Claim · model-written summary
Fields with high ECa variability showed a stronger association between spatial and temporal yield patterns and ECa.
- Taxon
- Cotton
Gossypium hirsutumt0 - Treatment
- high variability in ECae1
- Outcome
- association between spatial and temporal yield patterns and ECae1
- Direction
- strongere1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Irrigated Cotton Yield in the Southern High Plains”
e1“Fields with high variability in ECa exhibited a stronger association between spatial and temporal yield patterns and ECa”
Title
Spatial and Temporal Trends of Irrigated Cotton Yield in the Southern High Plains
Wenxuan Guo Agronomy 2018. doi:10.3390/agronomy8120298
Other claims from this paper (8)
- Observation Spatial and temporal cotton yield variability differed among fields.
- Mechanism Soil properties related to ECa were major factors influencing cotton yield variability.
- Mechanism Spatial and temporal yield patterns in low-variability cotton fields might be more influenced by weather or other factors across seasons.
- Recommendation ECa-based site-specific management is limited to cotton fields with high spatial variability and a strong association between yield and ECa patterns.
- Recommendation Fields with high spatial variability and a clear temporal stability pattern have great potential for long-term site-specific management of crop inputs.
- Recommendation For cotton fields with unstable yield, long-term management practices are difficult to implement.
- Recommendation For cotton fields with unstable yield patterns, within season site-specific management can be a better choice.
- Recommendation Variable rate application of water, plant growth regulators, nitrogen and harvest aids may be implemented based on spatial variability of crop growth conditions.