Paper · 2001 · Phytopathology

Influence of Take-All Epidemics on Winter Wheat Yield Formation and Yield Loss

Alexandra Schoeny; Marie-Hélène Jeuffroy; Philippe Lucas

5
claims
9
verbatim quotes
60
citations
3
research areas
—
Not open access

Abstract

ABSTRACT The effects of take-all epidemics on winter wheat yield formation were determined, and disease-yield relationships were established to assess the agronomic efficacy and economic benefits of control methods. Epidemics were generated in naturally infested fields by varying cropping season, crop order in the rotation, and experimental fungicide seed treatment. Disease incidence and severity were assessed from tillering to flowering. Yield components were measured at harvest. Models simulating the formation of the yield components in the absence of limiting factors were used to estimate the losses caused by take-all. Losses were predicted by the disease level at a specific time or the area under the disease progress curve, reflecting accumulation during a specific period. Losses of grain number per square meter and 1,000-grain weight were linked to cumulative disease incidence between the beginning of stem elongation and flowering, and disease incidence at midstem elongation, respectively. Yield losses were accounted for by both cumulative disease incidence between sowing and flowering, and disease incidence at midstem elongation. Results confirm the importance of nitrogen fertilization in reducing the impact of take-all on wheat.

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Claims 5

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Models predicted losses using disease level at a particular time or the disease progress curve.

Taxon
winter wheatTriticum aestivumt0
Interactor
take-allt0pathogen
Outcome
Lossese0
Comparator
disease level at a specific time or the area under the disease progress curvee0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Losses were predicted by the disease level at a specific time or the area under the disease progress curve”

✓ located verbatim in the source · abstract, characters 630–736 · show in text ↑
t0

“take-all epidemics on winter wheat”

✓ located after whitespace/quote normalisation · title, characters 13–47 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Grain number loss was linked to cumulative incidence from stem elongation to flowering.

Taxon
winter wheatTriticum aestivumt0
Interactor
take-allt0pathogen
Outcome
Losses of grain number per square metere0
Direction
linkede0
Comparator
cumulative disease incidence between the beginning of stem elongation and floweringe0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Losses of grain number per square meter and 1,000-grain weight were linked to cumulative disease incidence between the beginning of stem elongation and flowering, and disease incidence at midstem elongation, respectively”

✓ located verbatim in the source · abstract, characters 788–1008 · show in text ↑
t0

“take-all epidemics on winter wheat”

✓ located after whitespace/quote normalisation · title, characters 13–47 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Thousand grain weight loss was linked to disease incidence at mid stem elongation.

Taxon
winter wheatTriticum aestivumt0
Interactor
take-allt0pathogen
Outcome
1,000-grain weighte0
Direction
linkede0
Comparator
disease incidence at midstem elongatione0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Losses of grain number per square meter and 1,000-grain weight were linked to cumulative disease incidence between the beginning of stem elongation and flowering, and disease incidence at midstem elongation, respectively”

✓ located verbatim in the source · abstract, characters 788–1008 · show in text ↑
t0

“take-all epidemics on winter wheat”

✓ located after whitespace/quote normalisation · title, characters 13–47 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Yield losses were explained by cumulative incidence through flowering and mid stem elongation incidence.

Taxon
winter wheatTriticum aestivumt0
Interactor
take-allt0pathogen
Outcome
Yield lossese0
Comparator
cumulative disease incidence between sowing and flowering, and disease incidence at midstem elongatione0

Not reportedDirection

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Yield losses were accounted for by both cumulative disease incidence between sowing and flowering, and disease incidence at midstem elongation”

✓ located verbatim in the source · abstract, characters 1010–1152 · show in text ↑
t0

“take-all epidemics on winter wheat”

✓ located after whitespace/quote normalisation · title, characters 13–47 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Nitrogen fertilization reduced the impact of take-all on wheat.

Treatment
nitrogen fertilizatione0
Interactor
take-alle0pathogen
Outcome
impact of take-all on wheate0
Direction
reducinge0

Not reportedComparator

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“nitrogen fertilization in reducing the impact of take-all on wheat”

✓ located verbatim in the source · abstract, characters 1188–1254 · show in text ↑

fertilization · organism · Triticum aestivum (wheat)Positive and negative results

125 papers: 98 positive, 27 negative or no effect

97 papers in the same direction as this paper · 25 in the opposite direction · 2 reporting no difference from an alternative

  1. negative
  2. no effect
  3. no effect

121 papers more in this group

See all 125 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.