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Identification of Salinity Tolerant Stable Sugarcane Cultivars Using AMMI, GGE and Some Other Stability Parameters under Multi Environments of Salinity Stress

Author

Listed:
  • Ravinder Kumar

    (ICAR-Sugarcane Breeding Institute Regional Centre, Karnal 132001, India)

  • Pooja Dhansu

    (ICAR-Sugarcane Breeding Institute Regional Centre, Karnal 132001, India)

  • Neeraj Kulshreshtha

    (ICAR-Sugarcane Breeding Institute Regional Centre, Karnal 132001, India)

  • Mintu Ram Meena

    (ICAR-Sugarcane Breeding Institute Regional Centre, Karnal 132001, India)

  • Mahadevaswamy Huskur Kumaraswamy

    (ICAR-Sugarcane Breeding Institute, Coimbatore 641007, India)

  • Chinnaswamy Appunu

    (ICAR-Sugarcane Breeding Institute, Coimbatore 641007, India)

  • Manohar Lal Chhabra

    (ICAR-Sugarcane Breeding Institute Regional Centre, Karnal 132001, India)

  • Sstish Kumar Pandey

    (ICAR-Sugarcane Breeding Institute Regional Centre, Karnal 132001, India)

Abstract

Additive main effects and multiplicative interaction (AMMI), as well as various AMMI-derived statistics, Genotype, and Genotype × Environment Interaction (GGE) models were employed on 24 sugarcane genotypes planted during two seasons (2017–18, 2018–19) under different induced salinity stress environments using saline water irrigation (iw) viz., E1 (Normal iw during crop season 2017–18), E2 (Normal iw during crop season 2018–19), E3 (4 dsm −1 EC iw during crop season 2017–18), E4 (4 dsm −1 EC iw during crop season 2018–19), E5 (8 dsm −1 EC iw during crop season 2017–18), E6 (8 dsm −1 EC iw during crop season 2018–19), E7 (12 dsm −1 EC iw during crop season 2017–18) and E8 (12 dsm −1 EC iw during crop season 2018–19) to assess the genotype by the environment interaction for the cane yield, commercial cane sugar (CCS) yield, number of millable cane (NMC), single cane weight (SCW), and pol % in juice. Individual and interactive effects of the genotype and environment for all the traits were significant. In the expression of total variability, the environmental contribution was higher for the cane yield (66.98%), CCS yield (67.60%), NMC (65.78%), and SCW (43.27%), whereas genotypic contribution was higher in the expression of pol% (82.48%). As per AMMI Stability Value (ASV), G14 (Co 13033), G23 (Co 15026), G7 (Co 05009), G17 (Co 13036), and G2 (Co 15025) were the most stable genotypes for the cane yield. Whereas as per GSI (genotype selection index), genotypes G24 (Co 15027), G21 (Co 15023), G23 (Co 15026), and G17 (Co 13036) were found most stable. The Sustainability Index (SI) of the cane yield (CY) and its contributing and CY-based computed traits were low for most of the genotypes, which indicates the negative impact of increased levels of irrigation-induced salinity in the expression of these traits. In the mean vs stability biplot analysis, G21 (Co 15023), G24 (Co 15027), G16 (Co 13036), G6 (Co 0238), and G20 (Co 14036) were found to be highly productive and stable genotypes for the cane yield. The superior and stable performance of early maturing notified varieties G21 (Co 15023) and G6 (Co 0238) for CY and CCS yield indicates that they will help the farmers to obtain sustainable income in saline soil conditions.

Suggested Citation

  • Ravinder Kumar & Pooja Dhansu & Neeraj Kulshreshtha & Mintu Ram Meena & Mahadevaswamy Huskur Kumaraswamy & Chinnaswamy Appunu & Manohar Lal Chhabra & Sstish Kumar Pandey, 2023. "Identification of Salinity Tolerant Stable Sugarcane Cultivars Using AMMI, GGE and Some Other Stability Parameters under Multi Environments of Salinity Stress," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1119-:d:1027760
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    References listed on IDEAS

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    1. Pooja Dhansu & Ravinder Kumar & Ashwani Kumar & Krishnapriya Vengavasi & Arun K. Raja & Srinivasavedantham Vasantha & Mintu Ram Meena & Neeraj Kulshreshtha & Shashi K. Pandey, 2022. "Differential Physiological Traits, Ion Homeostasis and Cane Yield of Sub-Tropical Sugarcane Varieties in Response to Long-Term Salinity Stress," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    2. Ravinder Kumar & Mintu Ram Meena & Pooja Dhansu & R. Karuppaiyan & C. Appunu & Neeraj Kulshreshtha & Prashant Kaushik & Bakshi Ram, 2022. "Winter Tolerance Potential of Genetically Diverse Sugarcane Clones under Subtropical Climate of Northern India," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    3. Ajay Kumar, 2014. "Climate Change and Sugarcane Productivity in India: An Econometric Analysis," Journal of Social and Development Sciences, AMH International, vol. 5(2), pages 111-122.
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    Cited by:

    1. Magboul M. Sulieman & Fuat Kaya & Mohammed A. Elsheikh & Levent Başayiğit & Rosa Francaviglia, 2023. "Application of Machine Learning Algorithms for Digital Mapping of Soil Salinity Levels and Assessing Their Spatial Transferability in Arid Regions," Land, MDPI, vol. 12(9), pages 1-22, August.

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