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Xiaotao Ding, Liyao Yu, Yuping Jiang, Shaojun Yang, Lizhong He, Qiang Zhou, Jizhu Yu, and Danfeng Huang

, 2006 ) were developed. Xu et al. (2010) integrated some of those parameters and demonstrated the precise prediction of cucumber and pepper growth in a greenhouse ( Xu et al., 2010 ). All of the crop model studies mainly focus on increasing

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Erik Lichtenberg, John Majsztrik, and Monica Saavoss

. Bissey, L. 2010 A Specialty Crops Research Project: Using Wireless Sensor Networks and Crop Modeling for Precision Irrigation and Nutrient Management in Nursery, Greenhouse and Green Roof Systems. Proc. Southern Nursery Assn. Res. Conf. 55

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Arthur Villordon, Ron Sheffield, Jose Rojas, and Yin-Lin Chiu

, respectively ( Villordon et al., 2010 ). Representations of air and soil temperatures as air and soil heat units, respectively, have been used routinely in crop modeling ( Pale et al., 2003 ; Riha et al., 1996 ). The air and soil temperature ranges as well as

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Gabino H. Reginato, Víctor García de Cortázar, and Terence L. Robinson

load for different cultivars can lead to better decisions in the design and establishment of new orchards. Literature Cited Atkins, T.A. 1990 Using crop models to predict orchard profitability Acta Hort. 276 363 370

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Gladis M. Zinati

canopies HortScience 46 163 166 Boote, K.J. Jones, J.W. Pickering, N.B. 1996 Potential uses and limitations of crop models Agron. J. 88 704 716 Boote, K.J. Pickering, N.B. Allen L.H. Jr 1997 Plant modeling: Advances and gaps in our capability to project

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Travis C. Teuton, John C. Sorochan, Christopher L. Main, and Thomas C. Mueller

Hybrid bluegrass, kentucky bluegrass, and tall fescue response to nitrogen fertilization in the transition zone HortScience 42 369 372 Thornley, J.H.M. Johnson, I.R. 1990 Plant and crop modeling: A mathematical approach to plant and crop physiology

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Chen-Yu Lin, Kan-Shu Chen, Hsuan-Ping Chen, Hsiang-I Lee, and Ching-Hsiang Hsieh

.G.H. Bonnema, G. 2018 Effect of ambient temperature fluctuation on the timing of the transition to the generative stage in cauliflower Environ. Exp. Bot. 155 742 750 Uptmoor, R. Schrag, T. Stützel, H. Esch, E. 2008 Crop model based QTL analysis across

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Ockert Greyvenstein, Brent Pemberton, Terri Starman, Genhua Niu, and David Byrne

&M University System 2013 Earth-Kind Roses. 31 Aug. 2013. < http://aggie-horticulture.tamu.edu/earthkindroses/ > Thornley, J.H. Johnson, I.R. 1990 Plant and crop modelling. A mathematical approach to plant and crop physiology. Clarendon Press, Oxford, UK Wahid

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David R. Bryla, Thomas J. Trout, and James E. Ayars

No. 21428 Trout, T. Gartung, G. 2006 Use of crop canopy size to estimate crop coefficients for vegetable crops ASCE Conf. Proc. 200 297 303 Trout, T.J. Johnson, L.F. 2007 Estimating crop water use from remote sensed NDVI, crop models, and reference ET

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Tyler C. Hoskins, James S. Owen Jr., Jeb S. Fields, James E. Altland, Zachary M. Easton, and Alex X. Niemiera

be used in horticultural research to better understand how nutrients move through and leach from soilless substrates during irrigation. Expanding this knowledge base may lead to the refinement of crop models and production practices that improve