Search Results

You are looking at 61 - 70 of 231 items for :

  • Refine by Access: All x
Clear All
Free access

Raymond A. Cloyd

pathogens; chemical ecology; insecticide resistance; coping with stress; population dynamics; feeding injury; transmission of plant viruses; chemical control; cultural control; host–plant resistance; biological control; monitoring and forecasting; integrated

Full access

Clyde W. Fraisse, Zhengjun Hu, and Eric H. Simonne

(SOI) are used to define ENSO years or the strength, timing, and duration of ENSO events ( Hanley et al., 2003 ). Long-range seasonal forecasts over the southeastern United States ( Southeast Climate Consortium, 2008 ) are derived from predicting the

Full access

Christian A. Wyenandt, Landon H. Rhodes, Mark A. Bennett, and Richard M. Riedel

transplanting and continuing until harvest ( Precheur et al., 1992 ). Even with a good fungicide program, fruit rot caused by anthracnose can be as high as 15% ( Dillard et al., 1997 ; Sherf and MacNab, 1986 ). The disease forecasting system, Tom-Cast, was

Full access

Elizabeth Conlan, Tatiana Borisova, Erick Smith, Jeffrey Williamson, and Mercy Olmstead

; (°F – 32) ÷ 1.8 = °C. Overall, the decision to start frost protection at a particular time depends on the cost, information available, and risk attitude of growers to adjust their practices in response to frost forecasts ( Crane et al., 2010 ; Hu et

Free access

E. Barclay Poling

layer of ice crystals formed on the ground, grass blades, twigs, and young grape shoots. The dew point (DP) temperature is unquestionably one of the most valuable pieces of information you get as a subscriber to an advance recommended weather forecast

Free access

Fabio Orlandi, Carlo Sgromo, Tommaso Bonofiglio, Luigia Ruga, Bruno Romano, and Marco Fornaciari

, R. 2000 Bases and limits to using ‘degree day’ units Eur. J. Agron. 13 1 10 Candau, P. Gonzalez, F.J. Morales, J. Tomas, C. 1998 Forecasting olive ( Olea europaea ) crop production by

Free access

Maude Lachapelle, Gaétan Bourgeois, and Jennifer R. DeEll

development of a spatiotemporal forecasting model based on preharvest weather conditions. Predictions of texture levels, both at harvest and after removal from storage, could provide a helpful tool to apple producers in their marketing strategies. Materials

Open access

Derek W. Barchenger, Robert A. Clark III, Paul A. Gniffke, Dolores R. Ledesma, Shih-wen Lin, Peter Hanson, and Sanjeet Kumar

were obtained from the National Oceanic and Atmospheric Administration’s Global Forecast System (GFS) ( ; Global Climate & Weather Modeling Branch, 2016 ) for analysis for each experimental site. The GFS predicts global weather

Free access

Joshua R. Gerovac, Roberto G. Lopez, and Neil S. Mattson

moderate temperature swings. End-wall peak vents were opened when the forecast high was >13 °C, end-wall vents and doors were opened when the forecast high was >21 °C, and vents, doors, and roll-up side walls were opened when the forecast high was >24 °C

Open access

Jonathan H. Crane, Pollyana Cardoso Chagas, and Edvan Alves Chagas

characterized as marine subtropical with a mean annual temperature of 23.7 °C, a mean annual maximum of 28.9 °C, a mean annual minimum of 18.6 °C, and 1512 mm of annual rainfall ( National Weather Service Forecast Office, 2018 ). Daylength ranges from 10 h 33