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Morpho-Physiological and Biochemical Responses of Maize Hybrids under Recurrent Water Stress at Early Vegetative Stage

Author

Listed:
  • Orawan Kumdee

    (Department of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand)

  • Md. Samim Hossain Molla

    (On-Farm Research Division, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh)

  • Kulwadee Kanavittaya

    (Department of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand)

  • Jutamas Romkaew

    (Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand)

  • Ed Sarobol

    (Department of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand)

  • Sutkhet Nakasathien

    (Department of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand)

Abstract

Rapid climate change may put future food security under threat, which emphasizes the significance of assessing the morpho-physiological and biochemical traits associated with maize tolerance against recurrent water stress at the early vegetative stage. Three maize varieties (V1, SUWAN2301; V2, SUWAN4452; and V3, S7328) and three water levels (I 1 , daily watering as the control; I 2 , watering every two days as the short stress; and I 3 , watering every four days as the prolonged stress) were employed in a factorial design pot experiment. During the experiment, I 1 ’s soil moisture content (SMC) was maintained at almost 100% of its field capacity (FC), whereas I 2 and I 3 ’s volumetric SMC dropped to an average of 22.10% and 11.57%, respectively, following a stress phase. Fourteen distinct characteristics of maize were investigated at 5, 9, and 13 days after watering treatment initiation (DAWTI). The findings revealed that water levels significantly influenced all the tested traits ( p < 0.05), except for a few traits at 5 or 9 DAWTI only, whereas the maize variety significantly influenced most of the studied attributes ( p < 0.05). Except for proline content in leaf (PrL) and root (PrR); total soluble sugar in leaf (TSSL) and root (TSSR); and root length to shoot length ratio (RL:SL), the value of all analyzed characters was higher under I 1 compared to I 2 and I 3 . However, during the first recovery period (RP), the recovery rate (RR) of stem perimeter (SP), root length (RL), root dry weight (RDW), leaf water potential (LWP), leaf greenness (LG), and TSSL were higher in I 2 , whereas leaf area (LA) and RL:SL was higher in I 3 . However, in the second RP, the RR of plant height (PH), SP, RL, LWP, LG, and TSSL were higher in I 3 , whereas LA, RDW, RL:SL, PrL, PrR, and TSSR were higher in I 2 compared to each other. Under I 3 , the RR of biochemical traits, i.e., PrL (29.45%) and TSSR (20.23%), were higher in the first RP, and PrR (20.74%) and TSSL (15.22%) were higher in the second RP. However, the variety V1 could recover more after a re-watering, and, in the second RP, it performed better in the case of LA (120.14%), PH (18.41%), SP (19.94%), RL (17.74%), Shoot dry weight (SDW) (56.82%), RDW (11.97%), LG (0.05%), PrR (42.55%), TSSL (18.54%), and TSSR (22.87%) than other varieties. The maize varieties performed differently under I 1 and I 3 according to the principal component analysis and stress tolerance index. The variety V1 exhibited superior performance under both water levels. The biplot analysis highlighted the importance of traits, such as PrL, RL, TSSL, TSSR, PrR, and RL:SL, in water-stressed conditions. However, re-watering following a water stress period triggered the recovery rates in most traits, particularly after the second four-day stress period, and variety V1 performed better as well. Nonetheless, more research on a genomic and molecular level is required to gain a deeper understanding of the precise processes of drought tolerance in maize, particularly under recurring water stress circumstances.

Suggested Citation

  • Orawan Kumdee & Md. Samim Hossain Molla & Kulwadee Kanavittaya & Jutamas Romkaew & Ed Sarobol & Sutkhet Nakasathien, 2023. "Morpho-Physiological and Biochemical Responses of Maize Hybrids under Recurrent Water Stress at Early Vegetative Stage," Agriculture, MDPI, vol. 13(9), pages 1-30, September.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1795-:d:1237196
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    1. A. Park Williams & Craig D. Allen & Alison K. Macalady & Daniel Griffin & Connie A. Woodhouse & David M. Meko & Thomas W. Swetnam & Sara A. Rauscher & Richard Seager & Henri D. Grissino-Mayer & Jeffre, 2013. "Temperature as a potent driver of regional forest drought stress and tree mortality," Nature Climate Change, Nature, vol. 3(3), pages 292-297, March.
    2. Xingyang Song & Guangsheng Zhou & Qijin He, 2021. "Critical Leaf Water Content for Maize Photosynthesis under Drought Stress and Its Response to Rewatering," Sustainability, MDPI, vol. 13(13), pages 1-14, June.
    3. Shiyu Zuo & Jing Li & Wanrong Gu & Shi Wei, 2022. "Exogenous Proline Alleviated Low Temperature Stress in Maize Embryos by Optimizing Seed Germination, Inner Proline Metabolism, Respiratory Metabolism and a Hormone Regulation Mechanism," Agriculture, MDPI, vol. 12(4), pages 1-32, April.
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