Canopy cover and leaf area index relationships for wheat, triticale, and corn

Agronomy Journal

Volumn 104, Issue 6, 2012, Pages 1569-1573

  Nielsen, David C ^a   Miceli Garcia, Juan J ^b   Lyon, Drew J ^c  

^a U S DEPARTMENT OF AGRICULTURE   (United States)

^b LI COR BIOSCIENCES   (United States)

^c UNIVERSITY OF NEBRASKA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRITICOSECALE; TRITICUM AESTIVUM; ZEA MAYS;

EID: 84869070054     PISSN: 00021962     EISSN: 14350645     Source Type: Journal    
DOI: 10.2134/agronj2012.0107n     Document Type: Article

References (26)

1. Andarzian, B., M. Bannayan, P. Steduto, H. Mazraeh, M.E. Barati, M.A. Barati, and A. Rahnama. 2011. Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agric. Water Manage. 100:1-8. doi:10.1016/j.agwat.2011.08.023
2. Araya, A., S. Habtu, K.M. Hadgu, A. Kebede, and T. Dejene. 2010. Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agric. Water Manage. 97:1838-1846. doi:10.1016/j.agwat.2010.06.021
3. Booth, D.T., S.E. Cox, and R.D. Berryman. 2006. Point sampling digital imagery with 'SamplePoint'. Environ. Monit. Assess. 123:97-108. doi:10.1007/s10661-005-9164-7
4. Domínguez, A., J.M. Tarjuelo, J.A. de Juan, E. López-Mata, J. Breidy, and F. Karam. 2011. Deficit irrigation under water stress and salinity conditions: The MOPECO-Salt model. Agric. Water Manage. 98:1451-1461. doi:10.1016/j.agwat.2011.04.015
5. FAO. 2012. AquaCrop: FAO crop-model to simulate yield response to water. FAO-Water, Rome. www.fao.org/nr/water/aquacrop.html (accessed 16 May 2012).
6. Farahani, H.J., G. Izzi, and T.Y. Owens. 2009. Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agron. J. 101:469-476. doi:10.2134/agronj2008.0182s
7. Geerts, S., D. Raes, M. Garcia, C. Taboada, R. Miranda, J. Cusicanqui, et al. 2009. Modeling the potential for closing quinoa yield gaps under varying water availability in the Bolivian Altiplano. Agric. Water Manage. 96:1652-1658. doi:10.1016/j.agwat.2009.06.020
8. Hergert, G.W., and T.M. Shaver. 2009. Fertilizing winter wheat. Circ. EC143. Univ. of Nebraska Coop. Ext. Serv., Lincoln. www.ianrpubs.unl.edu/epublic/live/ec143/build/ec143.pdf?redirected=true (accessed 22 May 2012).
9. Hsiao, T.C., L. Heng, P. Steduto, B. Rojas-Lara, D. Raes, and E. Fereres. 2009. AquaCrop-The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agron. J. 101:448-459. doi:10.2134/agronj2008.0218s
10. Lyon, D.J., G.L. Hammer, G.B. McLean, and J.M. Blumenthal. 2003. Simulation supplements field studies to determine no-till dryland corn population recommendations for semiarid western Nebraska. Agron. J. 95:884-891. doi:10.2134/agronj2003.0884
11. Marquardt, D.W. 1963. An algorithm for least squares estimation of parameters. J. Soc. Ind. Appl. Math. 11:431-441. doi:10.1137/0111030
12. National Cooperative Soil Survey. 2006a. Keith series. Natl. Soil Surv. Ctr., Lincoln, NE. https://soilseries.sc.egov.usda.gov/OSD_Docs/K/KEITH. html (accessed 16 May 2012).
13. National Cooperative Soil Survey. 2006b. Weld series. Natl. Soil Surv. Ctr., Lincoln, NE. https://soilseries.sc.egov.usda.gov/OSD_Docs/W/WELD. html (accessed 16 May 2012).
14. Nelson, J.E., K.D. Kephart, A. Bauer, and J.E. Connor. 1988. Growth staging of wheat, barley, and wild oat. Misc. Bull. 4387. Montana State Univ., Bozeman.
15. Nielsen, D.C., S.A. Saseendran, L. Ma, and L.R. Ahuja. 2012. Simulating the production potential of dryland spring canola in the central Great Plains. Agron. J. 104:1182-1188. doi:10.2134/agronj2012.0048
16. Raes, D., P. Steduto, T.C. Hsiao, and E. Fereres. 2009. AquaCrop-The FAO crop model to simulate yield response to water: II. Main algorithms and soft-ware description. Agron. J. 101:438-447. doi:10.2134/agronj2008.0140s
17. Ritchie, S.W., and J.J. Hanway. 1986. How a corn plant develops. Spec. Rep. 48. Iowa State Univ., Ames.
18. Salemi, H., M.A.M. Soom, T.S. Lee, S.F. Mousavi, A. Ganji, and M.K. Yousoff. 2011. Application of AquaCrop model in deficit irrigation management of winter wheat in arid region. Afr. J. Agric. Res. 6010:2204-2215.
19. Saseendran, S.A., L. Ma, D.C. Nielsen, M.F. Vigil, and L.R. Ahuja. 2005. Simulating planting date effects on corn production using RZWQM and CERESMaize models. Agron. J. 97:58-71. doi:10.2134/agronj2005.0058
20. Saseendran, S.A., D.C. Nielsen, D.J. Lyon, L. Ma, D.G. Felter, D.D. Baltensperger, et al. 2009. Modeling responses of dryland spring triticale, proso millet and foxtail millet to initial soil water in the High Plains. Field Crops Res. 113:48-63. doi:10.1016/j.fcr.2009.04.008
21. Saseendran, S.A., D.C. Nielsen, L. Ma, L.R. Ahuja, and A.D. Halvorson. 2004. Modeling nitrogen management effects on winter wheat production using RZWQM and CERES-Wheat. Agron. J. 96:615-630. doi:10.2134/agronj2004.0615
22. Saseendran, S.A., D.C. Nielsen, L. Ma, L.R. Ahuja, and M.F. Vigil. 2010. Simulating alternative dryland rotational cropping systems in the central Great Plains with RZWQM2. Agron. J. 102:1521-1534. doi:10.2134/agronj2010.0141
23. Shapiro, C.A., R.B. Ferguson, G.W. Hergert, C.S. Wortmann, and D.T. Walters. 2008. Fertilizer suggestions for corn. Ext. Circ. EC117. Univ. of Nebraska Coop. Ext. Serv., Lincoln. www.ianrpubs.unl.edu/epublic/live/ec117/build/ec117.pdf (accessed 22 May 2012).
24. SigmaPlot. 2008. SigmaPlot 11 user's guide: Part 1. Systat Soft ware, San Jose, CA.t
25. Staggenborg, S.A., and R.L. Vanderlip. 2005. Crop simulation models can be used as dryland cropping systems research tools. Agron. J. 97:378-384. doi:10.2134/agronj2005.0378
26. Steduto, P. T.C. Hsiao, D. Raes, and E. Fereres. 2009. AquaCrop-The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron. J. 101:426-437. doi:10.2134/agronj2008.0139s