Chemical analyses of flowers and leaves for nutritional diagnoses of coffee trees

Zabini, André Vinicius; Martinez, Herminia Emilia Prieto; Neves, Júlio César Lima; Cruz, Cosme Damião; Valadares, Samuel Vasconcelos

doi:10.1590/0103-8478cr20190796

Acessibilidade / Reportar erro

Brasil
SciELO.org - Rede SciELO
Blog SciELO em Perspectiva

Abrir menu

Brasil

Español English

Ciência Rural

Submissão de manuscritos
Sobre o periódico
Corpo Editorial
Instruções aos autores
Contato

sumário « anterior atual seguinte »

Resumo (Inglês)
Resumo (Português)

Texto (Inglês)

Download PDF (Inglês)

Compartilhe

Compartilhe
E-mail
Facebook
Twitter
Google+
LinkedIn
Reddit
StambleUpon
CiteULike
Mendeley

Sumário

Compartilhe
E-mail
Facebook
Twitter
Google+
LinkedIn
Reddit
StambleUpon
CiteULike
Mendeley

Resumo (Inglês)
Resumo (Português)

Texto (Inglês)

Download PDF (Inglês)

SOIL SCIENCE • Cienc. Rural 51 (7) • 2021 • https://doi.org/10.1590/0103-8478cr20190796 copy

Chemical analyses of flowers and leaves for nutritional diagnoses of coffee trees

Diagnóstico nutricional do cafeeiro por meio de análise floral e foliar

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT:

The chemical analysis of flowers has been studied for some crops. In coffee trees, the flower tissue analysis could anticipate the nutritional diagnosis. This study aimed to: (i) compare the mineral composition of coffee flowers and leaves; and to (ii) generate reference values for nutritional diagnosis of coffee trees, based on flower and leaf analysis. Nutrient content of flowers and leaves and coffee productivity were evaluated in 26 commercial farms located in Manhuaçu, MG, Brazil throughout three years. The critical nutrient content range in flowers are respectively: 2.78 - 3.17, 0.23 - 0.28, 2.80 - 3.12, 0.30 - 0.37, 0.24 - 0.30, 0.15 - 0.18 dag kg^-1 of N, P, K, Ca, Mg, and S; and 17 - 21, 12 - 18, 52 - 80, 26 - 43, and 28 - 48 mg kg^-1 of Zn, Cu, Mn, Fe, and B. For leaves, the critical nutrient ranges are respectively: 2.63 - 2.86, 0.13 - 0.14, 2.13 - 2.33, 1.04 - 1.22, 0.27 - 0.33, 0.15 - 0.18 dag kg^-1 of N, P, K, Ca, Mg, and S; and 9 - 14, 15 - 23, 80 - 115, 99 - 148, and 31 - 37 mg kg^-1 of Zn, Cu, Mn, Fe, and B. The nutritional diagnosis of coffee trees for N, P, Ca, Fe, Cu, and Mn can be anticipated using flower analysis.

Key words:
Coffea arabica L.; leaf analysis; flower analysis; coffee tree nutrition.

Authorship

André Vinicius Zabini

Departamento de Agronomia, Universidade Federal de Viçosa (UFV), Viçosa, MG, Brasil.Universidade Federal de Viçosa (UFV)BrazilViçosa, MG, BrazilDepartamento de Agronomia, Universidade Federal de Viçosa (UFV), Viçosa, MG, Brasil.

https://orcid.org/0000-0002-7600-357X

Herminia Emilia Prieto Martinez

https://orcid.org/0000-0002-2184-374X

Júlio César Lima Neves

Departamento de Solos, Universidade Federal de Viçosa (UFV), 36570-900, Viçosa, MG, Brasil..Universidade Federal de Viçosa (UFV)BrazilViçosa, MG, BrazilDepartamento de Solos, Universidade Federal de Viçosa (UFV), 36570-900, Viçosa, MG, Brasil..

https://orcid.org/0000-0001-8356-5100

Cosme Damião Cruz

https://orcid.org/0000-0003-3513-3391

Samuel Vasconcelos Valadares ^*E-mail: samuel.valadares@ufv.br. *Corresponding author

https://orcid.org/0000-0003-4583-5864

E-mail: samuel.valadares@ufv.br. ^*Corresponding author

DECLARATION OF CONFLICT OF INTEREST

The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

AUTHORS’ CONTRIBUTIONS

AVZ planned the research, collected data, performed statistical analyses and prepared the draft of the manuscript. HEPM supervised and coordinated the research, evaluated and discussed the results and revised the manuscript. JCLN cooriented the research and provided guidance for plant chemical analysis and statistical analysis. CDC cooriented the research and provided guidance for statistical analysis. SVV discussed results and revised the manuscript. All authors approved of the final version of the manuscript.

