scholarly journals The Influence of Soil Acidity on the Physiological Responses of Two Bread Wheat Cultivars

Plants ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1472
Author(s):  
Brigitta Tóth ◽  
Csaba Juhász ◽  
Maryke Labuschagne ◽  
Makoena Joyce Moloi
Keyword(s):  
Lipid Peroxidation ◽  
Protein Content ◽  
Soil Ph ◽  
Growth Stage ◽  
Grain Filling ◽  
Growth Stages ◽  
Guaiacol Peroxidase ◽  
Antioxidative Capacity ◽  
Wheat Cultivars ◽  
Mda Content

The recent study was conducted to examine the influence of acidic soil on the activities of ascorbate (APX) and guaiacol peroxidase (POD), proline, protein as well as malon-dialdehyde (MDA) content, in two commercial spring wheat cultivars (PAN3497 and SST806) at different growth stages (tillering and grain filling). A cultivar effect was significant only for MDA content, while the treatment effect was highly significant for proline, protein, and MDA. The sampling time effect was significant for most characteristics. MDA, antioxidative capacity, as well as protein content increased with maturity. At grain filling, MDA and proline contents were significantly higher at pH 5 than pH 6 and 7 for both cultivars, with the highest content in SST806. Similarly, SST806 had significantly higher APX and POD when growing at pH 5. There were no significant differences in protein content at grain filling between either genotype or treatments affected by low pH. This study showed that growth stage and soil pH influence the rate of lipid peroxidation as well as the antioxidative capacity of wheat, with a larger effect at grain filling, at pH 5. Although SST806 had higher proline, POD, and APX content than PAN3497 at this growth stage, this coincided with a very high MDA content. This shows that the high antioxidative capacity observed here, was not associated with a reduction of lipid peroxidation under low soil pH. Further research should, therefore, be done to establish the role of the induced antioxidant system in association with growth and yield in wheat.

scholarly journals Defense Mechanisms of Two Pioneer Submerged Plants during Their Optimal Performance Period in the Bioaccumulation of Lead: A Comparative Study

2018 ◽  
Vol 15 (12) ◽  
pp. 2844 ◽  
Author(s):  
Dian Li ◽  
Linglei Zhang ◽  
Min Chen ◽  
Xiaojia He ◽  
Jia Li ◽  
...  
Keyword(s):  
Lipid Peroxidation ◽  
Protein Content ◽  
Defense Mechanisms ◽  
Hydrilla Verticillata ◽  
Optimal Performance ◽  
Ceratophyllum Demersum ◽  
Contaminated Water ◽  
Submerged Plants ◽  
Significant Difference ◽  
Mda Content

Ceratophyllum demersum L. and Hydrilla verticillata (L.f.) Royle, two pioneer, submerged plants, effectively remove heavy metals from contaminated water. The present work evaluates the bioaccumulation and defense mechanisms of these plants in the accumulation of lead from contaminated water during their optimal performance period. C. demersum and H. verticillata were investigated after 14 days of exposure to various lead concentrations (5–80 μM). The lead accumulation in both C. demersum and H. verticillata increased with an increasing lead concentration, reaching maximum values of 2462.7 and 1792 mg kg−1 dw, respectively, at 80 μM. The biomass and protein content decreased significantly in C. demersum when exposed to lead. The biomass of H. verticillata exposed to lead had no significant difference from that of the controls, and the protein content increased for the 5–10 μM exposure groups. The malondialdehyde (MDA) content and superoxide dismutase (SOD), peroxidase (POD), and polyphenol oxidase (PPO) activities were much higher in C. demersum, suggesting considerable damage from lipid peroxidation and sensitivity to lead stress. Enzyme inhibition and inactivation were also observed in C. demersum at high lead concentrations (40–80 μM). The excellent growth status, low damage from lipid peroxidation, and high activity of catalase (CAT) and phenylalanine ammonia-lyase (PAL) observed in H. verticillata illustrate its better tolerance under the same lead stress.

scholarly journals Water Use Efficiency of Maize Genotypes of Different Maturity Groups at Seedling and Grain-filling Growth Stages in a Rainforest Location

