View: List Claim type Research area Organism Taxon as written Decade Paper paper W4388129355 ✕
Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat crop 3 Show all 3 → Observation observed original result negative significant (as stated) measured Claim · model-written summary
Yellow rust significantly decrease d wheat leaf area in dex, membrane stability in dex, and relative leaf water content .
leaf area index, membrane stability index, relative leaf water content e0 Verbatim
e0 “there was a significant decrease in crop photosynthesis, transpiration, stomatal conductance, leaf area in dex, membrane stability in dex, relative leaf water content , and normalized difference vegetation in dex due to rust ”
✓ located verbatim in the source · abstract, characters 663–883 e1 “24 wheat cultivars ”
✓ located verbatim in the source · abstract, characters 336–354 Other claims from this paper (11) Association Canopy temperature increased as wheat rust increased. Observation Yellow rust significantly decreased wheat photosynthesis, transpiration, and stomatal conductance. Observation Yellow rust significantly decreased wheat normalized difference vegetation index. Association Reductions in wheat physiological traits were directly correlated with rust severity. Observation Moderately resistant cultivars lost 15.9-16.9% yield relative to resistant cultivars. Observation Low resistant cultivars lost 28.6-34.4% yield relative to resistant cultivars. Observation Susceptible cultivars lost 59-61.1% yield relative to resistant cultivars. Method / resource Machine learning yield estimates became more accurate nearer harvest. Method / resource Cubist, PLS, and SpikeSlab predicted wheat yield effectively at 55-60 days after sowing. Method / resource KNN, Cubist, SLR, RF, SpikeSlab, XGB, GPR, and PLS were useful for wheat yield prediction at 70 days after sowing. Method / resource RF, SpikeSlab, KNN, Cubist, ELNET, GPR, SLR, XGB, and MARS predicted wheat yield well at 80 days after sowing. Observation observed original result negative significant (as stated) measured Claim · model-written summary
Yellow rust significantly decrease d wheat normalized difference vegetation in dex.
normalized difference vegetation index e0 Verbatim
e0 “there was a significant decrease in crop photosynthesis, transpiration, stomatal conductance, leaf area in dex, membrane stability in dex, relative leaf water content , and normalized difference vegetation in dex due to rust ”
✓ located verbatim in the source · abstract, characters 663–883 e1 “24 wheat cultivars ”
✓ located verbatim in the source · abstract, characters 336–354 Other claims from this paper (11) Association Canopy temperature increased as wheat rust increased. Observation Yellow rust significantly decreased wheat photosynthesis, transpiration, and stomatal conductance. Observation Yellow rust significantly decreased wheat leaf area index, membrane stability index, and relative leaf water content. Association Reductions in wheat physiological traits were directly correlated with rust severity. Observation Moderately resistant cultivars lost 15.9-16.9% yield relative to resistant cultivars. Observation Low resistant cultivars lost 28.6-34.4% yield relative to resistant cultivars. Observation Susceptible cultivars lost 59-61.1% yield relative to resistant cultivars. Method / resource Machine learning yield estimates became more accurate nearer harvest. Method / resource Cubist, PLS, and SpikeSlab predicted wheat yield effectively at 55-60 days after sowing. Method / resource KNN, Cubist, SLR, RF, SpikeSlab, XGB, GPR, and PLS were useful for wheat yield prediction at 70 days after sowing. Method / resource RF, SpikeSlab, KNN, Cubist, ELNET, GPR, SLR, XGB, and MARS predicted wheat yield well at 80 days after sowing. Observation observed original result negative significant (as stated) measured Claim · model-written summary
Yellow rust significantly decrease d wheat photosynthesis, transpiration, and stomatal conductance.
crop photosynthesis, transpiration, stomatal conductance e0 Verbatim
e0 “there was a significant decrease in crop photosynthesis, transpiration, stomatal conductance, leaf area in dex, membrane stability in dex, relative leaf water content , and normalized difference vegetation in dex due to rust ”
✓ located verbatim in the source · abstract, characters 663–883 e1 “24 wheat cultivars ”
✓ located verbatim in the source · abstract, characters 336–354 Other claims from this paper (11) Association Canopy temperature increased as wheat rust increased. Observation Yellow rust significantly decreased wheat leaf area index, membrane stability index, and relative leaf water content. Observation Yellow rust significantly decreased wheat normalized difference vegetation index. Association Reductions in wheat physiological traits were directly correlated with rust severity. Observation Moderately resistant cultivars lost 15.9-16.9% yield relative to resistant cultivars. Observation Low resistant cultivars lost 28.6-34.4% yield relative to resistant cultivars. Observation Susceptible cultivars lost 59-61.1% yield relative to resistant cultivars. Method / resource Machine learning yield estimates became more accurate nearer harvest. Method / resource Cubist, PLS, and SpikeSlab predicted wheat yield effectively at 55-60 days after sowing. Method / resource KNN, Cubist, SLR, RF, SpikeSlab, XGB, GPR, and PLS were useful for wheat yield prediction at 70 days after sowing. Method / resource RF, SpikeSlab, KNN, Cubist, ELNET, GPR, SLR, XGB, and MARS predicted wheat yield well at 80 days after sowing. 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.
Triticum aestivume1