Boosting Photosynthesis and Antioxidative Enzyme Activity in Wheat-Cotton Cultivation with Drip Irrigation

IF 1.5 Q3 AGRONOMY
Preksha, A. S. Brar, Harjeet Kaur, Priyanka Sahoo , Sukhpreet Singh, Norah Johal, Shashi Pathania
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引用次数: 0

Abstract

A two-year study (2020–2022) in Punjab, India, examined subsurface drip irrigation (SDI) configurations: lateral depths (20, 25 and 30 cm) and emitter spacing (20, 30 and 40 cm) under deficit irrigation [100%, 80% and 60% crop evapotranspiration (ETc)] in a cotton (Gossypium hirsutum L.; Malvaceae)-wheat (Triticum aestivum L.; Poaceae) system, compared to flood and surface drip controls. Using a split-plot design with three replications, the study assessed yield, irrigation water productivity (WPI), and physiological responses amid water scarcity. Deficit irrigation at 60% ETc reduced seed cotton yield by 16% (2825 –2367 kg ha− 1) and wheat grain yield by 11–13% (50.4–51.9 to 44.7–45.0 q ha− 1), with cotton more sensitive to water levels and wheat to drip configurations. Both crops showed stress during reproductive stages, with lower stomatal conductance; cotton maintained stable quantum yield (ФPSII) early in boll development, while wheat down-regulated ФPSII throughout reproductive phases. SDI mitigated moisture stress, enhancing chlorophyll content and stomatal conductance during critical growth stages compared to flood irrigation. Antioxidant enzyme activities increased significantly under water deficit, with cotton showing 24% higher ascorbate peroxidase activity and wheat exhibiting 21.6% and 24.8% increases in superoxide dismutase and catalase respectively. Malondialdehyde content increased by 24.9% in cotton and 13.3% in wheat under 60% ETc, while proline accumulation was more pronounced in cotton (22.9%) than in wheat (10.9%). Drip fertigation increased seed cotton yield by 10.5% (2258–2320 to 2685 –2373 kg ha− 1) and wheat by 8.9% (45.0-49.5 to 48.8–54.1 q ha− 1), with WPI improvements of 85–134% in cotton and 84 − 66% in wheat over flood irrigation. The optimal SDI configuration: 20 cm lateral depth, 20 cm emitter spacing, and 80% ETc: maximized WPI (cotton: 1.19–2.43 kg m− 3; wheat: 2.83–3.43 kg m− 3), outperforming surface drip and flood irrigation. Correlation analysis revealed significant relationships between physiological parameters and economic yield, with protein content positively correlating with antioxidant activities. These findings support SDI at 80% ETc with shallow laterals and close emitter spacing as a sustainable approach to enhance crop productivity and water efficiency in water-scarce cotton-wheat systems.

滴灌提高小麦-棉花光合作用和抗氧化酶活性的研究
在印度旁遮普省进行的一项为期两年的研究(2020-2022)研究了地下滴灌(SDI)的配置:在亏水灌溉[作物蒸散量100%、80%和60%]条件下,棉花(棉花科)-小麦(小麦科)系统的横向深度(20、25和30厘米)和灌水器间距(20、30和40厘米),并与洪水和地面滴灌控制进行了比较。本研究采用3个重复的分块设计,评估了缺水条件下的产量、灌溉水生产力(WPI)和生理反应。ETc值为60%的亏缺灌溉使籽棉产量降低16% (2825 ~ 2367 kg ha - 1),小麦产量降低11% ~ 13% (50.4 ~ 51.9 ~ 44.7 ~ 45.0 q ha - 1),其中棉花对水位更敏感,小麦对滴灌更敏感。两种作物在繁殖阶段均表现出胁迫,气孔导度较低;棉花在棉铃发育早期保持稳定的量子产(ФPSII),而小麦在整个繁殖阶段均下调量子产(ФPSII)。与漫灌相比,SDI减轻了水分胁迫,提高了关键生育期叶绿素含量和气孔导度。水分亏缺条件下抗氧化酶活性显著升高,棉花抗坏血酸过氧化物酶活性升高24%,小麦超氧化物歧化酶和过氧化氢酶活性分别升高21.6%和24.8%。在60% ETc条件下,棉花和小麦丙二醛含量分别增加了24.9%和13.3%,而脯氨酸积累在棉花(22.9%)中比在小麦(10.9%)中更为显著。滴灌使棉籽产量提高10.5% (2288 ~ 2320 ~ 2685 ~ 2373 kg ha - 1),小麦产量提高8.9% (45.0 ~ 49.5 ~ 48.8 ~ 54.1 q ha - 1),与洪水灌溉相比,棉花的WPI提高了85 ~ 134%,小麦的WPI提高了84 ~ 66%。最佳SDI配置:20 cm横向深度,20 cm灌水器间距,80% ETc:最大WPI(棉花:1.19-2.43 kg m - 3;小麦:2.83-3.43 kg m - 3),优于地表滴灌和漫灌。相关分析表明,各生理参数与经济产量呈极显著相关,蛋白质含量与抗氧化活性呈正相关。这些研究结果表明,在缺水的棉麦系统中,80% ETc的SDI、浅横向和小灌水器间距是提高作物生产力和用水效率的可持续方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
0.00%
发文量
24
期刊介绍: The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.
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