Digitaria sanguinalis 686 claims

species · family Poaceae · green plant · NCBI Taxonomy ↗

Also written in claims: D.sanguinalis · D. sanguinalis L · D. sanguinalis subsp. pectiniformis · D sanguinalis · D.sanguinalis L — NCBI synonyms: Panicum sanguinale

Listed here with its subspecies, varieties and cultivar groups: Digitaria sanguinalis subsp. pectiniformis (3 claims)

57 spellings

Digitaria sanguinalis
Digitaria sanguinalisMatt Lavin from Bozeman, Montana, USA · CC BY-SA 2.0 · Wikimedia Commons ↗
Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

All tested Digitaria sanguinalis populations exhibited resistance to metamifop.

Taxon
Digitaria sanguinalisDigitaria sanguinalist0
Treatment
metamifope1
Outcome
resistance to metamifope1

Verbatim

t0

“Assessment of Digitaria sanguinalis Resistance to Metamifop”

✓ located verbatim in the source · title, characters 0–59
e1

“all tested populations exhibited resistance to metamifop, with GR 50 values ranging from 43.13 to 274.25 g a.i. ha −1 and a resistance index of 2.31–14.71”

✓ located verbatim in the source · abstract, characters 846–1000

Title

Assessment of Digitaria sanguinalis Resistance to Metamifop and Screening of Alternative Herbicides in Dry Direct‐Seeded Rice Fields of Eastern China

Fei Yang; Zhiwen Wu; Mujeeba Fida; et al. Weed Research 2026. doi:10.1111/wre.70046

Other claims from this paper (7)
Observationobservedoriginal resultmeasured

Claim · model-written summary

GR50 values of the Digitaria sanguinalis populations to metamifop ranged from 43.13 to 274.25 g a.i. ha-1.

Taxon
Digitaria sanguinalisDigitaria sanguinalist0
Treatment
metamifope1
Outcome
GR 50 valuese1
Value
43.13 to 274.25 g a.i. ha −1e1

Verbatim

t0

“Assessment of Digitaria sanguinalis Resistance to Metamifop”

✓ located verbatim in the source · title, characters 0–59
e1

“all tested populations exhibited resistance to metamifop, with GR 50 values ranging from 43.13 to 274.25 g a.i. ha −1 and a resistance index of 2.31–14.71”

✓ located verbatim in the source · abstract, characters 846–1000

Title

Assessment of Digitaria sanguinalis Resistance to Metamifop and Screening of Alternative Herbicides in Dry Direct‐Seeded Rice Fields of Eastern China

Fei Yang; Zhiwen Wu; Mujeeba Fida; et al. Weed Research 2026. doi:10.1111/wre.70046

Other claims from this paper (7)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Resistance index of the Digitaria sanguinalis populations to metamifop ranged from 2.31 to 14.71.

Taxon
Digitaria sanguinalisDigitaria sanguinalist0
Treatment
metamifope1
Outcome
resistance indexe1
Value
2.31–14.71e1

Verbatim

t0

“Assessment of Digitaria sanguinalis Resistance to Metamifop”

✓ located verbatim in the source · title, characters 0–59
e1

“all tested populations exhibited resistance to metamifop, with GR 50 values ranging from 43.13 to 274.25 g a.i. ha −1 and a resistance index of 2.31–14.71”

✓ located verbatim in the source · abstract, characters 846–1000

Title

Assessment of Digitaria sanguinalis Resistance to Metamifop and Screening of Alternative Herbicides in Dry Direct‐Seeded Rice Fields of Eastern China

Fei Yang; Zhiwen Wu; Mujeeba Fida; et al. Weed Research 2026. doi:10.1111/wre.70046

Other claims from this paper (7)
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

The JSYC-1 population had the highest resistance and cross-resistance to cyhalofop-butyl and fenoxaprop-p-ethyl.

Taxon
Digitaria sanguinalisDigitaria sanguinalist0
Material
JSYC‐1 populatione2
Outcome
resistance and cross‐resistancee2
Direction
higheste2

Verbatim

t0

“Assessment of Digitaria sanguinalis Resistance to Metamifop”

✓ located verbatim in the source · title, characters 0–59
e2

“The JSYC‐1 population exhibited the highest resistance and cross‐resistance to cyhalofop‐butyl and fenoxaprop‐p‐ethyl”

✓ located verbatim in the source · abstract, characters 1002–1119

Title

Assessment of Digitaria sanguinalis Resistance to Metamifop and Screening of Alternative Herbicides in Dry Direct‐Seeded Rice Fields of Eastern China

Fei Yang; Zhiwen Wu; Mujeeba Fida; et al. Weed Research 2026. doi:10.1111/wre.70046

Other claims from this paper (7)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Bispyribac-sodium, propanil and quintrione showed good inhibitory effects on the JSYC-1 population.

Taxon
Digitaria sanguinalisDigitaria sanguinalist0
Material
JSYC‐1 populatione3
Treatment
Bispyribac‐sodium, propanil and quintrionee3
Outcome
inhibitory effectse3
Direction
goode3

Not reportedComparator

Verbatim

t0

“Assessment of Digitaria sanguinalis Resistance to Metamifop”

✓ located verbatim in the source · title, characters 0–59
e3

“Bispyribac‐sodium, propanil and quintrione showed good inhibitory effects on the JSYC‐1 population”

✓ located verbatim in the source · abstract, characters 1121–1219

Title

Assessment of Digitaria sanguinalis Resistance to Metamifop and Screening of Alternative Herbicides in Dry Direct‐Seeded Rice Fields of Eastern China

Fei Yang; Zhiwen Wu; Mujeeba Fida; et al. Weed Research 2026. doi:10.1111/wre.70046

Other claims from this paper (7)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Binary herbicide combinations had additive or synergistic effects against the JSYC-1 population.

