Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1149420
Title: Prediction and identification of miRNAS in Elaeis Guinensis Jacq and analysis of their expression in oil palm plants under salinity drought stress.
Authors: SALGADO, F. F.
VIEIRA, L. R.
SILVA, V, N. B.
LEAO, A. P.
GRYNBERG, P.
COSTA, M. M. do C.
TOGAWA, R. C.
SOUSA, C. A. F. de
SOUZA JUNIOR, M. T.
Affiliation: FERNANDA FERREIRA SALGADO, UNIVERSIDADE FEDERAL DE LAVRAS; LETÍCIA RIOS VIEIRA, UNIVERSIDADE FEDERAL DE LAVRAS; VIVIANNY NAYSE BELO SILVA, UNIVERSIDADE FEDERAL DE LAVRAS; ANDRE PEREIRA LEAO, CNPAE; PRISCILA GRYNBERG, Cenargen; MARCOS MOTA DO CARMO COSTA, Cenargen; ROBERTO COITI TOGAWA, Cenargen; CARLOS ANTONIO FERREIRA DE SOUSA, CPAMN; MANOEL TEIXEIRA SOUZA JUNIOR, CNPAE.
Date Issued: 2022
Citation: In: BRAZILIAN CONGRESS OF GENETICS, 67., 2022, Natal, RN. Porto Alegre: Sociedade Brasileira de Genética, 2022.
Pages: p. 275
Description: Oil palm (Elaeis guineensis Jacq.) is an oilseed crop of great economic importance. The oil palm industry has a large-scale production worldwide and uses high efficient extraction and refining processes to obtain palm oil and palm kernel oil. In Brazil, currently, there is an extensive area suitable for oil palm planting outside the Amazon rainforest; however, these areas go through long periods of water scarcity and demand artificial irrigation to be sustainable. One-quarter of the irrigated area in agriculture has a problem with salinity stress.
NAL Thesaurus: Abiotic stress
Transcription factors
Non-coding RNA
Oil palm products
Language: Ingles
Type of Material: Artigo em anais e proceedings
Access: openAccess
Appears in Collections:Artigo em anais de congresso (CNPAE)

Files in This Item:
File SizeFormat 
Prediction-and-identification.pdf386,85 kBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace