scholarly journals The effect of temperature of the root medium and of the growing point of the shoot on growth, water content and sugar content of maize leaves.

1970 ◽  
Vol 18 (2) ◽  
pp. 140-148
Author(s):  
A. Kleinendorst ◽  
R. Brouwer
Keyword(s):  
Water Content ◽  
Leaf Growth ◽  
Sugar Content ◽  
Effect Of Temperature ◽  
Leaf Water Content ◽  
Root Temperature ◽  
Osmotic Adaptation ◽  
Root Medium ◽  
Maize Leaves ◽  
Plant Water Balance

Maize seedlings were grown in nutrient solution under 18-h daylength and the temperatures of the root medium and of the growing points of the leaves were varied independently between 20 degrees and 5 degrees C; leaf growth rate and leaf water content were continuously recorded. The effect of root temperature on leaf growth was influenced by the plant water balance and was subject to osmotic adaptation which proceeded faster and was more complete at favourable growth temperatures.-G.M.H. (Abstract retrieved from CAB Abstracts by CABI’s permission)

scholarly journals Pengaruh Suhu Dan Lama Pengeringan Terhadap Sifat Kimia Dan Organoleptik Sale Pisang Kapas (Musa Comiculata)

2017 ◽  
Vol 15 (1) ◽  
pp. 24
Author(s):  
Marwati Marwati ◽  
Yuliani Yuliani ◽  
Yulian Andriyani ◽  
Mentari Mentari
Keyword(s):  
Vitamin C ◽  
Water Content ◽  
Skin Color ◽  
Sugar Content ◽  
Chemical Properties ◽  
Sweet Taste ◽  
Ash Content ◽  
Reducing Sugar ◽  
Effect Of Temperature ◽  
Drying Time

Banana “kapas” is an original banana cultivar from Samarinda, with the characteristics at the time of mature is yellow fruit skin color, flesh color yellowish white and has a sweet taste. During this time the banana kapas has not been utilized properly. Based on the characteristics possessed by banana kapas can be processed into the processed products sale banana. This study aims to determine the effect of temperature and drying time on the chemical properties of sale of banana kapas produced, the level of panelist reception at organoleptic test and to get the time and temperature of the dryer that produces a quality banana sale based on chemical properties and organoleptic. The results showed that the temperature and duration of the dryer and its interactions had the significant effect on water content, ash content, vitamin C and reducing sugar content. Treatment with temperature 75oC and 21 hours drying time gave the best result with water content, ash content, vitamin C and reducing sugar are 32.80%, 1.13%, 60.65 mg/g and 16.08% respectively. For hedonic test, hedonic values of color, flavor, aroma and texture is like the hedonic quality of brown, sweet taste, rather banana flavored and hard texture.    

scholarly journals Influence of Soil Moisture on some Physiological Characters and Root and Alkaloid Yields of Rauvolfia serpentina

1970 ◽  
Vol 14 ◽  
pp. 73-76
Author(s):  
D Paul ◽  
NK Paul ◽  
P Basu
Keyword(s):  
Soil Moisture ◽  
Water Content ◽  
Sugar Content ◽  
Leaf Water ◽  
Leaf Water Content ◽  
Root Yield ◽  
Main Root ◽  
Irrigation Frequency ◽  
Rauvolfia Serpentina ◽  
Physiological Characters

Relative leaf water content of the irrigated plants of Rauvolfia serpentine was significantly higher than that of the rainfed plants. Soil moisture effect was found to be significant for chlorophyll a, b and total chlorophyll. Rainfed plants had significantly higher proline and sugar content than the irrigated plants. Main root length, total alkaloid and reserpine contents were unaffected by soil moisture, but air-dried root yield gradually increased with the increase of irrigation frequency. Key words: Irrigation, relative leaf water content, chlorophyll, sugar, root yield, reserpine. J. bio-sci. 14: 73-76, 2006

scholarly journals Leaf water content estimation using top-of-canopy airborne hyperspectral data

