Nutrient signature of Quebec (Canada) cranberry (Vaccinium macrocarpon Ait.)

Marchand, Sébastien; Parent, Léon‐Étienne; Deland, Jean-Pierre

doi:10.1590/s0100-29452013000100034

Cited by 15 publications

(9 citation statements)

References 12 publications

(20 reference statements)

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“…In case of high phenotypic plasticity of genotypes to nutrient supply, recent research in agronomy showed that plant ionomes can be tightly supervised by balance response models and critical hyper-ellipsoids in the Euclidean space (Hernandes et al, 2012; Parent et al, 2012a; Marchand et al, 2013). …”

Section: Discussionmentioning

confidence: 99%

The Plant Ionome Revisited by the Nutrient Balance Concept

Parent¹,

Parent²,

Egozcue³

et al. 2013

Front. Plant Sci.

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Tissue analysis is commonly used in ecology and agronomy to portray plant nutrient signatures. Nutrient concentration data, or ionomes, belong to the compositional data class, i.e., multivariate data that are proportions of some whole, hence carrying important numerical properties. Statistics computed across raw or ordinary log-transformed nutrient data are intrinsically biased, hence possibly leading to wrong inferences. Our objective was to present a sound and robust approach based on a novel nutrient balance concept to classify plant ionomes. We analyzed leaf N, P, K, Ca, and Mg of two wild and six domesticated fruit species from Canada, Brazil, and New Zealand sampled during reproductive stages. Nutrient concentrations were (1) analyzed without transformation, (2) ordinary log-transformed as commonly but incorrectly applied in practice, (3) additive log-ratio (alr) transformed as surrogate to stoichiometric rules, and (4) converted to isometric log-ratios (ilr) arranged as sound nutrient balance variables. Raw concentration and ordinary log transformation both led to biased multivariate analysis due to redundancy between interacting nutrients. The alr- and ilr-transformed data provided unbiased discriminant analyses of plant ionomes, where wild and domesticated species formed distinct groups and the ionomes of species and cultivars were differentiated without numerical bias. The ilr nutrient balance concept is preferable to alr, because the ilr technique projects the most important interactions between nutrients into a convenient Euclidean space. This novel numerical approach allows rectifying historical biases and supervising phenotypic plasticity in plant nutrition studies.

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Section: Discussionmentioning

confidence: 99%

The Plant Ionome Revisited by the Nutrient Balance Concept

Parent¹,

Parent²,

Egozcue³

et al. 2013

Front. Plant Sci.

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“…Indeed, the average yield at Site A was 79% higher than the 2014 Québec average conventional production yield [3]. Recent studies in Québec have already reported yield samples as high as 66,000 kg ha −1 [22] although it was established 25 years ago that the potential for cranberry production would be approximately 57,000 kg ha…”

Section: Relationship Between Yield and Wtdmentioning

confidence: 99%

Water Table Control for Increasing Yield and Saving Water in Cranberry Production

et al. 2015

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Abstract:Water table control has been successfully tested to improve the sustainability of water management in cranberry production. In the province of Québec (Canada), three sites were investigated to determine the optimum water table depth below soil surface (WTD) using three criteria: (1) increasing yield without decreasing fruit quality; (2) minimizing the amount of water needed by the sprinkler system; and (3) avoiding hypoxic stresses in the rhizosphere. Our results show that the final yield, the berry sugar content, the total number of berries, the number of berries per upright, and the fruit set were maximized when the WTD was 60 cm. Sprinkler water savings of 77% were obtained where the WTD was shallower than 66 cm. In order to avoid hypoxic conditions due to poor drainage, the water level in the canals surrounding the beds should be lowered to 80 cm when a rainfall or a frost protection irrigation is anticipated. All sides of a block of beds must be surrounded by canals to ensure a uniform WTD and to avoid lateral hydraulic gradients that could cause peripheral seepage losses.

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“…The Mahalanobis distance, thanks to the covariance matrix included in its definition, can account for the usual inclined hyper-ellipsoidal shape of plant ionome scatters (Parent et al, 2012; Marchand et al, 2013). …”

Section: Theorymentioning

confidence: 99%

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

Parent

2013

Front. Plant Sci.

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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. Ionomes 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 | N,S] and [Mn | 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.

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Nutrient signature of Quebec (Canada) cranberry (Vaccinium macrocarpon Ait.)

Cited by 15 publications

References 12 publications

The Plant Ionome Revisited by the Nutrient Balance Concept

The Plant Ionome Revisited by the Nutrient Balance Concept

Water Table Control for Increasing Yield and Saving Water in Cranberry Production

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

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