Search Results - "Paz, J.O"

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  1. 1

    Estimating irrigation water use for maize in the Southeastern USA: A modeling approach by Salazar, M.R., Hook, J.E., Garcia y Garcia, A., Paz, J.O., Chaves, B., Hoogenboom, G.

    Published in Agricultural water management (01-05-2012)
    “…► Evaluation and application of CERES-Maize model were done to simulate irrigation. ► The model was able to simulate the amount of water required for maize…”
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    Journal Article
  2. 2

    Development of an ENSO-based irrigation decision support tool for peanut production in the southeastern US by Paz, J.O., Fraisse, C.W., Hatch, L.U., Garcia y Garcia, A., Guerra, L.C., Uryasev, O., Bellow, J.G., Jones, J.W., Hoogenboom, G.

    “…Available climate information can be used by growers to assess different scenarios and alternative management strategies. An irrigation decision support tool…”
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    Journal Article
  3. 3

    Methodology to link production and environmental risks of precision nitrogen management strategies in corn by Thorp, K.R., Batchelor, W.D., Paz, J.O., Steward, B.L., Caragea, P.C.

    Published in Agricultural systems (01-09-2006)
    “…A new decision support system called Apollo, which runs the CERES-Maize crop growth model, was used to study the corn ( Zea mays L.) yield response and the…”
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    Journal Article
  4. 4

    Niño-Southern Oscillation (ENSO): Impact on tomato spotted wilt intensity in peanut and the implication on yield by Olatinwo, R.O, Paz, J.O, Kemerait, R.C, Culbreath, A.K, Hoogenboom, G

    Published in Crop protection (2010)
    “…The impact of El Niño - Southern Oscillation (ENSO) on weather patterns could have cascading effects on several diseases of important crops in the southeastern…”
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    Journal Article
  5. 5

    Evaluating Management Zone Optimal Nitrogen Rates with a Crop Growth Model by Miao, Y, Mulla, D.J, Batchelor, W.D, Paz, J.O, Robert, P.C, Wiebers, M

    Published in Agronomy journal (01-05-2006)
    “…Determining MZ (management zone)-specific optimal N rate is a challenge in precision crop management. The objective of this study was to evaluate the potential…”
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    Journal Article
  6. 6

    El Niño-Southern Oscillation (ENSO): Impact on tomato spotted wilt intensity in peanut and the implication on yield by Olatinwo, R.O., Paz, J.O., Kemerait, R.C., Culbreath, A.K., Hoogenboom, G.

    Published in Crop protection (01-05-2010)
    “…The impact of El Niño – Southern Oscillation (ENSO) on weather patterns could have cascading effects on several diseases of important crops in the southeastern…”
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    Journal Article
  7. 7

    Predictive Model for Spotted Wilt Epidemics in Peanut Based on Local Weather Conditions and the Tomato spotted wilt virus Risk Index by Olatinwo, R.O, Paz, J.O, Brown, S.L, Kemerait, R.C. Jr, Culbreath, A.K, Beasley, J.P. Jr, Hoogenboom, G

    Published in Phytopathology (01-10-2008)
    “…Tomato spotted wilt virus (TSWV), a member of the genus Tospovirus (family Bunyaviridae), is an important plant virus that causes severe damage to peanut…”
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    Journal Article
  8. 8

    Weather Research and Forecasting (WRF) model: application in prediction of TSWV-vectors populations by Olatinwo, R.O, Prabha, T, Paz, J.O, Riley, D.G, Hoogenboom, G

    Published in Journal of applied entomology (1986) (01-02-2011)
    “…In the southeastern United States, millions of dollars worth of crop damage associated with tobacco thrips (Frankliniella fusca Hinds) and western flower…”
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    Journal Article
  9. 9

    WebGro: a web-based soybean management decision support system by Paz, J.O, Batchelor, W.D, Pedersen, P

    Published in Agronomy journal (01-11-2004)
    “…WebGro is a web-based soybean Glycine max (L.) Merr. decision support system built on the CROPGRO-Soybean model. The purpose of WebGro is to help soybean…”
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    Journal Article
  10. 10

    Model-based technique to determine variable rate nitrogen for corn by Paz, J.O, Batchelor, W.D, Babcock, B.A, Colvin, T.S, Logsdon, S.D, Kaspar, T.C, Karlen, D.L

    Published in Agricultural systems (01-07-1999)
    “…Past efforts to correlate yield from small field plots to soil type, elevation, fertility, and other factors have been only partially successful for…”
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    Journal Article
  11. 11

    Tools for optimizing management of spatially-variable fields by Booltink, H.W.G, van Alphen, B.J, Batchelor, W.D, Paz, J.O, Stoorvogel, J.J, Vargas, R

    Published in Agricultural systems (01-11-2001)
    “…Efficient use of agro-chemicals is beneficial for farmers as well as for the environment. Spatial and temporal optimization of farm management will increase…”
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    Journal Article