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5. Preference mapping of apple varieties in Europe

Author

Bonany, J., Brugger, C., Buehler, A., Carbó, J., Codarin, S., Donati, F., Echeverria, G., Egger, S., Guerra, W., Hilaire, C., Höller, I., Iglesias, I., Jesionkowska, K., Konopacka, D., Kruczyńska, D., Martinelli, A., Petiot, C., Sansavini, S., Stehr, R., and Schoorl, F.

Published
2014
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7. Comprehensive analysis of candidate genes involved in ethylene production and perception during apple ripening: phenotypic dissection and functional profiling

Author

Costa, F., Stella, S., Soglio, V., Gianfranceschi, L., Schouten, H., Weg, W. E. Van de, Guerra, W., Serra, S., Musacchi, S., Sansavini, S., Ramina, Angelo, editor, Chang, Caren, editor, Giovannoni, Jim, editor, Klee, Harry, editor, Perata, Pierdomenico, editor, and Woltering, Ernst, editor

Published
2007
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9. EUFRIN apple rootstock trials: first results across Europe

Author

Kviklys, D., primary, Abukauskas, V., additional, Meland, M., additional, Guerra, W., additional, Höller, I., additional, Dallabetta, N., additional, Pantezzi, T., additional, Carbo, J., additional, Lordan, J., additional, Karlström, A., additional, Fernandez, F., additional, Brüggenwirth, M., additional, Laňar, L., additional, Mészáros, M., additional, Rühmer, T., additional, Perren, S., additional, Cia, S., additional, Codarin, S., additional, Mathieu, V., additional, Bernard, F., additional, Bielicki, P., additional, Manfrini, L., additional, Corelli Grappadelli, L., additional, Gomand, A., additional, and Vercammen, J., additional

Published
2022
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13. Bayesian QTL analyses using pedigreed families of an outcrossing species, with application to fruit firmness in apple

Author

Bink, M. C. A. M., Jansen, J., Madduri, M., Voorrips, R. E., Durel, C.-E., Kouassi, A. B., Laurens, F., Mathis, F., Gessler, C., Gobbin, D., Rezzonico, F., Patocchi, A., Kellerhals, M., Boudichevskaia, A., Dunemann, F., Peil, A., Nowicka, A., Lata, B., Stankiewicz-Kosyl, M., Jeziorek, K., Pitera, E., Soska, A., Tomala, K., Evans, K. M., Fernández-Fernández, F., Guerra, W., Korbin, M., Keller, S., Lewandowski, M., Plocharski, W., Rutkowski, K., Zurawicz, E., Costa, F., Sansavini, S., Tartarini, S., Komjanc, M., Mott, D., Antofie, A., Lateur, M., Rondia, A., Gianfranceschi, L., and van de Weg, W. E.

Published
2014
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14. Apple and peach consumption habits across European countries

Author

Konopacka, D., Jesionkowska, K., Kruczyńska, D., Stehr, R., Schoorl, F., Buehler, A., Egger, S., Codarin, S., Hilaire, C., Höller, I., Guerra, W., Liverani, A., Donati, F., Sansavini, S., Martinelli, A., Petiot, C., Carbó, J., Echeverria, G., Iglesias, I., and Bonany, J.

Published
2010
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16. Ten years of VINQUEST : first insight for breeding new apple cultivars with durable apple scab

Author

Patocchi A., Wehrli A., Dubuis P. -H., Auwerkerken A., Leida C., Cipriani G., Passey T., Staples M., Diderot F., Philion V., Peil A., Laszakovits H., Rühmer T., Boeck K., Baniulis D., Strasser K., Vávra R., Guerra W., Masny S., Ruess F., Le Berre F., Nybom H., Tartarini S., Spornberger A., Pikunova A., Bus V., Patocchi A., Wehrli A., Dubuis P.-H., Auwerkerken A., Leida C., Cipriani G., Passey T., Staples M., Diderot F., Philion V., Peil A., Laszakovits H., Rühmer T., Boeck K., Baniulis D., Strasser K., Vávra R., Guerra W., Masny S., Ruess F., Le Berre F., Nybom H., Tartarini S., Spornberger A., Pikunova A., and Bus V.

