View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result no effect measured 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.
ComparatorGBS-based SNPs e0 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 ”
✓ located verbatim in the source · abstract, characters 702–894 t0 “biomass yield in oat ”
✓ located verbatim in the source · title, characters 114–134 Other claims from this paper (4) Method / resource observed original result no effect measured 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.
Outcomepredictive ability for dry matter yield (DMY) e0 Verbatim
e0 “The genomic best linear unbiased prediction (GBLUP), Bayes-B, and random forest models gave similar predictive ability for dry matter yield (DMY) ”
✓ located verbatim in the source · abstract, characters 896–1041 t0 “biomass yield in oat ”
✓ located verbatim in the source · title, characters 114–134 Other claims from this paper (4) Method / resource observed original result no effect measured Claim · model-written summary
The choice of scoring model (linear, non-linear or membership function) had a minimal effect on the final SQI results.
Outcomefinal SQI results e0 Comparatorscoring model e0 Verbatim
t0 “Miscanthus cultivation enhances soil quality ”
✓ located verbatim in the source · title, characters 10–54 e0 “the choice of scoring model had a minimal effect on the final SQI results ”
✓ located verbatim in the source · abstract, characters 843–916 Other claims from this paper (10) Method / resource observed original result no effect measured Claim · model-written summary
For the linearly interpolated dataset, the predictive performance of the feature-fusion strategy was comparable across the three models.
Outcomepredictive performance e1 Comparatorthe three models e1 Verbatim
e1 “the predictive performance of the feature-fusion strategy was comparable across the three models ”
✓ located verbatim in the source · abstract, characters 2327–2423 Other claims from this paper (12) Method / resource observed original result no effect measured Claim · model-written summary
Across side and front overlap combinations at 60–120 m, reduced overlaps produced RMSE values comparable to full overlaps.
Comparatorfull overlaps e0 Verbatim
e0 “reduced overlaps produced RMSE values comparable to full overlaps ”
✓ located verbatim in the source · abstract, characters 1283–1348 e1 “corn, cotton, sorghum, and soybean ”
✓ located verbatim in the source · abstract, characters 710–744 Other claims from this paper (7) Method / resource observed original result no effect measured Claim · model-written summary
Canopy height from day and night LiDAR flights differed very little (change in R2 at most 0.01) and was highly replicable.
Qualifierhighly replicable e0 Comparatorday and night flights e0 Verbatim
e0 “When comparing between LiDAR data collected during day and night flights, CH showed very little difference (Δ R 2 ≤0.01) and were found to be highly replicable ”
✓ located verbatim in the source · abstract, characters 1143–1302 e1 “multi-planting date (seven dates) corn experiments conducted in Temple, Texas ”
✓ located verbatim in the source · abstract, characters 887–964 Other claims from this paper (4) Method / resource observed original result no effect measured Claim · model-written summary
For selection, differences among second-stage models were minor.
Outcomedifferences among second-stage models e1 Verbatim
e1 “For selection, differences among second-stage models were minor ”
✓ located verbatim in the source · abstract, characters 1404–1467 t0 “sweetpotato ”
✓ located verbatim in the source · title, characters 10–21 Other claims from this paper (6) Method / resource observed original result no effect measured Claim · model-written summary
Using the complete dataset, differences between entries in prediction were marginal.
Outcomedifferences between entries e1 Verbatim
e1 “Using the complete dataset, differences between entries were marginal ”
✓ located verbatim in the source · abstract, characters 1685–1754 t0 “sweetpotato ”
✓ located verbatim in the source · title, characters 10–21 Other claims from this paper (6) Method / resource observed original result no effect not significant (as stated) measured Claim · model-written summary
DBH showed no significant difference between P2U MLS and RTC360 TLS.
TaxonUrban Street Trees t0 Directionno significant difference e1 Verbatim
t0 “Inter-Sensor Error Analysis between TLS and MLS for Urban Street Trees toward Digital Twin Development ”
✓ located verbatim in the source · title, characters 0–102 e0 “P2U tended to underestimate TreeHeight and crown-related metrics compared with RTC360 (Δ TreeHeight=−1.02m; ΔCrownVolume=−103.38m³ ) ”
✓ located verbatim in the source · abstract, characters 753–885 e1 “while DBH showed no significant difference (Wilcoxon p=0.6078) ”
✓ located verbatim in the source · abstract, characters 887–949 Other claims from this paper (6) Method / resource observed original result no effect measured Claim · model-written summary
The machine learning model maintained a heritability for blackleg resistance similar to that of expert raters.
Qualifierblackleg resistance trait e2 Comparatorexpert raters e2 Verbatim
e1 “infected canola ( Brassica napus L., Brassica rapa L ., Brassica juncea L .) ”
✓ located verbatim in the source · abstract, characters 99–175 e2 “while maintaining a similar heritability as expert raters for the blackleg resistance trait ”
✓ located verbatim in the source · abstract, characters 1081–1172 Other claims from this paper (3) 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.