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

Orawan Kumdee, Md. Samim Hossain Molla, Kulwadee Kanavittaya, Jutamas Romkaew, Ed Sarobol and Sutkhet Nakasathien ()
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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

Agriculture, 2023, vol. 13, issue 9, 1-30

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.

Keywords: maize; water deficit; proline; total soluble sugar; absolute growth rate; ggbiplot (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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