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Physiology and modelling of traits in crop plants: implications for genetic improvement

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Boote, K.J., Kropff, M.J., Bindraban, P.S.·2001·Agricultural Systems

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Research works printed but not linked: 42

  1. Batchelor, 1993, Extending the use of crop models to study pest damage, Trans. ASAE, 36, 551, 10.13031/2013.28372 · DOI
  2. Bindraban, P.S., 1997. Bridging the Gap Between Plant Physiology and Breeding. Identifying Traits to Increase Wheat Yield Potential Using Systems Approaches. PhD thesis, Wageningen Agricultural University, Wageningen, The Netherlands.
  3. Bindraban, 1999, Impact of canopy nitrogen profile in wheat on growth, Field Crops Research, 63, 63, 10.1016/S0378-4290(99)00030-1 · doi:10.1016/s0378-4290(99)00030-1
  4. Bindraban, 1998, Identifying factors that determine kernel number in wheat, Field Crops Research, 58, 223, 10.1016/S0378-4290(98)00097-5 · DOI
  5. Boote, K.J., Jones, J.W., 1986. Applications of, and limitations to, crop growth simulation models to fit crops and cropping systems to semi-arid environments. In: Bidinger, F.R., Johansen, C. (Eds.). Drought research priorities for the dryland tropics. International Crops Research Institute for the Semi-Arid Tropics, Pantancheru, A.P. 502 324, India, pp. 63–75.
  6. Boote, K.J., Tollenaar, M., 1994. Modeling genetic yield potential. In: Boote, K.J., Bennett, J.M., Sinclair, T.R., Paulsen, G.M. (Eds.). Physiology and Determination of Crop Yield. ASA-CSSA-SSSA, Madison, WI, USA, pp. 533–565. · DOI
  7. Boote, K.J., Jones, J.W., 1998. Crop modeling and the Soybean Seed Industry. Proceedings, American Seed Trade Association. Washington, DC, USA.
  8. Boote, K.J., Jones, J.W., Hoogenboom, G., 1998. Simulation of crop growth: CROPGRO model. In: Peart, R.M., Curry, R.B. (Eds.). Agricultural systems modeling and simulation. Marcel Dekker, Inc., New York, pp. 651–692. · DOI · Paper page
  9. Buttery, B.R., Buzzell, R.I., Findlay, W.I., 1981. Relationships among photosynthetic rate, bean yield and other characters in field-grown cultivars of soybean. Can. J. Plant Sci. 61, 191–198. · doi:10.4141/cjps81-029
  10. Chapman, S.C., Cooper, M., Hammer, G.L., Butler, D., 2000. Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields. Aust. J. Agric. Res. 51, 209–221. · DOI · Paper page
  11. De Wit, 1983, Crop growth models without hormones, Neth. J. Agric. Sci., 31, 313
  12. Dornhoff, 1970, Varietal differences in net photosynthesis of soybean leaves, Crop Sci., 10, 42, 10.2135/cropsci1970.0011183X001000010016x · doi:10.2135/cropsci1970.0011183x001000010016x
  13. Duncan, 1978, Physiological aspects of peanut yield improvement, Crop Sci., 18, 1015, 10.2135/cropsci1978.0011183X001800060028x · DOI · Paper page
  14. Dunphy, 1979, Soybean yields in relation to days between specific developmental stages, Agron. J., 71, 917, 10.2134/agronj1979.00021962007100060005x · doi:10.2134/agronj1979.00021962007100060005x
  15. Egli, 1984, Genotypic variation for duration of seedfill in soybean, Crop Sci., 24, 587, 10.2135/cropsci1984.0011183X002400030037x · doi:10.2135/cropsci1984.0011183x002400030037x
  16. Elwell, 1987, Determination of potential yield-limiting factors of soybeans using SOYMOD/OARDC, Agric. Systems, 24, 221, 10.1016/0308-521X(87)90005-9 · doi:10.1016/0308-521x(87)90005-9
  17. Grimm, 1993, Parameter estimation for predicting flowering date of soybean cultivars, Crop Sci., 33, 137, 10.2135/cropsci1993.0011183X003300010025x · DOI
  18. Grimm, 1994, Modeling the occurrence of reproductive stages after flowering for four soybean cultivars, Agron. J., 86, 31, 10.2134/agronj1994.00021962008600010007x · DOI
  19. Hammer, 1998, Crop modelling: current status and opportunities to advance, Acta Hort., 456, 27, 10.17660/ActaHortic.1998.456.1 · DOI
  20. Hammer, G.L., Chapman, S.C., Snell, P., 1999. Crop simulation modelling to improve selection efficiency in plant breeding programs. Proceedings of the ninth Assembly Wheat Breeding Society of Australia, Toowoomba, September 1999, pp. 79–85.
  21. Hoogenboom, 1997, Evaluation of a crop simulation model that incorporates gene action, Agronomy J., 89, 613, 10.2134/agronj1997.00021962008900040013x · DOI
  22. Hunt, 1993, GENCALC: software to facilitate the use of crop models for analyzing field experiments, Agron. J., 85, 1090, 10.2134/agronj1993.00021962008500050025x · DOI · Paper page
