Salt stress is one of the major problems in the present world’s agriculture. Plants encounter drought stress even in the availability of water because of osmotic imbalance in the cell due to excess salts. Plants avoid water uptake, which in turn decreases the photosynthetic activity. In this work, we measured the effect of salt stress on three accessions of Arabidopsis thaliana (Columbia (Col-0), Landsberg erecta (Ler-0), Wassilewskija (Ws-4)) by subjecting the plants to stress with 0-150 mM NaCl followed by recovery. The impact of the stress was clearly observed in all three accessions during stress and recovery period. Chlorophyll content in leaves decreased with increasing salt concentration. Proline levels increased during salt stress conditions. Non-photochemical quenching and PSII activity slightly decreased under stress conditions. Salt treated plants showed slow acidification of lumen with delayed Non-photochemical quenching in recovery phase. Ler-0 was the most sensitive ecotype to salt stress followed by Ws-4 and Col-0.

Poor seed coat colour desirability in green lentil (<i>Lens culinaris</i>) costs lentil producers millions of dollars each year. The monetary value that Canadian lentil producers receive for their crop is based on the visual characteristics of the seed coat, mainly the colour. Higher value is given for samples described to have more desirable green seed coat colour. A breeding line, 1294M-23, has been noticed to consistently produce more desirable green lentil samples.<p>A cross was made between 1294M-23 and a less desirable breeding line 1048-8R with the goal of studying the heritability of green seed coat desirability measured by the Acurum® machine. The resulting progeny were taken to F7 by single seed descent. In 2005 and 2006 the recombinant inbred lines (RILs) were seeded in a randomized complete block design at three sites in the current main lentil growing region of Saskatchewan. To measure the seed coat colour of the samples, the Acurum® machine, which is a colour analyzing machine developed for grain crops, was used to consistently compare the samples. The study illustrated that the trait has large environmental effects and is quantitative with a high broad sense heritability of 0.82, using this specific cross and environments. Transgressive segregation occurred for RILs that had more desirable green seed coats and lower index scores than the desirable parent, 1294M-23. A tester that included all registered green lentil cultivars set was grown with the RILs in all environments. The seed coat colour index scores of the tester set fit into a small section of the range of index scores. They all had relatively high mean index scores, meaning less desirable, showing little genetic variation for the trait in current Canadian green lentil cultivars. <p>Chlorophyll was extracted from seed coats of some of the RILs. The amount of total chlorophyll, chlorophyll a, and chlorophyll b was compared to the Acurum® scores using regression analysis. The study found that there was significant relationship between chlorophyll a and b content and the index score, explaining 32 and 37 percent of the variation, respectively. <p>Another portion of the study was to determine if preharvest treatment of the green lentil crop has an effect on the green seed coat colour of the sample. A set of genotypes consisting of all registered green seed coat cultivars was grown at two locations in Saskatchewan in both 2005 and 2006. Prior to harvest a plot of each genotype was swathed, and a second plot was desiccated with diquat. After harvest the samples were analyzed for green seed coat colour using the Acurum® machine. In general, across most genotypes, sites, and years, swathing produced a significantly more desirable green lentil sample. The desirable green parent from the RILs, 1294M-23 produced the most desirable green lentil sample in this study. When the maturity rating was correlated to the Acurum® score a significant positive relationship was found in 2005 but not in 2006. This showed that lines with later maturity could be associated with more desirable green seed coat colour in some environments. Thus caution must be taken when selecting for more desirable phenotypes that genetic gains are being made rather than indirect selection for longer maturity.

The aim of this study is to determine the distribution of Chla in Eymir Lake using remotely sensed data and in-situ data. The study was carried out in three phases / the first phase was taking ground real data from the lake for a 6-month period, secondly the remotely sensed satellite image was taken and analyzed, thirdly a correlation was obtained between the ground data and satellite image, and lastly mapping of the Chla in the lake was made. During the study also the change of the lake during the 6-month period was monitored. The results showed a great variation in the concentration of Chla in the period measured from spring till early fall, from very low almost undetectable concentrations to noticeably very high values especially during summer. The secchi disc depth values ranged from about 3 meters in early spring, to as low as 15 centimeters in late summer / this made it very much related to Chla values. Chla concentrations had a high relationship with the following parameters: DO, TSS, Depth and secchi disc. As for the remotely sensed data also an acceptable level of correlation was obtained between them and Chla data both from laboratory results and in-situ probe.