2019 ◽  
pp. 1-11
Author(s):  
O. O. Bankole ◽  
A. Oluwaranti ◽  
F. E. Awosanmi
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Growth Stage ◽  
Grain Filling ◽  
Growth Stages ◽  
Maturity Group ◽  
Maize Genotypes ◽  
Early Maturing ◽  
Use Efficiency ◽  
Maturity Groups

Aims: The objectives of this study were to evaluate maize genotypes of different maturity groups for seedling and grain filling water use efficiency and determine relationship that exist between the water use efficiency traits and yield of different maize maturity groups. Study Design:  Sixteen maize genotypes were planted in Randomized Complete Block Design in three replicates for emergence, vegetative, water use efficiency traits at the seedling and grain-filling growth stages and yield. Place and Duration of Study: The sixteen maize genotypes of different maturity groups were evaluated during the early and late cropping seasons of 2016 at the Obafemi Awolowo University Teaching and Research Farm, Ile-Ife, Nigeria Methodology: Data collected were subjected to Analysis of Variance (ANOVA), correlation analysis among water use efficiency traits and yield for each of the maturity groups. Results: There was no significant difference among the genotypes within each maturity groups for water use efficiency at seedling and grain filling growth stages. The late maturity group of maize used more water at the seedling growth stage than the other maturity groups in the early season of this study while in the late season, the early and extra-early maturity groups used more water than the other maturity groups. Increase in emergence percentage, reduction in speed of germination, and minimal days to complete germination increased water use efficiency at the seedling stage only during the early cropping season. Efficiency of water usage at the seedling growth stage was more among the late and intermediate maturing groups than the extra-early and early maturing groups in the early season while in the late season, the extra-early and early maturing groups used water more efficiently than the late and Intermediate maturing groups Conclusion: Maturity group played a significant role in the expression and manifestation of water use efficiency traits under different environmental conditions.

scholarly journals Alleviation of allelochemical stress-induced growth inhibition and oxidative damage in lettuce under closed hydroponics through electro-degradation

2020 ◽  
Vol 47 (No. 1) ◽  
pp. 53-68
Author(s):  
Md. Raihan Talukder ◽  
Md. Asaduzzaman ◽  
Makoto Ueno ◽  
Hideyuki Tanaka ◽  
Toshiki Asao
Keyword(s):  
Lipid Peroxidation ◽  
Oxidative Damage ◽  
Growth Inhibition ◽  
Protein Content ◽  
Nutrient Solution ◽  
Soluble Protein ◽  
Guaiacol Peroxidase ◽  
Culture Solution ◽  
Soluble Protein Content ◽  
Allelochemical Stress

Successive lettuce cultivation in closed hydroponics using the same nutrient solution causes the excess production and accumulation of allelochemicals. The accumulated allelochemicals induce oxidative damage and lipid peroxidation in plants leading to growth inhibition. In this study, we investigated the allelochemicals that induced oxidative damage and lipid peroxidation in lettuce grown in a once used non-renewed nutrient solution (1NR) and a twice used non-renewed nutrient solution (2NR) obtained from the successive cultivation and the alleviation of these damages through electro-degradation (ED). The 1NR solution was used for six weeks for a one-time lettuce cultivation while the 2NR solution was used for twelve weeks for a two-times lettuce cultivation. The results showed that the allelochemical stress caused growth inhibition in the lettuce in both the 1NR and 2NR solutions. It was observed that there was a higher generation of H2O2 and O2.– as well as a lower activity of the antioxidant enzymes, such as superoxide dismutase (SOD), catalase (CAT), guaiacol peroxidase (POD), and ascorbate peroxidase (APX) in the roots of the plants grown in both the 1NR and 2NR solutions compared to plants grown in the new nutrient solution. The higher level of lipid peroxidation due to the higher MDA (malondialdehyde) content and higher soluble protein content were also observed in the roots of those plants. It was evident that lettuce root damage occurred due to accumulation of the allelochemicals in the 1NR and 2NR solutions. These damaged roots could not function normally nor uptake water and minerals from the culture solution. As a result, retarded lettuce growth was observed in the 1NR and 2NR solutions. The oxidative damage, soluble protein content, lipid peroxidation and ultimately growth retardation were more pronounced in the plants grown in the 2NR solution compared to the plants grown in the 1NR solution. The application of ED to the 1NR and 2NR solutions maintained the plant growth through less oxidative damage, soluble protein production and lipid peroxidation as was observed in the plants grown with the new nutrient solution. Therefore, the ED of a non-renewed culture solution would alleviate the allelochemical stress in lettuce under recycled hydroponics.

