northern Argentinean pampas region
-
Moschini, R. C., Piolib, R., Carmonac, M., and Sacchid, O. 2001. Empirical predictions of wheat head blight in the northern Argentinean pampas region. Crop Sci. 41:1541-1545.
-
(2001)
Crop Sci
, vol.41
, pp. 1541-1545
-
-
Moschini, R.C.1
Piolib, R.2
Carmonac, M.3
Sacchid, O.4
-
39
-
-
38349089209
-
Stratification bias in low signal microarray studies
-
Parker, B. J., Gunter, S., and Bedo, J. 2007. Stratification bias in low signal microarray studies. BMC Bioinform. 8:326.
-
(2007)
BMC Bioinform
, vol.8
, pp. 326
-
-
Parker, B.J.1
Gunter, S.2
Bedo, J.3
-
40
-
-
33748053355
-
Meta-analysis of regression coefficients for the relationship between Fusarium head blight and deoxynivalenol content of wheat
-
Paul, P. A., Lipps, P. E., and Madden, L. V. 2006. Meta-analysis of regression coefficients for the relationship between Fusarium head blight and deoxynivalenol content of wheat. Phytopathology 96:951-961.
-
(2006)
Phytopathology
, vol.96
, pp. 951-961
-
-
Paul, P.A.1
Lipps, P.E.2
Madden, L.V.3
-
41
-
-
15544388262
-
Regression and artificial neural network modelling for the prediction of gray leaf spot of maize
-
Paul, P. A., and Munkvold, G. P. 2005. Regression and artificial neural network modelling for the prediction of gray leaf spot of maize. Phytopathology 95:388-396.
-
(2005)
Phytopathology
, vol.95
, pp. 388-396
-
-
Paul, P.A.1
Munkvold, G.P.2
-
42
-
-
2942729702
-
Survival and inoculum production of Gibberella zeae in wheat residue
-
Pereyra, S. A., Dill-Macky, R., and Sims, A. L. 2004. Survival and inoculum production of Gibberella zeae in wheat residue. Plant Dis. 88:724-730.
-
(2004)
Plant Dis
, vol.88
, pp. 724-730
-
-
Pereyra, S.A.1
Dill-Macky, R.2
Sims, A.L.3
-
43
-
-
0037379093
-
Prediction of stem rust infection favorability, by means of degree-hour wetness duration, for perennial ryegrass seed crops
-
Pfender, W. F. 2003. Prediction of stem rust infection favorability, by means of degree-hour wetness duration, for perennial ryegrass seed crops. Phytopathology 93:467-477.
-
(2003)
Phytopathology
, vol.93
, pp. 467-477
-
-
Pfender, W.F.1
-
44
-
-
63149098457
-
Review of predictive models for Fusarium head blight and related mycotoxin contamination in wheat
-
Prandini, A., Sigolo, S., Filippi, L., Battilani, P., and Piva, G. 2009. Review of predictive models for Fusarium head blight and related mycotoxin contamination in wheat. Food Chem. Toxicol. 47:927-931.
-
(2009)
Food Chem. Toxicol
, vol.47
, pp. 927-931
-
-
Prandini, A.1
Sigolo, S.2
Filippi, L.3
Battilani, P.4
Piva, G.5
-
45
-
-
84861623920
-
Machine learning for forewarning crop diseases
-
Rajni, J., Minz, S., and Ramasubramanian, V. 2009. Machine learning for forewarning crop diseases. J. Ind. Soc. Agril. Statist. 63:97-107.
-
(2009)
J. Ind. Soc. Agril. Statist
, vol.63
, pp. 97-107
-
-
Rajni, J.1
Minz, S.2
Ramasubramanian, V.3
-
46
-
-
4444346148
-
A model estimating risk for Fusarium mycotoxins in wheat kernels
-
Rossi, V., Giosuè, S., and Delogu, G. 2003. A model estimating risk for Fusarium mycotoxins in wheat kernels. Asp. Appl. Biol. 68:229-234.
