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Dive into the research topics where Máira Milani is active.

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Featured researches published by Máira Milani.


Pesquisa Agropecuaria Brasileira | 2006

Divergência genética entre acessos e cultivares de mamoneira por meio de estatística multivariada

Mauro Nóbrega da Costa; Walter Esfrain Pereira; Riselane de Lucena Alcântara Bruno; E. C. Freire; Márcia Barreto de Medeiros Nóbrega; Máira Milani; Ademar Pereira de Oliveira

This work aimed to evaluate genetic divergence among castor bean (Ricinus communis L.) cultivars, in order to enable the choice of parents which make the formation of segregating populations possible. Accesses BRA 4871, BRA 2968, BRA 5550 and BRA 7722 Papo-de-gia, and cultivars BRS 188 Paraguacu, BRS 149 Nordestina, IAC-80, Mirante-10 and Pernambucana Melhorada were evaluated. Characteristics analyzed were: days to flowering, number of racemes per plant, length of pistillate region of main raceme, plant height, potential yield, and seed oil content. The genetic divergence among accesses and cultivars was studied by multivariate analysis techniques, with canonical variables and cluster analysis, making use of mean euclidean distance. Two groups were formed: group I, formed by eight genotypes; and group II, formed by one genotype, cultivar Mirante-10. In spite of being the more divergent, cultivar Mirante-10 should not be recommended for hybridization due to its low medium performance. The other cultivars also presented restrictions, as they were quite similar. The variables that more contributed to the genetic divergence were: days to flowering, length of pistillate region of main raceme, plant height, and seed oil content.


Micron | 2010

Heterochromatin and rDNA 5S and 45S sites as reliable cytogenetic markers for castor bean (Ricinus communis, Euphorbiaceae)

Santelmo Vasconcelos; Analice Araújo de Souza; Cássia Lima Silva Gusmão; Máira Milani; Ana Maria Benko-Iseppon; Ana Christina Brasileiro-Vidal

The increasing need for renewable energy resources has led to higher demands for biofuel, a scenario where the castor bean (Ricinus communis L.) seed oil represents a promising source of raw material. Despite that, information regarding the genome organization of R. communis is still scarce, impairing the application of modern biotechnological and breeding procedures. The present work brings the first evaluation of the mitotic chromosomes of this species, including 10 potentially interesting accessions for cultivation in semi-arid environments aiming at the biofuel production. The approach included standard staining, fluorochrome staining (CMA/DAPI), fluorescent in situ hybridization (FISH) with rDNA 5S and 45S, as well as silver impregnation. All accessions were diploid with 2n=2x=20, displaying mainly metacentric chromosomes, with CMA-positive bands (GC-rich) in all pairs of the complement. After silver impregnation, one to 14 nucleoli were observed, while the FISH with rDNA 45S revealed two large sites and a variety of minor dots, and the DNAr 5S hybridized in a single pair. The observed features were discussed and compared with literature data regarding pachytene bivalents.


Archive | 2012

Molecular Markers to Access Genetic Diversity of Castor Bean: Current Status and Prospects for Breeding Purposes

Santelmo Vasconcelos; Alberto V. C. Onofre; Máira Milani; Ana Maria Benko-Iseppon; Ana Christina Brasileiro-Vidal

The spurge family (Euphorbiaceae) is one of the most diverse and numerous clades of the angiosperms, including several species of great economic importance as rubber tree (Hevea brasiliensis), cassava (Manihot esculenta), and some oil seed crops, as candlenut (Aleurites moluccana), physic nut (Jatropha curcas) and castor bean (Ricinus communis). Castor bean, the single member of the African genus Ricinus (subfamily Acalyphoideae), presents a wide variation regarding vegetative traits such as leaf and stem colors, number and size of leaf lobes and presence of wax covering the stem (Popova & Moshkin, 1986; Savy-Filho, 2005; Webster, 1994; see Fig. 1). Depending on the environmental conditions, even the vegetative habit may vary, although it is more likely in a shrubby form (Webster, 1994). However, the most conspicuous variability is related to reproductive characters, as color shape and size of seeds, number of flowers per raceme, peduncle length and fruit dehiscence (Figs. 1 and 2) as described by Popova & Moshkin (1986).


