| Literature DB >> 35574280 |
Fazal Munsif1, Tariq Shah2, Muhammad Arif3, Muhammad Jehangir4, Muhammad Zahir Afridi3, Ijaz Ahmad5, Basit Latief Jan6, Saleh Alansi7.
Abstract
Improving physio-biochemical traits in wheat under drought stress conditions has received more research attention in recent years for better adaptability and higher yield. In this study, we explored the potential bio-physiological mechanisms underlying improved plant growth and water use efficiency in wheat following soil application of potassium (0 and 100 kg ha-1) and seed primed salicylic acid (SA) (150 mg per L) and SA foliar application (100 mg per L) under drought stresses (100%, 60% and 30% FC). Two years' average data revealed that inducing drought stress resulted in a decrease in plant pigments content, growth traits, and plant water status however, the influence was substantially reduced with the combined application of K and SA under drought stress conditions. The SA foliar spray in combination with K had increased chlorophyll a (174% and 83%), chl b (130% and 192%), chl a + b (156% and 120), carotenoid (22% and 11%), proline contents (24% and 29%) leaf relative water content (24% and 29%) while reduced leaf WSD (17% and 20%), WRC (6% and 7%), and WUC (23% and 28%) under mild and severe drought stresses, respectively. The increase in grain yield by 41% and 37% with enhanced water use efficiency was obtained with combined foliar SA and K under mild and severe drought stress, respectively indicating its vital role in overcoming the deleterious effects of drought via regulation of osmotic and metabolic processes and stabilizes cell components. RDA analysis revealed that the studied traits were completely discriminated under severe stress than mild or no drought stress. A positive and significant association was found between plant pigments with seed yield whereas a negative and significant correlation existed between water leaf traits and plant pigments. It was concluded that both foliar SA and seed primed SA with K fertilization combat the adverse effects of drought and improved plant water status as well as growth and bio-physiological traits of wheat under drought stress conditions.Entities:
Keywords: Drought stress; Foliar spray; Plant pigments; Potassium fertilization; Salicylic acid; Seed priming
Year: 2022 PMID: 35574280 PMCID: PMC9093005 DOI: 10.1016/j.sjbs.2022.103294
Source DB: PubMed Journal: Saudi J Biol Sci ISSN: 2213-7106 Impact factor: 4.052
Monthly maximum, minimum and mean temperature, and rainfall data of the experimental site during the experiment.
| Months | Max Temp (°C) | Min Temp (°C) | Average Temp (°C) | Rainfall (mm) |
|---|---|---|---|---|
| Dec-17 | 21.0 | 13.0 | 17.0 | 13.2 |
| Jan-18 | 21.0 | 11.0 | 16.0 | 0.83 |
| Feb-18 | 21.0 | 12.0 | 16.5 | 35.8 |
| Mar-18 | 28.0 | 19.0 | 23.5 | 34.5 |
| Apr-18 | 33.0 | 15.0 | 29.0 | 75.3 |
| May-18 | 35.0 | 24.0 | 30.0 | 28.6 |
Fig. 1Effect of salicylic acid and potassium on relative water content of wheat under drought.
Combine application of SA and K on leaf water status (WSD, WRC and WUC) under drought stress.
| Treatments | WSD (%) | WRC | WUC | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Field capacity | Field capacity | Field capacity | |||||||||
| 100% | 70% | 40% | 100% | 70% | 40% | 100% | 70% | 40% | |||
| 2016–17 | 0 K | CK | 20.5a | 36.4a | 44.2a | 5.40a | 6.41a | 8.33a | 0.90a | 1.97a | 3.24a |
| SP | 20.0a | 28.6b | 35.3b | 5.10a | 5.81b | 6.03bc | 0.82a | 1.38b | 1.78c | ||
| FS | 19.7a | 25.5c | 34.7b | 5.33a | 5.84b | 6.07bc | 0.85a | 1.23c | 1.76c | ||
| 100 K | CK | 18.3ab | 30.2b | 35.5b | 5.34a | 5.85b | 6.42b | 0.79a | 1.46b | 1.92b | |
| SP | 16.4bc | 25.4c | 31.8c | 4.24b | 5.45bc | 6.36b | 0.52b | 1.13c | 1.70c | ||
| FS | 14.8c | 22.5d | 30.3c | 5.14a | 5.20c | 5.94c | 0.61b | 0.94d | 1.49d | ||