2021 ◽  
Vol 102 ◽  
pp. 102393
Author(s):  
Rahul Raj ◽  
Jeffrey P. Walker ◽  
Vishal Vinod ◽  
Rohit Pingale ◽  
Balaji Naik ◽  
...  
Keyword(s):  
Water Content ◽  
Hyperspectral Data ◽  
Leaf Water ◽  
Leaf Water Content

scholarly journals Simulating Heat Stress of Coal Gangue Spontaneous Combustion on Vegetation Using Alfalfa Leaf Water Content Spectral Features as Indicators

2021 ◽  
Vol 13 (13) ◽  
pp. 2634
Author(s):  
Qiyuan Wang ◽  
Yanling Zhao ◽  
Feifei Yang ◽  
Tao Liu ◽  
Wu Xiao ◽  
...  
Keyword(s):  
Heat Stress ◽  
Water Content ◽  
Spontaneous Combustion ◽  
Leaf Water ◽  
Coal Gangue ◽  
Leaf Water Content ◽  
Spectral Features ◽  
Lasso Regression ◽  
Stress Assessment ◽  
First Derivative

Vegetation heat-stress assessment in the reclamation areas of coal gangue dumps is of great significance in controlling spontaneous combustion; through a temperature gradient experiment, we collected leaf spectra and water content data on alfalfa. We then obtained the optimal spectral features of appropriate leaf water content indicators through time series analysis, correlation analysis, and Lasso regression analysis. A spectral feature-based long short-term memory (SF-LSTM) model is proposed to estimate alfalfa’s heat stress level; the live fuel moisture content (LFMC) varies significantly with time and has high regularity. Correlation analysis of the raw spectrum, first-derivative spectrum, spectral reflectance indices, and leaf water content data shows that LFMC and spectral data were the most strongly correlated. Combined with Lasso regression analysis, the optimal spectral features were the first-derivative spectral value at 1661 nm (abbreviated as FDS (1661)), RVI (1525,1771), DVI (1412,740), and NDVI (1447,1803). When the classification strategies were divided into three categories and the time sequence length of the spectral features was set to five consecutive monitoring dates, the SF-LSTM model had the highest accuracy in estimating the heat stress level in alfalfa; the results provide an important theoretical basis and technical support for vegetation heat-stress assessment in coal gangue dump reclamation areas.

scholarly journals Accumulation of Silicon and Changes in Water Balance under Drought Stress in Brassica napus var. napus L.

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 280
Author(s):  
Diana Saja-Garbarz ◽  
Agnieszka Ostrowska ◽  
Katarzyna Kaczanowska ◽  
Franciszek Janowiak
Keyword(s):  
Abscisic Acid ◽  
Drought Stress ◽  
Stomatal Conductance ◽  
Water Balance ◽  
Water Content ◽  
Oilseed Rape ◽  
Potential Evapotranspiration ◽  
Leaf Water Content ◽  
Optimal Conditions ◽  
Abscisic Acid Level

The aim of this study was to investigate the accumulation of silicon in oilseed rape and to characterize the changes in chosen water balance parameters in response to drought. The following parameters were estimated: water content, osmotic and water potential, evapotranspiration, stomatal conductance and abscisic acid level under optimal and drought conditions. It was shown that oilseed rape plants accumulate silicon after its supplementation to the soil, both in the case of silicon alone and silicon together with iron. It was revealed that silicon (without iron) helps maintain constant water content under optimal conditions. While no silicon influence on osmotic regulation was observed, a transpiration decrease was detected under optimal conditions after silicon application. Under drought, a reduction in stomatal conductance was observed, but it was similar for all plants. The decrease in leaf water content under drought was accompanied by a significant increase in abscisic acid content in leaves of control plants and those treated with silicon together with iron. To sum up, under certain conditions, silicon is accumulated even in non-accumulator species, such as oilseed rape, and presumably improves water uptake under drought stress.

