Seedling Salinity Tolerance Report

NaCl has been shown to have a negative effect on plant growth (Lee and Van Iersal 2016) and germination (Houle et al. 2001). The severity of these effects depends on the individual species’ ability to grow in saline soil (Atkins et al. 2009). WFPs are part of a group of plants called glycophytes, meaning that they have a limited ability to tolerate NaCl (Atkins et al. 2009). A study specific to WFP germination found a decrease in germination in WFPs

2. Sort the data by Gen or Gen 1 (into males and females) and find the mean and standard deviation for each gender for the following variables: Use the descriptive stats function for one gender and the Fx functions (average and stdev) for the other.

The data generated with the Flylab software seemed to confirm the hypothesized mode of inheritance for the phenotype of having the shaven bristles.

Progeny mean of these lines for canopy temperature at booting was 17.74, at heading 20.78, at anthesis 26.7 and at grain filling 29.67 as compared to parent GW322 with 18.2,22.2,26.18,31.96 and 18.2,24.3,28.4,34.5 at booting, heading ,anthesis and grain filling stage under non stress and stress condition respectively which was comparatively less than recurrent parent. For chlorophyll content measured by ,SPAD was ranging from 49.34 to 44 from booting to grain filling stage in progenies and 47.6 to 44 and 43 to 36 in GW322 under non stress and stress condition respectively. Similarly, NDVI, Vegetation greenness index recorded in booting to grain filling stage in progenies was 0.67 to 0.5 when compared to parent with 0.61 to 0.51 under irrigated and 0.54 to 0.36 in rainfed condition which was not found to be affected due to water stress. SPAD values and NDVI was started declining in postanthesis to grain filling stage in all MABB derived improved lines. Staygreen scale of 2.6 obsreved in GW322 in irrigated and 2 under rainfed condition as in case of progenies it was 6. Mean yield per sq. meter was 582.48 (g) and thousand kernel weight 44.84 (g)

From data table 3, Kf values range from 327 to 362, averaging out to be 345. [Fe3+] and [SCN-] initial concentrations were first calculated using Beer’s Law M1V=M2V2 dilution equation. Then [FeSCN2+] was calculated using the found concentration of [Fe3+] and [SCN-]. After that, [FeSCN2+]eq. was solved by (A eq.)/(A sd. ) [FeSCN2+]sd.

All data in the figures are expressed as the mean ± 1 SD of proportions calculated from three independent experiments where each experimental condition was tested in triplicates. Significant differences were estimated using an ANOVA test as implemented in GraphPad Prism (Version 3.02 for Windows, GraphPad Software. San Diego, California. USA). The proportions were Arcsin-transformed to ensure normality of residuals prior to statistical analysis, and p-value thresholds for significance were adjusted using the Bonferroni correction (29) for multiple comparisons.

On the first week, a set of twenty flies were inserted into a cultural vial. Initially, there were ten ebony flies and ten wild type, with an even distribution between gender. On the third week of data collection, there was a close to even distribution between phenotype and sex. There was a lower number of ebony then wild type. On week 5, the number of wild flies drastically exceed the ebony and there were also more females than males. Similarly, on week 7 the wild flies and females consistently remained to in larger numbers when compared to the ebony and males. The data collected on phenotype and gender is represented below (Table 1). The chi-squared value for each week was calculated and is identified below (Table 1) To use the

The Jirel cohort was used for the primary analysis of the heritability, due to the cohort consisting of a large number of interrelated members, thus making genotypic and phenotypic correlations with GSP and anthropometric values feasible to analyze. The heritability measure reported by the model including variance from significant covariates (Sex, BMI, Sex-BMI, SBP) was reported to be 0.1509177, or 15.09%. 15.09% of the variance seen GSP levels among the Jirel cohort is due to additive genetic effects or genetic variation among individuals of the population as based on our pleiotropic analysis. Furthermore, 5.59% of the variance seen in GSP levels can be attributed to covariates that were found to be significant: sex, BMI, sex-BMI interaction, and SBP. Using this data the environmental correlation (e)

However, these communities differ in their responses and recovery to types of extremes (salinity or desiccation) — suggesting that extreme events may produce variable impacts on invasive and native species (Leishman and Gallagher 2015), and the communities dominated by respective species also differ in their resiliency. As hypothesized, communities dominated by native species exhibit greater resiliency to salinity stress compared to invasive (Salvinia) dominated communities, particularly in the intense salinity stress (12 ppt), as demonstrated by greater total percent plant cover of native species (Figs 2 and 3). Previous works in North America and India have shown that increased salinity stress beyond 5 ppt (in some instances 2.5 ppt) caused

The use of General Linear Models (GLM) has not been justified in the paper. Additionally, two-way ANOVA for strain and GR genotype has been

High salinity is a prominent abiotic stress that negatively effects plant survival and growth by causing water to move out of the cells resulting in osmotic stress. Initially this causes nutrient imbalances, membrane disruption and a reduced capacity to neutralise reactive oxygen species, later manifesting as cellular toxicity produced by an influx of ions into the cell (HanumanthaRao, 2016). Higher plants are also confined to habitats that have a pH greater than 2, as highly acidic environments cause enzymes to denature as charges between amino acids become disrupted. Additionally, low pH’s increase heavy metal solubility. Therefore environments that

In the Result section, since repeated measures ANOVA was employed to analyze data, the line charts well demonstrate morphometric differences between the left and

Nevertheless, the results of these genetic studies have been rather disappointing and new investigations are requested in order to significantly increase the chances of finding strong gene/phenotype

The pairs of alternative traits examined segregated among the progeny of a particular cross, some individuals exhibiting one traits, some the other

Data was analyzed using IBM SPSS advanced statistics version 21 (SPSS Inc., Chicago, IL).For quantitative data, comparison between two dependent groups was done using student paired t-test.Chi square test (X2) was applied for the qualitative data to obtain the frequencies of the morphological variations on both sides.