Method / resource 684,532 claims

Claim · model-written summary

EVI, PSSRa, PSSRb and PSSRc functionally assessed the growth status of P. distichum var. indutum under various growing conditions.

Taxon

P. distichum var. indutumPaspalum distichum var. indutume0

Outcome

functionally assessed the growth statuse0

Not reportedComparator

Verbatim

e0

“EVI, PSSRa, PSSRb, and PSSRc functionally assessed the growth status of P. distichum var. indutum under various growing conditions”

Claim · model-written summary

A deep learning model identified Palmer amaranth and waterhemp with 93% accuracy, the most successful among the algorithms explored.

Outcome

accuracye1

Value

93%e1

Verbatim

e1

“Their deep learning model was most successful, achieving 93% accuracy in identifying the two species”

Claim · model-written summary

A genome-wide polymorphic InDel marker set (at least 20 bp) of 182 markers was developed by positional sequence alignment between O. officinalis (CC-genome) and rice cultivars (AA-genome).

Taxon

O. officinalisOryza officinalise0

Outcome

genome-wide polymorphic InDel marker (≥20 bp) sete0

Value

182 markerse0

Comparator

rice cultivarse0

Verbatim

e0

“we developed a genome-wide polymorphic InDel marker (≥20 bp) set comprising 182 markers through positional sequence alignments between O. officinalis (CC-genome) and rice cultivars (AA-genome)”

Claim · model-written summary

The InDel markers were evenly distributed across the 12 rice chromosomes with intervals of about 2 Mb.

Outcome

evenly distributed across the 12 chromosomese0

Value

~2Mb marker intervalse0

Verbatim

e0

“These markers were evenly distributed across the 12 chromosomes, with ~2Mb marker intervals”

Claim · model-written summary

Of the 182 markers, 172 (94.5%) amplified and were polymorphic between rice and the CC-genome accessions, corresponding to an average marker interval of about 2.17 Mb across the rice genome.

Taxon

riceOryza sativae0

Outcome

successfully amplified and exhibited polymorphisme0

Value

172 markers (94.5%)e0

Qualifier

average marker interval of ~2.17Mbe0

Comparator

the CC-genome accessionse0

Verbatim

e0

“Out of 182 markers, 172 markers (94.5%) successfully amplified and exhibited polymorphism between rice and the CC-genome accessions, corresponding to an average marker interval of ~2.17Mb across the rice genome”

Claim · model-written summary

The marker set showed high polymorphism (84.1-92.9%) when applied to BBCC-genome species.

Taxon

BBCC-genome speciese0

Outcome

high polymorphisme0

Value

84.1-92.9%e0

Verbatim

e0

“the marker set also showed high polymorphism (84.1-92.9%) when applied to BBCC-genome species”

Claim · model-written summary

Five markers were selected for species identification within the three CC-genome species.

Taxon

CC-genome speciese0

Outcome

species identificatione0

Value

five markerse0

Verbatim

e0

“five markers were selected for species identification within the three CC-genome species”

Claim · model-written summary

The polymorphic markers successfully detected wild rice introgressions in progenies of wide hybridization.

Taxon

wild riceOryzeaee0

Outcome

successfully detected wild rice introgressionse0

Setting

wide hybridization progeniese0

Not reportedComparator

Verbatim

e0

“the polymorphic markers successfully detected wild rice introgressions from the wide hybridization progenies”

Claim · model-written summary

The SSP prediction tool achieved high predictive accuracy of 99.5% when validated against experimentally confirmed peptides, while maintaining low false-negative rates.

Outcome

predictive accuracye1

Value

99.5%e1

Comparator

experimentally confirmed peptidese0

Verbatim

e0

“When validated against experimentally confirmed peptides”

e1

“achieved high predictive accuracy (99.5%)”

Claim · model-written summary

The tool successfully classified peptides into functionally distinct families such as CLE and RALF.

Outcome

classified peptides into functionally distinct familiese0

Not reportedValue

Verbatim

e0

“The tool successfully classified peptides into functionally distinct families (e.g., CLE, RALF)”