Plant iononne diagnosis using sound balances: case study with mango (Mangifera Indica)


Autoria(s): Parent, Serge-Etienne; Parent, Leon E.; Rozane, Danilo Eduardo; Natale, William
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

03/12/2014

03/12/2014

12/11/2013

Resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Plant ionomes and soil nutrients are commonly diagnosed in agronomy using concentration and nutrient ratio ranges. However, both diagnoses are biased by redundancy of information, subcompositional incoherence and non-normal distribution inherent to compositional data, potentially leading to conflicting results and wrong inferences. Our objective was to present an unbiased statistical approach of plant nutrient diagnosis using a balance concept and mango (Mangifera indica) as test crop. We collected foliar samples at flowering stage in 175 mango orchards. The ionomes comprised 11 nutrients (S, N, P, K, Ca, Mg, B, Cu, Zn, Mn, Fe). Traditional multivariate methods were found to be biased. lonomes were thus represented by unbiased balances computed as isometric log ratios (ilr). Soil fertility attributes (pH and bioavailable nutrients) were transformed into balances to conduct discriminant analysis. The orchards differed more from genotype than soil nutrient signatures. A customized receiver operating characteristic (ROC) iterative procedure was developed to classify tissue ionomes between balanced/misbalanced and high/low-yielders. The ROC partitioning procedure showed that the critical Mahalanobis distance of 4.08 separating balanced from imbalanced specimens about yield cut-off of 128.5 kg fruit tree(-1) proved to be a fairly informative test (area under curve = 0.84-0.92). The [P vertical bar N,S] and [Mn vertical bar Cu,Zn] balances were found to be potential sources of misbalance in the less productive orchards, and should thus be further investigated in field experiments. We propose using a coherent pan balance diagnostic method with median ilr values of top yielders centered at fulcrums of a mobile and the critical Mahalanobis distance as a guide for global nutrient balance. Nutrient concentrations in weighing pans assisted appreciating nutrients as relative shortage, adequacy or excess in balances.

Formato

12

Identificador

http://dx.doi.org/10.3389/fpls.2013.00449

Frontiers In Plant Science. Lausanne: Frontiers Research Foundation, v. 4, 12 p., 2013.

1664-462X

http://hdl.handle.net/11449/113418

10.3389/fpls.2013.00449

WOS:000331445300001

WOS000331445300001.pdf

Idioma(s)

eng

Publicador

Frontiers Research Foundation

Relação

Frontiers In Plant Science

Direitos

openAccess

Palavras-Chave #Plant nutrition #ionomics #crop management #mango #compositional data analysis
Tipo

info:eu-repo/semantics/article