| Mean | 18.3C | 28.1B | 35.3A | 5.09C | 5.76B | 6.52A | 0.75C | 1.35B | 1.98A | ||
| 2017–18 | 0 K | CK | 26.45a | 36.54a | 42.61a | 5.29ab | 5.77b | 8.04a | 1.14a | 1.74a | 3.00a |
| SP | 21.57b | 27.59b | 34.17c | 5.13b | 5.23c | 6.59bc | 0.89b | 1.17c | 1.91c | ||
| FS | 17.27cd | 24.27c | 34.14c | 5.22ab | 7.34a | 6.32c | 0.73bc | 1.54b | 1.82c | ||
| 100 K | CK | 18.33c | 27.72b | 37.21b | 4.99b | 5.92b | 6.75b | 0.73bc | 1.36b | 2.14b | |
| SP | 15.97de | 29.16b | 29.69c | 5.51a | 5.69b | 6.35c | 0.72bc | 1.37b | 1.59d | ||
| FS | 15.07e | 24.53c | 26.68e | 5.33ab | 5.18c | 5.76d | 0.65c | 1.03c | 1.27e | ||
| Mean | 19.11C | 28.30B | 34.08A | 5.24C | 5.85B | 6.64A | 0.81C | 1.37B | 1.96A | ||
| SOV | WSD | WRC | WUC | ||||||||
| Year(Y) | Ns | Ns | ** | ||||||||
| Drought(D) | ** | ** | ** | ||||||||
| D × Y | * | Ns | Ns | ||||||||
| Salicylic acid(SA) | ** | ** | ** | ||||||||
| Potassium (K) | ** | ** | ** | ||||||||
| SA × Y | Ns | Ns | ** | ||||||||
| D × SA | ** | ** | ** | ||||||||
| K × Y | Ns | Ns | ns | ||||||||
| D × K | ** | ** | ** | ||||||||
| SA × K | ** | ** | ** | ||||||||
| SA × K × Y | Ns | * | * | ||||||||
| * | Ns | * | |||||||||
| D × SA × K | ** | ** | ** | ||||||||
| D × SA × K × Y | ** | ** | ** | ||||||||
ns non significant, ** significant at 1% level of probability, * significant at 5% level of probability.
Fig. 2Effect of salicylic acid and potassium on CGR of wheat under drought stress during 2016–18.
Fig. 3Effect of salicylic acid and potassium on LAI of wheat under drought stress during 2016–18.
Fig. 4Effect of salicylic acid and potassium on carotenoid content of wheat under drought stress during 2016–18.
Combine application of SA and K on Chl a, Chl b and total chlorophyll of wheat under drought stress.
| Treatments | 0D | 1D | 2D | 0D | 1D | 2D | 0D | 1D | 2D | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016–17 | 0 K | CK | 1.76c | 0.80c | 0.68d | 0.81b | 0.52e | 0.36d | 2.57e | 1.32e | 1.04c |
| SP | 2.02b | 0.90c | 1.05bc | 1.01b | 0.84de | 0.81bc | 3.03d | 1.74d | 1.86b | ||
| FS | 2.26a | 0.95c | 0.95bc | 0.98b | 0.95bc | 0.71c | 3.24cd | 1.90d | 1.66b | ||
| 100 K | CK | 2.02b | 1.45b | 0.92cd | 1.28a | 0.72de | 0.78bc | 3.30bc | 2.17c | 1.70b | |
| SP | 2.19ab | 2.05a | 1.18ab | 1.45a | 1.11ab | 0.96ab | 3.65a | 3.16b | 2.15a | ||
| FS | 2.15ab | 2.15a | 1.29a | 1.34a | 1.28a | 1.04a | 3.50ab | 3.43a | 2.33a | ||
| Mean | 2.07A | 1.38B | 1.01C | 1.15A | 0.90B | 0.78C | 3.21A | 2.29B | 1.79C | ||
| 2017–18 | 0 K | CK | 1.68d | 0.76c | 0.70c | 0.80d | 0.59c | 0.35d | 2.48d | 1.35e | 1.05c |
| SP | 1.95c | 0.86c | 0.94b | 1.06c | 0.90b | 0.77c | 3.01c | 1.77d | 1.71b | ||
| FS | 2.16a | 0.91c | 0.91b | 0.98c | 0.94b | 0.71c | 3.14bc | 1.86d | 1.62b | ||
| 100 K | CK | 1.99bc | 1.41b | 0.83bc | 1.27b | 0.71c | 0.80bc | 3.25b | 2.13c | 1.63b | |
| SP | 2.16ab | 2.01a | 1.20a | 1.45a | 1.18a | 0.96ab | 3.61a | 3.19b | 2.16a | ||
| FS | 2.12abc | 2.11a | 1.24a | 1.38ab | 1.28a | 1.02a | 3.50a | 3.39a | 2.26a | ||
| Mean | 2.01A | 1.35B | 0.97C | 1.16A | 0.93B | 0.77C | 3.17A | 2.28B | 1.74C | ||
| SOV | Chl | Chl | Chl | ||||||||
| Year(Y) | Ns | 1 | Ns | Ns | |||||||
| Drought(D) | ** | 2 | ** | ** | |||||||
| D × Y | Ns | 3 | Ns | Ns | |||||||
| Salicylic acid(SA) | ** | 4 | ** | ** | |||||||
| Potassium (K) | ** | 5 | ** | ** | |||||||
| SA × Y | Ns | 6 | ns | ns | |||||||
| D × SA | Ns | 7 | ** | ** | |||||||
| K × Y | Ns | 8 | ns | ns | |||||||
| D × K | * | 9 | ** | ** | |||||||
| SA × K | Ns | 10 | ns | ns | |||||||
| SA × K × Y | Ns | 11 | ns | ** | |||||||
| Ns | 12 | ns | ns | ||||||||
| D × SA × K | ** | 13 | * | ** | |||||||
| D × SA × K × Y | Ns | 14 | ns | ns | |||||||
ns non significant, ** significant at 1% level of probability, * significant at 5% level of probability.
