Have a personal or library account? Click to login
Parameter Sensitivity and Uncertainty of Radiation Interception Models for Intercropping System Cover

Parameter Sensitivity and Uncertainty of Radiation Interception Models for Intercropping System

Open Access
|Oct 2020

References

  1. [1] Mead R, Willey RW. The concept of a ‘Land Equivalent Ratio’ and advantages in yields from intercropping. Experimental Agricult. 2008;16(3):217-28. DOI: 10.1017/S0014479700010978.10.1017/S0014479700010978
  2. [2] Keating BA, Carberry PS. Resource capture and use in intercropping: solar radiation. Field Crops Res. 1993;34(3):273-301. DOI: 10.1016/0378-4290(93)90118-7.10.1016/0378-4290(93)90118-7
  3. [3] Liu X, Rahman T, Song C, Su B, Yang F, Yong T, et al. Changes in light environment, morphology, growth and yield of soybean in maize-soybean intercropping systems. Field Crops Res. 2017;200:38-46. DOI: 10.1016/j.fcr.2016.10.003.10.1016/j.fcr.2016.10.003
  4. [4] Zhang L, van der Werf W, Bastiaans L, Zhang S, Li B, Spiertz JHJ. Light interception and utilization in relay intercrops of wheat and cotton. Field Crops Res. 2008;107(1):29-42. DOI: 10.1016/j.fcr.2007.12.014.10.1016/j.fcr.2007.12.014
  5. [5] Coll L, Cerrudo A, Rizzalli, R, Monzon JP, Andrade FH. Capture and use of water and radiation in summer intercrops in the south-east Pampas of Argentina. Field Crops Res. 2012;134:105-13. DOI: 10.1016/j.fcr.2012.05.005.10.1016/j.fcr.2012.05.005
  6. [6] Zhou Z, Plauborg F, Kristensen K, Andersen MN. Dry matter production, radiation interception and radiation use efficiency of potato in response to temperature and nitrogen application regimes. Agricult Forest Meteorology. 2017;232:595-605. DOI: 10.1016/j.agrformet.2016.10.017.10.1016/j.agrformet.2016.10.017
  7. [7] Kawasaki Y, Tanaka Y, Katsura K, Purcell LC, Shiraiwa T. Yield and dry matter productivity of Japanese and US soybean cultivars. Plant Production Sci. 2016;19(2):257-66. DOI: 10.1080/1343943X.2015.1133235.10.1080/1343943X.2015.1133235
  8. [8] Sieling K, Böttcher U, Kage H. Dry matter partitioning and canopy traits in wheat and barley under varying N supply. Europ J Agron. 2016;74:1-8. DOI: 10.1016/j.eja.2015.11.022.10.1016/j.eja.2015.11.022
  9. [9] Sadras VO, Villalobos FJ, Fereres E. Radiation Interception, Radiation Use Efficiency and Crop Productivity. In: Principles of Agronomy for Sustainable Agriculture. 2016;169-88. DOI: 10.1007/978-3-319-46116-8_13.10.1007/978-3-319-46116-8_13
  10. [10] Haverkort AJ, Bicamumpaka M. Correlation between intercepted radiation and yield of potato crops infested by Phytophthora infestans in Central Africa. Netherlands J Plant Pathol. 1986;92(5):239-47. DOI: 10.1007/bf01977690.10.1007/BF01977690
  11. [11] Gou F, van Ittersum MK, Simon E, Leffelaar PA, van der Putten PEL, Zhang L, et al. Intercropping wheat and maize increases total radiation interception and wheat RUE but lowers maize RUE. Europ J Agron. 2017;84:125-39. DOI: 10.1016/j.eja.2016.10.014.10.1016/j.eja.2016.10.014
  12. [12] Sinoquet H, Bonhomme R. Modeling radiative transfer in mixed and row intercropping systems. Agricult Forest Meteorol. 1992;62(3):219-40. DOI: 10.1016/0168-1923(92)90016-W.10.1016/0168-1923(92)90016-W
  13. [13] Tsubo M, Walker S. A model of radiation interception and use by a maize-bean intercrop canopy. Agricult Forest Meteorology. 2002;110(3):203-15. DOI: 10.1016/S0168-1923(01)00287-8.10.1016/S0168-1923(01)00287-8
