View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result negative significant (as stated) measured Claim · model-written summary
Predicted DMI was lower than achieved DMI for three of the four tested bermudagrass hays
Qualifierfor three of the four hays e1 Verbatim
e0 “Thirty-two bermudagrass [Cynodon dactylon (L.) Pers.] samples ”
✓ located verbatim in the source · abstract, characters 0–61 e1 “Predicted DMI was lower (P<.05) than achieved for three of the four hays ”
✓ located verbatim in the source · abstract, characters 774–846 Other claims from this paper (3) Method / resource author interpretation original result negative basis n/a Claim · model-written summary
Molecular diagnosis of DMI resistance appears challenging in the pathogen.
Outcomediagnosis of DMI resistance e0 Not reported Comparator Value
Schema note from the model: Method challenge lacks comparator or value
Verbatim
e0 “Development of molecular methods for the diagnosis of DMI resistance seems to be challenging in V. nashicola . ”
✓ located verbatim in the source · abstract, characters 1337–1446 e1 “Asian pears ”
✓ located verbatim in the source · abstract, characters 74–85 Other claims from this paper (4) Method / resource observed original result measured Claim · model-written summary
Calibration equations from odd-numbered samples predicted even-numbered samples for DMI within a standard error of ± 7.9 g.
Verbatim
e0 “samples of ground dry forages ”
✓ located verbatim in the source · abstract, characters 71–100 e1 “within a standard error ”
✓ located verbatim in the source · abstract, characters 1299–1322 e2 “± 7.9 g for DMI ”
✓ located verbatim in the source · abstract, characters 1376–1391 Other claims from this paper (12) Method / resource observed original result positive measured Claim · model-written summary
Within species, WSC best predicted DMI with RSD 5.7 to 7.9.
OutcomeDMI was predicted best by regressions with WSC content e0 Value5.7 to 7.9 DMI units e0 Verbatim
e0 “Within species over all seasons, DMI was predicted best by regressions with WSC content and the RSD had a range of 5.7 to 7.9 DMI units ”
✓ located verbatim in the source · abstract, characters 1488–1623 t0 “pasture species ”
✓ located verbatim in the source · title, characters 67–82 Other claims from this paper (12) Method / resource observed original result positive measured Claim · model-written summary
Within seasons, detergent fibre best predicted DMI with RSD 3.4 to 5.2.
OutcomeDMI was best predicted by regressions with detergent fibre content e0 Value3.4 to 5.2 DMI units e0 Verbatim
e0 “Within seasons, DMI was best predicted by regressions with detergent fibre content and here the RSD had a range of 3.4 to 5.2 DMI units ”
✓ located verbatim in the source · abstract, characters 1351–1486 t0 “pasture species ”
✓ located verbatim in the source · title, characters 67–82 Other claims from this paper (12) Method / resource observed original result measured Claim · model-written summary
DMI could be predicted with 91-93% confidence by the two faecal sampling methods.
Verbatim
e0 “allowed to graze on cenchrus pasture throughout the year ”
✓ located verbatim in the source · abstract, characters 255–311 e5 “The DMI could be predicted with 91-93% confidence by the 2 faecal sampling methods ”
✓ located verbatim in the source · abstract, characters 1174–1256 Other claims from this paper (6) Method / resource observed original result positive measured Claim · model-written summary
The C32/C33 alkane pair gave DMI values near values found in the literature for these steers.
Interactorsteers e0 herbivore Comparatorvalues found in the literature e2 Verbatim
e0 “This trial was conducted to define which alkane (C31 and C33) must be paired with the external marker (C32) to estimate dry matter intake ( DMI ) of steers grazing three tropical grasses ”
✓ located verbatim in the source · abstract, characters 0–184 e2 “C32/C31 underestimated DMI and the pair C32/C33 showed DMI values near to values found in the literature for this steers ”
✓ located verbatim in the source · abstract, characters 1167–1287 Other claims from this paper (3) Method / resource observed original result measured Claim · model-written summary
Seasonal trends in DMI estimated by the two methods were similar.
Outcomeestimation of DMI e4 Comparatorthe 2 methods e4 Verbatim
e0 “allowed to graze on cenchrus pasture throughout the year ”
✓ located verbatim in the source · abstract, characters 255–311 e4 “Similar seasonal trends were observed in estimation of DMI by the 2 methods from total faecal DM voided ”
✓ located verbatim in the source · abstract, characters 1069–1172 Other claims from this paper (6) Method / resource observed original result significant (as stated) measured Claim · model-written summary
The best-fit DMI prediction equation for sheepgrass hay had R2 = 0.85.
Verbatim
e0 “investigate the feeding value of sheepgrass ”
✓ located verbatim in the source · abstract, characters 35–78 e1 “DMI (g/d·W0.75) = 121.75 + 0.06CP (%) − 0.24EE (%) − 0.10ADF (%) − 0.60NDF (%) − 0.15OM (%) (R2 = 0.85, p < 0.01) ”
✓ located verbatim in the source · abstract, characters 681–794 Other claims from this paper (9) Method / resource author interpretation original result basis n/a Claim · model-written summary
The authors conclude that the rVDMD and LR methods estimate similar DMI and DMD in grazing sheep.
Verbatim
e0 “allowed to graze on cenchrus pasture throughout the year ”
✓ located verbatim in the source · abstract, characters 255–311 e6 “Thus it is concluded that rVDMD and LR methods estimate similar DMI and DMD in grazing sheep ”
✓ located verbatim in the source · abstract, characters 1258–1350 Other claims from this paper (6) Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.