Abstract
Phenological development affects canopy structure, radiation interception, and dry matter production; most crop simulation models therefore incorporate leaf emergence rate as a basic parameter. A recent study examined leaf emergence rate as a function of temperature and daylength among wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) cultivars. Leaf emergence rate and phyllochron were modeled as functions of temperature alone, daylength alone, and the interaction between temperature and daylength. The resulting equations contained an unwieldy number of constants. Here we simplify by reducing the constants by > 70%, and show leaf emergence rate as a single response surface with temperature and daylength. In addition, we incorporate the effect of photosynthetic photon flux into the model. Generic fits for wheat and barley show cultivar differences less than +/- 5% for wheat and less than +/- 10% for barley. Barley is more sensitive to daylength changes than wheat for common environmental values of daylength, which may be related to the difference in sensitivity to daylength between spring and winter cultivars. Differences in leaf emergence rate between cultivars can be incorporated into the model by means of a single, nondimensional factor for each cultivar.
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Claims 6
Claim · model-written summary
The simplified leaf emergence model reduced the number of constants by more than 70%.
Not reportedTaxon
Verbatim
e0“Here we simplify by reducing the constants by > 70%, and show leaf emergence rate as a single response surface with temperature and daylength.”
Claim · model-written summary
The model incorporates photosynthetic photon flux effects.
- Outcome
- effect of photosynthetic photon fluxe0
Not reportedTaxonComparator
Verbatim
e0“In addition, we incorporate the effect of photosynthetic photon flux into the model.”
Claim · model-written summary
Generic wheat fits show cultivar differences below +/- 5%.
- Taxon
- wheat
Triticum aestivume0 - Outcome
- cultivar differencese0
- Value
- less than +/- 5%e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Generic fits for wheat and barley show cultivar differences less than +/- 5% for wheat and less than +/- 10% for barley.”
Claim · model-written summary
Generic barley fits show cultivar differences below +/- 10%.
- Taxon
- barley
.jpg?width=60)
Hordeum vulgaree0 - Outcome
- cultivar differencese0
- Value
- less than +/- 10%e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
.jpg?width=500)
Verbatim
e0“Generic fits for wheat and barley show cultivar differences less than +/- 5% for wheat and less than +/- 10% for barley.”
Claim · model-written summary
Barley is more sensitive to daylength changes than wheat at common daylength values.
- Taxon
- BarleyHordeum vulgaree0
- Outcome
- sensitive to daylength changese0
- Direction
- more sensitivee0
- Qualifier
- common environmental values of daylengthe0
- Comparator
- wheate0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Barley is more sensitive to daylength changes than wheat for common environmental values of daylength”
Claim · model-written summary
A single nondimensional factor for each cultivar can incorporate cultivar differences in leaf emergence rate.
- Taxon
- Wheat and BarleyHordeum vulgareTriticum aestivumt0
- Outcome
- Differences in leaf emergence rate between cultivarse0
- Value
- a single, nondimensional factore0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Differences in leaf emergence rate between cultivars can be incorporated into the model by means of a single, nondimensional factor for each cultivar.”
t0“Wheat and Barley”