-
(2003)
Asp. Appl. Biol
, vol.68
, pp. 229-234
-
-
Rossi, V.1
Giosuè, S.2
Delogu, G.3
-
47
-
-
0030274304
-
Testing ecological models: The meaning of validation
-
Rykiel, E. J. 1996. Testing ecological models: The meaning of validation. Ecol. Model. 90:229-244.
-
(1996)
Ecol. Model
, vol.90
, pp. 229-244
-
-
Rykiel, E.J.1
-
48
-
-
4344705706
-
Overview of selected multivariate statistical methods and their use in phytopathological research
-
Sango, S., and Yang, X. B. 2004. Overview of selected multivariate statistical methods and their use in phytopathological research. Phytopathology 94:1004-1006.
-
(2004)
Phytopathology
, vol.94
, pp. 1004-1006
-
-
Sango, S.1
Yang, X.B.2
-
49
-
-
33748941300
-
Quantification and modeling crop losses: A review of purposes
-
Savary, S., Teng, P. S., Willocquet, L., and Nutter, F. W. 2006. Quantification and modeling crop losses: A review of purposes. Annu. Rev. Phytopathol. 44:89-112.
-
(2006)
Annu. Rev. Phytopathol
, vol.44
, pp. 89-112
-
-
Savary, S.1
Teng, P.S.2
Willocquet, L.3
Nutter, F.W.4
-
50
-
-
35748959375
-
Climatic models to predict occurrence of Fusarium toxins in wheat and maize
-
Schaafsma, A. W., and Hooker, D. C. 2007. Climatic models to predict occurrence of Fusarium toxins in wheat and maize. Int. J. Food Microbiol. 119:116-125.
-
(2007)
Int. J. Food Microbiol
, vol.119
, pp. 116-125
-
-
Schaafsma, A.W.1
Hooker, D.C.2
-
51
-
-
0003408420
-
-
The MIT Press, Cambridge, MA
-
Schölkopf, B., and Smola, A. 2002. Learning with Kernels, Support Vector Machines, Regularisation, Optimization and Beyond. The MIT Press, Cambridge, MA.
-
(2002)
Learning With Kernels, Support Vector Machines, Regularisation, Optimization and Beyond
-
-
Schölkopf, B.1
Smola, A.2
-
53
-
-
35348997044
-
A sitespecific, weather-based disease regression model for Sclerotinia blight of peanut
-
Smith, D. L., Hollowell, J. E., Isleib, T. G., and Shew, B. B. 2007. A sitespecific, weather-based disease regression model for Sclerotinia blight of peanut. Plant Dis. 91:1436-1444.
-
(2007)
Plant Dis
, vol.91
, pp. 1436-1444
-
-
Smith, D.L.1
Hollowell, J.E.2
Isleib, T.G.3
Shew, B.B.4
-
54
-
-
77952244550
-
Descriptive modelling to predict deoxynivalenol in winter wheat in the Netherlands
-
Van Der Fels-Klerx, H., Burgers, S. L. G. E., Booij, C. J. H. 2010. Descriptive modelling to predict deoxynivalenol in winter wheat in the Netherlands. Food Addit. Contam. 27:636-643.
-
(2010)
Food Addit. Contam
, vol.27
, pp. 636-643
-
-
van der Fels-Klerx, H.1
-
55
-
-
0142152627
-
Modelling plant disease epidemics
-
van Maanen, A., and Xu, X. M. 2003. Modelling plant disease epidemics. Eur. J. Plant Pathol. 109:669-682.
-
(2003)
Eur. J. Plant Pathol
, vol.109
, pp. 669-682
-
-
van Maanen, A.1
Xu, X.M.2
-
56
-
-
33644860703
-
Bias in error estimation when using cross-validation for model selection
-
Varma, S., and Simon, R. 2006. Bias in error estimation when using cross-validation for model selection. BMC Bioinform. 23:7-91.