SCIMAGO INSTITUTIONS RANKINGS

Tables | Formulas

Tables (4)
Formulas (7)

Thumbnail

Table 1
Analysis of variance for macro and micronutrient contents in flowers collected from different positions of the coffee branches. Manhuaçu-MG, 2008.

Thumbnail

Table 2
Average productivity of processed coffee (60 kg bags/ha) in samples from high and low productive coffee tree stands over three years.Manhuaçu-MG, 2008.

Thumbnail

Table 3
Pearson's correlation coefficient, regression equations, and coefficients of determination expressing the relationship between coffee flowers (x) and leaves (y) nutrient contents in high and low productive stands. Manhuaçu-MG, 2008.

Thumbnail

Table 4
Means, critical ranges (CR), coefficients of variation (CV, %), and confidence interval (CI) for macro and micronutrient concentrations (mg kg^-1) in coffee flowers and leaves in Manhuaçu, MG, Brazil, 2008.

Thumbnail

Table 1 Analysis of variance for macro and micronutrient contents in flowers collected from different positions of the coffee branches. Manhuaçu-MG, 2008.

Variation source	FD	----------------------------------------------------------Mean squares---------------------------------------------------------
		N	P	K	Ca	Mg	S
		---------------------------------------------------------- dag/kg ----------------------------------------------------------------
Rosette Positon	5	0.0015^ns	0.0001^ns	0.0156^ns	0.0016^ns	0.0003^ns	4.4x10^-5ns
Residual	18	0.0657	0.0007	0.1621	0.0037	0.0009	0.0002
Mean		2.39	0.28	2.92	0.29	0.23	0.18
CV (%)		10.74	9.23	13.79	20.86	12.77	7.73
Variation source	GL	----------------------------------------------------------Mean Squares--------------------------------------------------------
		Zn	Cu	Fe		Mn	B
		-------------------------------------------------------------mg/kg---------------------------------------------------------------
Rosette Positon	5	1.7033^ns	0.8441^ns	327.4204^ns		10.0174^ns	28.9963^ns
Residual	18	0.7834	2.2774	1398.8874		4.8638	10.8937
Mean		11.57	14.74	111.94		26.85	31.26
CV (%)		7.65	10.24	33.40		8.22	10.56

ns = not significant. CV = coefficient of variation.

Table 2 Average productivity of processed coffee (60 kg bags/ha) in samples from high and low productive coffee tree stands over three years.Manhuaçu-MG, 2008.

Farm identification	------High productive stands-----			Mean	CV (%)	-------Low productive stands------			Mean	CV (%)
	Year 1	Year 2	Year 3			Year 1	Year 2	Year 3
1	86.81	52.08	57.87	65.6	28.4	5.21	25.32	31.25	20.6	66.3
2	104.17	61.55	81.02	82.2	25.9	3.47	23.15	28.41	18.3	71.7
3	108.33	49.31	58.33	72.0	44.2	4.31	8.33	18.49	10.4	70.4
4	132.58	57.87	85.23	91.9	41.1	8.29	7.10	23.15	12.8	69.6
5	11.74	47.62	66.29	41.9	66.2	1.79	23.67	17.86	14.4	78.5
6	89.29	77.52	47.62	71.5	30.1	2.91	8.93	9.69	7.2	51.8
7	109.72	72.92	66.67	83.1	28.0	10.59	14.58	31.25	18.8	58.3
8	86.35	52.08	88.18	75.5	26.9	10.07	7.72	20.83	12.9	54.3
9	58.22	57.29	60.00	58.5	2.4	17.53	6.67	31.25	18.5	66.6
10	118.30	58.33	98.04	91.6	33.3	5.00	19.61	25.00	16.5	62.6
11	142.36	79.37	86.81	102.8	33.5	1.59	8.68	23.81	11.4	99.9
12	83.33	60.92	58.33	67.5	20.4	7.31	12.50	36.55	18.8	83.0
13	154.96	32.35	77.48	88.3	70.3	19.41	17.22	32.35	23.0	35.6
Média	106.63	58.40	71.68	76.3	34.7	7.50	14.11	25.38	15.7	66.8

CV = coefficient of variation.

