Multinutrient diagnosis of nitrogen status in plants

Parent, Léon E.; Poirier, Mathilde; Asselin, M

doi:10.1080/01904169509364957

Cited by 15 publications

(10 citation statements)

References 11 publications

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“…Compared to DRIS that cannot evolve consistently, CND-clr can take advantage of all packages of multivariate data analyses after removing the filling value to avoid matrix singularity (Parent et al, 2009;Parent et al, 2013a, b). Parent et al (1995) observed N limitation in conifer seedlings using CND-clr more clearly compared to N concentration. Close correlations were found between DRIS and CND-clr indices in potato (Parent et al, 1994a) and carrot (Parent et al, 1994b) crops grown in Quebec, Canada.…”

Section: Cndmentioning

confidence: 96%

“…The CND technique has been developed at Laval University, Canada, by Parent and his colleagues (Parent & Dafir, 1992;Parent et al, 1994a, b;Parent et al, 1995;Parent & Khiari, 2003;Parent et al, 2005) for several crops. In Brazil, some studies were carried out with CND in soybean (Urano et al 2006;Urano et al, 2007), eucalyptus (Silva et al, 2004), guava and mango (Parent et al, 2013b).…”

Section: Cndmentioning

confidence: 99%

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Evolution of the predictive criteria for the tropical fruit tree nutritional status

Rozane¹,

Parent²,

Natale³

2015

Científica

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The diagnosis of plant nutritional status that aims to balance essential elements in the plant is of utmost importance for sustainable agriculture. Nutritional diagnosis is a technique that has been implemented to maximize the economic return from fertilization and minimize losses to the environment. A balance can be defined as a relationship between components interacting in plant tissue, where some nutrients may be present in excess, deficiency or sufficiency. Diagnostic methods have been evolving constantly, allowing to interpret nutrient levels in isolation to more complex methods accounting for nutrient interactions.Additional keywords: Plant nutrition, nutrient composition, nutrient interaction, compositional nutrient diagnosis. ResumoA diagnose nutricional, ou seja, o conhecimento sobre o equilíbrio entre os elementos essenciais no tecido vegetal, é uma técnica empregada para elevar ao máximo o retorno econômico nas explorações agrícolas, preservando de forma racional o ambiente. O equilíbrio pode ser comparado a uma balança de pratos, na qual os nutrientes podem estar presentes em excesso, deficientes ou em teores adequados (informação relativa), considerando-se o teor dos demais componentes. A predição do diagnóstico do estado nutricional das plantas é de extrema importância para a agricultura durável, cujos métodos têm evoluído constantemente, permitindo uma interpretação imparcial dos teores dos nutrientes e de suas interações.Palavras-chave adicionais: Nutrição de plantas, composição nutricional, interação de nutrientes, CND.

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Section: Cndmentioning

confidence: 96%

Section: Cndmentioning

confidence: 99%

Evolution of the predictive criteria for the tropical fruit tree nutritional status

Rozane¹,

Parent²,

Natale³

2015

Científica

View full text Add to dashboard Cite

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“…Since compositional data analysis requires at least dual component ratioing to account for resonance due to any compositional change in a simplex constrained to unity (Aitchison 1986), DRIS and CND indices have been found to be highly correlated (r = 0.954 to 0.994) to each other for several agricultural crops (Parent et al 1994a,b). Parent et al (1995) found that the critical nitrogen range for conifer seedlings was more clearly defined using a CND multi-ratio expression compared with a raw nutrient concentration. The CND multi-ratio can be standardized as a For personal use only.…”

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confidence: 99%

Nitrogen diagnosis of Christmas tree needle greenness

Parent¹,

Khiari²,

Pettigrew³

2005

Can. J. Plant Sci.

