Hydrogen peroxide as a saline stress attenuator in okra (<i>Abelmoschus esculentus</i> L.)

Lopes, Iracy Amélia Pereira; Soares, Lauriane Almeida dos Anjos; Lima, Geovani Soares de; Roque, Iara Almeida; Silva, Luderlândio de Andrade; Silva, André Alisson Rodrigues da; Silva, Saulo Soares da; Fernandes, Pedro Dantas

doi:10.1590/0103-8478cr20220252

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CROP PRODUCTION • Cienc. Rural 54 (5) • May 2024 • https://doi.org/10.1590/0103-8478cr20220252 copy

Hydrogen peroxide as a saline stress attenuator in okra (Abelmoschus esculentus L.)

Peróxido de hidrogênio como atenuante do estresse salino em quiabeiro (Abelmoschus esculentus L.)

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT:

Okra is a vegetable that stands out for its low production cost, high yield, high nutritional and value and socioeconomic importance in income generation, especially in family farming. In this context, the present study evaluated the physiology, production and water use efficiency of okra under irrigation with saline water and exogenous application of hydrogen peroxide. The treatments were distributed in a randomized block design, in a 5 × 3 factorial arrangement, with five levels of electrical conductivity of irrigation water - ECw (0.3; 1.3; 2.3; 3.3 and 4.3 dS m^-1) and three concentrations of hydrogen peroxide - H₂O₂ (0, 25 and 50 μM), with five replicates, totaling 75 plants. Irrigation with ECw above 0.3 dS m^-1 negatively affected stomatal conductance, transpiration, number of fruits, total production and water use efficiency of okra cv. Clemson Americano 80. Hydrogen peroxide at concentration of 22 μM mitigated the effects of salt stress on CO₂ assimilation rate, number of fruits, average fruit weight and total production of okra cv. Clemson Americano 80. Water use efficiency is favored by H₂O₂ application at concentration of 12 μM, especially in plants irrigated with ECw of 0.3 dS m^-1.

Key words:
Salinity; H₂O₂; acclimatization.

Sources of variation	------DF------	-----------------------------------------------Mean squares------------------------------------------
		gs ¹	E	Ci	A ¹	WUEi	CEi ¹
Salinity levels (SL)	4	0.003^*	0.28^*	160.61^ns	16.23^*	0.76^ns	0.001^ns
Linear Regression	1	0.01^**	0.66^**	77.76^ns	33.15^*	0.008^ns	0.01^**
Quadratic Regression	1	0.001^ns	0.40^*	17.14^ns	14.36^ns	2.59^*	0.0006^ns
Hydrogen peroxide (H₂O₂)	2	0.01^**	1.53^**	1070.56^*	74.87^**	2.27^*	0.008^**
Interaction (SL × H₂O₂)	8	0.002^*	0.35^**	1172.79^**	19.59^**	0.62^ns	0.003^**
Blocks	4	0.001^ns	0.42	520.74^ns	4.11^ns	0.51^ns	0.001^ns
CV (%)		10.35	6.92	11.16	7.83	9.48	13.88
Mean		0.34	4.33	154.08	30.76	7.13	0.20

Sources of variation	----DF----	--------------------------------------------Mean squares---------------------------------------------
		NFP	TPP	AFW	AFL	WUE
Salinity levels (SL)	4	87.053^**	42299.604^**	28.945^*	0.789^ns	31.927^**
Linear Regression	1	340.506^**	165810.934^**	17.967^ns	1.626^ns	124.619^**
Quadratic Regression	1	0.076^ns	549.238^ns	8.178^ns	0.016^ns	1.675^ns
Hydrogen peroxide (H₂O₂)	2	0.280^ns	3669.260^**	62.634^**	1.428^ns	4.231^**
Interaction (SL × H₂O₂)	8	1.113^**	3300.000^**	32.922^**	1.024^ns	4.011^**
Blocks	4	0.886^ns	842.520^*	7.422^ns	1.387^ns	1.149^ns
CV (%)		9.69	10.51	14.56	9.41	12.64
Mean		6.24	140.92	22.84	12.34	5.45

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[1] E-mail: laurispo.agronomia@gmail.com. ^*Corresponding author