Claim · model-written summary
The equation y=128.6112+0.2677x1+0.6178x1x2 was among the more precise calculations.
- Taxon
- peach
Prunus persicat0 - Outcome
- more precisee0
- Qualifier
- y=128.6112+0.2677x1+0.6178x1x2e0
- Comparator
- binary regression equatione0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the computing result of binary regression equation(y=128.6112+0.2677x1+0.6178x1x2) from leaf length added leaf length × leaf width with leaf area and the binary regression equation(y=-59.0612+11.4454x2+0.5823x1x2) from leaf width added leaf length × leaf width leaf area were more precise”
t0“'Cangfangzaosheng' peach”
Title
Study on leaf area regression equation for 'Cangfangzaosheng' peach
Song Xiu-li Guangdong nongye kexue 2011
Other claims from this paper (5)
- Association Leaf area positively correlated with leaf length, width and their product, with coefficients 0.9171, 0.9445 and 0.9753 respectively.
- Association Multiple correlations with leaf area for the three paired predictors were 0.9862, 0.9876 and 0.9876.
- Method / resource Six regression equations were established to calculate peach leaf area.
- Method / resource The equation y=-59.0612+11.4454x2+0.5823x1x2 was among the more precise calculations.
- Recommendation Equation choice should reflect required accuracy and calculation workload.