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- W3125911312 endingPage "243" @default.
- W3125911312 startingPage "243" @default.
- W3125911312 abstract "Plant growth and development is adversely affected by different kind of stresses. One of the major abiotic stresses, salinity, causes complex changes in plants by influencing the interactions of genes. The modulated genetic regulation perturbs metabolic balance, which may alter plant’s physiology and eventually causing yield losses. To improve agricultural output, researchers have concentrated on identification, characterization and selection of salt tolerant varieties and genotypes, although, most of these varieties are less adopted for commercial production. Nowadays, phenotyping plants through Machine learning (deep learning) approaches that analyze the images of plant leaves to predict biotic and abiotic damage on plant leaves have increased. Here, we review salinity stress related markers on molecular, physiological and morphological levels for crops such as maize, rice, ryegrass, tomato, salicornia, wheat and model plant, Arabidopsis. The combined analysis of data from stress markers on different levels together with image data are important for understanding the impact of salt stress on plants." @default.
- W3125911312 created "2021-02-01" @default.
- W3125911312 creator A5040692265 @default.
- W3125911312 creator A5054302597 @default.
- W3125911312 creator A5078214230 @default.
- W3125911312 creator A5081531105 @default.
- W3125911312 date "2021-01-27" @default.
- W3125911312 modified "2023-10-11" @default.
- W3125911312 title "Morphological, Physiological and Molecular Markers for Salt-Stressed Plants" @default.
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