Literature DB >> 28311821

Effects of windspeed on the growth and biomass allocation of white mustard Sinapis alba L.

Ruben Retuerto1, F Ian Woodward2.   

Abstract

We examined how different wind speeds and interactions between plant age and wind affect growth and biomass allocation of Sinapis alba L. (white mustard). Physiological and growth measurements were made on individuals of white mustard grown in controlled-environment wind tunnels at windspeeds of 0.3, 2.2 and 6.0 ms-1 for 42 days. Plants were harvested at four different dates. Increasing wind speed slightly increased transpiration and stomatal conductance. We did not observe a significant decline in the photosynthetic rate per unit of leaf area. Number of leaves, stem length, leaf area and dry weights of total biomass and plant parts were significantly lower in plants exposed at high wind speed conditions. There were no significant differences in the unit leaf rate nor relative growth rates, although these were always lower in plants grown at high wind speed. Allocation and architectural parameters were also examined. After 42 days of exposure to wind, plants showed higher leaf area ratio, root and leaf weight ratios and root/shoot ratio than those grown at control treatment. Only specific leaf area declined significantly with wind speed, but stem and reproductive parts also decreased. The responses of plants to each wind speed treatment depended on the age of the plant for most of the variables. It is suggested that wind operates in logarithmic manner, with relatively small or no effect at lower wind speeds and a much greater effect at higher speeds. Since there is no evidence of a significant reduction in photosynthetic rate of Sinapis with increasing wind speed it is suggested that the effect of wind on plant growth was due to mechanical effects leading to changes in allocation and developmental patterns.

Entities:  

Keywords:  Biomass allocation; Growth analysis; Relative growth rates; Sinapis alba L.; Wind effects

Year:  1992        PMID: 28311821     DOI: 10.1007/BF00317271

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  5 in total

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Journal:  Plant Physiol       Date:  1935-10       Impact factor: 8.340

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Journal:  Cell       Date:  1990-02-09       Impact factor: 41.582

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Journal:  Q Rev Biol       Date:  1988-12       Impact factor: 4.875

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Authors:  T Pappas; C A Mitchell
Journal:  Plant Physiol       Date:  1985       Impact factor: 8.340

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Authors:  F W Telewski; M J Jaffe
Journal:  Physiol Plant       Date:  1986       Impact factor: 4.500

  5 in total
  8 in total

1.  Together but different: co-occurring dune plant species differ in their water- and nitrogen-use strategies.

Authors:  Raimundo Bermúdez; Rubén Retuerto
Journal:  Oecologia       Date:  2013-11-10       Impact factor: 3.225

2.  The influence of plant density on the responses of Sinapis alba to CO2 and windspeed.

Authors:  R Retuerto; L Rochefort; F I Woodward
Journal:  Oecologia       Date:  1996-10       Impact factor: 3.225

3.  The influences of increased CO2 and water supply on growth, biomass allocation and water use efficiency of Sinapis alba L. grown under different wind speeds.

Authors:  R Retuerto; F I Woodward
Journal:  Oecologia       Date:  1993-06       Impact factor: 3.225

4.  Concentrations and δ²H values of cuticular n-alkanes vary significantly among plant organs, species and habitats in grasses from an alpine and a temperate European grassland.

Authors:  Bruno Gamarra; Ansgar Kahmen
Journal:  Oecologia       Date:  2015-03-13       Impact factor: 3.225

5.  Landscape variation in tree species richness in northern Iran forests.

Authors:  Charles P-A Bourque; Mahmoud Bayat
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

6.  New field wind manipulation methodology reveals adaptive responses of steppe plants to increased and reduced wind speed.

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Journal:  Plant Methods       Date:  2021-01-06       Impact factor: 4.993

7.  High-resolution wind speed forecast system coupling numerical weather prediction and machine learning for agricultural studies - a case study from South Korea.

Authors:  Ju-Young Shin; Byunghoon Min; Kyu Rang Kim
Journal:  Int J Biometeorol       Date:  2022-04-21       Impact factor: 3.738

8.  Mechanical stimulation in Brachypodium distachyon: Implications for fitness, productivity, and cell wall properties.

Authors:  Agnieszka Gladala-Kostarz; John H Doonan; Maurice Bosch
Journal:  Plant Cell Environ       Date:  2020-02-17       Impact factor: 7.228

  8 in total

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