Table 3 Pearson's correlation coefficient, regression equations, and coefficients of determination expressing the relationship between coffee flowers (x) and leaves (y) nutrient contents in high and low productive stands. Manhuaçu-MG, 2008.

Nutrients	---------------------High productive stands---------------------			------------------------Low productive stands---------------------
	Coefficient	Equations	R²	Coefficient	Equations	R²
N	0.578^*	$y = 1.70 + 0.35 x$	0.334	0.324
P	0.707^*	< $y = 0.05 + 0.33 x$	0.500	0.255
K	-0.079			0.385
Ca	-0.039			0.611^*	$y = 0.90 + 1.02 x$	0.373
Mg	0.433			0.073
S	0.200			-0.160
Zn	0.009			0.456
Cu	0.574^*	$y = 6.67 + 0.83 x$	0.330	0.437
Fe	0.926^*	$y = 37.87 + 0.91 x$	0.857	0.805^*	$y = 52.19 + 0.55 x$	0.648
Mn	0.715^*	$y = 53.96 + 2.02 x$	0.511	0.510
b	0.282			0.347

^*Significant values (p<0.05).

Table 4 Means, critical ranges (CR), coefficients of variation (CV, %), and confidence interval (CI) for macro and micronutrient concentrations (mg kg^-1) in coffee flowers and leaves in Manhuaçu, MG, Brazil, 2008.

Nutrients	-----------------------------Flowers------------------------------				--------------------------------Leaves-----------------------------
	Mean value	CR	CV	CI	Mean value	CR	CV	CI
N (dag kg^-1)	2.98 a	2.78 - 3.17	6.48	2.85 - 3.08	2.74 b	2.63 - 2.86	4.28	2.66 - 2.81
P (dag kg^-1)	0.26 a	0.23 - 0.28	9.21	0.24 - 0.27	0.14 b	0.13 - 0.14	7.72	0.13 - 0.15
K (dag kg^-1)	2.96 a	2.80 - 3.12	5.36	2.85 - 3.05	2.23 b	2.13 - 2.33	4.51	2.16 - 2.29
Ca (dag kg^-1)	0.33 b	0.30 - 0.37	13.51	0.30 - 0.36	1.13 a	1.04 - 1.22	8.23	1.07 - 1.18
Mg (dag kg^-1)	0.27 a	0.24 - 0.30	12.40	0.25 - 0.30	0.30 a	0.27 - 0.33	9.20	0.28 - 0.31
S (dag kg^-1)	0.17 a	0.15 - 0.18	9.79	0.15 - 0.18	0.16 a	0.15 - 0.18	9.40	0.15 - 0.18
Zn (mg kg^-1)	19 a	17 - 21	12.04	18 - 21	12 b	9 - 14	19.30	10 - 13
Cu (mg kg^-1)	15 a	12 - 18	23.81	13 - 17	19 a	15 - 23	27.13	16 - 22
Mn (mg kg^-1)	66 b	52 - 80	26.94	55 - 77	98 a	80 - 115	17.84	86 - 108
Fe (mg kg^-1)	34 b	26 - 43	31.85	27 - 40	123 a	99 - 148	25.05	103 - 141
B (mg kg^-1)	33 a	28 - 48	16.42	29 - 36	34 a	31 - 37	8.48	33 - 36

Means followed by the same letter in the row do not differ by the t test at 5% probability level.

y = 1.70 + 0.35 x

y = 0.05 + 0.33 x

y = 0.90 + 1.02 x

y = 6.67 + 0.83 x

y = 37.87 + 0.91 x

y = 52.19 + 0.55 x

y = 53.96 + 2.02 x

How to cite

copy

Universidade Federal de Santa Maria Universidade Federal de Santa Maria, Centro de Ciências Rurais , 97105-900 Santa Maria RS Brazil , Tel.: +55 55 3220-8698 , Fax: +55 55 3220-8695 - Santa Maria - RS - Brazil
E-mail: cienciarural@mail.ufsm.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

Chemical analyses of flowers and leaves for nutritional diagnoses of coffee trees

PlumX

Mensagem

[1] E-mail: samuel.valadares@ufv.br. ^*Corresponding author