Effect of growth stage at cutting on yield and quality of lucerne cultivars from different dormancy groups in northern Victoria

1987 ◽  
Vol 27 (1) ◽  
pp. 55 ◽  
Author(s):  
RH Slarke ◽  
WK Mason
Keyword(s):  
Protein Content ◽  
Crude Protein ◽  
Dry Matter ◽  
Growth Stage ◽  
In Vitro Digestibility ◽  
Growth Stages ◽  
Flower Bud ◽  
Yield And Quality

At Kyabram, Victoria, the effects of growth stage at cutting on dry matter (DM) yield and quality of lucerne was determined during the warm season haymaking period for cultivars with contrasting winter dormancy characteristics. Growth stages at cutting were pre-flower bud, flower-bud, 10% bloom and full bloom. Cultivars were winter non-dormant CUF 101 and Pioneer Brand 572, semi-winter dormant Pioneer Brand 581 and winter dormant Pioneer Brand 545. Cultivar responses or interactions between cultivar and growth stage at cutting were not significant (P>0.05) for dry matter yield, crude protein or in vitro digestibility. Cutting of the pre-flower bud stage, compared with cutting at the 10% bloom stage, reduced DM yield by 18% (16.4 v. 13.5 t/ha), but increased crude protein content of the lucerne from 19.3 to 24%. The total protein yield per hectare was not affected by cutting stages from pre-flower bud stage to 10% bloom. Cutting lucerne at the flower bud stage rather than at 10% bloom gave increased protein content and digestibility with only a moderate yield decline. However, more frequent cutting was unsatisfactory as it decreased the density of the stand and increased the proportion of weeds and so could not be recommended.

scholarly journals Global Transcriptome and Weighted Gene Co-expression Network Analyses of Growth-Stage-Specific Drought Stress Responses in Maize

2021 ◽  
Vol 12 ◽  
Author(s):  
Songtao Liu ◽  
Tinashe Zenda ◽  
Anyi Dong ◽  
Yatong Yang ◽  
Nan Wang ◽  
...  
Keyword(s):  
Drought Stress ◽  
Drought Tolerance ◽  
Transcriptome Analysis ◽  
Stress Responses ◽  
Growth Stage ◽  
Molecular Mechanisms ◽  
Grain Filling ◽  
Growth Stages ◽  
Specific Response ◽  
Network Analyses

Drought is the major abiotic stress threatening maize (Zea mays L.) production globally. Despite recent scientific headway in deciphering maize drought stress responses, the overall picture of key genes, pathways, and co-expression networks regulating maize drought tolerance is still fragmented. Therefore, deciphering the molecular basis of maize drought tolerance remains pertinent. Here, through a comprehensive comparative leaf transcriptome analysis of drought-tolerant hybrid ND476 plants subjected to water-sufficient and water-deficit treatment conditions at flared (V12), tasseling (VT), the prophase of grain filling (R2), and the anaphase of grain filling (R4) crop growth stages, we report growth-stage-specific molecular mechanisms regulating maize drought stress responses. Based on the transcriptome analysis, a total of 3,451 differentially expressed genes (DEGs) were identified from the four experimental comparisons, with 2,403, 650, 397, and 313 DEGs observed at the V12, VT, R1, and R4 stages, respectively. Subsequently, 3,451 DEGs were divided into 12 modules by weighted gene co-expression network analysis (WGCNA), comprising 277 hub genes. Interestingly, the co-expressed genes that clustered into similar modules exhibited diverse expression tendencies and got annotated to different GO terms at different stages. MapMan analysis revealed that DEGs related to stress signal transduction, detoxification, transcription factor regulation, hormone signaling, and secondary metabolites biosynthesis were universal across the four growth stages. However, DEGs associated with photosynthesis and amino acid metabolism; protein degradation; transport; and RNA transcriptional regulation were uniquely enriched at the V12, VT, R2, and R4 stages, respectively. Our results affirmed that maize drought stress adaptation is a growth-stage-specific response process, and aid in clarifying the fundamental growth-stage-specific mechanisms regulating drought stress responses in maize. Moreover, genes and metabolic pathways identified here can serve as valuable genetic resources or selection targets for further functional validation experiments.

