The effect of strobilurin on ethylene production in flowers, yield and quality parameters of processing tomato grown under a moderate water stress condition in Mediterranean area

2019 ◽  
Vol 249 ◽  
pp. 155-161 ◽  
Author(s):  
Marcella Michela Giuliani ◽  
Anna Gagliardi ◽  
Eugenio Nardella ◽  
Federica Carucci ◽  
Maria Luisa Amodio ◽  
...  
Keyword(s):  
Water Stress ◽  
Ethylene Production ◽  
Stress Condition ◽  
Mediterranean Area ◽  
Quality Parameters ◽  
Processing Tomato ◽  
Yield And Quality ◽  
Water Stress Condition

Water Stress Induced Changes in Seed quality of Fenugreek (Trigonella foenum- graecum L.) Genotypes

2021 ◽  
Author(s):  
B.K. Ghosaliya ◽  
G.K. Mittal ◽  
A.C. Shivran ◽  
S.K. Sharma ◽  
S.N. Saxena ◽  
...  
Keyword(s):  
Water Stress ◽  
Crude Protein ◽  
Stress Condition ◽  
Seed Quality ◽  
Quality Parameters ◽  
Stress Conditions ◽  
Water Stress Condition ◽  
Total Oil ◽  
Trigonella Foenum Graecum L

Background: Seed quality of fenugreek is determined by its primary metabolites and an alkaloid diosgenin. Apart from these fenugreek seeds contains total oil, saponins, carbohydrates, protein and major nutrients. Seeds are bitter in taste due to presence of an alkaloid “trigonelline”. In India, major cultivated area of fenugreek is still dependent on conserved moisture and moisture stress conditions reduces its productivity.Methods: A field experiment was carried out in randomized block design (RBD) with three replications during Rabi 2016-2017. Performance of ten fenugreek genotypes was evaluated on the basis of seed quality parameters under normal and water stress condition. Seed samples from both normal and water stressed plant were used for quality analysis in laboratory. Analysis of different quality parameters was done by using standard methods and protocol.Result: Water stress was found to increase seed total oil, saponins and diosgenine content in all the genotypes. Genotypes RMt-1, RMt-305 and RMt-143 were able to accumulate significantly higher total oil and diosgenine content in normal as well as water stress conditions. Water stress condition induced more saponins synthesis in genotype RMt-361 and RMt-351 while crude protein and total carbohydrate declined in all the genotypes. The minimum decrease in crude protein and carbohydrate due to water stress was recorded in genotype RMt-351 and genotypes Hisar Sonali respectively. Moisture was found to decrease in all the genotypes under influence of water stress conditions, minimum (13.75%) being observed in genotype RMt-305. Maximum seed yield was recorded in genotype RMt-361 both under normal as well as water stress conditions. Genotype RMt-1 had least reduction in yield under water stress condition (3.54%). Results suggested that a significant genotypic variation in seed quality parameters of fenugreek genotypes induced through stress may be utilize to introduce novelty of different purpose for developing new cultivars.

scholarly journals Effects of composted oil palm bunch wastes and chemical fertilizer on growth of oil palm seedling under water stress condition

Agro-Science ◽  
2015 ◽  
Vol 12 (1) ◽  
pp. 17
Author(s):  
S Ovie ◽  
GU Nnaji ◽  
PO Oviasogie ◽  
PE Osayande ◽  
P Irhemu
Keyword(s):  
Water Stress ◽  
Oil Palm ◽  
Stress Condition ◽  
Chemical Fertilizer ◽  
Water Stress Condition ◽  
Palm Bunch

scholarly journals Competition between drought-tolerant upland rice cultivars and weeds under water stress condition

2013 ◽  
Vol 31 (2) ◽  
pp. 291-302 ◽  
Author(s):  
F.B. Cerqueira ◽  
E.A.L. Erasmo ◽  
J.I.C. Silva ◽  
T.V. Nunes ◽  
G.P. Carvalho ◽  
...  
Keyword(s):  
Water Stress ◽  
Leaf Area ◽  
Stress Condition ◽  
Upland Rice ◽  
Total Concentration ◽  
Dry Weight ◽  
Rice Cultivars ◽  
Drought Tolerant ◽  
Water Stress Condition ◽  
Water Conditions

The objective of this study was to evaluate the competitiveness of two cultivars of upland rice drought-tolerant, cultured in coexistence with weed S. verticillata, under conditions of absence and presence of water stress. The experiment was conducted in a greenhouse at the Experimental Station of the Universidade Federal de Tocantins, Gurupi-TO Campus. The experimental design was completely randomized in a factorial 2 x 2 x 4 with four replications. The treatments consisted of two rice cultivars under two water conditions and four densities. At 57 days after emergence, were evaluated in rice cultivars and weed S. verticillata leaf area, dry weight of roots and shoots and total concentration and depth of roots. Was also evaluated in rice cultivars, plant height and number of tillers. Water stress caused a reduction in leaf area, the concentration of roots and vegetative components of dry matter (APDM, and MSR MST) of rice cultivars and Jatoba Catetão and weed S. verticillata. The competition established by the presence of the weed provided reduction of all vegetative components (MSPA, and MSR MST) of cultivars and Jatoba Catetão. It also decreased the number of tillers, the concentration of roots and leaf area. At the highest level of weed competition with rice cultivars, a greater decrease in vegetative components and leaf area of culture, regardless of water conditions.

scholarly journals Coupling Hyperspectral Remote Sensing Data with a Crop Model to Study Winter Wheat Water Demand

2019 ◽  
Vol 11 (14) ◽  
pp. 1684 ◽  
Author(s):  
Chao Zhang ◽  
Jiangui Liu ◽  
Taifeng Dong ◽  
Elizabeth Pattey ◽  
Jiali Shang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Stress ◽  
Winter Wheat ◽  
Water Demand ◽  
Stress Condition ◽  
Remote Sensing Data ◽  
Crop Model ◽  
Actual Evapotranspiration ◽  
Sensing Data ◽  
Water Stress Condition

Accurate information of crop growth conditions and water status can improve irrigation management. The objective of this study was to evaluate the performance of SAFYE (simple algorithm for yield and evapotranspiration estimation) crop model for simulating winter wheat growth and estimating water demand by assimilating leaf are index (LAI) derived from canopy reflectance measurements. A refined water stress function was used to account for high crop water stress. An experiment with nine irrigation scenarios corresponding to different levels of water supply was conducted over two consecutive winter wheat growing seasons (2013–2014 and 2014–2015). The calibration of four model parameters was based on the global optimization algorithms SCE-UA. Results showed that the estimated and retrieved LAI were in good agreement in most cases, with a minimum and maximum RMSE of 0.173 and 0.736, respectively. Good performance for accumulated biomass estimation was achieved under a moderate water stress condition while an underestimation occurred under a severe water stress condition. Grain yields were also well estimated for both years (R2 = 0.83; RMSE = 0.48 t∙ha−1; MRE = 8.4%). The dynamics of simulated soil moisture in the top 20 cm layer was consistent with field observations for all scenarios; whereas, a general underestimation was observed for total water storage in the 1 m layer, leading to an overestimation of the actual evapotranspiration. This research provides a scheme for estimating crop growth properties, grain yield and actual evapotranspiration by coupling crop model with remote sensing data.

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