Diagnosis of the nutritional status of ‘Paluma’ guava trees using leaf and flower analysis

The present study aimed to compare the use of leaf and flower analysis and to verify the most appropriate organ for the diagnosis of the nutritional status of guava trees. The evaluation was carried out using the CND (Compositional Nutrient Diagnosis) methodology, using yield and nutritional contents of the leaf and flower of ‘Paluma’ guava trees in 48 plots of an irrigated orchard. The contents of flower and leaf nutrients were submitted to variance analysis, by the Tukey test at 5%, and the nutrient sufficiency ranges in organs were calculated, as well as the correlations between multi-nutrient variables and yield. Significant differences between contents of nutrients in flower and leaf, as well as greater variability in the nutritional contents in leaf, were observed. The sufficiency ranges of flower proved to be shorter compared to leaf. The number of correlations between nutrients and yield was higher in the flower. The greater sensitivity of the leaf analysis in expressing interactions between nutrients and yield indicates that this organ can also be used for the nutritional diagnosis of guava trees.

Index terms
Psidium guajava; nutritional status assessment; tissue analysis; CND

Authorship

Cibelle Tamiris de Oliveira

Master in Soil Sciences, PhD student, Graduate Program in Soil Sciences, Federal University of Paraná (UFPR), Curitiba-PR, Brazil. Capes fellow. Email: cibelleolv@gmail.com Universidade Federal do ParanáBrasilCuritiba, PR, Brasil Master in Soil Sciences, PhD student, Graduate Program in Soil Sciences, Federal University of Paraná (UFPR), Curitiba-PR, Brazil. Capes fellow. Email: cibelleolv@gmail.com

http://orcid.org/0000-0002-2957-0969

Danilo Eduardo Rozane

Associate Professor, “Júlio de Mesquita Filho” State University of São Paulo, Registro-SP, Brazil. CNPq fellow. Email: danilo.rozane@unesp.br Universidade Estadual Paulista Júlio Mesquita Filho - Câmpus de RegistroBrasilRegistro, SP, Brasil Associate Professor, “Júlio de Mesquita Filho” State University of São Paulo, Registro-SP, Brazil. CNPq fellow. Email: danilo.rozane@unesp.br

http://orcid.org/0000-0003-0518-3689

Daniel Angelucci de Amorim

Researcher, Agricultural Research Company of Minas Gerais (EPAMIG), Uberaba-MG, Brazil. FAPEMIG fellow. email: daniel@epamig.br Agricultural Research Company of Minas Gerais (EPAMIG)BrasilUberaba, MG, Brasil Researcher, Agricultural Research Company of Minas Gerais (EPAMIG), Uberaba-MG, Brazil. FAPEMIG fellow. email: daniel@epamig.br

http://orcid.org/0000-0003-4921-5080

Henrique Antunes de Souza

Researcher, Brazilian Agricultural Research Corporation (Embrapa Meio-Norte), Teresina-PI, Brazil. CNPq fellow. Email: henrique.souza@embrapa.br Brazilian Agricultural Research Corporation (Embrapa Meio-Norte)BrasilTeresina, PI, Brasil Researcher, Brazilian Agricultural Research Corporation (Embrapa Meio-Norte), Teresina-PI, Brazil. CNPq fellow. Email: henrique.souza@embrapa.br

http://orcid.org/0000-0002-2209-4285

Beatrice Santana Fernandes

Agronomist, Master student, Federal University of Santa Maria (UFSM), Santa Maria-RS, Brazil. Email: bia.santana996@gmail.com Federal University of Santa MariaBrasilSanta Maria, RS, Brasil Agronomist, Master student, Federal University of Santa Maria (UFSM), Santa Maria-RS, Brazil. Email: bia.santana996@gmail.com

http://orcid.org/0000-0002-3784-8860

William Natale

Visiting Professor, Federal University of Ceará (UFC), Fortaleza-CE, Brazil. CNPq fellow, Email: natale@ufc.br Federal University of CearáBrasilFortaleza, CE, Brasil Visiting Professor, Federal University of Ceará (UFC), Fortaleza-CE, Brazil. CNPq fellow, Email: natale@ufc.br

http://orcid.org/0000-0001-9572-4463

SCIMAGO INSTITUTIONS RANKINGS

Figures | Tables | Formulas

Figures (1)
Tables (3)
Formulas (5)

Thumbnail

Figure 1
Box plots of multi-nutrient variables: potassium - K, nitrogen - N, sulfur - S and boron - B, considered the most important by the model, in that order.

