Chiara Broccanello
Chiara Broccanello
Email verificata su studenti.unipd.it
TitoloCitata daAnno
High-throughput RAD-SNP genotyping for characterization of sugar beet genotypes
P Stevanato, C Broccanello, F Biscarini, M Del Corvo, G Sablok, L Panella, ...
Plant molecular biology reporter 32 (3), 691-696, 2014
172014
Identification and validation of a SNP marker linked to the gene HsBvm-1 for nematode resistance in sugar beet
P Stevanato, D Trebbi, L Panella, K Richardson, C Broccanello, L Pakish, ...
Plant Molecular Biology Reporter 33 (3), 474-479, 2015
162015
Genome-enabled predictions for binomial traits in sugar beet populations
F Biscarini, P Stevanato, C Broccanello, A Stella, M Saccomani
BMC genetics 15 (1), 87, 2014
132014
Molecular genotyping of “Rizor” and “Holly” rhizomania resistances in sugar beet
P Stevanato, M De Biaggi, C Broccanello, E Biancardi, M Saccomani
Euphytica 206 (2), 427-431, 2015
102015
Identification of SNP markers linked to the Rz1 gene in sugar beet
P Stevanato, D Trebbi, P Norouzi, C Broccanello, M Saccomani
International Sugar Journal 114 (1366), 715, 2012
82012
Developing a parsimonius predictor for binary traits in sugar beet (Beta vulgaris)
F Biscarini, S Marini, P Stevanato, C Broccanello, R Bellazzi, N Nazzicari
Molecular breeding 35 (1), 10, 2015
72015
Root traits and competitiveness against weeds in sugar beet
P Stevanato, D Trebbi, M Bertaggia, M Colombo, C Broccanello, ...
International Sugar Journal 113 (1351), 497, 2011
62011
Root morphological and molecular responses induced by microalgae extracts in sugar beet (Beta vulgaris L.)
V Barone, A Baglieri, P Stevanato, C Broccanello, G Bertoldo, ...
Journal of Applied Phycology 30 (2), 1061-1071, 2018
52018
Comparison of three PCR-based assays for SNP genotyping in plants
C Broccanello, C Chiodi, A Funk, JM McGrath, L Panella, P Stevanato
Plant methods 14 (1), 28, 2018
42018
A new polymorphism on chromosome 6 associated with bolting tendency in sugar beet
C Broccanello, P Stevanato, F Biscarini, D Cantu, M Saccomani
BMC genetics 16 (1), 142, 2015
42015
“Noisy beets”: impact of phenotyping errors on genomic predictions for binary traits in Beta vulgaris
F Biscarini, N Nazzicari, C Broccanello, P Stevanato, S Marini
Plant methods 12 (1), 36, 2016
32016
Biostimulant activity of humic-like substances from agro-industrial waste on Chlorella vulgaris and Scenedesmus quadricauda
I Puglisi, V Barone, S Sidella, M Coppa, C Broccanello, M Gennari, ...
European Journal of Phycology 53 (3), 433-442, 2018
22018
Molecular markers for improving control of soil-borne pathogen Fusarium oxysporum in sugar beet
C De Lucchi, P Stevanato, L Hanson, M McGrath, L Panella, M De Biaggi, ...
Euphytica 213 (3), 71, 2017
22017
Innovative approaches to evaluate sugar beet responses to changes in sulfate availability
P Stevanato, C Broccanello, V Moliterni, G Mandolino, V Barone, L Lucini, ...
Frontiers in plant science 9, 14, 2018
12018
Targeted next-generation sequencing identification of mutations in disease resistance gene analogs (RGAs) in wild and cultivated beets
P Stevanato, C Broccanello, L Pajola, F Biscarini, C Richards, L Panella, ...
Genes 8 (10), 264, 2017
12017
A SNP mutation affects rhizomania-virus content of sugar beets grown on resistance-breaking soils
C Broccanello, JM McGrath, L Panella, K Richardson, A Funk, C Chiodi, ...
Euphytica 214 (1), 14, 2018
2018
Development and validation of a novel SNP panel for the genetic characterization of Italian chicken breeds by next-generation sequencing discovery and array genotyping
E Viale, E Zanetti, D Ízdemir, C Broccanello, A Dalmasso, M De Marchi, ...
Poultry science 96 (11), 3858-3866, 2017
2017
Biotechnology applications in sugar beet breeding
C Broccanello
2016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–18