  23. Hunt, L.A., White, J.W., Hoogenboom, G., 2001. Agronomic data: advances in documentation and protocols for exchange and use. Agric. Systems 70 (2–3), 477–492. · DOI · Paper page
  24. Irmak, 2000, Evaluating methods for simulating soybean cultivar responses using cross validation, Agron. J., 92, 1140, 10.2134/agronj2000.9261140x · DOI
  25. Jackson, 1996, The role of physiological understanding in plant breeding: from a breeding perspective, Field Crops Research, 49, 11, 10.1016/S0378-4290(96)01012-X · DOI · Paper page
  26. Landivar, 1983, Application of GOSSYM to genetic feasibility studies. I. Analyses of fruit abscission and yield in okra-leaf cottons, Crop Sci., 23, 497, 10.2135/cropsci1983.0011183X002300030014x · DOI
  27. Landivar, 1983, Application of GOSSYM to genetic feasibility studies. II. Analyses of increasing photosynthesis, specific leaf weight and longevity of leaves in cotton, Crop Sci., 23, 504, 10.2135/cropsci1983.0011183X002300030015x · DOI
  28. Mavromatis, 2001, Developing genetic coefficients for crop simulation models with data from crop performance trials, Crop Sci., 41, 40, 10.2135/cropsci2001.41140x · DOI
  29. Piper, 1996, Comparison of two phenology models for predicting flowering and maturity date of soybean, Crop Sci., 36, 1606, 10.2135/cropsci1996.0011183X003600060033x · DOI
  30. Sexton, 1998, Evaluation of CROPGRO for prediction of soybean nitrogen balance in a midwestern environment, Trans. ASAE, 41, 1543, 10.13031/2013.17286 · DOI
  31. Shorter, 1991, Improving genotypic adaptation in crops: a role for breeders, physiologists and modellers, Expl. Agric., 27, 155, 10.1017/S0014479700018810 · DOI
  32. Sinclair, 1980, Leaf CER from post-flowering to senescence of field-grown soybean cultivars, Crop Sci., 20, 196, 10.2135/cropsci1980.0011183X002000020012x · doi:10.2135/cropsci1980.0011183x002000020012x
  33. Swank, 1987, Seed growth characteristics of soybean genotypes differing in duration of seed fill, Crop Sci., 27, 85, 10.2135/cropsci1987.0011183X002700010022x · doi:10.2135/cropsci1987.0011183x002700010022x
  34. Wells, 1982, Cultivar differences in canopy apparent photosynthesis and their relationship to seed yield in soybeans, Crop Sci., 22, 886, 10.2135/cropsci1982.0011183X002200040044x · DOI
  35. Whisler, 1986, Crop simulation models in agronomic systems, Adv. in Agron., 40, 141, 10.1016/S0065-2113(08)60282-5 · DOI · Paper page
  36. White, 1996, Simulating effects of genes for physiological traits in a process-oriented crop model, Agron. J., 88, 416, 10.2134/agronj1996.00021962008800030009x · DOI
  37. Wiebold, 1981, Selection for apparent photosynthesis and related leaf traits in early generations of soybeans, Crop Sci., 21, 969, 10.2135/cropsci1981.0011183X002100060039x · doi:10.2135/cropsci1981.0011183x002100060039x
  38. Wilkerson, 1983, Modeling soybean growth for crop management, Trans. of ASAE, 26, 63, 10.13031/2013.33877 · DOI · Paper page
  39. Yin, 1999, The role of ecophysiological models in QTL analysis: the example of specific leaf area in barley, Heredity, 82, 415, 10.1038/sj.hdy.6885030 · DOI
  40. Yin, 1999, AFLP mapping of quantitative trait loci for yield-determining physiological characters in spring barley, Theoretical Applied Genetics, 99, 244, 10.1007/s001220051230 · DOI
  41. Yin, 1997, Optimal preflowering phenology of irrigated rice for high yield potential in three Asian environments: a simulation study, Field Crops Res., 51, 19, 10.1016/S0378-4290(96)01043-X · doi:10.1016/s0378-4290(96)01043-x
  42. Young, 1979, Soybean leaf N as influenced by seedbed preparation methods and stages of growth, Agron. J., 71, 568, 10.2134/agronj1979.00021962007100040012x · doi:10.2134/agronj1979.00021962007100040012x

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Metadata

Authors
Boote, K. J., Kropff, M. J., & Bindraban, P. S.
Venue
Agricultural Systems
Publisher
Elsevier BV
Published
2001-11
Volume
70
Issue
2-3
Pages
395-420
ISSN
0308-521X (ISSN-L)
OpenAlex
W2011497720
Cited by
193
References
1
FWCI
7.95
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Physiology and modelling of traits in crop plants: implications for genetic improvement. https://app.cochat.ai/papers/10.1016/s0308-521x(01)00053-1
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Boote, K. J., Kropff, M. J., & Bindraban, P. S. (2001). Physiology and modelling of traits in crop plants: implications for genetic improvement. Agricultural Systems. https://doi.org/10.1016/s0308-521x(01)00053-1

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