Thumbnail

Table 1
Chemical soil properties at the 0.0 - 0.40 m depth layer, in the fertilized row and between rows, before the installation of the experiment.

Thumbnail

Table 2
Sufficiency ranges, average contents and coefficients of variation (CV) of N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn nutrients in 'Paluma' guava flowers and leaves.

Thumbnail

Table 3
Pearson's correlation matrix between multi-nutrient variables and yield (Y) in the total leaf (n = 48) and flower (n = 44) population of 'Paluma' guava trees.

(1)

(2)

(3)

(4)

(5)

Figure 1 Box plots of multi-nutrient variables: potassium - K, nitrogen - N, sulfur - S and boron - B, considered the most important by the model, in that order.

Table 1 Chemical soil properties at the 0.0 - 0.40 m depth layer, in the fertilized row and between rows, before the installation of the experiment.

	pH (CaCl₂)	M.O	P (resin)	K	Ca	Mg	H+Al	SB
		g dm^-3	mg dm^-3	------------------ mmol_c dm^-3 ------------------
Row	5.6	10	13	2.1	25	11	14	39.1
Between rows	5.8	10	10	2.8	26	12	12	41.3
	T	V	B	Cu	Fe	Mn	Zn	S-SO₄^-2
	mmol_c dm^-3	%	-------------------------- mg dm^-3 --------------------------
Row	53.1	73	0.16	8.1	12	11.5	0.3	2
Between rows	53.3	77	0.25	9.3	11	11.6	0.3	3

Table 2 Sufficiency ranges, average contents and coefficients of variation (CV) of N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn nutrients in 'Paluma' guava flowers and leaves.

Nutrient	Sufficiency ranges		Average contents		CV
Nutrient	Flower	Leaf	Flower	Leaf	Flower	Leaf
	-------------------------- g kg^-1 --------------------------				------------ % ------------
N	14.3 - 15.7	17.9 - 21.2	14.9b	19.61a	6.9	12.8
P	1.6 - 1.8	1.0 - 1.3	1.72a	1.27b	9.3	18.5
K	18.2 - 19.4	13.3 - 15.0	18.46a	14.21b	4.9	8.8
Ca	6.4 - 7.5	6.1 - 7.6	7.01a	6.4b	11.4	16.6
Mg	1.8 - 2.2	1.9 - 2.1	2.12a	1.98b	13.4	9.3
S	1.8 - 2.0	1.9 - 2.4	1.86b	2.17a	8.8	17.1
	------------------------- mg kg^-1 -------------------------				------------ % ------------
B	17.3 - 20.8	13.1 - 19.0	20.87a	17.04b	12.8	25.8
Cu	26.6 - 32.4	43.9 - 55.8	27.6b	48.62a	15.4	18.4
Fe	19.7 - 49.3	76.2 - 105	44.92b	84.06a	34.7	25.8
Mn	41.5 - 72.9	63.7 - 113.7	53.81b	88.25a	43.0	42.5
Zn	19.6 - 23.2	15.3 - 20.4	22.2a	17.1b	12.6	22.4

^*
Average contents followed by the same letter in the row do not differ by the Tukey's test at p <0.05.

Table 3 Pearson's correlation matrix between multi-nutrient variables and yield (Y) in the total leaf (n = 48) and flower (n = 44) population of 'Paluma' guava trees.

