Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Livia Paleari"'
Autor:
Livia Paleari, Ermes Movedi, Fosco M. Vesely, Matteo Tettamanti, Daniele Piva, Roberto Confalonieri
Publikováno v:
Italian Journal of Agronomy, Iss AOP (2022)
Cultivar recommendation is crucial for achieving high and stable yields, and it can be successfully supported by crop models because of their capability of exploring genotype × environment × management interactions. Different modelling approaches h
Externí odkaz:
https://doaj.org/article/d8dc0f79516c4d2593513bd5684151b1
Autor:
Michele Zoli, Livia Paleari, Stefano Cavigiolo, Roberto Tortolina, Roberto Confalonieri, Jacopo Bacenetti
Publikováno v:
Chemistry Proceedings, Vol 10, Iss 1, p 97 (2022)
Italy is the most important European country in terms of rice production. Nevertheless, rice farming in Italy is one of the crop systems with the highest impact on the environment. The main peculiarity of the rice cultivation practice is field water
Externí odkaz:
https://doaj.org/article/4b6df4fe98ff420383aa65982760078b
Autor:
Yubin Yang, Livia Paleari, Lloyd T. Wilson, Roberto Confalonieri, Adriano Z. Astaldi, Mirko Buratti, Zongbu Yan, Eric Christensen, Jing Wang, Stanley Omar P. B. Samonte
Publikováno v:
Agronomy, Vol 11, Iss 12, p 2428 (2021)
The quantity and quality of light captured by a plant’s canopy control many of its growth and development processes. However, light quality-related processes are not very well represented in most traditional and functional–structural crop models,
Externí odkaz:
https://doaj.org/article/d7b2c1a2cdbb4b839fbcee2f25c88ac1
Trait-based model development to support breeding programs. A case study for salt tolerance and rice
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Eco-physiological models are increasingly used to analyze G × E × M interactions to support breeding programs via the design of ideotypes for specific contexts. However, available crop models are only partly suitable for this purpose, sinc
Externí odkaz:
https://doaj.org/article/f6df709332814086b9dc1486d2080bc3
Autor:
Livia Paleari, Fosco M. Vesely, Riccardo A. Ravasi, Ermes Movedi, Sofia Tartarini, Mattia Invernizzi, Roberto Confalonieri
Publikováno v:
Agronomy, Vol 10, Iss 11, p 1733 (2020)
Cultivar recommendation is a key factor in cropping system management. Classical approaches based on comparative multi-environmental trials can hardly explore the agro-climatic and management heterogeneity farmers may have to face. Moreover, they str
Externí odkaz:
https://doaj.org/article/3b5ffb0b1dff43f99e6748c569a9b442
Autor:
Livia Paleari, Ermes Movedi, Fosco M. Vesely, William Thoelke, Sofia Tartarini, Marco Foi, Mirco Boschetti, Francesco Nutini, Roberto Confalonieri
Publikováno v:
Sensors, Vol 19, Iss 4, p 981 (2019)
Accurate nitrogen (N) management is crucial for the economic and environmental sustainability of cropping systems. Different methods have been developed to increase the efficiency of N fertilizations. However, their costs and/or low usability have of
Externí odkaz:
https://doaj.org/article/eec6672c91dd45a39ac8b101ecf0c867
Autor:
Reimund P. Rötter, Michaela A. Dippold, Timothy Beissinger, Klaus Dittert, Susanne Neugart, Johannes Isselstein, Stefan Scholten, Michael Rostas, Stefan Siebert, Andreas von Tiedemann, Hans-Peter Piepho, Gennady Bracho-Mujica, Issaka Abdulai, Livia Paleari, Roberto Confalonieri, Dennis Otieno, Stephen G. Agong, Senthold Asseng
A deeper understanding of the mechanisms underlying the impacts of multiple stresses in crops is direly needed given the climate change-induced risks to achieving food security for a growing world population. Global warming has already led to a highe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52d674660cdc1a937579d389f1e236f0
https://doi.org/10.5194/egusphere-egu23-10013
https://doi.org/10.5194/egusphere-egu23-10013
Autor:
Mattia Invernizzi, Livia Paleari, Yubin Yang, Lloyd T. Wilson, Mirko Buratti, Adriano Zanini Astaldi, Roberto Confalonieri
Publikováno v:
Biosystems Engineering. 215:249-261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2232b54016ed1d8fd17ef69ccbbf1fa2
https://doi.org/10.1016/j.biosystemseng.2022.01.011
https://doi.org/10.1016/j.biosystemseng.2022.01.011
Autor:
Livia Paleari, Tao Li, Yubin Yang, Lloyd T. Wilson, Toshihiro Hasegawa, Kenneth J. Boote, Samuel Buis, Gerrit Hoogenboom, Yujing Gao, Ermes Movedi, Françoise Ruget, Upendra Singh, Claudio O. Stöckle, Liang Tang, Daniel Wallach, Yan Zhu, Roberto Confalonieri
Publikováno v:
Global change biologyREFERENCES. 28(8)
Crop models are powerful tools to support breeding because of their capability to explore genotype × environment×management interactions that can help design promising plant types under climate change. However, relationships between plant traits an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::371e4666dba5d087d46c58ef60161e10
https://pubmed.ncbi.nlm.nih.gov/35043531
https://pubmed.ncbi.nlm.nih.gov/35043531
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports
Scientific Reports
Crop models are increasingly used to identify promising ideotypes for given environmental and management conditions. However, uncertainty must be properly managed to maximize the in vivo realizability of ideotypes. We focused on the impact of adoptin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e32ec3660ea07231a32461a833af6c3
http://link.springer.com/article/10.1038/s41598-019-54810-x
http://link.springer.com/article/10.1038/s41598-019-54810-x