Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree
Abstract The development of crops is related to their nutritional status and the leaf chlorophyll apparent index. The objective of this study was to use fuzzy classification to determine the degree of membership (fuzzy index - FI) of macronutrientes and leaf micronutrients classified as low, adequat...
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Academia Brasileira de Ciências
2021-07-01
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| Series: | Anais da Academia Brasileira de Ciências |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000501601&tlng=en |
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| author | JULIÃO S.S. LIMA MARCELO S. ALTOÉ SAMUEL A. SILVA ABEL S. FONSECA CAÍQUE C. MEDAUAR |
| author_facet | JULIÃO S.S. LIMA MARCELO S. ALTOÉ SAMUEL A. SILVA ABEL S. FONSECA CAÍQUE C. MEDAUAR |
| author_sort | JULIÃO S.S. LIMA |
| collection | DOAJ |
| description | Abstract The development of crops is related to their nutritional status and the leaf chlorophyll apparent index. The objective of this study was to use fuzzy classification to determine the degree of membership (fuzzy index - FI) of macronutrientes and leaf micronutrients classified as low, adequate and high, quantify the chlorophyll index and to determine the spatial variability of these attributes for the rubber tree (Hevea brasiliensis) (Fx 3864) at the initial stage of development, aiming at the definition of management zones. Sampling grid regulates at 6x7 m spacing was built to determine the attributes: chlorophyll a and b, macro and leaf micronutrients, totaling 100 sample points. The fuzzy classification and geostatistical was used to map the nutritional status of the rubber tree. In the fuzzy analysis the macronutrient map shows the degree of membership 0.50<FI<0.75, in more than 75% of the area, indicating high nutritional status. The limiting factor was the concentration of P in the lowest percentage of points (58%) in the appropriate class. Micronutrients have 0.25<FI<0.50, for more than 75% of the area, therefore, average nutritional status. Leaf Cu presented 48% of the data in low sufficiency. Therefore, it is recommended to analyze macronutrients and leaf micronutrients separately to define management zones for foliar fertilization. Chlorophyll a, b and a/b leaf index do not correlate with macronutrients and fuzzyficated micronutrients. The leaf indices of chlorophyll a and b have a very high correlation (r = 0.89). |
| first_indexed | 2024-12-17T20:16:23Z |
| format | Article |
| id | doaj.art-7f514aa8df7a43e7b056d58605ce28c4 |
| institution | Directory Open Access Journal |
| issn | 1678-2690 |
| language | English |
| last_indexed | 2024-12-17T20:16:23Z |
| publishDate | 2021-07-01 |
| publisher | Academia Brasileira de Ciências |
| record_format | Article |
| series | Anais da Academia Brasileira de Ciências |
| spelling | doaj.art-7f514aa8df7a43e7b056d58605ce28c42022-12-21T21:34:06ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902021-07-0193310.1590/0001-3765202120191336Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber treeJULIÃO S.S. LIMAhttps://orcid.org/0000-0002-8178-3937MARCELO S. ALTOÉhttps://orcid.org/0000-0002-1842-8289SAMUEL A. SILVAhttps://orcid.org/0000-0002-0718-7328ABEL S. FONSECAhttps://orcid.org/0000-0002-2096-3520CAÍQUE C. MEDAUARhttps://orcid.org/0000-0001-8339-5244Abstract The development of crops is related to their nutritional status and the leaf chlorophyll apparent index. The objective of this study was to use fuzzy classification to determine the degree of membership (fuzzy index - FI) of macronutrientes and leaf micronutrients classified as low, adequate and high, quantify the chlorophyll index and to determine the spatial variability of these attributes for the rubber tree (Hevea brasiliensis) (Fx 3864) at the initial stage of development, aiming at the definition of management zones. Sampling grid regulates at 6x7 m spacing was built to determine the attributes: chlorophyll a and b, macro and leaf micronutrients, totaling 100 sample points. The fuzzy classification and geostatistical was used to map the nutritional status of the rubber tree. In the fuzzy analysis the macronutrient map shows the degree of membership 0.50<FI<0.75, in more than 75% of the area, indicating high nutritional status. The limiting factor was the concentration of P in the lowest percentage of points (58%) in the appropriate class. Micronutrients have 0.25<FI<0.50, for more than 75% of the area, therefore, average nutritional status. Leaf Cu presented 48% of the data in low sufficiency. Therefore, it is recommended to analyze macronutrients and leaf micronutrients separately to define management zones for foliar fertilization. Chlorophyll a, b and a/b leaf index do not correlate with macronutrients and fuzzyficated micronutrients. The leaf indices of chlorophyll a and b have a very high correlation (r = 0.89).http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000501601&tlng=enfuzzy classificationgeostatisticsleaf nutrientsprecision silviculture |
| spellingShingle | JULIÃO S.S. LIMA MARCELO S. ALTOÉ SAMUEL A. SILVA ABEL S. FONSECA CAÍQUE C. MEDAUAR Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree Anais da Academia Brasileira de Ciências fuzzy classification geostatistics leaf nutrients precision silviculture |
| title | Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree |
| title_full | Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree |
| title_fullStr | Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree |
| title_full_unstemmed | Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree |
| title_short | Spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree |
| title_sort | spatial variability of the nutritional status and the leaf chlorophyll index of from rubber tree |
| topic | fuzzy classification geostatistics leaf nutrients precision silviculture |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000501601&tlng=en |
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