Paper · 2014 · Agronomy Journal

The Effectiveness of Three Vegetation Indices Obtained from a Canopy Sensor in Identifying Sugarcane Response to Nitrogen

Lucas Rios do Amaral; José Paulo Molin

5
claims
9
verbatim quotes
40
citations
2
research areas
—
Not open access

Abstract

Methods for estimating the N response of sugarcane ( Saccharum spp.) while considering a variable rate of N application are required to allow for improved nitrogen use efficiency (NUE) and higher yields. The objectives of this work were to compare the performance of three vegetation indices obtained from canopy sensor data to assess N in sugarcane fields at various crop stalk height as well as to determine the ability of these in‐season sensor readings to predict the response of yield to N. Seven experiments were conducted in Brazil under different site conditions from 2009 to 2011. The treatments comprised five N application rates ranging from 0 to 200 kg N ha –1 . A CropCircle canopy sensor (model ACS‐210, Holland Scientific Inc., Lincoln, NE) was used to determine the amber normalized difference vegetation index ( a NDVI), chlorophyll index (CI), and inverse of the simple ratio (ISR) at different crop stalk heights. The N application increased the yield in only three fields ( p < 0.1). The best results using the canopy sensor readings, chlorophyll and leaf N content were found when the average crop stalk height was between 0.4 and 0.7 m. A weak relationship was observed between the vegetation indices and N from tissue analyses. The best results were obtained with the ISR due to its high r 2 , low root mean square error (RMSE), and consequently higher SEq with respect to sugarcane yield. The canopy reflectance sensor is a useful tool for identifying the variability within fields and to determine the variable rate of in‐season N fertilizer application in sugarcane fields.

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Claims 5

Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Nitrogen increased sugarcane yield in only three fields.

Taxon
Sugarcanet0
Treatment
N applicatione0
Outcome
yielde0
Direction
increasede0
Qualifier
only three fieldse0

Not reportedComparator

Verbatim

e0

“The N application increased the yield in only three fields ( p < 0.1).”

✓ located verbatim in the source · abstract, characters 933–1003 · show in text ↑
t0

“Sugarcane”

✓ located verbatim in the source · title, characters 91–100 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Sensor readings, chlorophyll and leaf nitrogen content performed best at stalk heights of 0.4 to 0.7 m.

Taxon
Sugarcanet0
Organ / stage
crop stalke0
Outcome
best results using the canopy sensor readings, chlorophyll and leaf N contente0
Value
between 0.4 and 0.7 me0

Verbatim

e0

“The best results using the canopy sensor readings, chlorophyll and leaf N content were found when the average crop stalk height was between 0.4 and 0.7 m.”

✓ located verbatim in the source · abstract, characters 1004–1158 · show in text ↑
t0

“Sugarcane”

✓ located verbatim in the source · title, characters 91–100 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Vegetation indices were weakly related to tissue nitrogen.

Taxon
Sugarcanet0
Outcome
N from tissue analysese0
Comparator
vegetation indicese0

Not reportedDirection

Verbatim

e0

“A weak relationship was observed between the vegetation indices and N from tissue analyses.”

✓ located verbatim in the source · abstract, characters 1159–1250 · show in text ↑
t0

“Sugarcane”

✓ located verbatim in the source · title, characters 91–100 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

ISR gave the best canopy sensor prediction results for sugarcane yield.

Taxon
Sugarcanet0
Outcome
best resultse0
Qualifier
high r 2 , low root mean square error (RMSE), and consequently higher SEqe0
Comparator
ISRe0

Verbatim

e0

“The best results were obtained with the ISR due to its high r 2 , low root mean square error (RMSE), and consequently higher SEq with respect to sugarcane yield.”

✓ located verbatim in the source · abstract, characters 1251–1412 · show in text ↑
t0

“Sugarcane”

✓ located verbatim in the source · title, characters 91–100 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The canopy reflectance sensor was considered useful for within-field variability and variable-rate nitrogen application.

Taxon
sugarcanee0
Outcome
identifying the variability within fields and to determine the variable rate of in‐season N fertilizer applicatione0

Verbatim

e0

“The canopy reflectance sensor is a useful tool for identifying the variability within fields and to determine the variable rate of in‐season N fertilizer application in sugarcane fields.”

✓ located verbatim in the source · abstract, characters 1413–1599 · show in text ↑

nitrogen · yield · Saccharum officinarum (sugarcane)Results differ

137 papers: 118 positive, 19 negative or no effect

117 papers in the same direction as this paper · 15 in the opposite direction · 4 reporting no difference from an alternative

  1. negative
  2. no effect
  3. negative

133 papers more in this group

See all 137 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.