Articles

Evaluation of cabbage growth using quadratic distribution under soil moisture regimes

Article number
1404_72
Pages
537 – 544
Language
English
Abstract
Cabbage (Brassica oleracea var. capitata) is one of the most popular vegetables in the world and generally cultivated in open fields.
Climate change, which causes precipitation and soil moisture (SM) effects, is affecting stable cultivation in open fields.
Here, we evaluated growth components, such as the relative growth rate (RGR), net assimilation rate (NAR), and leaf area ratio (LAR), which interact with the three levels of SM. The RGR varied quantitively under different SM due to the variation in NAR and LAR, and a maximum reduction of RGR, NAR, and LAR was observed under severe SM at 1071.7°C-days.
LAR and RGR were positively correlated.
We hypothesized that LAR, one of the elements of growth analysis, can be described and regressed using a quadratic distribution model at the early stage of cabbage growth, which determines the growth of cabbage under different SM conditions.
Since the fitted LAR model by quadratic distribution changed according to the amount of SM, they can be used as an index for estimating soil moisture stress.
High variations in LAR were observed in the early vegetative stage (before heading) and late vegetative stage (after heading) between the control and severe SM conditions.
Therefore, the paradigm of our LAR fitting model provides insight into the SM status, RGR, photosynthetic capacity, and heading status of cabbage.
This information could help determine the growth distribution by developing management tools and reducing growth gaps in other leafy vegetable cultivars under different SM regimes.

Publication
Authors
M.Z.K. Roni, M. Fukuda, F. Sato
Keywords
growth analysis, modeling, photosynthetic ability, relative growth rate, soil moisture
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