Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Sotirios V Archontoulis"'
Autor:
Ke Liu, Matthew Tom Harrison, Sotirios V Archontoulis, Neil Huth, Rui Yang, De Li Liu, Haoliang Yan, Holger Meinke, Isaiah Huber, Puyu Feng, Ahmed Ibrahim, Yunbo Zhang, Xiaohai Tian, Meixue Zhou
Publikováno v:
Environmental Research Letters, Vol 16, Iss 9, p 094017 (2021)
Climate change will drive increased frequencies of extreme climatic events. Despite this, there is little scholarly information on the extent to which waterlogging caused by extreme rainfall events will impact on crop physiological behaviour. To impr
Externí odkaz:
https://doaj.org/article/88f080aafb224b409a92a4be8f12fe6c
Publikováno v:
Environmental Research Letters, Vol 14, Iss 12, p 124026 (2019)
Pre-growing season prediction of crop production outcomes such as grain yields and nitrogen (N) losses can provide insights to farmers and agronomists to make decisions. Simulation crop models can assist in scenario planning, but their use is limited
Externí odkaz:
https://doaj.org/article/a4ceb40c32754846b2aaf0d6ffe3d057
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Crop yield prediction is crucial for global food security yet notoriously challenging due to multitudinous factors that jointly determine the yield, including genotype, environment, management, and their complex interactions. Integrating the
Externí odkaz:
https://doaj.org/article/d04f2b76f8b248cd9faf8b0a344c5624
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Crop yield prediction is of great importance for decision making, yet it remains an ongoing scientific challenge. Interactions among different genetic, environmental, and management factors and uncertainty in input values are making crop yield predic
Externí odkaz:
https://doaj.org/article/d21839fd27114e5f93c9985a564de3d4
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract The performance of crop models in simulating various aspects of the cropping system is sensitive to parameter calibration. Parameter estimation is challenging, especially for time-dependent parameters such as cultivar parameters with 2–3 y
Externí odkaz:
https://doaj.org/article/8c3be05b37e54653af416d31c2667d44
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract This study investigates whether coupling crop modeling and machine learning (ML) improves corn yield predictions in the US Corn Belt. The main objectives are to explore whether a hybrid approach (crop modeling + ML) would result in better pr
Externí odkaz:
https://doaj.org/article/33f06b500da54359bd032ea96d19cf9b
Autor:
Elvis F. Elli, Ignacio A. Ciampitti, Michael J. Castellano, Larry C. Purcell, Seth Naeve, Patricio Grassini, Nicolas C. La Menza, Luiz Moro Rosso, André F. de Borja Reis, Péter Kovács, Sotirios V. Archontoulis
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Limited knowledge about how nitrogen (N) dynamics are affected by climate change, weather variability, and crop management is a major barrier to improving the productivity and environmental performance of soybean-based cropping systems. To fill this
Externí odkaz:
https://doaj.org/article/2c9724303f6049f6af63952dfb481787
Autor:
Caio L. dos Santos, Lori J. Abendroth, Jeffrey A. Coulter, Emerson D. Nafziger, Andy Suyker, Jianming Yu, Patrick S. Schnable, Sotirios V. Archontoulis
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
The relationship between collared leaf number and growing degree days (GDD) is crucial for predicting maize phenology. Biophysical crop models convert GDD accumulation to leaf numbers by using a constant parameter termed phyllochron (°C-day leaf−1
Externí odkaz:
https://doaj.org/article/d39419ee504a4cbf95fbaed95bc16110
Autor:
German Mandrini, Sotirios V. Archontoulis, Cameron M. Pittelkow, Taro Mieno, Nicolas F. Martin
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107753- (2022)
Nitrogen (N) fertilizer recommendations for corn (Zea mays L.) in the US Midwest have been a puzzle for several decades, without agreement among stakeholders for which methodology is the best to balance environmental and economic outcomes. Part of th
Externí odkaz:
https://doaj.org/article/678b8885b59346fc87ab63c33d15fe88
Autor:
Ignacio A. Ciampitti, André Froes de Borja Reis, S. Carolina Córdova, Michael J. Castellano, Sotirios V. Archontoulis, Adrian A. Correndo, Luiz Felipe Antunes De Almeida, Luiz H. Moro Rosso
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Biological nitrogen (N) fixation is the most relevant process in soybeans (Glycine max L.) to satisfy plant N demand and sustain seed protein formation. Past studies describing N fixation for field-grown soybeans mainly focused on a single point time
Externí odkaz:
https://doaj.org/article/f9da3517e4964765b1fd51ec70e67b82