Livia Paleari

Livia Paleari
Livia Paleari works on model-based studies aimed at identifying ideotypes improved for their resistance/tolerance to diseases (fungal pathogens) and extreme environmental conditions (temperature, lodging, drought and salinity). In this context, she developed integrated approaches to support breeding programs based on the in silico introgression of traits from traditional resistant/tolerant varieties in modern genotypes.

2016 - Environmental Modelling & Software, 81, 165-173
Uncertainty in crop model predictions: What is the role of users?
Confalonieri, R., Orlando, F., Paleari, L., Stella, T., Gilardelli, C., Movedi, E., Pagani, V., Cappelli, G., ... , Acutis, M.

2015 - Biomass & Bioenergy, 80, 85-93
Are advantages from partial replacement of corn with second generation energy crops undermined by climate change? A case study for giant reed in Northern Italy
Cappelli, G., Yamaç, S.S., Stella, T., Francone, C., Paleari, L., Negri, M., Confalonieri, R.

2015 - Climatic Change, 132, 661-675
District specific, in silico evaluation of rice ideotypes improved for resistance/tolerance traits to biotic and abiotic stressors under climate change scenarios.
Paleari, L., Cappelli, G., Bregaglio, S., Acutis, M., Donatelli, M., Sacchi, G.A., Lupotto, E., Boschetti, M., Manfron, G., Confalonieri, R.

2015 - Biosystems Engineering, 135, 21-30
Improving in vivo plant nitrogen content estimates from digital images: trueness and precision of a new approach as compared to other methods and commercial devices
Confalonieri, R., Paleari, L., Movedi, E., Pagani, V., Orlando, F., Foi, M., Barbieri, M., Pesenti, M., Cairati, O., La Sala, M.S., Besana, R., Minoli, S., Bellocchio, E., Croci, S., Mocchi, S., Lampugnani, F., Lubatti, A., Quarteroni, A., De Min, D., Signorelli, A., Ferri, A., Ruggeri, G., Locatelli, S., Bertoglio, M., Dominoni, P., Bocchi, S., Sacchi, G.A., Acutis, M.

2015 - Applied Vegetation Science, in press
Estimating leaf area index in tree species using the PocketLAI smart app
Orlando, F., Movedi, E., Paleari, L., Gilardelli, C., Foi, M., Dell'Oro, M., Confalonieri, R.

2015 - Agronomy for Sustainable Development, 35, 157-167
New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco.
Bregaglio, S., Frasso, N., Pagani, V., Stella, T., Francone, C., Cappelli, G., Acutis, M., Balaghi, R., Ouabbou, H., Paleari, L., Confalonieri, R.

2014 - Field Crops Research, 161, 128-136
Any chance to evaluate in vivo field methods using standard protocols?
Confalonieri, R., Francone, C., Chiodini, M.E., Cantaluppi, E., Caravati, L., Colombi, V., Fantini, D., Ghiglieno, I., Gilardelli, C., Guffanti, E., Inversini, M., Paleari, L., Pochettino, G.G., Bocchi, S., Bregaglio, S., Cappelli, G., Dominoni, P., Frasso, N., Stella, T., Acutis, M.

2013 - Computers and Electronics in Agriculture, 96, 67-74
Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods.
Confalonieri, R., Foi, M., Casa, R., Aquaro, S., Tona, E., Peterle, M., Boldini, A., De Carli, G., Ferrari, A., Finotto, G., Guarneri, T., Manzoni, V., Movedi, E., Nisoli, A., Paleari, L., Radici, I., Suardi, M., Veronesi, D., Bregaglio, S., Cappelli, G., Chiodini, M.E., Dominoni, P., Francone, C., Frasso, N., Stella, T., Acutis, M.

ISIde is an application for district-specific in silico ideotyping studies
WARM 2 is the new Cassandra environment to run rice simulations