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Cushion of mathematical modeling-more reliable approach for biochemical analysis in evaluating salinity stress tolerance in wheat

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Abstract

Salinity is the major abiotic stress declining the crop production worldwide. The cultivation of genotypes under salinity affected area requires a comprehensive analysis of plant responses to understand the genetic basis. The present study aimed to determine the level of salt stress tolerance among bread wheat lines using biochemical traits in order to select promising wheat lines for breeding. Twenty four wheat lines (20LTPs and 4 standardized checks) were evaluated at vegetative, flowering and grain filling stages to different level of salinity. The percent change on quantitative biochemical traits and comprehensive relative salt tolerance of the lines was used to identify the salt tolerant wheat lines at different level of salinity (0, 50, 100 and 150 mM NaCl stress) in the pot condition during the wheat growing season 2020–2021. It has been based on chlorophyll pigments, carotenoids, total soluble sugars, proline, malondialdehyde, membrane stability index and total soluble protein content. The LTP15 and LTP16 are suggested to be salt tolerant lines while LTP5 and LTP1 are susceptible one. The rank has been given to the studied lines based on relative salt tolerance at the different growth stages on the basis of their combined response. Kh65 and KRL210 stand for first and second rank and followed by LTP15 and LTP16 in most of the growth stages at 150 mM salt stress condition. We infer that using comprehensive relative salt tolerance at the different growth-stages can speed up the screening for salinity/stress-tolerant traits in crop improvement.

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Acknowledgements

Author would like to thanks to Council of scientific and industrial research, New Delhi, India for supported the research work.

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Authors and Affiliations

  1. Department of Botany, Punjab Agricultural University Ludhiana, Punjab, 141004, India

    Anuj Choudhary, Antul Kumar, Nirmaljit Kaur & Harmanjot Kaur

  2. Department of Plant Breeding and Genetics, Punjab Agricultural University Ludhiana, Punjab, 141004, India

    Achla Sharma

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  1. Anuj Choudhary
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  2. Antul Kumar
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  3. Nirmaljit Kaur
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  4. Achla Sharma
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  5. Harmanjot Kaur
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Contributions

The primary draft of the paper was designed by AC. AS, AK, NK and HK help in the establishment of script. NK and AK reviewed the content and well approved by HK, AK, and AS. AK and NK examined the final draft and actively engaged in prepared the table and figure and section. The statistical tools applied by AC, on data and well supported by NK, HK, AK. Additionally AK, NK and HK examined the manuscript at each phase of manuscript writing and offered crucial advice. All authors carefully observed the content and approved the submitted version of the paper.

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Correspondence to Anuj Choudhary.

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Communicated by Yizhou Wang.

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Choudhary, A., Kumar, A., Kaur, N. et al. Cushion of mathematical modeling-more reliable approach for biochemical analysis in evaluating salinity stress tolerance in wheat. Plant Growth Regul 101, 331–344 (2023). https://doi.org/10.1007/s10725-023-01021-0

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  • DOI: https://doi.org/10.1007/s10725-023-01021-0

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