PERÓXIDO DE HIDROGÊNIO COMO ATENUANTE DO ESTRESSE SALINO EM MARACUJAZEIRO-AZEDO

RAMOS, JAILTON GARCIA; LIMA, VERA LÚCIA ANTUNES DE; LIMA, GEOVANI SOARES DE; PAIVA, FRANCISCO JEAN DA SILVA; PEREIRA, MARIANA DE OLIVEIRA; NUNES, KHEILA GOMES

Acessibilidade / Reportar erro

Brasil

Español English

sumário « anterior atual seguinte »

Sumário

Research Paper • Rev. Caatinga 35 (02) • Apr-Jun 2022 • https://doi.org/10.1590/1983-21252022v35n217rc copiar

PERÓXIDO DE HIDROGÊNIO COMO ATENUANTE DO ESTRESSE SALINO EM MARACUJAZEIRO-AZEDO

Autoria SCIMAGO INSTITUTIONS RANKINGS

RESUMO

O maracujazeiro-azedo é uma fruteira amplamente cultivada em todo Brasil, devido sua adaptação ao clima tropical. No entanto, em regiões semiáridas seu desenvolvimento é limitado devido água alta concentração de sais solúveis nas águas comumente utilizadas na irrigação. Neste contexto, a aplicação de baixas concentrações de peróxido de hidrogênio de forma exógena pode atenuar os danos provocados pelo estresse salino. Objetivou-se com esta pesquisa avaliar o extravasamento de eletrólitos, os pigmentos fotossintéticos e a eficiência fotoquímica em maracujazeiro-azedo cv. BRS Rubi do Cerrado sob irrigação com águas salinas e aplicação foliar de peróxido de hidrogênio. Foi utilizado o delineamento inteiramente casualizados, com os tratamentos dispostos em parcelas subdivididas, sendo cinco níveis de salinidade da água de irrigação - CEa (0,6; 1,2; 1,8; 2,4 e 3,0 dS m⁻¹) e quatro concentrações de peróxido de hidrogênio - H₂O₂ (0; 15; 30 e 45 µM de H₂O₂) nas parcelas e subparcelas, respectivamente. A irrigação com água salina reduziu os teores de clorofila a e total das plantas de maracujazeiro-azedo cv. BRS Rubi do Cerrado, aos 240 dias após o transplantio. O peróxido de hidrogênio na concentração de 15 µM estimulou a biossíntese de clorofila a e total e de 45 µM aliviou o efeito da salinidade da água de 3,0 dS m⁻¹ sobre o extravasamento de eletrólitos no limbo foliar do maracujazeiro-azedo. O estresse salino não afetou a fluorescência inicial, máxima, variável e eficiência quântica do fotossistema II do maracujazeiro-azedo cv. BRS Rubi do Cerrado.

Palavras-chave
Passiflora edulis Sims; Espécie reativa de oxigênio; Eficiência fotoquímica; Estresse oxidativo

Chemical characteristics
pH (H₂O) (1:2.5)	OM dag kg⁻¹	P (mg kg⁻¹)	K⁺	Na⁺	Ca²⁺	Mg²⁺	Al³⁺ + H⁺	ESP (%)	ECse (dS m⁻¹)
pH (H₂O) (1:2.5)	OM dag kg⁻¹	P (mg kg⁻¹)	cmol_c kg⁻¹)					ESP (%)	ECse (dS m⁻¹)
5.90	1.36	6.80	0.22	0.16	2.60	3.66	1.93	1.87	1.0
Physical-hydraulic characteristics
PSF (dag kg⁻¹)			Textural class	Moisture (kPa)		AW	Total porosity %	BD	PD
Sand	Silt	Clay	Textural class	33.42 1519.5 dag kg⁻¹		-	Total porosity %	(kg dm⁻³)
73.29	14.21	12.50	SL	11.98	4.32	7.66	47.74	1.39	2.66

Source of variation	DF	Mean squares
Source of variation	DF	Chl a	Chl b	Chl total	Car
Salinity levels (SL)	4	27.7^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.3^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	34.6^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	71918.1^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.
Linear regression	1	58.6^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.9^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	74.1^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	40785.5^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.
Quadratic regression	1	5.1^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.1^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	6.8^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	16467.6^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.
Residual 1	8	0.5	0.01	0.6	374.9
Hydrogen peroxide (H₂O₂)	3	4.2^* * respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.1^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	5.9^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	17583.4^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.
Linear regression	1	0.1^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.05^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.2^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	113.4^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.
Quadratic regression	1	7.0^* * respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.2^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	10.0^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	35133.5^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.
Interaction (SL × H₂O₂)	12	2.2^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	0.06^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	2.7^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.	19818.5^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.1 Data transformed to √x.
Residual 2	30	1.2	0.01	1.4	422.8
CV 1 (%)	-	10.6	6.4	8.7	3.9
CV 2 (%)	-	15.6	7.6	13.5	4.2

Source of variation	DF	Mean squares
Source of variation	DF	Fo	Fm	Fv	Fv/Fm	EL
Salinity levels (SL)	4	10865.5^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	87047.3^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	66784.6^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	0.0007^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	305.5^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.
Linear regression	1	22715.0^* * respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	270750.0^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	146091.4^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	1×10^-5ns	1023.8^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.
Quadratic regression	1	1423.3^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	28029.3^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	24650.1^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	1×10^-3ns	86.4^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.
Residual 1	8	4699.9	61737.2	52213.9	0.001	0.3
Hydrogen peroxide (H₂O₂)	3	3517.1^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	56004.1^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	74221.9^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	0.002^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	210.2^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.
Linear regression	1	6093.0^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	134916.8^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	183224.6^* * respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	0.004^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	0.05^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.
Quadratic regression	1	19.3^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	564.3^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	41.6^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	0.0003^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	434.7^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.
Interaction (SL × H₂O₂)	12	1788.9^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	36915.9^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	27482.4^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	0.0003^ns ns respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.	76.1^ respectively not significant, significant at probability levels of p ≤ 0.01 and p ≤ 0.05.
Residual 2	30	2197.5	40455.6	34582.4	0.0005	0.7
CV 1 (%)	-	9.12	9.19	11.64	4.54	0.95
CV 2 (%)	-	6.24	7.44	9.47	2.98	1.35

Universidade Federal Rural do Semi-Árido Avenida Francisco Mota, número 572, Bairro Presidente Costa e Silva, Cep: 5962-5900, Telefone: 55 (84) 3317-8297 - Mossoró - RN - Brazil
E-mail: caatinga@ufersa.edu.br

Acompanhe os números deste periódico no seu leitor de RSS

[1] *Corresponding author