Subjects
Venturia inaequalis, apple breeding, apple scab, durable resistance, molecular marker, virulence
Abstract

Apple scab, caused by Venturia inaequalis, is a major fungal disease worldwide. Cultivation of scab-resistant cultivars would reduce the chemical footprint of apple production. However, new apple cultivars carrying durable resistances should be developed to prevent or at least retard slow the breakdown of resistance against races of V. inaequalis. One way to achieve durable resistance is to pyramid multiple scab resistance genes in a cultivar. The choice of the resistance genes to be combined in the pyramids should take into account the frequency of resistance breakdown and the geographical distribution of apple scab isolates able to cause such breakdowns. In order to acquire this information and to make it available to apple breeders, the VINQUEST project (www.vinquest.ch) was initiated in 2009. Ten years after launching this project, 24 partners from 14 countries regularly contribute data. From 2009 to 2018 nearly 9000 data points have been collected. This information has been used to identify the most promising apple scab resistance genes for developing cultivars with durable resistance, which to date are: Rvi5, Rvi11, Rvi12, Rvi14 and Rvi15. As expected, Rvi1, together with Rvi3 and Rvi8, were often overcome, hence have little value for scab resistance breeding. Rvi10 may also belong to this group. On the other hand Rvi2, Rvi4, Rvi6, Rvi7, Rvi9, and Rvi13 are still useful for the breeding, but their use is recommended only in extended pyramids of (≥3) resistance genes.

Published
2020

17. Ten years of VINQUEST: first findings

Author

Patocchi, A., primary, Wehrli, A., additional, Dubuis, P.-H., additional, Auwerkerken, A., additional, Leida, C., additional, Cipriani, G., additional, Passey, T., additional, Staples, M., additional, Didelot, F., additional, Philion, V., additional, Peil, A., additional, Laszakovits, H., additional, Rühmer, T., additional, Boeck, K., additional, Baniulis, D., additional, Strasser, K., additional, Vávra, R., additional, Guerra, W., additional, Masny, S., additional, Ruess, F., additional, Le Berre, F., additional, Nybom, H., additional, Tartarini, S., additional, Spornberger, A., additional, Pikunova, A., additional, and Bus, V., additional

Published
2021
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19. Genome wide association studies and whole transcriptomic survey decipher the fruit texture regulation in apple towards the selection of novel superior accessions

Author

Di Guardo, M., primary, Tadiello, A., additional, Farneti, B., additional, Busatto, N., additional, Delledonne, M., additional, Guerra, W., additional, Letschka, T., additional, Lozano, L., additional, Velasco, R., additional, Van de Weg, E., additional, Bink, M., additional, and Costa, F., additional

Published
2019
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24. Non-destructive assessment of ascorbic acid in apples using near-infrared (NIR) spectroscopy together with partial least squares (PLS) regression

Author

Liu, T., Bassi, Michele, Sadar, N., Lubes, G., Agnolet, S., Stürz, B., Guerra, W., Robatscher, P., Zanella, A., Oberhuber, M., Liu, T., Bassi, Michele, Sadar, N., Lubes, G., Agnolet, S., Stürz, B., Guerra, W., Robatscher, P., Zanella, A., and Oberhuber, M.

Abstract

Apple (Malus × domestica) is one of the most globally widespread cultivated arboreal fruit species, known both for its taste and nutritional values. Apple peels, in particular, constitute a rich source of antioxidants, among them ascorbic acid, one of the main naturally occurring antioxidants and essential nutritive substance, with well-established beneficial effects. However, its content in apple peels may change due to a variety of factors, such as the chosen cultivars. In order to develop a rapid and non-destructive assessment method by means of near-infrared (NIR) spectroscopy combined with multivariate data analysis, we investigated 27 cultivars of apples harvested at the Laimburg Research Centre for Agriculture and Forestry in South Tyrol (Italy) in 2015. L-ascorbic acid content ranges from 2.68 to 88.95 mg 100 g-1 in fresh apple peels. After 10 d of cold storage and 3 d of shelf life, the non-destructive NIR spectroscopy of both, sunny and shady sides of the apples, was carried out using a fiber optic probe with a wavenumber range of 10,000-4,000 cm-1 and resolution of 4 cm-1. Pretreatment techniques of multiplicative signal correction (MSC) and Savitzky-Golay second derivative were used to remove and reduce the noises and other measurement errors in the spectral data. The interval partial least squares (iPLS) regression and synergy interval partial least squares (siPLS) were used to select spectral region, and genetic algorithm partial least squares (GA-PLS) were further used to remove the interferences from the spectra. The selected spectral region was used to develop models. As a comparison, high performance liquid chromatography (HPLC) with diode array detector (DAD) was employed to measure L-ascorbic acid on the same samples of apple peels. The measurements showed excellent consistency. The predictive performance of model showed rpre of 87.55% and RMSEP of 0.095; the results indicated that the method adopted has a high

Published
2018

25. Abstract P2-11-12: Prospective comparison of late toxicity and cosmetic outcome after accelerated partial breast irradiation with conformal external beam radiotherapy or single-entry multi-lumen intracavitary brachytherapy

