lpmorenoc / dssat-csm-os

DSSAT Cropping System Model
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Add algorithms to define the percentage of dry matter in the storage roots #37

Closed lpmorenoc closed 3 years ago

lpmorenoc commented 3 years ago

This could be related to the issue https://github.com/lpmorenoc/dssat-csm-os/issues/24 and would require a state variable for the fresh weight with reduced dry matter when there is remobilization of assimilates

lpmorenoc commented 3 years ago

(Comments from James): • Cultivar is the single most important determinant of dry matter, furthermore there is little GxE interaction. This lack of GxE suggests that most varieties respond similarly to variation in growing conditions. This makes life easy for us, although there may actually be more GxE than we think. (Anecdotal evidence suggests that in some varieties the decrease in starch is more marked than in other at the beginning of the rainy season. However, our proposal will likely support this as those varieties that produce a greater flush of new leaves will also have a greater drop in reserves). • As mean temperature increases starch content decreases. • After a drought period there is a flush of new leaf growth when it rains. This flush of new growth is supported by translocation of carbohydrate reserves from the roots and the starch content of the roots decreases.

lpmorenoc commented 3 years ago

New variable with fresh weight of the roots: image

lpmorenoc commented 3 years ago

Now we can generate a % of dry matter variable 63485cb: image

For this specific experiment/variety there is a reduction of dry matter content during the release of water stress: image

lpmorenoc commented 3 years ago

As suggested by @GerritHoogenboom, changes in the dry matter content were done as a rate variable instead of a state variable (whole dry weight):

image

image

lpmorenoc commented 3 years ago

Testing with an experiment in Nigeria (allowing retranslocation): Storage dry weight: image Percentage of dry matter image

lpmorenoc commented 3 years ago

Testing with one of the ACAI trials experiments (Ido, 2017 planting) image

lpmorenoc commented 3 years ago

Testing with the ACAI trial using state instead of rate variables. I think the results are better with rate instead of state variables: image

lpmorenoc commented 3 years ago

Experiment with different temperatures (Keating, Australia) before adding any effect due to temperature (currently no water or nutrients restrictions): image

After adding the effect of temperature with low temperatures increasing the dry matter content up to 5% if the air temperature is 13 C. The 5% could be an ecotype coefficient and would use the cardinal temperatures of 13 as "optimum" or maximum dry matter content and 30 as "minimum" (no reduction of dry matter if the mean temperature is above 30): image

Mean temperature: image

lpmorenoc commented 3 years ago

Modifying cardinal temperatures (maximum dry matter: 18 C, minimum dry matter 26 C). f74c829

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Adding effect of planting age: image

lpmorenoc commented 3 years ago

With effect of cardinal temperatures Nigeria trial: image

Adding effect of planting age: image