Method / resource 133,897 claims

Claim · model-written summary

The automated fluorescence microscopy method reliably separated monocot and dicot plants by genome size, with accuracy close to flow cytofluorometry for dicots and comparable for monocots.

Outcome

accuracye0

Qualifier

close (for dicots) or comparable (for monocots)e0

Comparator

flow cytofluorometrye0

Verbatim

e0

“enables reliable separation of both monocotyledonous and dicotyledonous plants by genome size with an accuracy close (for dicots) or comparable (for monocots) to flow cytofluorometry”

Claim · model-written summary

The 3K array and GBS-based SNPs performed similarly for training population optimization, forward prediction, and univariate and multivariate genomic prediction of forage yield in oat.

Taxon

oatAvena sativat0

Outcome

performancee0

Direction

similare0

Comparator

GBS-based SNPse0

Verbatim

e0

“similar performance of both the 3K array and GBS-based SNPs in terms of training population optimization, forward prediction, and univariate and multivariate genomic prediction of forage yield”

t0

“biomass yield in oat”

Claim · model-written summary

GBLUP, Bayes-B and random forest models gave similar predictive ability for dry matter yield across harvest-year combinations and both marker platforms.

Taxon

oatAvena sativat0

Outcome

predictive ability for dry matter yield (DMY)e0

Direction

similare0

Comparator

Bayes-Be0

Verbatim

e0

“The genomic best linear unbiased prediction (GBLUP), Bayes-B, and random forest models gave similar predictive ability for dry matter yield (DMY)”

t0

“biomass yield in oat”

Claim · model-written summary

Multivariate models with secondary traits gave more than twofold higher predictive abilities than univariate models.

Taxon

oatAvena sativat0

Outcome

predictive abilitiese0

Direction

increasese0

Value

more than twofolde0

Comparator

univariate modelse0

Verbatim

e0

“The multivariate models involving various combinations of secondary traits (simple breeders' field notes and data) resulted in more than twofold increases in predictive abilities compared to the univariate models”

t0

“biomass yield in oat”

Claim · model-written summary

The overlap between top 25% observed and predicted genotypes was higher for multivariate GBLUP models (30.10%-66.99%) than univariate models (27.18%-51.46%).

Taxon

oatAvena sativat0

Outcome

overlap percentagee0

Direction

highere0

Value

30.10%-66.99%e0

Qualifier

27.18%-51.46%e0

Comparator

univariate modelse0

Verbatim

e0

“a higher overlap percentage (30.10%-66.99%) for multivariate GBLUP models compared to the univariate models (27.18%-51.46%)”

t0

“biomass yield in oat”

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”