Relationship Between Coefficient of Variation Measured by Spectral Reflectance and Plant Density at Early Growth Stages in Winter Wheat

No abstract is available for this paper.

• Publication year

  2006

• Venue

  Journal of Plant Nutrition

• Publication date

  2006-11-01

• Fields of study

  Agricultural and Food Sciences, Mathematics

• Identifiers
  DOI 10.1080/01904160600927997
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2005cited by this paper
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  2005cited by this paper
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  2003influential reference
• Nitrogen Response Index as a Guide to Fertilizer Management

  2003cited by this paper
• Improving Nitrogen Use Efficiency in Cereal Grain Production with Optical Sensing and Variable Rate Application

  2002cited by this paper
• WITHIN FIELD VARIABILITY IN WHEAT GRAIN YIELDS OVER NINE YEARS IN OKLAHOMA

  2002cited by this paper
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  2001cited by this paper
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  2001cited by this paper
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  2000cited by this paper
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  1999cited by this paper
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  1997cited by this paper
• World agriculture: Towards 2010: (an FAO study) edited by Nikos Alexandratos FAO and John Wiley & Sons, 488 pp, (1995)

  1997cited by this paper
• Movement of nitrate fertilizer to glacial till and runoff from a claypan soil

  1996influential reference
• Influence of controlled drainage-subirrigation on surface and tile drainage nitrate loss

  1996cited by this paper
• Effects of tillage, nitrogen placement, and wheel compaction on denitrification rates in the corn cycle of a corn‐oats rotation

  1994cited by this paper
• Sediment and Nutrient Loss from Clay Soils as Affected by Tillage

  1992cited by this paper
• Nitrogen cycling in a wheat crop: soil, plant, and aerial nitrogen transport

  1987cited by this paper
• Principles and procedures of statistics: A biometrical approach

  1981cited by this paper
• Nitrogen Content of Winter Wheat During Growth and Maturation1

  1976cited by this paper
• Principles and procedures of statistics: McGraw-Hill Book Company, Inc. New York Toronto London.

  1960cited by this paper
• Methods of Statistical Analysis in Economics and Business.

  1953cited by this paper
• Methods of Statistics

  1941cited by this paper

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