Taxon
Digitaria sanguinalisDigitaria sanguinalist0
Material
JSYC‐1e4
Treatment
Binary combinations of these herbicidese4
Outcome
effectse4
Direction
additive or synergistice4

Not reportedComparator

Verbatim

t0

“Assessment of Digitaria sanguinalis Resistance to Metamifop”

✓ located verbatim in the source · title, characters 0–59
e4

“Binary combinations of these herbicides exhibited additive or synergistic effects against JSYC‐1”

✓ located verbatim in the source · abstract, characters 1221–1317

Title

Assessment of Digitaria sanguinalis Resistance to Metamifop and Screening of Alternative Herbicides in Dry Direct‐Seeded Rice Fields of Eastern China

Fei Yang; Zhiwen Wu; Mujeeba Fida; et al. Weed Research 2026. doi:10.1111/wre.70046

Other claims from this paper (7)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Digitaria sanguinalis root systems increased root-soil cohesion by a maximum of 20.66 kPa over bare soil.

Taxon
Digitaria sanguinalisDigitaria sanguinalise2
Treatment
root systemse1
Outcome
cohesion strengthe2
Direction
increasese2
Value
20.66 kPae2
Comparator
bare soile2

Verbatim

e0

“Cynodon dactylon, Carex breviculmis, and Digitaria sanguinalis”

✓ located verbatim in the source · abstract, characters 223–285
e1

“The root systems of the three plants significantly enhance the soil shear strength at various soil depths”

✓ located verbatim in the source · abstract, characters 599–704
e2

“The cohesion strength of the root–soil composites ranks as Carex breviculmis > Digitaria sanguinalis > Cynodon dactylon, with maximum increases of 54.83 kPa, 20.66 kPa, and 6.5 kPa, respectively, equivalent to 3.16, 1.82, and 1.26 times that of bare soil”

✓ located verbatim in the source · abstract, characters 771–1025

Title

Shore Protection Effect of Vegetation on the Yangtze River Bank Slopes Under a Complex Erosion Environment

Juan Wan; Feng Lv; Henglin Xiao; et al. Applied Sciences 2026. doi:10.3390/app16083677

Other claims from this paper (12)
Associationobservedoriginal resultmeasured

Claim · model-written summary

The reinforcing effect of roots on soil shear strength decreases with increasing soil depth.

Taxon
Cynodon dactylon, Carex breviculmis, and Digitaria sanguinalisCynodon dactylonDigitaria sanguinalisCarex breviculmise0
Treatment
increasing soil depthe1
Outcome
reinforcing effecte1
Direction
decreasese1

Verbatim

e0

“Cynodon dactylon, Carex breviculmis, and Digitaria sanguinalis”

✓ located verbatim in the source · abstract, characters 223–285
e1

“The root systems of the three plants significantly enhance the soil shear strength at various soil depths, but the reinforcing effect decreases with increasing soil depth”

✓ located verbatim in the source · abstract, characters 599–769

Title

Shore Protection Effect of Vegetation on the Yangtze River Bank Slopes Under a Complex Erosion Environment

Juan Wan; Feng Lv; Henglin Xiao; et al. Applied Sciences 2026. doi:10.3390/app16083677

Other claims from this paper (12)
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Digitaria sanguinalis disintegration residual rate fell from 80.18% to 34.34% under dry-wet cycling.

Taxon
Digitaria sanguinalisDigitaria sanguinalise3
Treatment
dry–wet cyclese5
Outcome
disintegration residual ratee3
Direction
decreasede3
Value
80.18% to 34.34%e3

Verbatim

e3

“The disintegration residual rate of Cynodon dactylon and Digitaria sanguinalis decreased from 81.76% to 38.23% and from 80.18% to 34.34%, respectively”

✓ located verbatim in the source · abstract, characters 1149–1299
e5

“Carex breviculmis exhibits the strongest stability and is least affected by dry–wet cycles”

✓ located verbatim in the source · abstract, characters 1379–1469

Title

Shore Protection Effect of Vegetation on the Yangtze River Bank Slopes Under a Complex Erosion Environment

Juan Wan; Feng Lv; Henglin Xiao; et al. Applied Sciences 2026. doi:10.3390/app16083677

Other claims from this paper (12)
Mechanismauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Root-reinforced networks are the main cause of higher bank erosion resistance.

Taxon
Cynodon dactylon, Carex breviculmis, and Digitaria sanguinalisCynodon dactylonDigitaria sanguinalisCarex breviculmise0
Outcome
bank erosion resistancee6
Qualifier
root-reinforced networke6

Verbatim

e0

“Cynodon dactylon, Carex breviculmis, and Digitaria sanguinalis”

✓ located verbatim in the source · abstract, characters 223–285
e6

“The enhancement of bank erosion resistance is mainly attributed to the formation of a root-reinforced network”

✓ located verbatim in the source · abstract, characters 1720–1829

Title

Shore Protection Effect of Vegetation on the Yangtze River Bank Slopes Under a Complex Erosion Environment

Juan Wan; Feng Lv; Henglin Xiao; et al. Applied Sciences 2026. doi:10.3390/app16083677

Other claims from this paper (12)