Paper · 2020 · Frontiers in Plant Science

Root Architecture and Functional Traits of Spring Wheat Under Contrasting Water Regimes

Nidia Brunel-Saldias; Juan Pedro Ferrio; Abdelhalim Elazab; et al.

9
claims
15
verbatim quotes
22
citations
2
research areas
✓
Open access · cc-by

Abstract

L.) genotypes under contrasting water regimes (1) to assess genotypic variability in root weight density (RWD) distribution in the soil profile, biomass partitioning, and total water used; and (2) to determine the oxygen and hydrogen isotopic signatures of plant and soil water in order to evaluate the contribution of shallow and deep soil water to plant water uptake and the evaporative enrichment of these isotopes in the leaf as a surrogate for plant transpiration. In the 2015 trial under well-watered (WW) conditions, the aerial biomass (AB) was not significantly different among 15 wheat genotypes, while the total root biomass and the RWD distribution in the soil profile were significantly different. In the 2016 and 2017 trials, a subset of five genotypes from the 2015 trial was grown under WW and WL regimes. The water deficit significantly reduced AB only in 2016. The water regimes did not significantly affect the root biomass and root biomass distribution in the soil depths for both the 2016 and 2017 trials. The study results highlighted that under a WL regime, the production of thinner roots with low biomass is more beneficial for increasing the water uptake than the production of large thick roots. The models applied to estimate the relative contribution of the plant's primary water sources (shallow or deep soil water) showed large interindividual variability in soil, and plant water isotopic composition resulted in large uncertainties in the model estimates. On the other side, the combined information of root architecture and the leaf stable isotope signatures could explain plant water status.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 9

Observationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Aerial biomass did not differ significantly among 15 wheat genotypes under well-watered conditions in 2015.

Outcome
aerial biomass (AB)e0
Direction
not significantly differente0
Value
15 wheat genotypese0
Qualifier
2015 trial under well-watered (WW) conditionse0

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

“In the 2015 trial under well-watered (WW) conditions, the aerial biomass (AB) was not significantly different among 15 wheat genotypes, while the total root biomass and the RWD distribution in the soil profile were significantly different.”

✓ located verbatim in the source · abstract, characters 470–709 · show in text ↑
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Total root biomass differed significantly among wheat genotypes under well-watered conditions in 2015.

Outcome
total root biomasse0
Direction
significantly differente0
Qualifier
2015 trial under well-watered (WW) conditionse0

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

“In the 2015 trial under well-watered (WW) conditions, the aerial biomass (AB) was not significantly different among 15 wheat genotypes, while the total root biomass and the RWD distribution in the soil profile were significantly different.”

✓ located verbatim in the source · abstract, characters 470–709 · show in text ↑
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Root weight density distribution differed significantly among wheat genotypes under well-watered conditions in 2015.

Outcome
RWD distribution in the soil profilee0
Direction
significantly differente0

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

“In the 2015 trial under well-watered (WW) conditions, the aerial biomass (AB) was not significantly different among 15 wheat genotypes, while the total root biomass and the RWD distribution in the soil profile were significantly different.”

✓ located verbatim in the source · abstract, characters 470–709 · show in text ↑
Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Water deficit significantly reduced wheat aerial biomass in 2016 only.

Treatment
water deficite0
Outcome
ABe0
Direction
reducede0
Qualifier
only in 2016e0

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

“The water deficit significantly reduced AB only in 2016.”

✓ located verbatim in the source · abstract, characters 821–877 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 50–55 · show in text ↑
Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Water regimes did not significantly affect wheat root biomass in 2016 or 2017.

Treatment
water regimese0
Outcome
root biomasse0
Direction
did not significantly affecte0

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

“The water regimes did not significantly affect the root biomass and root biomass distribution in the soil depths for both the 2016 and 2017 trials.”

✓ located verbatim in the source · abstract, characters 878–1025 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 50–55 · show in text ↑
Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Water regimes did not significantly affect wheat root biomass distribution in 2016 or 2017.

Treatment
water regimese0
Outcome
root biomass distribution in the soil depthse0
Direction
did not significantly affecte0

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

“The water regimes did not significantly affect the root biomass and root biomass distribution in the soil depths for both the 2016 and 2017 trials.”

✓ located verbatim in the source · abstract, characters 878–1025 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 50–55 · show in text ↑
Associationauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Under water limitation, thinner low-biomass roots were more beneficial for water uptake than large thick roots.

Organ / stage
thinner roots with low biomasse0
Outcome
water uptakee0
Direction
increasinge0
Comparator
large thick rootse0

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

“The study results highlighted that under a WL regime, the production of thinner roots with low biomass is more beneficial for increasing the water uptake than the production of large thick roots.”

✓ located verbatim in the source · abstract, characters 1026–1221 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 50–55 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Models of shallow and deep water contributions had large uncertainty due to interindividual isotope variability.

Outcome
large uncertainties in the model estimatese0

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

“The models applied to estimate the relative contribution of the plant's primary water sources (shallow or deep soil water) showed large interindividual variability in soil, and plant water isotopic composition resulted in large uncertainties in the model estimates.”

✓ located verbatim in the source · abstract, characters 1222–1487 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 50–55 · show in text ↑
Associationauthor interpretationoriginal resultmeasured

Claim · model-written summary

Root architecture and leaf isotope signatures together explained plant water status.

Organ / stage
root architecture and the leaf stable isotope signaturese0
Outcome
plant water statuse0

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

“On the other side, the combined information of root architecture and the leaf stable isotope signatures could explain plant water status.”

✓ located verbatim in the source · abstract, characters 1488–1625 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 50–55 · show in text ↑

irrigation · growth · Triticum aestivum (wheat)Positive and negative results

242 papers: 177 positive, 65 negative or no effect

64 papers in the same direction as this paper · 177 in the opposite direction

  1. positive
  2. positive
  3. positive

238 papers more in this group

See all 242 papers →

drought · growth · Triticum aestivum (wheat)Positive and negative results

431 papers: 86 positive, 345 negative or no effect

344 papers in the same direction as this paper · 86 in the opposite direction

  1. positive
  2. positive
  3. positive

427 papers more in this group

See all 431 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.