Spectral indices for the detection of salinity effects in melon plants

Hernández, Encarni I.; Melendez-Pastor, Ignacio; Pedreño, José Navarro; Gómez, Ignacio

doi:10.1590/0103-9016-2013-0338

Cited by 54 publications

(17 citation statements)

References 41 publications

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“…() reported that increasing levels of soil salinity generally induced a decrease in leaf reflectance in the NIR spectral region. In contrast, Hernández, Melendez‐Pastor, Navarro‐Pedreño, and Gómez () reported that the NIR spectral region from melon plants increased with increasing salinity levels. The NIR value of salt‐sensitive plants decreased with increasing salinity levels, while it increased firstly and then decreased in the salt‐tolerant plants (Wang et al., ; Zhang et al., ).…”

Section: Discussionmentioning

confidence: 91%

“…Therefore, several studies suggest the use of agro-morphological traits such as shoot and leaf parameters, chlorophyll content, salinity injury score, stem reserve utilization for grain filling, and formation and viability of reproductive organs as criteria for classification of crop genotypes for salinity tolerance (De Leon et al, 2015; El-Hendawy, ; El-Hendawy, Hu, Yakout et al, 2005;Hern andez, Melendez-Pastor, Navarro-Pedreño, & G omez, 2014;Hairmansis, Berger, Tester, & John Roy, 2014;Kaya, Tuna, Ashraf, & Altunlu, 2007;Montes, Technow, Dhillon, Mauch, & Melchinger, 2011). However, efficient evaluation of salt tolerance too often requires assessing genotypes based on multiple favourable traits at different growth stages (De Leon et al, 2015;El-Hendawy, Hu, Yakout et al, 2005;El-Hendawy, Hu, & Schmidhalter, 2007;Zeng et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

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On the use of spectral reflectance indices to assess agro‐morphological traits of wheat plants grown under simulated saline field conditions

El-Hendawy

Hassan

Refay

et al. 2017

J Agronomy Crop Science

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Successful breeding of plants for salinity stress tolerance requires realistic growing conditions and fast, non-destructive evaluation techniques for phenotypic traits associated with salinity tolerance. In this study, we used subsurface water retention technique (SWRT) as a growing condition and spectral measurements as an evaluation method to assess different agro-morphological traits of salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat genotypes under three salinity levels (control, 60, and 120 mM NaCl). The effects of salinity on agro-morphological traits were evaluated and related with forty-five published vegetation-and water-spectral reflectance indices (SRIs) taken at both the heading and grain milk growth stages for each salinity level, genotype, and growth stage. In general, the agro-morphological traits gradually decreased as salinity levels increased; however, the reduction in these traits was more pronounced in Sakha 61 than in Sakha 93. The effect of salinity levels and their interaction with genotypes on the SRIs was only evident at the grain milk stage. The performance of the spectral reflectance indices depicted that the closest associations with agro-morphological traits depended on salinity level, degree of salt tolerance of the genotypes, and growth stage. The SRI-based vegetative indices correlated better with growth and yield of Sakha 93 than SRI-based water indices and vice versa for Sakha 61. The SRI-based vegetative and water indices are effective for assessment of agro-morphological traits at early growth stages under high salinity level. The functional relationship between grain yield per hectare and the best SRIs was linear for the high salinity level and Sakha 61; however, the quadratic model was found to best fit this relationship for the control, moderate salinity level, and Sakha 93. The overall results indicate that the usefulness of the SRIs for assessment of traits associated with salinity tolerance is limited to salinity level and growth stage.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

On the use of spectral reflectance indices to assess agro‐morphological traits of wheat plants grown under simulated saline field conditions

El-Hendawy

Hassan

Refay

et al. 2017

J Agronomy Crop Science

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“…Our findings are in agreement with previous results demonstrating the effects of NaCl stress on SLA. Tedeschi et al (2011) and Hernández et al (2014) found an increase in SLA in melon grown under salt stress.…”

Section: Vegetative Characteristicsmentioning

confidence: 95%

Change in antioxidant enzymes activity and some morpho-physiological characteristics of strawberry under long-term salt stress

