Unbiased Approach to Diagnose the Nutrient Status of Red Guava (Psidium Guajava)

Parent, Léon‐Étienne; Parent, Sergie-Étienne; Rozane, Danilo Eduardo; Amorim, Daniel Angelucci de; Hernandes, Amanda; Natale, W.

doi:10.17660/actahortic.2012.959.18

Cited by 9 publications

(11 citation statements)

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“…To avoid bias, the isometric log-ratio (ilr) transformation technique that was developed by Egozcue et al (2003) allows D -1 orthogonal contrasts to be produced, which are interpreted as balances between two groups of nutrients in an Euclidean space. The ilr transformation also illustrates nutrient relationships according to partitions that decompose the composition into hierarchically arranged or nested groups of nutrients, i.e., subcompositions (Parent S. E. et al, 2012). Further, ilr is the most appropriate transformation and is more easily interpreted for plant nutrient diagnosis (Parent, 2011;Parent L. E. et al, 2012;Parent et al, 2013) compared to additive log-ratios or centered log-ratios.…”

Section: Introductionmentioning

confidence: 99%

Contrasting Nutritional Acclimation of Sugar Maple (Acer saccharum Marsh.) and Red Maple (Acer rubrum L.) to Increasing Conifers and Soil Acidity as Demonstrated by Foliar Nutrient Balances

et al. 2016

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Sugar maple (Acer saccharum Marshall, SM) is believed to be more sensitive to acidic and nutrient-poor soils associated with conifer-dominated stands than red maple (Acer rubrum L., RM). Greater foliar nutrient use efficiency (FNUE) of RM is likely the cause for this difference. In the context of climate change, this greater FNUE could be key in favoring northward migration of RM over SM. We used the concept of foliar nutrient balances to study the nutrition of SM and RM seedlings along an increasing gradient in forest floor acidity conditioned by increasing proportions of conifers (pH values ranging from 4.39 under hardwoods, to 4.29 under mixed hardwood-conifer stands and 4.05 under conifer-dominated stands). Nutrients were subjected to isometric log-ratio (ilr) transformation, which views the leaf as one closed system and considers interactions between nutrients. The ilr method eliminates numerical biases and weak statistical inferences based on raw or "operationally" log-transformed data. We analyzed foliar nutrients of SM and RM seedlings and found that the [Ca,Mg,K| P,N] and [Ca,Mg| K] balances of SM seedlings were significantly different among soil acidity levels, whereas they did not vary for RM seedlings. For SM seedlings, these differences among soil acidity levels were due to a significant decrease in foliar Ca and Mg concentrations with increasing forest floor acidity. Similar differences in foliar balances were also found between healthy and declining SM stands estimated from literature values. Conversely, foliar balances of RM seedlings did not differ among soil acidity levels, even though untransformed foliar nutrient concentrations were significantly different. This result highlights the importance of using ilr transformation, since it provides more sensitive results than standard testing of untransformed nutrient concentrations. The lower nutrient Collin et al. Contrasting Foliar Nutrient Balance in Acer spp. requirements of RM and its greater capacity to maintain nutrient equilibrium are factors that could explain its competitive success and recent northward expansion. This study underscores the importance of using nutrient balances to study the redistribution of plant species in natural ecosystems under climate change.

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Section: Introductionmentioning

confidence: 99%

Contrasting Nutritional Acclimation of Sugar Maple (Acer saccharum Marsh.) and Red Maple (Acer rubrum L.) to Increasing Conifers and Soil Acidity as Demonstrated by Foliar Nutrient Balances

et al. 2016

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“…Assigning orthogonal coefficients to contrasts allows computing orthogonal balances as isometric log-ratio ( ilr ) in the Euclidean space (Egozcue et al, 2003). The ilr technique was found to be the most appropriate to describe natural patterns in geochemistry (Buccianti, 2011), plant nutrition (Parent, 2011; Parent et al, 2012c), environmental sciences (Filzmoser et al, 2009a), soil physics (Parent et al, 2012b), chemistry and biochemistry (Parent et al, 2012a), and other disciplines (Pawlowsky-Glahn and Buccianti, 2011). …”