	N	P	K	Ca	Mg	S	B	Cu	Fe	Mn	Zn	R
Leaf
Y	0.40*	-0.66*	-0.17	0.55*	0.01	-0.28	-0.36*	-0.05	0.04	0.49*	0.08	-0.58*
N		-0.59*	-0.06	0.20	0.12	-0.21	-0.71*	0.06	-0.16	0.58*	-0.31*	0.04
P			0.24	-0.40*	0.12	0.34*	0.64*	-0.11	-0.21	-0.70*	0.06	0.39*
K				-0.13	-0.21	0.26	0.19	-0.13	-0.29*	-0.20	-0.09	0.33*
Ca					0.25	-0.02	-0.02	-0.33*	-0.15	0.17	0.10	-0.53*
Mg						-0.25	-0.03	-0.01	-0.08	-0.21	-0.15	0.31*
S							0.32*	-0.11	-0.30*	-0.38*	-0.13	0.03
B								-0.22	-0.13	-0.70*	0.21	-0.04
Cu									-0.16	-0.11	-0.18	0.31*
Fe										-0.02	-0.02	-0.06
Mn											-0.21	-0.41*
Zn												-0.31
Flower
Y	0.37*	-0.40*	0.32*	-0.33*	-0.54*	-0.09	-0.43*	0.06	0.12	0.36*	-0.06	-0.02
N		-0.15	0.44*	-0.20	-0.22	0.02	-0.08	-0.19	-0.23	0.10	0.00	0.48*
P			0.25	0.23	0.53*	0.29	0.68*	-0.22	-0.36*	-0.69*	0.52*	0.33*
K				0.10	0.13	0.38*	0.25	-0.29	-0.36*	-0.33*	0.27	0.49*
Ca					0.66*	0.40*	0.33*	-0.27	-0.45*	-0.34*	-0.04	0.06
Mg						0.21	0.47*	-0.37*	-0.41*	-0.51*	0.05	0.33*
S							0.33*	-0.13	-0.47*	-0.34*	0.08	0.17
B								-0.13	-0.34	-0.78*	0.47*	0.32*
Cu									0.20	-0.02	-0.24	-0.11
Fe										0.03	-0.14	-0.46*
Mn											-0.46*	-0.32*
Zn												-0.03

^*
significant at p <0.05 by the significance test. The other correlations were not significant.

(1)

R = 1000000 - \sum_{i = 1}^{n} {N t}_{i}

(2)

G = {[(\prod_{i = 1}^{n} {N t}_{i}) ∙ R]}^{\frac{1}{(n + 1)}}

(3)

V_{i} = \ln (\frac{{N t}_{i}}{G})

(4)

D^{2} = {({c l r}_{i} - \bar{{c l r}_{i}})}^{T} {C O V}^{- 1} ({c l r}_{i} - \bar{{c l r}_{i}})

(5)

I_{i} = \frac{(V_{I} - \bar{V_{i}})}{σ_{i}}

How to cite

copy

Sociedade Brasileira de Fruticultura Via de acesso Prof. Paulo Donato Castellane, s/n , 14884-900 Jaboticabal SP Brazil, Tel.: +55 16 3209-7188/3209-7609 - Jaboticabal - SP - Brazil
E-mail: rbf@fcav.unesp.br

Acompanhe os números deste periódico no seu leitor de RSS

Versão para download de PDF

PDF

Inglês

Versões e tradução automática

Versão original do texto

English

Tradução automática

Google Translator
Microsoft Translator

Como citar

RIS

BIBTEX

Outros formatos de citação e exportação:

SciELO - Scientific Electronic Library Online
Rua Dr. Diogo de Faria, 1087 – 9º andar – Vila Clementino 04037-003 São Paulo/SP - Brasil
E-mail: scielo@scielo.org

Leia a Declaração de Acesso Aberto

Métricas

Diagnosis of the nutritional status of ‘Paluma’ guava trees using leaf and flower analysis

PlumX

Mensagem

[TFN0201] ^*
Average contents followed by the same letter in the row do not differ by the Tukey's test at p <0.05.