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| Fonseca,Arley José; Freitas,Ana Flávia de; Carvalho,Gladyston Rodrigues; Carneiro,Marco Aurélio Carbone; Vilela,Diego Júnior Martins; Fassio,Larissa de Oliveira. |
| ABSTRACT The benefits of mycorrhization occur with the growth of hyphae in colonized roots by promoting an increase of the contact surface which improves the initial growth due to a better absorption of water and nutrients. The objective was to evaluate the effect of arbuscular mycorrhizal fungus Rhizophagus clarus inoculation over the initial development and nutritional response of six genotypes of Coffea arabica L. Six genotypes of Coffea arabica L. were used (MGS Aranas, H29-1-8-5, Red Catuai IAC 144, IPR 100, Catigua MG2, Paraíso H 419-1) and with arbuscular mycorrhizal fungus - AMF: Rhizophagus clarus and without the application of the fungus. For the production of coffee seedlings, seeds were placed to germinate in plastic trays with sterile sand.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Coffee; Mineral nutrition; Progeny; Fungal inoculation; Symbiosis.. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542019000100223 |
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| Malta,Marcelo Ribeiro; Cirillo,Marcelo Ângelo; Fassio,Larissa de Oliveira; Barcelos,Adauto Ferreira; Lima,Priscilla Magalhães de. |
| ABSTRACT The aim of this work was to propose a mathematical model to determine the best combination of the by-products of coffee processing in the production of silage. To this end, 13 treatments were evaluated, resulting from the combination of wet coffee husks (WCH) and dried coffee husks (DCH), both with and without the use of molasses (M) and with or without the use of the inoculant Lactobacillus plantarum (I). From these components, various mixtures were proposed and evaluated, using the technique of simultaneous optimisation of multiple response variables. Silages with the best characteristics were obtained from the use of 76.40% WCH, 18.77% DCH, 4.83% of M and 0.0001% I. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Animal feed; Chemical composition; Mixture modelling; Component optimisation. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000200389 |
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