Claim · model-written summary
A single quadratic regression expressed relative cotton yield against evapotranspiration across two soils, with R2 of 0.78.
- Taxon
- Cotton
Gossypium hirsutumt0 - Outcome
- relative yield as a function of ETe0
- Value
- R 2 = 0.78e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“relative yield as a function of ET with a single quadratic regression equation (R. Y. = −266.4 + 10.72(ET) −0.079(ET) 2 ;R 2 = 0.78)”
t0“Cotton”
Title
Donald W. Grimes; H. Yamada; W. L. Dickens Agronomy Journal 1969. doi:10.2134/agronj1969.00021962006100050035x
Other claims from this paper (5)
- Method / resource Second degree polynomial functions characterized cotton lint yield, evapotranspiration and water use efficiency against irrigation and nitrogen on two soils.
- Association Excessive vegetative growth at high irrigation and nitrogen inputs produced a negative interaction coefficient for cotton lint yield.
- Association Cotton seasonal evapotranspiration increased at a decreasing rate as irrigation increased up to 119 cm.
- Observation Peak daily soil moisture depletion reached 1.07 cm near maximum cotton leaf area.
- Intervention effect Adding nitrogen improved cotton water use efficiency in some cases.