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2005. Nutrient diagnosis of Christmas tree needle greenness. Can. J. Plant Sci. 85: 939-947. Christmas tree (Abies balsamea L.) fertilization is generally guided by needle colour or chemical analysis. Our objective was to develop critical values for the traditional critical nutrient range (CNR) and the compositional nutrient diagnosis (CND) of Christmas tree needles for the Quebec Appalachians. We collected survey specimens (n = 174) and obtained a validation dataset made up of 10 paired dark green and pale green stands. The compositional simplex for CND comprised five nutrient concentration values (N, K, P, Ca, and Mg) and a filling value R 5 computed from differences between the whole tissue composition (i.e., 1000 g kg-1) and the known nutrient concentration values expressed in g kg-1. Nutrient multi-ratios were computed as the natural logarithm of the ratio of one nutrient concentration value to the geometric mean of all nutrients and the R 5. Nutrient indexes (I N , …, I R5) were computed as standard variables using the mean and the standard variation of nutrient multi-ratios for the high-greenness sub-population. A nutrient imbalance index, CNDr 2 , was computed as the sum of squared CND indexes. Needle colour was assessed using a colour chart and a SPAD-502 chlorophyll meter. The critical SPAD value was set at 48-50 for a high greenness rating in the survey dataset, and the high-greenness sub-population comprised 95 specimens. Nitrogen and P concentrations were highly correlated to each other. Critical concentrations were found to be 17.8 g N kg-1 , and 1.8 g P kg-1. CND diagnosis of the validation dataset was similar to CNR, but CND classified nutrients in the order of their limitation to colour rating. Using the validation dataset, critical values were 17.2 g N kg-1 and-1.015 as I N. The validated critical CNDr 2 for five nutrients (N, K, P, Ca, and Mg) was 12.6, which was close to the critical CNDr 2 value using the survey dataset (11.6) and to the theoretical χ 2 value of 11.1 (P < 0.05). Key words: Tissue analysis, nutrient diagnosis, chlorophyll index, nutrient imbalance index Parent, L. E., Khiari, L. et Pettigrew, A. 2005. Diagnostic nutritif de la verdure des aiguilles chez le sapin de Noël. Can. J. Plant Sci. 85: 939-947. La fertilisation du sapin de Noël s'appuie sur la couleur et l'analyse chimique des aiguilles. Notre objectif était de développer des valeurs critiques CND et d'intervalles critiques de concentrations chez le sapin de Noël dans la région appalachi-enne du Québec. Nous disposions d'un inventaire de 174 spécimens et d'un jeu de données de validation pour dix plantations appariées contenant des arbres vert foncé ou vert pâle. Le simplex de composition comprenait cinq concentrations nutritives (N, K, P, Ca, Mg) et une valeur de remplissage R 5 calculée par différence entre le tout (1000 g kg-1) et la somme des concentrations connues. Les indices CND (I N , …, I R5) étaient calculés comme des variables normalisées en utilisant la moyenne et l'écart type de la sous-population de spéc...

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“…Propostas de metodologias de interpretação de análises abrangendo t odos os elementos, atualmente estão representados por: DRIS através dos índices dos nutrientes (ID-DRIS) (Beaufils, 1973) e os índices de balanço dos nutrientes-DRIS (IBN-DRIS) (Sumner, 1977a;1977d), os índices de balanço DOP (Deviation from Optimum Percentage) Montañez et al, 1995;Sanz et al, 1999), os conceitos de CND (Compositional Nutrient Diagnosis) (Parent & Dafir, 1992;Parent et al, 1993;Parent et al, 1994a;Parent et al, 1994b;Parent et al, 1995) e por PCA (Principal components analysis) (Holland, 1966;Ovalles & Collins, 1988;Delvaux, 1995 …”

Section: Metodologias De Interpretação De Análiseunclassified

“…Entretanto nas culturas e/ou áreas novas, dentro da qual se tem de pouca ou nenhuma informação, o amostragem da população surge como uma alternativa confiável (Cochran, 1965;Esteban & Aguilar, 1976;Langenegger & Du Plessis, 1977;Delvaux et al, 1986;Bataglia, 1989;Hockman et al, 1989;Lozano & Huynh, 1989;Bataglia & Santos, 1990;Bowen, 1990;Szücs & Kallay, 1990;Dara et al, 1992;Goh & Malakouti, 1992;Adetunji, 1994;Parent et al, 1995;Failla et al, 1997;Awasthi et al, 1998;Raghupathi et al, 2002).…”

Section: Populações De Referênciaunclassified

Avaliação do estado nutricional e da fertilidade do solo na cultura do plátano (Musa AAB subgrupo Plátano cv. Hárton)

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Multinutrient diagnosis of nitrogen status in plants

Cited by 15 publications

References 11 publications

Evolution of the predictive criteria for the tropical fruit tree nutritional status

Evolution of the predictive criteria for the tropical fruit tree nutritional status

Nitrogen diagnosis of Christmas tree needle greenness

Avaliação do estado nutricional e da fertilidade do solo na cultura do plátano (Musa AAB subgrupo Plátano cv. Hárton)

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