Cited by 7Research in Cotton CultivationAgriculture, Soil, Plant ScienceIrrigation Practices and Water Management

Modeling Cotton Lint Development

D. F. Wanjura, O. H. Newton·1981·Transactions of the ASAE

Abstract

ABSTRACT THE development of a cotton lint production model is described for which inputs are mean daily air temperature and the time distribution of the initiation of boll increments. Data from model estimates are com-pared with data on field boll development collected in 1977 and 1978. Daily simulations estimate cumulative lint production potential and the maturity level of each boll increment. Model simulations predict the timing of lint development, and some specific applications of this information in production management are suggested.

Integrity signals

Registry

Crossref · 10.13031/2013.34283

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Wanjura, D. F., & Newton, O. H.
Venue
Transactions of the ASAE
Published
1981
Volume
24
Issue
2
Pages
0496-0499
ISSN
  • 0001-2351 (ISSN-L)
  • 2151-0059
OpenAlex
W2084234116
Cited by
7
References
0
Citations by year
2018: 1 · 2014: 2 · 2013: 1
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
Transactions of the ASAE (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Research in Cotton Cultivation
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Agriculture, Soil, Plant Science
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
Keywords
boll development, ambient temperature effects

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review