scholarly journals Improvement of Wheat Grain Yield Prediction Model Performance Based on Stacking Technique

2021 ◽  
Vol 11 (24) ◽  
pp. 12164
Author(s):  
Changchun Li ◽  
Yilin Wang ◽  
Chunyan Ma ◽  
Weinan Chen ◽  
Yacong Li ◽  
...  
Keyword(s):  
Prediction Model ◽  
Grain Yield ◽  
Growth Stage ◽  
Prediction Models ◽  
Vegetation Indices ◽  
Model Performance ◽  
Grain Filling ◽  
Growth Stages ◽  
Wheat Grain ◽  
Area Index

Crop growth and development is a dynamic and complex process, and the essence of yield formation is the continuous accumulation of photosynthetic products from multiple fertility stages. In this study, a new stacking method for integrating multiple growth stages information was proposed to improve the performance of the winter wheat grain yield (GY) prediction model. For this purpose, crop canopy hyperspectral reflectance and leaf area index (LAI) data were obtained at the jointing, flagging, anthesis and grain filling stages. In this case, 15 vegetation indices and LAI were used as input features of the elastic network to construct GY prediction models for single growth stage. Based on Stacking technique, the GY prediction results of four single growth stages were integrated to construct the ensemble learning framework. The results showed that vegetation indices coupled LAI could effectively overcome the spectral saturation phenomenon, the validated R2 of each growth stage was improved by 10%, 22.5%, 3.6% and 10%, respectively. The stacking method provided more stable information with higher prediction accuracy than the individual fertility results (R2 = 0.74), and the R2 of the model validation phase improved by 236%, 51%, 27.6%, and 12.1%, respectively. The study can provide a reference for GY prediction of other crops.

Effect of hexavalent chromium [Cr(VI)] stress in roots of Cr-tolerant and Cr-sensitive barley cultivars

2012 ◽  
Vol 60 (1) ◽  
pp. 29-36 ◽  
Author(s):  
M. Yildiz ◽  
H. Terzi
Keyword(s):  
Oxidative Stress ◽  
Lipid Peroxidation ◽  
Antioxidant Enzymes ◽  
Protein Content ◽  
Dehydrogenase Activity ◽  
Total Soluble Protein ◽  
Guaiacol Peroxidase ◽  
Sod Activity ◽  
Barley Cultivars ◽  
Significant Difference

The effect of different chromium [Cr(VI)] concentrations (0, 75, 150 and 225 μM) on dehydrogenase activity, total soluble protein, proline, malondialdehyde (MDA) and antioxidant enzymes was investigated in the roots of two barley cultivars (Cr-tolerant Zeynelağa and Cr-sensitive Orza-96) in hydroponic experiments. The root dehydrogenase activity and protein content decreased with an increase in the Cr(VI) concentration, but no significant difference was found between the two barley cultivars. Cr(VI) stress increased the contents of proline and MDA in both cultivars, but this effect was more pronounced in Orza-96 than in Zeynelağa. The activities of antioxidant enzymes, including superoxide dismutase (SOD), ascorbate peroxidase (APX) and guaiacol peroxidase (POD), exhibited changes. The SOD activity increased in Zeynelağa and decreased in Orza-96 at 225 μM Cr(VI) compared to their controls. Cr(VI) stress decreased the APX and POD activities. Zeynelağa had greater APX activity than Orza-96 at 150 and 225 μM Cr(VI). However, there was no marked difference in POD activities between the two cultivars. The decrease in root dehydrogenase activity and protein content, the increase in proline and lipid peroxidation, and the alterations in the activities of antioxidant enzymes may be indicative of oxidative stress induced by Cr(VI).

scholarly journals Prediction of crude protein and classification of the growth stage of wheat plant samples from NIR spectra

2004 ◽  
Vol 142 (5) ◽  
pp. 517-524 ◽  
Author(s):  
F. GATIUS ◽  
J. LLOVERAS ◽  
J. FERRAN ◽  
J. PUY
Keyword(s):  
Protein Content ◽  
Crude Protein ◽  
Growth Stage ◽  
Near Infrared ◽  
Wheat Plant ◽  
Global Model ◽  
Growth Stages ◽  
Crude Protein Content ◽  
Validation Set