Spectral assessments of wheat plants grown in pots and containers under saline conditions

2013 ◽  
Vol 40 (4) ◽  
pp. 409 ◽  
Author(s):  
Harald Hackl ◽  
Bodo Mistele ◽  
Yuncai Hu ◽  
Urs Schmidhalter
Keyword(s):  
Water Potential ◽  
Water Content ◽  
Aboveground Biomass ◽  
Leaf Water ◽  
Leaf Water Content ◽  
Spectral Indices ◽  
Fresh Weight ◽  
Normalised Difference Vegetation Index ◽  
Spectral Sensing ◽  
Reflectance Ratio

Spectral measurements allow fast nondestructive assessment of plant traits under controlled greenhouse and close-to-field conditions. Field crop stands differ from pot-grown plants, which may affect the ability to assess stress-related traits by nondestructive high-throughput measurements. This study analysed the potential to detect salt stress-related traits of spring wheat (Triticum aestivum L.) cultivars grown in pots or in a close-to-field container platform. In two experiments, selected spectral indices assessed by active and passive spectral sensing were related to the fresh weight of the aboveground biomass, the water content of the aboveground biomass, the leaf water potential and the relative leaf water content of two cultivars with different salt tolerance. The traits were better ascertained by spectral sensing of container-grown plants compared with pot-grown plants. This may be due to a decreased match between the sensors’ footprint and the plant area of the pot-grown plants, which was further characterised by enhanced senescence of lower leaves. The reflectance ratio R760 : R670, the normalised difference vegetation index and the reflectance ratio R780 : R550 spectral indices were the best indices and were significantly related to the fresh weight, the water content of the aboveground biomass and the water potential of the youngest fully developed leaf. Passive sensors delivered similar relationships to active sensors. Across all treatments, both cultivars were successfully differentiated using either destructively or nondestructively assessed parameters. Although spectral sensors provide fast and qualitatively good assessments of the traits of salt-stressed plants, further research is required to describe the potential and limitations of spectral sensing.

Effect of dust deposition on spectrum-based estimation of leaf water content in urban plant

2019 ◽  
Vol 104 ◽  
pp. 41-47 ◽  
Author(s):  
Wenpeng Lin ◽  
Yuan Li ◽  
Shiqiang Du ◽  
Yuanfan Zheng ◽  
Jun Gao ◽  
...  
Keyword(s):  
Water Content ◽  
Leaf Water ◽  
Leaf Water Content ◽  
Dust Deposition

scholarly journals Spatial variation and mechanisms of leaf water content in grassland plants at the biome scale: evidence from three comparative transects

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ruomeng Wang ◽  
Nianpeng He ◽  
Shenggong Li ◽  
Li Xu ◽  
Mingxu Li
Keyword(s):  
Spatial Variation ◽  
Water Content ◽  
Large Scale ◽  
Life Forms ◽  
Important Variable ◽  
Leaf Water ◽  
Leaf Water Content ◽  
Desert Grassland ◽  
Large Spatial Scale ◽  
Grassland Plants

AbstractLeaf water content (LWC) has important physiological and ecological significance for plant growth. However, it is still unclear how LWC varies over large spatial scale and with plant adaptation strategies. Here, we measured the LWC of 1365 grassland plants, along three comparative precipitation transects from meadow to desert on the Mongolia Plateau (MP), Loess Plateau, and Tibetan Plateau, respectively, to explore its spatial variation and the underlying mechanisms that determine this variation. The LWC data were normally distributed with an average value of 0.66 g g−1. LWC was not significantly different among the three plateaus, but it differed significantly among different plant life forms. Spatially, LWC in the three plateaus all decreased and then increased from meadow to desert grassland along a precipitation gradient. Unexpectedly, climate and genetic evolution only explained a small proportion of the spatial variation of LWC in all plateaus, and LWC was only weakly correlated with precipitation in the water-limited MP. Overall, the lasso variation in LWC with precipitation in all plateaus represented an underlying trade-off between structural investment and water income in plants, for better survival in various environments. In brief, plants should invest less to thrive in a humid environment (meadow), increase more investment to keep a relatively stable LWC in a drying environment, and have high investment to hold higher LWC in a dry environment (desert). Combined, these results indicate that LWC should be an important variable in future studies of large-scale trait variations.

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