Balancing guava nutrition with liming and fertilization
Guava response to liming and fertilization can be monitored by tissue testing. Tissue nutrient signature is often diagnosed against nutrient concentration standards. However, this approach has been criticized for not considering nutrient interactions and to generate numerical biases as a result of d...
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Sociedade Brasileira de Fruticultura
2012-12-01
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doaj-0a1232d81a2842b58e10b3782a28bc8b2020-11-24T21:01:43ZengSociedade Brasileira de FruticulturaRevista Brasileira de Fruticultura1806-99672012-12-013441224123410.1590/S0100-29452012000400032S0100-29452012000400032Balancing guava nutrition with liming and fertilizationAmanda HernandesSerge-Étienne Parent0William Natale1Léon Étienne Parent2Université LavalUniversidade Estadual PaulistaUniversidade Estadual PaulistaGuava response to liming and fertilization can be monitored by tissue testing. Tissue nutrient signature is often diagnosed against nutrient concentration standards. However, this approach has been criticized for not considering nutrient interactions and to generate numerical biases as a result of data redundancy, scale dependency and non-normal distribution. Techniques of compositional data analysis can control those biases by balancing groups of nutrients, such as those involved in liming and fertilization. The sequentially arranged and orthonormal isometric log ratios (ilr) or balances avoid numerical bias inherent to compositional data. The objectives were to relate tissue nutrient balances with the production of "Paluma" guava orchards differentially limed and fertilized, and to adjust the current patterns of nutrient balance with the range of more productive guava trees. It was conducted one experiment of 7-yr of liming and three experiments of 3-yr with N, P and K trials in 'Paluma' orchards on an Oxisol. Plant N, P, K, Ca and Mg were monitored yearly. It was selected the [N, P, K | Ca, Mg], [N, P | K], [N | P] and [Ca | Mg] balances to set apart the effects of liming (Ca-Mg) and fertilizers (N-K) on macronutrient balances. Liming largely influenced nutrient balances of guava in the Oxisol while fertilization was less influential. The large range of guava yields and nutrient balances allowed defining balance ranges and comparing them with the critical ranges of nutrient concentration values currently used in Brazil and combined into ilr coordinates.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452012000400032&lng=en&tlng=enPsidium guajavaanálise composicional de dadosrelações log isométricas (ilr)nutrição mineral vegetalgeometria de Aitchison |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amanda Hernandes Serge-Étienne Parent William Natale Léon Étienne Parent |
spellingShingle |
Amanda Hernandes Serge-Étienne Parent William Natale Léon Étienne Parent Balancing guava nutrition with liming and fertilization Revista Brasileira de Fruticultura Psidium guajava análise composicional de dados relações log isométricas (ilr) nutrição mineral vegetal geometria de Aitchison |
author_facet |
Amanda Hernandes Serge-Étienne Parent William Natale Léon Étienne Parent |
author_sort |
Amanda Hernandes |
title |
Balancing guava nutrition with liming and fertilization |
title_short |
Balancing guava nutrition with liming and fertilization |
title_full |
Balancing guava nutrition with liming and fertilization |
title_fullStr |
Balancing guava nutrition with liming and fertilization |
title_full_unstemmed |
Balancing guava nutrition with liming and fertilization |
title_sort |
balancing guava nutrition with liming and fertilization |
publisher |
Sociedade Brasileira de Fruticultura |
series |
Revista Brasileira de Fruticultura |
issn |
1806-9967 |
publishDate |
2012-12-01 |
description |
Guava response to liming and fertilization can be monitored by tissue testing. Tissue nutrient signature is often diagnosed against nutrient concentration standards. However, this approach has been criticized for not considering nutrient interactions and to generate numerical biases as a result of data redundancy, scale dependency and non-normal distribution. Techniques of compositional data analysis can control those biases by balancing groups of nutrients, such as those involved in liming and fertilization. The sequentially arranged and orthonormal isometric log ratios (ilr) or balances avoid numerical bias inherent to compositional data. The objectives were to relate tissue nutrient balances with the production of "Paluma" guava orchards differentially limed and fertilized, and to adjust the current patterns of nutrient balance with the range of more productive guava trees. It was conducted one experiment of 7-yr of liming and three experiments of 3-yr with N, P and K trials in 'Paluma' orchards on an Oxisol. Plant N, P, K, Ca and Mg were monitored yearly. It was selected the [N, P, K | Ca, Mg], [N, P | K], [N | P] and [Ca | Mg] balances to set apart the effects of liming (Ca-Mg) and fertilizers (N-K) on macronutrient balances. Liming largely influenced nutrient balances of guava in the Oxisol while fertilization was less influential. The large range of guava yields and nutrient balances allowed defining balance ranges and comparing them with the critical ranges of nutrient concentration values currently used in Brazil and combined into ilr coordinates. |
topic |
Psidium guajava análise composicional de dados relações log isométricas (ilr) nutrição mineral vegetal geometria de Aitchison |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452012000400032&lng=en&tlng=en |
work_keys_str_mv |
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