-
(2006)
BMC Bioinform
, vol.23
, pp. 7-91
-
-
Varma, S.1
Simon, R.2
-
57
-
-
0142183682
-
Major changes in Fusarium spp. In wheat in the Netherlands
-
Waalwijk, C., Kastelein, P., de Vries, I., Kerényi, Z., van der Lee, T., Hesselink, T., Köhl, J., and Kema, G. 2003. Major changes in Fusarium spp. In wheat in the Netherlands. Eur. J. Plant Pathol. 109:743-754.
-
(2003)
Eur. J. Plant Pathol
, vol.109
, pp. 743-754
-
-
Waalwijk, C.1
Kastelein, P.2
de Vries, I.3
Kerényi, Z.4
van der Lee, T.5
Hesselink, T.6
Köhl, J.7
Kema, G.8
-
58
-
-
79955159737
-
Path and ridge regression analysis of seed yield and seed yield components of Russian wildrye (Psathyrostachys juncea Nevski) under field conditions
-
doi:10.1371/journal.pone.0018245
-
Wang, Q., Zahn, T., Cui, J., Wang, X., Zhou, H., Han, J., and Gislum, R. 2011. Path and ridge regression analysis of seed yield and seed yield components of Russian wildrye (Psathyrostachys juncea Nevski) under field conditions. PLoS ONE. 6(4):e18245. doi:10.1371/journal.pone.0018245.
-
(2011)
PLoS ONE
, vol.6
, Issue.4
-
-
Wang, Q.1
Zahn, T.2
Cui, J.3
Wang, X.4
Zhou, H.5
Han, J.6
Gislum, R.7
-
59
-
-
84991833843
-
-
3rd ed. Morgan Kaufmann, Waltham, MA
-
Witten, I. H., Frank, E., and Hall, M. A. 2011. Data Mining: Practical Machine Learning Tools and Techniques. 3rd ed. Morgan Kaufmann, Waltham, MA.
-
(2011)
Data Mining: Practical Machine Learning Tools and Techniques
-
-
Witten, I.H.1
Frank, E.2
Hall, M.A.3
-
60
-
-
0142183690
-
Effects of environmental conditions on the development of Fusarium ear blight
-
Xu, X. M. 2003. Effects of environmental conditions on the development of Fusarium ear blight. Eur. J. Plant Pathol. 109:683-689.
-
(2003)
Eur. J. Plant Pathol
, vol.109
, pp. 683-689
-
-
Xu, X.M.1
-
61
-
-
21144451421
-
Predominance and association of pathogenic fungi causing Fusarium ear blight in wheat in four European countries
-
Xu, X. M., Parry, D. W., Nicholson, P., Thomsett, M. A., Simpson, D., Edwards, S., Cooke, B. M., Doohan, F. M., Brennan, J. M., Moretti, A., Tocco, G., Mule, G., Hornok, L., Giczey, G., and Tatnell, J. 2005. Predominance and association of pathogenic fungi causing Fusarium ear blight in wheat in four European countries. Eur. J. Plant Pathol. 112:143-154.
-
(2005)
Eur. J. Plant Pathol
, vol.112
, pp. 143-154
-
-
Xu, X.M.1
Parry, D.W.2
Nicholson, P.3
Thomsett, M.A.4
Simpson, D.5
Edwards, S.6
Cooke, B.M.7
Doohan, F.M.8
Brennan, J.M.9
Moretti, A.10
Tocco, G.11
Mule, G.12
Hornok, L.13
Giczey, G.14
Tatnell, J.15
-
62
-
-
84981809484
-
A decimal code for growth stages of cereals
-
Zadoks, J. C., Chang, T. T., and Konzak, C. F. 1974. A decimal code for growth stages of cereals. Weed Resist. 14:415-421.
-
(1974)
Weed Resist
, vol.14
, pp. 415-421
-
-
Zadoks, J.C.1
Chang, T.T.2
Konzak, C.F.3
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