Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 537721
Title Use of the beta growth function to quantitatively characterize the effects of plant density and a growth regulator on growth and biomass partitioning in cotton
Author(s) Mao, Lili; Zhang, Lizhen; Sun, Xuezhen; Werf, Wopke van der; Evers, Jochem B.; Zhao, Xinhua; Zhang, Siping; Song, Xianliang; Li, Zhaohu
Source Field Crops Research 224 (2018). - ISSN 0378-4290 - p. 28 - 36.
DOI https://doi.org/10.1016/j.fcr.2018.04.017
Department(s) Crop and Weed Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Beta growth function - Biomass partitioning - Growth rate - Mepiquat chloride - Plant population density
Abstract Allocation of newly formed biomass towards plant organs is a key determinant of plant performance that is affected by agronomic practices such as plant population density and use of growth regulators. Here we quantified biomass allocation of intercropped cotton (Gossypium hirsutum) growing at two population densities (3.0 and 7.5 plants m−2) and with or without application of the growth regulator mepiquat chloride (MC) in three consecutive years. The beta growth function was used to quantitatively characterize the dynamics of biomass partitioning. Compared to low density, high density increased daily growth rate and final above-ground dry matter, but decreased allocation to fruits. Application of MC did not affect dry matter accumulation but increased allocation to fruits by 22%. The parameters of the beta growth function have a clear biological interpretation, providing a useful quantitative characterization of the effect of management on dry matter allocation in cotton. The function may also be used to model organ-specific daily assimilate partitioning as a component in models of plant growth and crop production with the consideration of discussed caveats.
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