Temporal and spatial variations in the Sea of Marmara based on monthly averages of chlorophyll a, which is the major indicator of phytoplankton biomass and primary production, recorded by SeaWiFS and MODIS-Aqua sensors at nearly 100 stations have been analyzed for the period of 1997-2007. Majority of phytoplankton blooms occur during the winter and spring seasons, followed by a smaller secondary bloom during the fall season. The majority of high magnitude blooms occur at the Eastern part of the Sea which may be attributed to an increase in the amount of discharge of water contaminated with nutrients originating on land where the industries are located. The correlations between monthly averages of sea surface temperature (SST) and corresponding chlorophyll a values are statistically significant (inverse) at 1% level, where r= -0.53 and the equation of the fitted model is: Chlorophyll a = 7.09199 &ndash / 0.215402* SST This correlation is expected because a relative decrease in SST is an indicative of upwelling and vertical mixing which are the primary processes for the formation of phytoplankton blooms. We have also found that monthly averages of chlorophyll a recorded by SeaWiFS and MODIS-Aqua are nearly identical and either data set can be used in place of the other.

Chlorophyll-a is a parameter which can be used to understand the trophic state of water bodies. Therefore, monitoring of this parameter is required. Yet, distribution of chlorophyll-a in water bodies is not homogeneous and exhibits both spatial and temporal variations. Therefore, frequent sampling and high sample sizes are needed for the determination of chlorophyll-a quantities. This would in return increase the sampling costs and labor requirement, especially if the topography makes the location hard to reach. Remote sensing is a technology that can aid in handling of these difficulties and obtain a continuous distribution of chlorophyll-a concentrations in a water body. In this method, reflectance from water bodies in different wavelengths is used to quantify the chlorophyll-a concentrations. In previous studies in literature, empirical regression models that use the reflectance values in different bands in different combinations have been derived. Yet, prediction performances of these models decline especially in shallow lakes. In this study, the spatial distribution of chlorophyll-a in shallow Lake Eymir is determined using both regression models and artificial neural network models that use hybrid inputs. Unlike the models generated before, field measured parameters which can influence the reflectance values in remotely sensed images have been used in addition to the reflectance values. The parameters that are considered other than reflectance values are photosynthetically active radiation (PAR), secchi depth (SD), water column depth, turbidity, dissolved oxygen concentration (DO), pH, total suspended solids (TSS), total dissolved organic matter (TDOM), water and air temperatures, wind data and humidity. Reflectance values are obtained from QuickBird and World View 2 satellite images. Effect of using hybrid input in mapping the reflectance values to chlorophyll-a concentrations are studied. In the context of this study, three different high-resolution satellite images are analyzed for the spatial distribution of chlorophyll-a concentration in Lake Eymir. Field and laboratory studies are conducted for the measurement of parameters other than the reflectance values. Principle component analysis is applied on the collected data to decrease the number of model input parameters. Then, linear and non-linear regression and artificial neural network (ANN) models are derived to model the chlorophyll-a concentrations in Lake Eymir. Results indicate that ANN model shows better predictability compared to regression models. The predictability of ANN model increases with increasing variation in the dataset. Finally, it is seen that in determination of chlorophyll-a concentrations using remotely sensed data, models with hybrid inputs are superior compared to ones that use only remotely sensed reflectance values.

SeaWiFS was collecting ocean color data since 1997. This means chlorophyll-a data for more than ten years. Since, SeaWiFS Chl-a data is validated for Black Sea this data set can be used for analysis. Nevertheless, the data is not gap free due to cloud effect. One of the main objectives of this work is to obtain a gap free, complete Chl-a data set for the Black Sea. For this purpose DINEOF method will be used.