Fig. 5Effect of salicylic acid and potassium on proline content of wheat under drought stress during 2016–18.
Combine application of SA and K on water use efficiency (WUE) and grain yield (GY) of wheat under drought stress.
| WUE (g m−3) | Grain yield (t ha−1) | |||||||
|---|---|---|---|---|---|---|---|---|
| Treatments | 0D | 1D | 2D | 0D | 1D | 2D | ||
| 2016–17 | 0 K | CK | 0.62b | 0.67c | 0.84d | 3.20b | 2.24c | 1.72c |
| SP | 0.64ab | 0.75b | 0.96c | 3.31b | 2.72b | 1.83bc | ||
| FS | 0.65ab | 0.80b | 1.09b | 3.26b | 3.05a | 2.29a | ||
| 100 K | CK | 0.64ab | 0.81b | 1.06b | 3.22b | 2.72b | 1.94b | |
| SP | 0.71a | 0.90a | 1.16a | 3.56a | 3.07a | 2.31a | ||
| FS | 0.70a | 0.93a | 1.17a | 3.57a | 3.16a | 2.36a | ||
| Mean | 0.66C | 0.81B | 1.05B | 3.35A | 2.83B | 2.07C | ||
| 2017–18 | 0 K | CK | 0.63b | 0.73c | 0.85c | 3.27b | 2.26d | 1.73c |
| SP | 0.66ab | 0.78bc | 0.93b | 3.28b | 2.71c | 1.83b | ||
| FS | 0.68ab | 0.81b | 0.97b | 3.30b | 3.03b | 2.27a | ||
| 100 K | CK | 0.67ab | 0.79b | 0.96b | 3.23b | 2.73c | 1.93b | |
| SP | 0.69a | 0.87a | 1.10a | 3.55a | 3.06ab | 2.27a | ||
| FS | 0.70a | 0.91a | 1.15a | 3.57a | 3.16a | 2.37a | ||
| Mean | 0.67C | 0.81B | 0.99A | 3.37A | 2.82B | 2.07C | ||
| SOV | WUE | GY | ||||||
| Year(Y) | Ns | Ns | ||||||
| Drought(D) | ** | ** | ||||||
| D × Y | * | Ns | ||||||
| Salicylic acid(SA) | ** | ** | ||||||
| Potassium (K) | ** | ** | ||||||
| SA × Y | ns | ns | ||||||
| D × SA | ** | ** | ||||||
| K × Y | Ns | Ns | ||||||
| D × K | ** | ** | ||||||
| SA × K | ns | * | ||||||
| SA × K × Y | Ns | Ns | ||||||
| D × K × Y | Ns | Ns | ||||||
| D × SA × K | ns | ** | ||||||
| D × SA × K × Y | ns | ns | ||||||
Ns non significant, ** significant at 1% level of probability, * significant at 5% level of probability.
Fig. 6Ordination plots of the results from the redundancy analysis (RDA) to identify the relationships among the drought levels for different traits. Samples were analyzed in triplicates. No stress (100 %FC, Mild stress (70 %FC) and Severe stress (30 %FC).
Fig. 7Correlation coefficient matrix for different traits under drought stress. Light and dark red represent the degree of negative correlation. Light and dark blue represent the degree of positive correlation.