Zobrazeno 1 - 10
of 19
pro vyhledávání: '"E. D. De Wolf"'
Autor:
H. D. Zhao, R. Lollato, Zachary Zambreski, Xiaomao Lin, L. Shi, G. F. Sassenrath, E. D. De Wolf
Publikováno v:
Journal of Applied Meteorology and Climatology. 60:1685-1696
Accurate prediction of winter wheat (Triticum aestivum L.) heading date is important for determining the potential incidence of diseases and abiotic stresses such as freeze or heat events. Wheat phenological modeling requires cultivar- and crop-zone-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e4ded96ee9ffb0d62dc8af39c25bee
https://doi.org/10.1175/jamc-d-21-0040.1
https://doi.org/10.1175/jamc-d-21-0040.1
Publikováno v:
Phytopathology®. 109:96-110
In past efforts, input weather variables for Fusarium head blight (FHB) prediction models in the United States were identified after following some version of the window-pane algorithm, which discretizes a continuous weather time series into fixed-le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7e75bec6b5af3baccc0ce77b67a2d1
https://doi.org/10.1094/phyto-11-17-0386-r
https://doi.org/10.1094/phyto-11-17-0386-r
Publikováno v:
Plant disease. 83(6)
Tan spot, caused by Pyrenophora tritici-repentis, is an important foliar disease of wheat worldwide. The fungus produces two distinct symptoms, necrosis (nec) and chlorosis (chl), on susceptible wheat genotypes. Fungal isolates have been grouped into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7903dfc5c728a68214bee9ec94f588a8
https://pubmed.ncbi.nlm.nih.gov/30849852
https://pubmed.ncbi.nlm.nih.gov/30849852
Publikováno v:
Plant disease. 89(11)
Mansfield, M. A., De Wolf, E. D., and Kuldau, G. A. 2005. Relationships between weather conditions, agronomic practices, and fermentation characteristics with deoxynivalenol content in fresh and ensiled maize. Plant Dis. 89:1151-1157. The deoxynivale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::209c7b0b94ad38031b1a325dd9149396
https://pubmed.ncbi.nlm.nih.gov/30786436
https://pubmed.ncbi.nlm.nih.gov/30786436
Publikováno v:
Plant disease. 90(5)
Fusarium graminearum (teleomorph Gibberella zeae) is the most common pathogen of Fusarium head blight (FHB) in North America. Ascospores released from the perithecia of G. zeae are a major source of inoculum for FHB. The influence of temperature and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0bcd1fa1c250dfaacf80d213b8cf24
https://pubmed.ncbi.nlm.nih.gov/30781141
https://pubmed.ncbi.nlm.nih.gov/30781141
Publikováno v:
Kansas Agricultural Experiment Station Research Reports. 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f22cbde20bf5f3224bd1158d357e694
https://doi.org/10.4148/2378-5977.7742
https://doi.org/10.4148/2378-5977.7742
Publikováno v:
Kansas Agricultural Experiment Station Research Reports. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d52c346b1cd86e77c13566825525d40
https://doi.org/10.4148/2378-5977.7626
https://doi.org/10.4148/2378-5977.7626
Publikováno v:
Kansas Agricultural Experiment Station Research Reports. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44ba2e423fc51aa4397ffdf94e44f830
https://doi.org/10.4148/2378-5977.7385
https://doi.org/10.4148/2378-5977.7385
Publikováno v:
Phytopathology®. 104:702-714
Predicting major Fusarium head blight (FHB) epidemics allows for the judicious use of fungicides in suppressing disease development. Our objectives were to investigate the utility of boosted regression trees (BRTs) for predictive modeling of FHB epid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c84fbc864fa41bd3d7550722ced79c0f
https://doi.org/10.1094/phyto-10-13-0273-r
https://doi.org/10.1094/phyto-10-13-0273-r
Autor:
Julio E. Molineros, E. D. De Wolf, K. T. Willyerd, Denis A. Shah, Laurence V. Madden, Pierce A. Paul
Publikováno v:
Phytopathology®. 103:906-919
Our objective was to identify weather-based variables in pre- and post-anthesis time windows for predicting major Fusarium head blight (FHB) epidemics (defined as FHB severity ≥ 10%) in the United States. A binary indicator of major epidemics for 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d23922db5d78f817d7d7dc785438db50
https://doi.org/10.1094/phyto-11-12-0304-r
https://doi.org/10.1094/phyto-11-12-0304-r