Back to Search
Start Over
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
- Source :
- ORCID, Microsoft Academic Graph, Datacite, Field Crops Research, 224, 28-36, Field Crops Research 224 (2018)
- Publication Year :
- 2018
-
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.
- Subjects :
- 0106 biological sciences
Soil Science
Biomass
Mepiquat chloride
Growth regulator
Biology
01 natural sciences
Population density
Beta growth function
Growth function
Dry matter
Growth rate
Beta (finance)
Biomass partitioning
food and beverages
Plant population density
04 agricultural and veterinary sciences
PE&RC
Agronomy
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Crop and Weed Ecology
Agronomy and Crop Science
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 03784290
- Volume :
- 224
- Database :
- OpenAIRE
- Journal :
- Field Crops Research
- Accession number :
- edsair.doi.dedup.....0ef683232598e5b8bea81e2b8b53a7b7
- Full Text :
- https://doi.org/10.1016/j.fcr.2018.04.017