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vol. 19, nr. 2 (2012)
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Growth modelling of Chinese cabbage (Brassica rapa var. chinensis) seed-lings and evaluation of the relationships between plant features before plant-ing out to the field and during harvest
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Andrzej Kalisz, Joanna Kostrzewa
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Department of Vegetable and Medicinal Plants, University of Agriculture in Krakow Al. 29 Listopada 54, 31-425 Kraków, Poland |
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vol. 19 (2012), nr. 2,
pp. 329-342
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abstract:
The paper presents the use of simple regression analysis to create models of Chinese cabbage (Brassica rapa var. chinensis, pak choy) seedling growth with respect to time, as well as to predict the development of the leaves of these plants on the basis of effective temperatures (growing degree-days). Developed time models were characterised by high coefficients of determination R2 ranging from 0.765 to 0.880 (for height of seedlings) and from 0.964 to 0.970 (for the number of leaves). For the effective temperatures the predicted data (leaf expansion apparatus) fitted real values in more than 89%. Seedlings were produced at two dates, sowing was done in the early third decade of July (1st term) and in the beginning of August (2nd term). Seedlings prepared at the later time had a greater height of rosettes as well as higher leaf area and leaf length. Plants were also characterised by a greater fresh weight of the shoots, while they had a reduced content of dry matter, soluble sugars and carotenoids, compared to the 1st term. There were significant differences in the analysed parameters of plants due to the cultivar factor. Features of Chinese cabbage seedlings were largely correlated with those of mature rosettes and overall yield of this vegetable crop.
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keywords:
Chinese cabbage, seedlings, regression models, growth, development
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original in:
Polish
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