  14. [14] Wang Z, Wu P, Zhao X, Gao Y, Chen X. Water use and crop coefficient of the wheat–maize strip intercropping system for an arid region in northwestern China. Agricult Water Manage. 2015;161:77-85. DOI: 10.1016/j.agwat.2015.07.012.10.1016/j.agwat.2015.07.012
  15. [15] Wang Z, Zhao X, Wu P, He J, Chen X, Gao Y, et al. Radiation interception and utilization by wheat/maize strip intercropping systems. Agricult Forest Meteorology. 2015;204:58-66. DOI: 10.1016/j.agrformet.2015.02.004.10.1016/j.agrformet.2015.02.004
  16. [16] Gijzen H, Goudriaan J. A flexible and explanatory model of light distribution and photosynthesis in row crops. Agricult Forest Meteorology. 1989;48(1):1-20. DOI: 10.1016/0168-1923(89)90004-X.10.1016/0168-1923(89)90004-X
  17. [17] Varella H, Guérif M, Buis S. Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model. Environ Modelling Software. 2010;25(3):310-9. DOI: 10.1016/j.envsoft.2009.09.012.10.1016/j.envsoft.2009.09.012
  18. [18] Gao L, Bryan BA, Nolan M, Connor JD, Song X, Zhao G. Robust global sensitivity analysis under deep uncertainty via scenario analysis. Environ Modelling Software. 2016;76:154-66. DOI: 10.1016/j.envsoft.2015.11.001.10.1016/j.envsoft.2015.11.001
  19. [19] Iooss B, Lemaître P. A Review on Global Sensitivity Analysis Methods. Uncertainty Management in Simulation-Optimization of Complex Systems. 2015;101-22. DOI: 10.1007/978-1-4899-7547-8_5.10.1007/978-1-4899-7547-8_5
  20. [20] Lei G, Zeng W, Zhu J, Zha Y, Fang Y, Song Y, et al. Quantification of leaf growth, height increase, and compensatory root water uptake of sunflower in heterogeneous saline soils. Agronomy J. 2019;111(3):1-18. DOI: 10.2134/agronj2018.06.0418.10.2134/agronj2018.06.0418
  21. [21] Zeng W, Lei G, Zha Y, Fang Y, Wu J, Huang J. Sensitivity and uncertainty analysis of the HYDRUS-1D model for root water uptake in saline soils. Crop Pasture Sci. 2018;69:163-73. DOI: 10.1071/CP17020.10.1071/CP17020
  22. [22] Zhao G, Bryan BA, Song X. Sensitivity and uncertainty analysis of the APSIM-wheat model: Interactions between cultivar, environmental, and management parameters. Ecol Modelling. 2014;279:1-11. DOI: 10.1016/j.ecolmodel.2014.02.003.10.1016/j.ecolmodel.2014.02.003
  23. [23] Brutsaert W. Heat and mass transfer to and from surfaces with dense vegetation or similar permeable roughness. Boundary-Layer Meteorology. 1979;16(4):365-88. DOI: 10.1007/bf02220492.10.1007/BF02220492
  24. [24] Pronk AA, Goudriaan J, Stilma E, Challa H. A simple method to estimate radiation interception by nursery stock conifers: a case study of eastern white cedar. NJAS - Wageningen J Life Sci. 2003;51(3):279-95. DOI: 10.1016/S1573-5214(03)80020-9.10.1016/S1573-5214(03)80020-9
  25. [25] Sobol IM. On sensitivity estimation for nonlinear mathematical models. Keldysh Appl Math Institute. 1990;2(1):112-8. DOI: 10.18287/0134-2452-2015-39-4-459-461.10.18287/0134-2452-2015-39-4-459-461
  26. [26] Wang F, Mladenoff DJ, Forrester JA, Keough C, Parton WJ. Global sensitivity analysis of a modified CENTURY model for simulating impacts of harvesting fine woody biomass for bioenergy. Ecol Modelling. 2013;259:16-23. DOI: 10.1016/j.ecolmodel.2013.03.008.10.1016/j.ecolmodel.2013.03.008
