Evaluation of selected nonlinear regression models in quantifying seedling emergence rate of spring wheat

Crop Science

Volumn 36, Issue 1, 1996, Pages 165-168

  Gan, Vantai ^a   Stobbe, Elmer H ^b   Njue, Catherine ^b  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^b UNIVERSITY OF MANITOBA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

TRITICUM AESTIVUM;

EID: 0030038706     PISSN: 0011183X     EISSN: None     Source Type: Journal    
DOI: 10.2135/cropsci1996.0011183X003600010029x     Document Type: Article

References (9)

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2. Blackshaw, R.E. 1991. Soil temperature and moisture effects on downy brome vs. winter canola, wheat, and rye emergence. Crop Sci. 31:1034-1040.
3. Borowiak, D.S. 1989. Model discrimination for non-linear regression models. 1st ed. Marcel Dekker, New York.
4. Can, Y., E.H. Stobbe, and J. Moes. 1992. Relative date of wheat seedling emergence and its impact on grain yield. Crop Sci. 32:1275-1281.
5. Lafond, G.P., and B.D. Fowler. 1989. Soil temperature and water content, seeding depth, and simulated rainfall effects on winter wheat emergence. Agron. J. 81:609-614.
6. SAS Institute, Inc. 1990. SAS user's guide: Statistics. SAS Institute, Cary, NC.
7. Scott, S.J., R.A. Jones, and W.A. William. 1984. Review of data analysis methods for seed germination. Crop Sci. 24:1192-1199.
8. Steel, R.G.D. and D.G. Torrie. 1980. Principles and procedures of statistics; A biometrical approach. 2nd ed. McGraw-Hill, New York.
9. Taylor, H.M. 1983. Managing root systems for efficient water use: An overview, p, 87-109. In H.M. Taylor et al. (ed,) Limitations to efficient water use in crop production. 1st ed. ASA, CSSA, and SSSA, Madison, WI.