View: List Claim type Research area Organism Taxon as written Decade Paper Organism: Triticum aestivum ✕
Intervention effect observed original result negative measured Claim · model-written summary
Leaf rust decrease relative water content in wheat by -11.42.
leaf rust e0 pathogen relative water content e0 Not reported Comparator
Verbatim
t0 “BREAD WHEAT ”
✓ located verbatim in the source · title, characters 84–95 e0 “there was -42.92, -23.72, -23.01, and -11.42, % decrease in chlorophyll content , flag leaf area, specific flag leaf area and relative water content in leaf rust (diseased) plot respectively ”
✓ located verbatim in the source · abstract, characters 620–809 Other claims from this paper (8) Intervention effect observed original result negative significant (as stated) measured Claim · model-written summary
Root in oculation significantly decrease d wheat relative leaf water content .
Root inoculation e0 Helminthosporium sativum t0 pathogen relative leaf water content e0 Not reported Comparator
Verbatim
e0 “Root in oculation showed significant decrease in relative leaf water content , whereas root length and root to shoot ratio were also reduced significantly. ”
✓ located verbatim in the source · abstract, characters 657–810 t0 “Helminthosporium sativum in wheat ”
✓ located verbatim in the source · title, characters 87–120 Other claims from this paper (12) Observation observed original result negative measured Claim · model-written summary
In compatible in fection, leaf diffusive resistance, relative water content and turgor potential decrease d during symptom progression.
Stripe Rust t0 pathogen leaf diffusive resistance (LDR), relative water content (RWC) and Ψ p e0 Verbatim
e0 “decrease of leaf diffusive resistance (LDR), relative water content (RWC) and Ψ p from the appearance of rust symptom to the formation of fungal uredia ”
✓ located verbatim in the source · abstract, characters 684–835 t0 “Wheat Leaves in the In fection Process of Stripe Rust ”
✓ located verbatim in the source · title, characters 30–82 Other claims from this paper (13) 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. Intervention effect observed original result measured Claim · model-written summary
Fusarium culmorum in oculation in creased protein content , ash content and flour water absorption relative to the water control.
Fusarium culmorum inoculatione0 protein, ash content, and flour water absorption e0 distilled water e2 Verbatim
e0 “Fusarium culmorum in oculation resulted in an in crease in protein, ash content , and flour water absorption, changes in dough rheological properties, and a decrease in the sedimentation in dex ”
✓ located verbatim in the source · abstract, characters 753–942 t0 “Winter Wheat ”
✓ located verbatim in the source · title, characters 65–77 e2 “distilled water ”
✓ located verbatim in the source · abstract, characters 571–586 Other claims from this paper (6) Intervention effect observed original result negative measured Claim · model-written summary
Leaf rust decrease chlorophyll content in wheat by -42.92.
leaf rust e0 pathogen chlorophyll content e0 Not reported Comparator
Verbatim
t0 “BREAD WHEAT ”
✓ located verbatim in the source · title, characters 84–95 e0 “there was -42.92, -23.72, -23.01, and -11.42, % decrease in chlorophyll content , flag leaf area, specific flag leaf area and relative water content in leaf rust (diseased) plot respectively ”
✓ located verbatim in the source · abstract, characters 620–809 Other claims from this paper (8) Intervention effect observed original result negative measured Claim · model-written summary
Leaf rust decrease flag leaf area in wheat by -23.72.
leaf rust e0 pathogen Not reported Comparator
Verbatim
t0 “BREAD WHEAT ”
✓ located verbatim in the source · title, characters 84–95 e0 “there was -42.92, -23.72, -23.01, and -11.42, % decrease in chlorophyll content , flag leaf area, specific flag leaf area and relative water content in leaf rust (diseased) plot respectively ”
✓ located verbatim in the source · abstract, characters 620–809 Other claims from this paper (8) Intervention effect observed original result negative measured Claim · model-written summary
Leaf rust decrease specific flag leaf area in wheat by -23.01.
leaf rust e0 pathogen specific flag leaf area e0 Not reported Comparator
Verbatim
t0 “BREAD WHEAT ”
✓ located verbatim in the source · title, characters 84–95 e0 “there was -42.92, -23.72, -23.01, and -11.42, % decrease in chlorophyll content , flag leaf area, specific flag leaf area and relative water content in leaf rust (diseased) plot respectively ”
✓ located verbatim in the source · abstract, characters 620–809 Other claims from this paper (8) 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 aestivumt0.jpg?width=60){kind=small}
Fusarium culmorum