During photosynthesis, two multi-protein complexes, photosystems (PS) I and II work in tandem to convert the light-energy absorbed by the light-harvesting antennae into chemical energy, which is subsequently used to assimilate atmospheric carbon dioxide into organic carbon compounds. This is the main nutritional basis for life on Earth. The photosynthetic antenna of higher plants comprises at least ten different pigment-binding proteins (LHC), which play important roles in photosynthesis. Chlorophyll and carotenoid molecules associated with the LHC proteins are organised into an array, which can be modulated, thereby optimising light-harvesting processes and protection against oxidative damage under conditions of excessive light absorption. All ten LHC proteins have been conserved through eons of evolution, suggesting that there are strong evolutionary pressures to retain all ten proteins, and hence that each protein has a unique function. The light-harvesting antenna of higher plant PSI consists of at least four proteins, Lhca1-4, collectively called LHCI. By constructing transgenic Arabidopsis thaliana plants in which each Lhca gene has been individually repressed or knocked-out, a collection of plants with different Lhca protein contents was obtained. The objective was to use these plants to study the structure, function and regulation of the Lhca proteins in vivo. The major findings of this work are as follows. Removing single Lhca proteins influenced the stability of the other Lhca proteins, showing that there is a high degree of inter-dependency between the polypeptides in LHCI, and hence that a full set of Lhca proteins is important for maintaining the structural integrity of LHCI. This has provided insight into the organisation of LHCI by revealing clues about the relative positions of each Lhca protein in the antenna complex. The physiological consequences of removing individual Lhca proteins were dependent on the degree of antenna depletion. Plants with relatively small antenna changes could compensate, to some extent, for the loss of LHCI, while larger depletions had profound effects on whole plant resulting in growth reductions. The fitness of each Lhca plant was assessed by measuring their seed production in the harsh conditions in the field. We found that all Lhca-deficient plants produced fewer seeds under some conditions, with seed-production compared to wild type varying between 10-80% depending on the extent of LHCI reduction. Therefore, we conclude that each Lhca protein is important for plant fitness, and hence for the survival of the species. PSI is characterised by a pool of pigments absorbing light in the red end of the solar visible spectrum, thought to be especially important for plants in dense vegetation systems where the incident light is enriched in wavelengths higher than 690 nm. A majority of these pigments are situated on LHCI and, based on in-vitro studies, were thought to be mainly associated with Lhca4. Using our plants, we have established that red pigments are indeed present on all Lhca proteins and that these pigments become even more red upon association with PSI.