Section: Introductionmentioning

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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“…A system of plant nutrient balances was designed with log contrasts between anions and cations as [Mg,Ca,K | P,N], between anions as [P | N] and, between cations as [Mg,Ca | K] and [Ca | Mg] [34]. The nutrient balance concept was used to diagnose soil-plant relationships [32] and crop mineral nutrition [35,36] and to classify the nutrient signature of plant species [37].…”

Section: Introductionmentioning

confidence: 99%

Mineral Balance Plasticity of Cloudberry (<i>Rubus chamaemorus</i>) in Quebec-Labrador Bogs

Parent¹,

Parent²,

Hébert-Gentile³

et al. 2013

AJPS

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The "ionome", or plant elemental signature, is the elemental composition of an organisms, that may vary with genotypic traits and phenotypic plasticity. Cloudberry (Rubus chamaemorus L.) is a circumboreal wild berry naturally growing in oligotrophic oceanic bogs of Quebec and Labrador. Our objective was to relate cloudberry stand productivity to the ionomes of female ramets and explore the cause of nutrient imbalance in low-performing stands. We analyzed 13 elements in female ramets collected in 86 natural sites where crop productivity varied widely. We computed orthogonally arranged balances reflecting plant stoichiometric rules and soil biogeochemistry. Balances were expressed as isometric log ratios (ilr) between ad hoc sub-compositions. Balances were synthesized into a Mahalanobis distance optimized based on receiving operating characteristics (ROC). The critical Mahalanobis distance was found to be 5.29 for cutoff berry yield of 3.8 g·m −2 with test performance of 0.88, as measured by the area under the ROC curve. Although past research on cloudberry focused mainly on the N/P ratio, this exploratory mineral balance analysis indicated that imbalance in the [P,N | S,C] and [Al | Nutrients] partitions appeared to be the factors limiting the most cloudberry productivity in the bogs. Some highly productive stands showed relatively high C fixation and K use efficiency. Due to the complexity of interactions, diagnosis should be conducted computing first a global imbalance index (Mahalanobis distance), then examining in the balance domain binary partitions departing most from reference, and finally appreciating relative shortage, sufficiency or excess of elements in the concentration domain.

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Unbiased Approach to Diagnose the Nutrient Status of Red Guava (Psidium Guajava)

Cited by 9 publications

References 0 publications

Contrasting Nutritional Acclimation of Sugar Maple (Acer saccharum Marsh.) and Red Maple (Acer rubrum L.) to Increasing Conifers and Soil Acidity as Demonstrated by Foliar Nutrient Balances

Contrasting Nutritional Acclimation of Sugar Maple (Acer saccharum Marsh.) and Red Maple (Acer rubrum L.) to Increasing Conifers and Soil Acidity as Demonstrated by Foliar Nutrient Balances

The Plant Ionome Revisited by the Nutrient Balance Concept

Mineral Balance Plasticity of Cloudberry (<i>Rubus chamaemorus</i>) in Quebec-Labrador Bogs

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Unbiased Approach to Diagnose the Nutrient Status of Red Guava (Psidium Guajava)

Cited by 9 publications

References 0 publications

Contrasting Nutritional Acclimation of Sugar Maple (Acer saccharum Marsh.) and Red Maple (Acer rubrum L.) to Increasing Conifers and Soil Acidity as Demonstrated by Foliar Nutrient Balances

Contrasting Nutritional Acclimation of Sugar Maple (Acer saccharum Marsh.) and Red Maple (Acer rubrum L.) to Increasing Conifers and Soil Acidity as Demonstrated by Foliar Nutrient Balances

The Plant Ionome Revisited by the Nutrient Balance Concept

Mineral Balance Plasticity of Cloudberry (&lt;i&gt;Rubus chamaemorus&lt;/i&gt;) in Quebec-Labrador Bogs

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Product

Resources

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Mineral Balance Plasticity of Cloudberry (<i>Rubus chamaemorus</i>) in Quebec-Labrador Bogs