Paper · 2016 · Frontiers in Plant Science

Non-destructive Assessment of Plant Nitrogen Parameters Using Leaf Chlorophyll Measurements in Rice

Syed Tahir Ata-Ul-Karim; Qiang Cao; Yan Zhu; et al.

5
claims
11
verbatim quotes
96
citations
3
research areas
✓
Open access · cc-by

Abstract

Non-destructive assessment of plant nitrogen (N) status is essential for efficient crop production and N management in intensive rice (Oryza sativa L.) cropping systems. Chlorophyll meter (SPAD-502) has been widely used as a rapid, non-destructive and cost-effective diagnostic tool for in-season assessment of crop N status. The present study was intended to establish the quantitative relationships between chlorophyll meters readings, plant N concentration (PNC), N nutrition index (NNI), accumulated N deficit (AND), and N requirement (NR), as well as to compare the stability of these relationships at different vegetative growth stages in Japonica and Indica rice cultivars. Seven multi-locational field experiments using varied N rates and seven rice cultivars were conducted in east China. The results showed that the PNC and chlorophyll meters readings increased with increasing N application rates across the cultivars, growing seasons, and sites. The PNC and chlorophyll meters readings under varied N rates ranged from 2.29 to 3.21, 1.06 to 1.82 and 37.10 to 45.4 and 37.30 to 46.6, respectively, at TL and HD stages for Japonica rice cultivars, while they ranged from 2.25 to 3.23, 1.34 to 1.91 and 35.6 to 43.3 and 37.3 to 45.5 for Indica rice cultivars, respectively. The quantitative relationships between chlorophyll meters readings, PNC, NNI, AND, and NR established at different crop growth stages in two rice ecotypes, were highly significant with R2 values ranging from 0.69 to 0.93 and 0.71 to 0.86 for Japonica and Indica rice, respectively. The strongest relationships were observed for AND and NR at panicle initiation and booting stages in both rice ecotypes. The validation of the relationships developed in the present study with an independent data exhibited a solid model performance and confirmed their robustness as a reliable and rapid diagnostic tool for in-season estimation of plant N parameters for sustainable N management in rice. The results of this study will offer a suitable approach for managing N application precisely during the growth period of the rice crop in intensive rice cropping systems in east China.

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Claims 5

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Plant N concentration and chlorophyll meter readings increased with increasing N application rates across cultivars, seasons and sites.

Treatment
increasing N application ratese2
Outcome
PNC and chlorophyll meters readingse2
Direction
increasede2
Setting
east Chinae1

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

t0

“Measurements in Rice”

✓ located verbatim in the source · title, characters 79–99 · show in text ↑
e1

“Seven multi-locational field experiments using varied N rates and seven rice cultivars were conducted in east China”

✓ located verbatim in the source · abstract, characters 681–796 · show in text ↑
e2

“The results showed that the PNC and chlorophyll meters readings increased with increasing N application rates across the cultivars, growing seasons, and sites”

✓ located verbatim in the source · abstract, characters 798–956 · show in text ↑
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Quantitative relationships between chlorophyll meter readings, PNC, NNI, AND and NR were highly significant, with R2 of 0.69 to 0.93 in Japonica and 0.71 to 0.86 in Indica rice.

Material
Japonica and Indica ricee3
Organ / stage
different crop growth stagese3
Outcome
quantitative relationships between chlorophyll meters readings, PNC, NNI, AND, and NRe3
Value
0.69 to 0.93 and 0.71 to 0.86e3

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

t0

“Measurements in Rice”

✓ located verbatim in the source · title, characters 79–99 · show in text ↑
e3

“The quantitative relationships between chlorophyll meters readings, PNC, NNI, AND, and NR established at different crop growth stages in two rice ecotypes, were highly significant with R2 values ranging from 0.69 to 0.93 and 0.71 to 0.86 for Japonica and Indica rice, respectively”

✓ located verbatim in the source · abstract, characters 1283–1563 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

The strongest relationships in rice were for AND and NR at panicle initiation and booting stages in both ecotypes.

Material
both rice ecotypese4
Organ / stage
panicle initiation and booting stagese4
Outcome
AND and NRe4

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

t0

“Measurements in Rice”

✓ located verbatim in the source · title, characters 79–99 · show in text ↑
e4

“The strongest relationships were observed for AND and NR at panicle initiation and booting stages in both rice ecotypes”

✓ located verbatim in the source · abstract, characters 1565–1684 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The validation with independent data showed solid model performance, confirming the relationships as a reliable and rapid diagnostic tool for in-season estimation of plant N parameters in rice.

Outcome
model performancee5
Comparator
an independent datae5

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

t0

“Measurements in Rice”

✓ located verbatim in the source · title, characters 79–99 · show in text ↑
e5

“The validation of the relationships developed in the present study with an independent data exhibited a solid model performance and confirmed their robustness as a reliable and rapid diagnostic tool for in-season estimation of plant N parameters”

✓ located verbatim in the source · abstract, characters 1686–1931 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The relationships offer a suitable approach for managing N application precisely during the rice growth period.

Outcome
managing N applicatione6

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

t0

“Measurements in Rice”

✓ located verbatim in the source · title, characters 79–99 · show in text ↑
e6

“The results of this study will offer a suitable approach for managing N application precisely during the growth period of the rice crop”

✓ located verbatim in the source · abstract, characters 1970–2105 · show in text ↑

nitrogen · nutrient: content · Oryza sativa (rice)Positive and negative results

464 papers: 409 positive, 55 negative or no effect

408 papers in the same direction as this paper · 52 in the opposite direction · 3 reporting no difference from an alternative

  1. positive
  2. negative
  3. no effect

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See all 464 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.