Author

Stecklein, SR, primary, Babiera, GV, additional, Bedrosian, I, additional, Shaitelman, SF, additional, Ballo, MT, additional, Tereffe, W, additional, Arzu, IY, additional, Perkins, GH, additional, Strom, EA, additional, Reed, VK, additional, Dvorak, T, additional, Smith, BD, additional, Woodward, WA, additional, Hoffman, KE, additional, Schlembach, PJ, additional, Chronowski, GM, additional, Shah, SJ, additional, Kirsner, SM, additional, Nelson, CL, additional, Guerra, W, additional, Dibaj, SS, additional, and Bloom, ES, additional

Published
2018
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26. Abstract P2-11-02: Three-year outcomes with hypofractionated (HF) versus conventionally fractionated (CF) whole breast irradiation (WBI)

Author

Shaitelman, SF, primary, Lei, X, additional, Thompson, A, additional, Schlembach, P, additional, Arzu, I, additional, Bloom, ES, additional, Buchholz, DJ, additional, Chronowski, GM, additional, Dvorak, T, additional, Grade, EJ, additional, Hoffman, KE, additional, Kelly, P, additional, Perkins, GH, additional, Reed, V, additional, Shah, S, additional, Stauder, MC, additional, Strom, EA, additional, Tereffe, W, additional, Woodward, WA, additional, Baumann, D, additional, Amaya, D, additional, Guerra, W, additional, Morrison, M, additional, Hortobagyi, G, additional, Hunt, KK, additional, Buchholz, TA, additional, and Smith, BD, additional

Published
2018
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27. Melo

Author

Agide, Autori: K., Alessandri, S., Barbagiovanni, I., Barbieri, F., Barrel, I., Bartolini, S., Bassi, G., Beccaro, G. L., Bellucci, P., Bergamaschi, M., Bignami, C., Bonantini, A., Borrello, P., Buscaroli, C., Busconi, M., Carboni, M., Concezzi, L., Continella, A., Cristofori, Valerio, D’Acqui, C., D’Hallewin, G., Dal Grande, P., Dalla Ragione, I., Depau, L., Dondini, L., Ducci, E., Ermacora, P., Fabro, L., Famiani, F., Farina, V., Fideghelli, C., Ghetti, D., Gramaccia, M., Gregori, R., Guerra, M., Guerra, W., Guidi, S., Imperatrice, A., LA MALFA, Stefano Giovanni, Mafrica, R., Manganiello, R., Mazzeo, F., Melegari, E., Mellano, G., Mennone, C., Mulas, M., Muleo, R., Murri, G., Neri, Demetrio, Pastore, C., Pavia, Riccardo, Pellegrino, P., Petrillo, F., Re, G., Rega, Pietro, Repetti, F., Sansavini, S., Satta, D., Schiavon, Lucia, Sebastiani, Giulia, Sebastiani, M., Stumpo, C., Tanno, M., Tellarini, S., Testolin, R., Ughini, Virginia, Velasco, R., Venerito, P., Venturelli, M., Venturi, S., Virgili, S., and Youssef, J.

Published
2016

32. Impact of Statin Use on Outcomes in Triple-Negative Breast Cancer

Author

Shaitelman, S.F., primary, Stauder, M.C., additional, Allen, P.K., additional, Reddy, S., additional, Lakoski, S.G., additional, Atkinson, B.J., additional, Moulder, S., additional, Reddy, J., additional, Amaya, D., additional, Guerra, W., additional, Ueno, N.T., additional, Caudle, A.S., additional, Tereffe, W., additional, and Woodward, W.A., additional

Published
2016
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34. SCELTE VARIETALI DEI FRUTTIFERI 2004: MELO

Author

DONATI F., PALARA U., BERRA L., GUERRA W., SANSAVINI, SILVIERO, DONATI F., PALARA U., BERRA L., GUERRA W., and SANSAVINI S.

Subjects
MELO, LISTE VARIETALI
Published
2004

35. GRANDI ASPETTATIVE PER I PROGRAMMI DI MIGLIORAMENTO GENETICO DEL MELO PUBBLICI E PRIVATI OPERATIVI IN ITALIA

Author

SANSAVINI, SILVIERO, TARTARINI, STEFANO, DONATI F., FAEDI W., BERGAMASCHI M., DE SALVADOR R., BERGAMINI A., FONTANARI M., GUERRA W., LEIS M., MARTINELLI A., PELLEGRINO S., BERRA L., MAGNAGO P., KOMJANC M., VELASCO R., SANSAVINI S., DONATI F., TARTARINI S., FAEDI W., BERGAMASCHI M., DE SALVADOR R., BERGAMINI A., FONTANARI M., GUERRA W., LEIS M., MARTINELLI A., PELLEGRINO S., BERRA L., MAGNAGO P., KOMJANC M., and VELASCO R.

Subjects
MELO, MIGLIORAMENTO GENETICO MELO
Published
2004

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