Research in the use of ozone in water treatment conducted by many authors support the idea that the nature and characteristics of natural organic matter (NOM) present in raw water determines the efficiency of ozonation in water purification. An ozone contact chamber was designed and made to allow pre-ozonation of water to take place. The concentration of ozone in the chamber was determined using the Indigo method. For the duration of one year, water samples were collected from four different sampling sites and analyzed to determine their overall ecological status with regard to several variables such as pH, chlorophyll-a, SAC254, turbidity, DOC, algal species composition and sum of NOM. Two dams sites and two riverine sites were chosen, Hartbeespoort Dam (a hyper-eutrophic impoundment), Boskop Dam (a mesotrophic impoundment), Midvaal Water Company at Orkney and Sedibeng Water at Bothaville. The samples were treated in Jar Tests with FeCI3 and the same variables were measured. Preozonation followed by Jar Tests was performed on each sample at twoconcentrations of ozone and the variables were measured to examine the efficiency of ozonation. In general, the ph was high and stayed the same for all the samples and for all the treatments. DOC was variable and showed no relationship to any other variable or to the treatments. Hartbeespoort Dam was found to be a eutrophic impoundment characterized by high algal bloom of the cyanobacteria Microcystis sp., Turbidity, SAC254, and the sum of NOM were lower than for the riverine sites but higher than for Boskop Dam. The NOM constituted more intermediate molecular weight(1MW)and low molecular weight (LMW) fractions than the riverine sites. Ozone was effective in reducing chlorophyll-a, turbidity and SAC254 from Hartbeespoort Dam, but the presence of large numbers of algal cells interferes with its efficiency. Release of cell-bound organics after ozonation can lead to increases instead of decreases in these variables. Jar Test results demonstrate that ozonation improves water quality when compared to conventional treatment although the interference of algal cells can alter results. Boskop Dam is a mesotrophic impoundment characterised by low productivity, low SAC254, tow turbidity and low sum of NOM. However, it has a large portion of the LMW fraction of NOM present. This LMW fraction affects the treatment process as this fraction is not acted upon by ozone. Therefore it was found that ozonation did not improve the quality of the water when compared to conventional treatment. The two riverine sites, Midvaal and Sedibeng were similar to each other. Both sites had high algal productivity with high chlorophyll-a values indicative of algal blooms observed at certain times. These blooms consisted either of members of Bacillariophyceae or Chlorophyceae. High turbidity and SAC254 was observed during the rainy season and was related to the high percentage HMW and IMW fractions of NOM present. There was correlation between the turbidity and SAC254 of these sites leading to the assumption that the turbidity of the river is due to the presence of HMW humic fractions of NOM. Ozonation was effective in improving water quality with respect to turbidity, SAC254 and chlorophyll-a removal, both on its own and after conventional treatment when combined with a coagulant. However, the species of algae present affects ozonation as members of Bacillariophyceae are not affected by the actions of ozone because of the presence of a silica frustule whereas members of Chlorophyceae are easily removed by ozone. In general, ozone acts upon the HMW and LMW fractions of NOM causing them to breakdown into smaller fractions. Ozone has no effect on samples that have a high percentage of the LMW fraction of NOM. This LMW fraction is more readily removed by conventional treatment than by ozonation. The presence of large numbers of algal cells as well as the species of cells can negatively affect the treatment process with regard to ozone. / Thesis (M. Environmental Science (Water Science))--North-West University, Potchefstroom Campus, 2007.

Glancing angle laser induced fluorescence was used to monitor the kinetics of the photodegradation of chlorophyll at the surface of various salt solutions. The loss was measured using varying wavelengths of actinic radiation in the presence and absence of gas phase ozone. The loss rate of illuminated chlorophyll was faster on salt water surfaces than fresh water surfaces, both in the presence and absence of ozone. On salt water surfaces, the dependence of the loss rate on [O3(g)] was different under illuminated conditions than in the dark. This was further investigated by measuring the excitation spectra and the dependence of chlorophyll loss on the concentration of salts at the salt water surface. The possible production of reactive halogen atoms is the likely reason for the observed enhancement. The following results provide evidence of photosensitized oxidation of halogen anions, in the UV-visible range of the spectrum, resulting in halogen atom release.

In the northern Gulf of Mexico, hypoxia occurs annually during the summer on the Texas-Louisiana shelf. This study examines the distribution of particulate and dissolved components relative to hydrography, to better understand the processes controlling the development of hypoxia. Particulate matter on the Texas-Louisiana Shelf has three major sources – river plumes, primary production, and resuspended sediments. The sources and processes controlling distribution and transport of particles are investigated using optical proxies (backscattering, chlorophyll fluorescence, Colored Dissolved Organic Matter fluorescence (CDOM)), temperature, salinity, dissolved oxygen (DO), and in-situ sampling during June and August 2011 cruises of the Mechanisms Controlling Hypoxia program (hypoxia.tamu.edu). Discrete samples of particulate matter (PM) and particulate organic carbon (POC) concentration were obtained for analysis and calibration of optical instruments interfaced with a profiling CTD, a towed undulating CTD (Acrobat), and the ship’s flow-through system along the shelf from south of Galveston, Texas, to east of the Mississippi delta. The results of this study support a previously hypothesized concept of three primary areas of organic and inorganic particle composition and processes that dominate those areas – river-dominated water, highly productive surface waters, and clear, nutrient-poor low-productivity surface waters. The distribution and bulk composition of particulate matter in the northern Gulf of Mexico, plus the distribution of chlorophyll fluorescence and CDOM suggest that subpycnocline primary production plays a role in determining oxygen concentration in subpycnocline waters away from the river-dominated water.