Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Karine, Chenu"'
Autor:
Renan Le Roux, Carina Furusho-Percot, Jean-Charles Deswarte, Marie-Odile Bancal, Karine Chenu, Nathalie de Noblet-Ducoudré, Iñaki García de Cortázar-Atauri, Alexis Durand, Burak Bulut, Olivier Maury, Jérémie Décome, Marie Launay
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Climate change threatens food security by affecting the productivity of major cereal crops. To date, agroclimatic risk projections through indicators have focused on expected hazards exposure during the crop’s current vulnerable seasons, w
Externí odkaz:
https://doaj.org/article/687a79f68ee6498daa481974b3e1db51
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
In crops like wheat, terminal drought is one of the principal stress factors limiting productivity in rain-fed systems. However, little is known about root development after heading, when water uptake can be critical to wheat crops. The impact of wat
Externí odkaz:
https://doaj.org/article/cac1873a77694f44a2079e896444b66f
Autor:
Yu Tian, Fangyong Wang, Xiaojuan Shi, Feng Shi, Nannan Li, Junhong Li, Karine Chenu, Honghai Luo, Guozheng Yang
Publikováno v:
Annals of Agricultural Sciences, Vol 68, Iss 1, Pp 75-86 (2023)
Cotton (Gossypium hirsutum L.) production efficiency is constrained by issues such as a low nitrogen (N) utilization rate (30–35 %) and high N application rate (300–350 kg ha−1) in particular arid climates, such as Xinjiang, the largest irrigat
Externí odkaz:
https://doaj.org/article/8ba311fc1c7444ce951b162858bc7b05
Publikováno v:
Plant Phenomics, Vol 5 (2023)
It is valuable to develop a generic model that can accurately estimate the leaf area index (LAI) of wheat from unmanned aerial vehicle-based multispectral data for diverse soil backgrounds without any ground calibration. To achieve this objective, 2
Externí odkaz:
https://doaj.org/article/8accd6a9f1f941878fc0308a2a270c33
Autor:
Rafael Tassinari Resende, Karine Chenu, Soren K. Rasmussen, Alexandre Bryan Heinemann, Roberto Fritsche-Neto
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/6442e6425c04427aa0216bfd49008a6b
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
High-throughput phenotyping has become the frontier to accelerate breeding through linking genetics to crop growth estimation, which requires accurate estimation of leaf area index (LAI). This study developed a hybrid method to train the random fores
Externí odkaz:
https://doaj.org/article/a34083f5275f4bd186966640807d6d69
Autor:
Yuval Sadeh, Xuan Zhu, David Dunkerley, Jeffrey P. Walker, Yuxi Zhang, Offer Rozenstein, V.S. Manivasagam, Karine Chenu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 96, Iss , Pp 102260- (2021)
The dynamics of Leaf Area Index (LAI) from space is key to identify crop types and their phenology over large areas, and to characterize spatial variations within growers’ fields. However, for years remote-sensing applications have been constrained
Externí odkaz:
https://doaj.org/article/eee093ace722404496b276d520b1bd6f
Autor:
Brian Collins, Karine Chenu
Publikováno v:
Climate Risk Management, Vol 32, Iss , Pp 100300- (2021)
With global food demand predicted to grow by 50–80% by 2050, timely strategies are required to best adapt to the projected changes in agriculture. In this study, we illustrated how adaptation strategies not requiring additional inputs (sowing date
Externí odkaz:
https://doaj.org/article/ad3b5c4ecbf54857bf276854478aa378
Autor:
Wagdi Ghaleb, Lina Q. Ahmed, Marie-Hélène Wagner, Annie Eprinchard-Ciesla, Wendy E. Olivares-Rodríguez, Cédric Perrot, Karine Chenu, Mark Norton, Abraham J. Escobar-Gutiérrez
Publikováno v:
Agronomy, Vol 12, Iss 6, p 1291 (2022)
Temperature is one the most influential environmental factors for the germination and establishment of grass species. The specific objective of this study was to determine the effects of low constant temperature on the time needed to express the full
Externí odkaz:
https://doaj.org/article/035258d46c6e476a828bb9890759a864
From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time
Autor:
Daniela Bustos-Korts, Marcos Malosetti, Karine Chenu, Scott Chapman, Martin P. Boer, Bangyou Zheng, Fred A. van Eeuwijk
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Genotype by environment interaction (G×E) for the target trait, e.g. yield, is an emerging property of agricultural systems and results from the interplay between a hierarchy of secondary traits involving the capture and allocation of environmental
Externí odkaz:
https://doaj.org/article/4286ca24e1924360a19f0952433aedcb