Claim · model-written summary
Susceptible cultivars lost 59-61.1% yield relative to resistant cultivars.
- Taxon
- wheat
Triticum aestivume1 - Material
- susceptible cultivarse0
- Outcome
- yielde0
- Direction
- reductione0
- Value
- 59-61.1%e0
- Comparator
- resistant cultivarse0
Not reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The yield reduction in moderate resistant, low resistant and susceptible cultivars as compared to resistant cultivars, varied from 15.9-16.9%, 28.6-34.4% and 59-61.1%, respectively.”
e1“24 wheat cultivars”
Title
RN Singh; P. Krishnan; Vaibhav K. Singh; et al. Scientific Reports 2023. doi:10.1038/s41598-023-45682-3
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.
- 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.
- 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.