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[Active crop canopy sensor-based nitrogen diagnosis for potato].

Jing Yu1, Fei Li2, Yong-Lin Qin3

  • 1College of Agronomy, Inner Mongolia Agricultural University, Huhhot 010019, China. jingyuhappyday@163.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|February 22, 2014
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Summary
This summary is machine-generated.

This study shows that the GreenSeeker crop sensor effectively estimates potato nitrogen status later in the growing season. NDVI readings correlate with plant nitrogen uptake and concentration, aiding N recommendation development.

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Area of Science:

  • Agronomy
  • Plant Science
  • Soil Science

Background:

  • Optimizing nitrogen (N) fertilization is crucial for potato yield and quality.
  • Accurate estimation of plant N status is needed for site-specific N management.
  • Active canopy sensors offer a potential tool for real-time N assessment.

Purpose of the Study:

  • To evaluate the efficacy of the GreenSeeker active crop canopy sensor for estimating nitrogen status in potato plants.
  • To determine the relationship between Normalized Difference Vegetation Index (NDVI) and potato N uptake and concentration at different growth stages.

Main Methods:

  • Two field experiments were conducted in Inner Mongolia, China, with varying N rates applied to potato crops in 2011.
  • Normalized Difference Vegetation Index (NDVI) was measured using a GreenSeeker sensor.
  • NDVI data were correlated with plant N nutrient indicators, including N uptake and concentration.

Main Results:

  • NDVI showed poor correlation with potato N indicators during the vegetative growth stage due to soil background interference.
  • NDVI was exponentially related to plant N uptake (R² = 0.665) before tuber bulking.
  • NDVI was linearly related to plant N concentration (R² = 0.699) when the crop canopy fully covered the soil.

Conclusions:

  • The GreenSeeker active crop sensor is a promising tool for estimating N status in potato plants.
  • Sensor-based N status estimation is more reliable at later growth stages (tuber bulking and full canopy cover).
  • Findings support the development of N recommendation methods utilizing active crop canopy sensors for potatoes.