Abstract
Abstract Response curves produced when plants are grown on soils treated with different rates of fertilizers are used as the basis for estimating the ratio of the availability coefficient of a nutrient in one fertilizer to that in another. A least squares method is described and illustrated for fitting each of three types of response curves. Concurrent linear response curves are illustrated by data on yield of phosphorus. Parallel linear response curves for log response against log rate of application are illustrated by data on content of radioactive phosphorus. Concurrent Mitscherlich curves with the same initial and limiting responses but different rates of increase are illustrated by data on yield of corn grain.
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Claims 4
Claim · model-written summary
A least-squares method fits three types of plant fertilizer response curves.
Not reportedTaxon
Verbatim
e0“A least squares method is described and illustrated for fitting each of three types of response curves”
t0“Fertilizer Evaluation”
Claim · model-written summary
Concurrent linear curves were illustrated by phosphorus yield data.
Not reportedTaxon
Verbatim
e0“Concurrent linear response curves are illustrated by data on yield of phosphorus”
t0“Fertilizer Evaluation”
Claim · model-written summary
Parallel linear log-response curves were illustrated by radioactive phosphorus content data.
Not reportedTaxon
Verbatim
e0“Parallel linear response curves for log response against log rate of application are illustrated by data on content of radioactive phosphorus”
t0“Fertilizer Evaluation”
Claim · model-written summary
Concurrent Mitscherlich curves were illustrated by corn-grain yield data.
- Taxon
- corn
Zea mays subsp. mayse0 - Outcome
- yield of corn graine0
- Comparator
- Concurrent Mitscherlich curvese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Concurrent Mitscherlich curves with the same initial and limiting responses but different rates of increase are illustrated by data on yield of corn grain”