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Annals of Botany
Article
Data sources: UnpayWall
Annals of Botany
Article . 2003 . Peer-reviewed
Data sources: Crossref
Annals of Botany
Article . 2003
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Incorporating a Chronology Response into the Prediction of Leaf Appearance Rate in Winter Wheat

Authors: Nereu Augusto, Streck; Albert, Weiss; Q, Xue; P Stephen, Baenziger;

Incorporating a Chronology Response into the Prediction of Leaf Appearance Rate in Winter Wheat

Abstract

The prediction of leaf appearance rate (LAR) is an important part of many crop simulation models. Most wheat simulations models assume that LAR is affected by temperature and photoperiod. This assumption ignores the fact that seed reserves contribute to a greater LAR of the first two leaves and that the LAR of subsequent leaves decreases as a result of an increase in the distance that each leaf primordium must extend before it appears. The objective of this study was to develop a generalized LAR chronology response function [f(C)] for wheat that takes into account seed reserves and the increasing distance from the meristem to the whorl for later appearing leaves. This chronology response function was then incorporated into an existing LAR model [Wang and Engel (WE) model; Wang and Engel, 1998, Agricultural Systems 58: 1-24]. This function varied from 0 to 1, being equal to 1 for the first two leaves due to seed reserves, and decreasing (taking the form of a power law) for subsequent leaves. Data from a growth chamber (two cultivars) and several field experiments (four cultivars, two years and eight sowing dates) at Lincoln, Nebraska, USA, were used as independent data to test three LAR models (Miglietta model, Miglietta, 1991, Climate Research 1: 145-150; WE model; and modified WE model). Predictions of the main stem Haun stage, both in the growth chamber and in the field, were greatly improved by incorporating f(C) into the Wang and Engel model. The root mean square error for the field data was 1.1, 0.7, and 0.3 leaves for the Miglietta model, the Wang and Engel model, and the modified Wang and Engel model, respectively.

Keywords

Plant Leaves, Time Factors, Seeds, Computer Simulation, Seasons, Models, Biological, Triticum

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 10%
Top 10%
Top 10%
bronze