Pesquisa Agropecuaria Brasileira | 2011

Variabilidade no teor de ricina em sementes maduras de mamona

Aisy Botega Baldoni; Mayara Holanda de Carvalho; Natália Lima Sousa; Márcia Barreto de Medeiros Nóbrega; Máira Milani; Francisco J. L. Aragão

The objective of this work was to evaluate ricin concentration in castor bean seeds (Ricinus communis) of 20 accessions from the Banco de Germoplasma de Mamoneira of the Embrapa Algodao, Campina Grande, PB, Brazil, using the Enzyme Linked Immunosorbent Assay. Significant differences were observed among accessions. BRA 3271 had the highest ricin concentration in seeds (32.18 ng µg-1), and BRS Paraguacu had the lowest (3.53 ng µg-1). There is the possibility of selecting genotypes with different ricin concentrations, which can be used according on the interest of the breeding programs.


Journal of the Brazilian Chemical Society | 2014

Non-destructive NIR spectrometric cultivar discrimination of castor seeds resulting from breeding programs

Maria Santos; Adriano de Araújo Gomes; Welma T. S. Vilar; Pollyne Borborema Alves de Almeida; Máira Milani; Márcia Barreto de Medeiros Nóbrega; Everaldo Medeiros; Roberto Kawakami Harrop Galvão; Mário César Ugulino de Araújo

This article proposes a near-infrared (NIR) diffuse reflectance spectrometric method for non-destructive discrimination of castor seeds from the two cultivars most commonly employed in Brazilian plantations (BRS Nordestina and BRS Paraguacu). For this purpose, two classification techniques are compared, namely SIMCA (soft independent modelling of class analogies) and PLS-DA (partial least squares discriminant analysis). By applying the SIMCA classifier to a test set comprising 150 seeds, the BRS Nordestina and BRS Paraguacu class models yielded sensitivity/specificity values of 0.91/0.99 and 0.71/1.00, respectively. Better results were obtained by using PLS-DA, which correctly classified all test samples, i.e., yielded sensitivity and specificity values of 1.00. These findings suggest that the proposed method is a promising approach to identify castor seed genotypes, either in seed lots or for breeding purposes, prior to being planted.


Agronomy Journal | 2012

A review on the challenges for increased production of castor.

Liv Soares Severino; Dick L. Auld; Marco Baldanzi; Magno José Duarte Cândido; Grace Q. Chen; William L. Crosby; D. Tan; Xiaohua He; P. Lakshmamma; C. Lavanya; Olga L.T. Machado; Thomas Mielke; Máira Milani; Travis D. Miller; J. B. Morris; Stephen A. Morse; Alejandro A. Navas; Dartanhã J. Soares; Valdinei Sofiatti; Ming L. Wang; Maurício Dutra Zanotto; Helge Zieler


Revista Ciencia Agronomica | 2006

Avaliação da produtividade e teor de óleo de dez genótipos de mamoneira cultivados em altitude inferior a 300 metros

Liv Soares Severino; Máira Milani; Cássia Regina de Almeida Moraes; Tarcísio Marcos de Souza Gondim; Gleibson D. Cardoso


Revista Ciencia Agronomica | 2009

Variabilidade no percentual de tegumento da semente de mamona e sua importância para o melhoramento

Liv Soares Severino; Walker Gomes de Albuquerque; Maria Aline de Oliveira Freire; Jucélia Araújo Gomes; Máira Milani


Revista Brasileira de Biociências | 2008

Características Físico-Químicas de Sementes de Genótipos de Gergelim

Maria de Lourdes Macedo Costa; Tarcísio Marcos de Souza Gondim; Idila Maria da Silva Araujo; Máira Milani; Jonas dos Santos Sousa; Regilane Marques Feitosa


Archive | 2010

Sub-espécies de mamona.

Máira Milani; S. R. Miguel Júnior; R. de L. Sousa

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Ana Maria Benko-Iseppon

Federal University of Pernambuco

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Liv Soares Severino

Empresa Brasileira de Pesquisa Agropecuária

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Márcia Barreto de Medeiros Nóbrega

Empresa Brasileira de Pesquisa Agropecuária

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Santelmo Vasconcelos

Federal University of Pernambuco

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Valdinei Sofiatti

Empresa Brasileira de Pesquisa Agropecuária

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Alberto V. C. Onofre

Federal University of Pernambuco

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Gilvan Barbosa Ferreira

Empresa Brasileira de Pesquisa Agropecuária

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Tarcísio Marcos de Souza Gondim

Empresa Brasileira de Pesquisa Agropecuária

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