Near-infrared spectroscopy (NIRS) was used to analyse the crude protein content of dried and milled samples of wheat and to discriminate samples according to their stage of growth. A calibration set of 72 samples from three growth stages of wheat (tillering, heading and harvest) and a validation set of 28 samples was collected for this purpose. Principal components analysis (PCA) of the calibration set discriminated groups of samples according to the growth stage of the wheat. Based on these differences, a classification procedure (SIMCA) showed a very accurate classification of the validation set samples: all of them were successfully classified in each group using this procedure when both the residual and the leverage were used in the classification criteria. Looking only at the residuals all the samples were also correctly classified except one of tillering stage that was assigned to both tillering and heading stages. Finally, the determination of the crude protein content of these samples was considered in two ways: building up a global model for all the growth stages, and building up local models for each stage, separately. The best prediction results for crude protein were obtained using a global model for samples in the two first growth stages (tillering and heading), and using a local model for the harvest stage samples.

The Effect of Different Drought Stress on Antioxidant Enzymes and Lipid Peroxidation on Zoysia japonica

2012 ◽  
Vol 518-523 ◽  
pp. 5489-5492
Author(s):  
Zhong Lin Chen ◽  
Su Nan Xu ◽  
Yue Li ◽  
Shi Xie ◽  
Li Xia Fan ◽  
...  
Keyword(s):  
Lipid Peroxidation ◽  
Drought Stress ◽  
Field Capacity ◽  
Guaiacol Peroxidase ◽  
Severe Drought ◽  
Zoysia Japonica ◽  
Sod Activity ◽  
Moderate Drought ◽  
Mda Content ◽  
Mild Drought

The objective of this study was to understand the effects of mild, moderate and severe drought stress on zoysiagrass(Zoysia japonica). Superoxide dismutase (SOD), guaiacol peroxidase (POD), catalase (CAT), and malondialdehyde (MDA) content were investigated. Mild drought(60%-70% of field capacity), moderate drought(45%-55% of field capacity), and severe drought (25%-35% of field capacity) were remained for 16 days. A gradual increase was observed in SOD activity of Zoysiagrass from 1 to13 days of drought stress in all treatments. POD and CAT activity, and lipid peroxidation increased in all treatments, and maximum change was happened in severe drought group. Severe drought has more serious damage to Zoysia japonica than mild drought and moderate drough. This suggests that Zoysiagrass has excellent drought tolerance and its ability to survive in the drought environment is very strong.

scholarly journals Combining Genomic and Phenomic Information for Predicting Grain Protein Content and Grain Yield in Spring Wheat

2021 ◽  
Vol 12 ◽  
Author(s):  
Karansher S. Sandhu ◽  
Paul D. Mihalyov ◽  
Megan J. Lewien ◽  
Michael O. Pumphrey ◽  
Arron H. Carter
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Spring Wheat ◽  
Grain Filling ◽  
Grain Protein Content ◽  
Spectral Information ◽  
Grain Protein ◽  
Growth Stages ◽  
Prediction Ability ◽  
Secondary Traits

Genomics and high throughput phenomics have the potential to revolutionize the field of wheat (Triticum aestivum L.) breeding. Genomic selection (GS) has been used for predicting various quantitative traits in wheat, especially grain yield. However, there are few GS studies for grain protein content (GPC), which is a crucial quality determinant. Incorporation of secondary correlated traits in GS models has been demonstrated to improve accuracy. The objectives of this research were to compare performance of single and multi-trait GS models for predicting GPC and grain yield in wheat and to identify optimal growth stages for collecting secondary traits. We used 650 recombinant inbred lines from a spring wheat nested association mapping (NAM) population. The population was phenotyped over 3 years (2014–2016), and spectral information was collected at heading and grain filling stages. The ability to predict GPC and grain yield was assessed using secondary traits, univariate, covariate, and multivariate GS models for within and across cycle predictions. Our results indicate that GS accuracy increased by an average of 12% for GPC and 20% for grain yield by including secondary traits in the models. Spectral information collected at heading was superior for predicting GPC, whereas grain yield was more accurately predicted during the grain filling stage. Green normalized difference vegetation index had the largest effect on the prediction of GPC either used individually or with multiple indices in the GS models. An increased prediction ability for GPC and grain yield with the inclusion of secondary traits demonstrates the potential to improve the genetic gain per unit time and cost in wheat breeding.

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