Ghaderi

Hatami

Mozafari

et al. 2018

Physiol Mol Biol Plants

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The effects of long term salinity on some morpho-physiological characteristics were studied in strawberry Kurdistan and Queen elisa cultivars. Vegetative and biochemical traits were measured in strawberry cultivars subjected to three levels of salinity including 0, 40 and 80 mM at 20, 40 and 60th days after NaCl addition. Results showed that in both cultivars the dry weight of plant organs decreased in response to NaCl, except of crown weight in cv. Kurdistan. Root to shoot ratio increased due to a greater reduction in above ground biomass under salinity. Strawberry cultivars tended to decrease their stomatal conductance, RWC, proline, soluble carbohydrates and proteins during the different evaluation periods. Compared to the 20th day, peroxidase activity decreased at 80 mM during 40 and 60 days in cv. Queen elisa. On the contrary, ascorbate peroxidase activity elevated until the 40th day and decreased afterwards, in addition application of 40 and 80 mM NaCl increased the ascorbate peroxidase activity of both studied cultivars. Catalase activity increased from 20th until 60th days in cv. Queen elisa, while showed increase in cv. Kurdistan until day 40 and then decreased again at day 60. Application of 40 and 80 mM NaCl resulted in an increase in peroxidase, ascorbate peroxidase and catalase activities of both cultivars. The Queen elisa cv. showed lower tolerance index (45.88%) compared with cv. Kurdistan (67.97%). Finally, higher salinity resistance of cv. Kurdistan is probably associated with its ability to maintain higher RWC and higher activity of antioxidant enzymes.

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“…This behavior of spectral reflectance is associated with a decrease in Chl content (low chlorophyll absorption in the VIS region) and plant biomass (multiple scattering of NIR region by different leaf tissues) because of salinity stress. Previous studies have reported that when the Chl content decreases, the spectral reflectance in the VIS region increases especially in the main absorption bands of chlorophyll (blue: 400-500 nm and red: 660-690 nm) of the VIS spectrum [13,[63][64][65]. In addition, decreased biomass accumulation and substantial changes in several leaf structures because of ion toxicity and imbalance of salinity stress leads to decreased spectral reflectance in the NIR region, because of a multiplicative effect on the wavebands in the NIR region [30,59,65].…”

Section: Performance Of Different Types Of Spectral Reflectance Indexmentioning

confidence: 99%

Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions

El-Hendawy

Elsayed

Al-Suhaibani

et al. 2021

Plants

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The application of proximal hyperspectral sensing, using simple vegetation indices, offers an easy, fast, and non-destructive approach for assessing various plant variables related to salinity tolerance. Because most existing indices are site- and species-specific, published indices must be further validated when they are applied to other conditions and abiotic stress. This study compared the performance of various published and newly constructed indices, which differ in algorithm forms and wavelength combinations, for remotely assessing the shoot dry weight (SDW) as well as chlorophyll a (Chla), chlorophyll b (Chlb), and chlorophyll a+b (Chlt) content of two wheat genotypes exposed to three salinity levels. Stepwise multiple linear regression (SMLR) was used to extract the most influential indices within each spectral reflectance index (SRI) type. Linear regression based on influential indices was applied to predict plant variables in distinct conditions (genotypes, salinity levels, and seasons). The results show that salinity levels, genotypes, and their interaction had significant effects (p ≤ 0.05 and 0.01) on all plant variables and nearly all indices. Almost all indices within each SRI type performed favorably in estimating the plant variables under both salinity levels (6.0 and 12.0 dS m−1) and for the salt-sensitive genotype Sakha 61. The most effective indices extracted from each SRI type by SMLR explained 60%–81% of the total variability in four plant variables. The various predictive models provided a more accurate estimation of Chla and Chlt content than of SDW and Chlb under both salinity levels. They also provided a more accurate estimation of SDW than of Chl content for salt-tolerant genotype Sakha 93, exhibited strong performance for predicting the four variables for Sakha 61, and failed to predict any variables under control and Chlb for Sakha 93. The overall results indicate that the simple form of indices can be used in practice to remotely assess the growth and chlorophyll content of distinct wheat genotypes under saline field conditions.

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Spectral indices for the detection of salinity effects in melon plants

Cited by 54 publications

References 41 publications

On the use of spectral reflectance indices to assess agro‐morphological traits of wheat plants grown under simulated saline field conditions

On the use of spectral reflectance indices to assess agro‐morphological traits of wheat plants grown under simulated saline field conditions

Change in antioxidant enzymes activity and some morpho-physiological characteristics of strawberry under long-term salt stress

Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions

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