  27. [27] González-Amaro RM, Martínez-Bernal A, Basurto-Peña F, Vibrans H. Crop and non-crop productivity in a traditional maize agroecosystem of the highland of Mexico. J Ethnobiol Ethnomedicine. 2009;5(1):38. DOI: 10.1186/1746-4269-5-38.10.1186/1746-4269-5-38
  28. [28] Shi R, Zhang H, Sun J, Wei G, Zhuang D, Zheng N. Responses of plant biochemical substances to reflectance spectra at leaf and canopy scales. Proc SPIE - Int Soc Optical Eng. 2008;7083. DOI: 10.1117/12.794088.10.1117/12.794088
  29. [29] Sellier JM, Georgieva R, Dimov I. Sensitivity analysis of design parameters for silicon diodes. Numerical Methods Applications. 2014;34-43. DOI: 10.1007/978-3-319-15585-2_410.1007/978-3-319-15585-2_4
  30. [30] Gou F, van Ittersum MK, van der Werf W. Simulating potential growth in a relay-strip intercropping system: Model description, calibration and testing. Field Crops Res. 2017;200:122-42. DOI: 10.1016/j.fcr.2016.09.015.10.1016/j.fcr.2016.09.015
  31. [31] Liu X, Rahman T, Yang F, Song C, Yong T, Liu J, et al. PAR interception and utilization in different maize and soybean intercropping patterns. PLOS ONE 2017;12(1):e0169218. DOI: 10.1371/journal.pone.0169218.10.1371/journal.pone.0169218
  32. [32] Gou F, van Ittersum MK, Wang G, van der Putten PEL, van der Werf W. Yield and yield components of wheat and maize in wheat-maize intercropping in the Netherlands. Europ J Agron. 2016;76:17-27. DOI: 10.1016/j.eja.2016.01.005.10.1016/j.eja.2016.01.005
  33. [33] Wu J, Ding Y, Wang G, Shen Y, Yusuke Y, Jumpei K. Energy balance of irrigated intercropping field in the middle reaches of Heihe River basin. Chin Geograph Sci. 2006;16(3):243-8. DOI: 10.1007/s11769-006-0243-7.10.1007/s11769-006-0243-7
  34. [34] Nassiri Mahallati M, Koocheki A, Mondani F, Feizi H, Amirmoradi S. Determination of optimal strip width in strip intercropping of maize (Zea mays L.) and bean (Phaseolus vulgaris L.) in Northeast Iran. J Cleaner Prod. 2015;106:343-50. DOI: 10.1016/j.jclepro.2014.10.099.10.1016/j.jclepro.2014.10.099
  35. [35] Munz S, Graeff-Hönninger S, Lizaso JI, Chen Q, Claupein W. Modeling light availability for a subordinate crop within a strip-intercropping system. Field Crops Res. 2014;155:77-89. DOI: 10.1016/j.fcr.2013.09.020.10.1016/j.fcr.2013.09.020
  36. [36] Mao L, Zhang L, Evers JB, Henke M, van der Werf W, Liu S, et al. Identification of plant configurations maximizing radiation capture in relay strip cotton using a functional-structural plant model. Field Crops Res. 2016;187:1-11. DOI: 10.1016/j.fcr.2015.12.005.10.1016/j.fcr.2015.12.005
  37. [37] Tang L, Hou C, Huang H, Chen C, Zou J, Lin D. Light interception efficiency analysis based on three-dimensional peach canopy models. Ecol Informatics. 2015;30:60-7. DOI: 10.1016/j.ecoinf.2015.09.012.10.1016/j.ecoinf.2015.09.012
  38. [38] Yang F, Liao D, Wu X, Gao R, Fan Y, Raza MA, et al. Effect of aboveground and belowground interactions on the intercrop yields in maize-soybean relay intercropping systems. Field Crops Res. 2017;203:16-23. DOI: 10.1016/j.fcr.2016.12.007.10.1016/j.fcr.2016.12.007
DOI: https://doi.org/10.2478/eces-2020-0028 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
Language: English
Page range: 437 - 456
Published on: Oct 14, 2020
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Wenzhi Zeng, Yuchao Lu, Amit Kumar Srivastava, Thomas Gaiser, Jiesheng Huang, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.