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

Fertilizer recommendations for cranberry crops are guided by plant and soil tests. However, critical tissue concentration ranges used for diagnostic purposes are inherently biased by nutrient interactions and physiological age. Compositional data analysis using isometric log ratios (ilr) of nutrients as well as time detrending can avoid numerical biases. The objective was to derive unbiased nutrient signature standards for cranberry in Quebec and compare those standards to literature data. Field trials were conducted during 3 consecutive years with varying P treatments at six commercial sites in Quebec. Leaf tissues were analyzed for N, P, K, Ca, Mg, B, Cu, Zn, Mn and Fe. The analytical results were transformed into ilr nutrient balances of parts and groups of parts. High-yield reference ilr values were computed for cranberry yielding greater than 35 Mg ha-1. Many cranberry fields appeared to be over-supplied with K and either under-supplied with Mn or over-supplied with Fe as shown by their imbalanced [K | Ca, Mg] and [Mn | Fe] ratios. Nutrient concentration ranges from Maine and Wisconsin, USA, were combined into ilr values to generate ranges of balances. It was found that these nutrient ranges were much too broad for application in Quebec or outside the Quebec ranges for the [Ca | Mg] and the [Mn | Fe] balances, that were lower compared to those of high yielding cranberry crops in Quebec.

Estudo taxonômico de Leschenaultia Robineau-Desvoidy (Diptera, Tachinidae)

Taxonomic study of Leschenaultia Robineau-Desvoidy (Diptera, Tachinidae). The genus Leschenaultia Robineau-Desvoidy, 1830 is redescribed. Two genera are considered as its junior synonyms: Echinomasicera Townsend, 1915 syn. nov. and Parachaetopsis Blanchard, 1959 syn. nov. Thirty two especies are treated, as follows: 18 described as new, Leschenaultia aldrichi, sp. nov. (Brazil, Santa Catarina), L. arnaudi sp. nov. (Haiti, La Salle), L. bergenstammi sp. nov. (Peru, San Martin), L. bessi sp. nov. (Brazil, Santa Catarina), L. bigoti sp. nov. (Peru, Huanuco), L. blanchardi sp. nov. (Equador, Cuenca), L. braueri sp. nov. (Brazil, Mato Grosso), L. brooksi sp. nov. (Brazil, Rio de Janeiro), L. coquilletti sp. nov. (Brazil, Santa Catarina); L. cortesi sp. nov. (Venezuela, Maracay), L. currani sp. nov. (Brazil, São Paulo), L. loewi sp. nov. (Mexico, Vera Cruz), L. macquarti sp. nov. (U. S. A., Arizona), L. reinhardi sp. nov. (Canada, Quebec), L. sabroskyi sp. nov. from (U. S. A., California), L. schineri sp. nov. (U. S. A., California), L. thompsoni sp. nov. (Mexico, Mexico City), L. townsendi sp. nov. (Mexico, Puebla), and 14 known species, for these, diagnoses are given: L. adusta (Loew, 1872); L. americana (Brauer & Bergenstamm, 1893); L. bicolor (Macquart, 1846) = L. fusca (Townsend, 1916) syn. nov.; = Parachaetopsis proseni Blanchard, 1959 syn. nov.; L. ciliata (Macquart, 1848); L. exul (Townsend, 1892); L. fulvipes (Bigot, 1887); L. grossa Brooks, 1947; L. halisidotae Brooks, 1947; L. hospita Reinhard, 1952; L. hystrix (Townsend, 1915) comb. nov., L. jurinioides (Townsend, 1895); L. leucophrys (Wiedemann, 1830) = Leschenaultia latifrons (Walker, 1852) syn. nov. = Parachaeta nigricalyptrata (Macquart, 1855) syn. nov.; L. montagna (Townsend, 1912); L. nuda Thompson, 1963. One species was not examined, Leschenaultia nigrisquamis (Townsend, 1892), and two were not recognized, L. trichopsis (Bigot, 1887) and L. hirta Robineau-Desvoidy, 1830. Keys for Nearctic and Neotropical species (only for males) are provided, as well as geographical distribution and illustrations for each species.

Difusão da pesquisa educacional entre profissionais do ensino e círculos acadêmicos

Este artigo apresenta os resultados de uma pesquisa feita em Quebec sobre as necessidades, expectativas, representações e conhecimentos dos agentes do sistema educativo quanto às formas, modalidades e práticas que utilizam e que poderiam e deveriam utilizar no processo de transferência e divulgação de resultados de pesquisa sobre o ensino. Entrevistas semi-estruturadas feitas com os principais agentes do sistema educativo (pesquisadores, responsáveis por associações pedagógicas, sindicatos e Ministério da Educação) e um estudo realizado com os professores constituem o material no qual baseamos nossa metodologia. A síntese dos dados sugere pistas para a solução das dificuldades atualmente enfrentadas para a difusão das pesquisas universitárias junto aos professores.

Diagnosis of the nutrient compositional space of fruit crops

Tissue analysis is a useful tool for the nutrient management of fruit orchards. The mineral composition of diagnostic tissues expressed as nutrient concentration on a dry weight basis has long been used to assess the status of 'pure' nutrients. When nutrients are mixed and interact in plant tissues, their proportions or concentrations change relatively to each other as a result of synergism, antagonism, or neutrality, hence producing resonance within the closed space of tissue composition. Ternary diagrams and nutrient ratios are early representations of interacting nutrients in the compositional space. Dual and multiple interactions were integrated by the Diagnosis and Recommendation Integrated System (DRIS) into nutrient indexes and by Compositional Nutrient Diagnosis into centered log ratios (CND-clr). DRIS has some computational flaws such as using a dry matter index that is not a part as well as nutrient products (e.g. NxCa) instead of ratios. DRIS and CND-clr integrate all possible nutrient interactions without defining an ad hoc interactive model. They diagnose D components while D-1 could be diagnosed in the D-compositional Hilbert space. The isometric log ratio (ilr) coordinates overcome these problems using orthonormal binary nutrient partitions instead of dual ratios. In this study, it is presented a nutrient interactive model as well as computation methods for DRIS and CND-clr and CND-ilr coordinates (CND-ilr) using leaf analytical data from an experimental apple orchard in Southwestern Quebec, Canada. It was computed the Aitchison and Mahalanobis distances across ilr coordinates as measures of nutrient imbalance. The effect of changing nutrient concentrations on ilr coordinates are simulated to identify the ones contributing the most to nutrient imbalance.