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Transcriptome analysis identifies candidate target genes involved in glyphosate-resistance mechanism in lolium multiflorum. Author(s): CECHIN, J.; PIASECKI, C.; BENEMANN, D. P.; KREMER, F. S.; GALLI, V.; MAIA, L. C.; AGOSTINETTO, D.; VARGAS, L. Italian ryegrass (Lolium multiflorum; LOLMU) is one of the most troublesome weeds in temperate regions in the world. This weed species interfere with wheat, corn, rye, and oat, causing significant cro... ... Repository: BDPA Publication year: 2020
In planta RNAi targeting Meloidogyne incognita Minc16803 gene perturbs nematode parasitism and reduces plant susceptibility. Author(s): MOREIRA, V. J. V.; PINHEIRO, D. H.; LOURENCO, I. T.; BASSO, M. F.; LISEI-DE-SA, M. E.; SILVA, M. C. M. da; DANCHIN, E. G. J.; GUIMARAES, P. M.; GRYNBERG, P.; BRASILEIRO, A. C. M.; MACEDO, L. L. P. de; MORGANTE, C. V.; ENGLER, J. de A.; SA, M. F. G. de Meloidogyne incognita is one of the most important plant-parasitic nematodes (PPNs) causing severe crop losses worldwide. Plants have evolved complex defense mechanisms to respond to PPNs attacks. Con... ... Repository: BDPA Publication year: 2024
Targeted capture of Dreb subfamily genes as candidates genes for drought tolerance polymorphism in natural population of Coffea canephora. Author(s): AQUINO, S.; MARRACCINI, P.; MARIAC, C.; BETHUNE, K.; ANDRADE, A. C.; DARRACQ, O.; LEPELLEY, M.; KIWUKA, C.; ANTEN, N. Coffea canephora, (Robusta), provides 33% of worldwide coffee production, 80% and 22% of Ugandan and Brazilian coffee production, respectively. Abiotic stress such as temperature variations or drought... ... Repository: BDPA Publication year: 2017
Peritrophic membrane genes from Diabrotica virgifera virgifera and their potential application as target in pest management in future. Author(s): CARNEIRO, N. P.; WANG, H.; VELEZ, A. M.; SIEGFRIED, B. D. Repository: BDPA Publication year: 2016
Transcriptomic analysis identifies new non-target site glyphosate-resistance genes in Conyza bonariensis. Author(s): PIASECKI, C.; YANG, Y.; BENEMANN, D. P.; KREMER, F. S.; GALLI, V.; MILLWOOD, R. J.; CECHIN, J.; AGOSTINETTO, D.; MAIA, L. C.; VARGAS, L.; STEWART JR, C. N. Repository: BDPA Publication year: 2019
Marker-assisted selection provides arabica coffee with genes from other Coffea species targeting on multiple resistance to rust and coffee berry disease. Author(s): ALKIMIM, E. R.; CAIXETA, E. T.; SOUSA, T. V.; PEREIRA, A. A.; OLIVEIRA, A. C. B. de; ZAMBOLIM, L.; SAKIYAMA, N. S. Selecting superior genotypes is facilitated by marker-assisted selection (MAS), which is particularly suitable for transferring disease resistance alleles because it nullifies environmental effects an... ... Repository: BDPA Publication year: 2017
Targeting DREB subfamily genes AS candidates genes for drought tolerance polyformism in natural population of Coffea canephora. Author(s): AQUINO, S.; MARRACCINI, P.; MARIAC, C.; ANDRADE, A. C.; CROUZILAT, D.; KIWUKA, C.; ANTEN, N.; KOCHKO, A.; PONCET, V. Coffea canephora (Robusta) provides 33% worldwide coffee production, 80% and 22% of Ugandan and Brazilian coffee production, respectively, Abiotic stress such as temperature variations of drought peri... ... Repository: BDPA Publication year: 2017
Leaf-, panel- and latex-expressed sequenced tags from the rubber tree (Hevea brasiliensis) under cold-stressed and suboptimal growing conditions: the development of gene-targeted Functional markers for stress response. Author(s): SILVA, C. C.; MANTELLO, C. C.; CAMPOS, T. de; SOUZA, L. M.; GONÇALVES, P. S.; SOUZA, A. P. Hevea brasiliensis is a native species of the Amazon Basin of South America and the primary source of natural rubber worldwide. Due to the occurrence of South American Leaf Blight disease in this area... ... Repository: BDPA Publication year: 2014
Wheat transcriptome analysis targeting leaf rust resistance-related genes. Author(s): CASASSOLA, A.; BRAMMER, S. P.; CHAVES, M. S.; NHANI JUNIOR, A.; KUSER-FALCÃO, P. R.; ZERLOTINI, A.; STEFANATO, F.; BOYD, L. Repository: BDPA Publication year: 2014
CRISPR-Cpf1 editing and hairy root evaluation of gene targets to obtain low phytate soybean. Author(s): CARRIJO, J.; LAFAYETTE, P.; VIANNA, G. R.; ARAGÃO, F.; PARROTT, W. Repository: BDPA Publication year: 2019

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