E-LIB Suche - Ergebnisse für: de Voil, P.

1

Understanding the diversity in yield potential and stabilit..:

Clarke, S.J. ; McLean, J. ; George-Jaeggli, B....
Field Crops Research. 230 (2019) - p. 84-97 , 2019

Link: https://doi.org/10.1016/..

2

Predicting optimum crop designs using crop models and seaso..:

Rodriguez, D. ; de Voil, P. ; Hudson, D....
Scientific Reports. 8 (2018) 1 - p. , 2018

Link: https://doi.org/10.1038/..

3

Interactions between intervention packages, climatic risk, ..:

Rigolot, C. ; de Voil, P. ; Douxchamps, S....
Agricultural Systems. 151 (2017) - p. 217-224 , 2017

Link: https://doi.org/10.1016/..

4

To mulch or to munch? Big modelling of big data:

Rodriguez, D ; de Voil, P ; Rufino, MC..
Agricultural Systems. 153 (2017) - p. 32-42 , 2017

Link: https://doi.org/10.1016/..

5

The vulnerability of Australian rural communities to climat..:

Nelson, R. ; Kokic, P. ; Crimp, S....
Environmental Science & Policy. 13 (2010) 1 - p. 18-27 , 2010

Link: https://doi.org/10.1016/..

6

A simple regional-scale model for forecasting sorghum yield..:

Potgieter, A.B. ; Hammer, G.L. ; Doherty, A..
Agricultural and Forest Meteorology. 132 (2005) 1-2 - p. 143-153 , 2005

Link: https://doi.org/10.1016/..

7

Predicting optimum crop designs using crop models and seaso..:

Rodriguez, D ; de Voil, P ; Hudson, D...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-20628-2. , 2018

Link: https://hal.science/hal-..

8

Predicting optimum crop designs using crop models and seaso..:

Rodriguez, D ; de Voil, P ; Hudson, D...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-20628-2. , 2018

Link: https://hal.science/hal-..

9

Predicting optimum crop designs using crop models and seaso..:

Rodriguez, D ; de Voil, P ; HUDSON, D...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-20628-2. , 2018

Link: https://hal.archives-ouv..

10

Predicting optimum crop designs using crop models and seaso..:

Rodriguez, D ; de Voil, P ; Hudson, D...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797250/. , 2018

Link: http://www.ncbi.nlm.nih...

11

Predicting optimum crop designs using crop models and seaso..:

Rodriguez, D ; de Voil, P ; Hudson, D...
Scientific Reports 1 (8), 1-13. (2018). , 2018

Link: http://prodinra.inra.fr/..

12

Predicting optimum crop designs using crop models and seaso..:

Rodriguez, D ; de Voil, P ; Hudson, D...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-20628-2. , 2018

Link: https://hal.science/hal-..

13

Interactions between intervention packages, climatic risk, ..:

Rigolot, C ; Voil, P. de ; Douxchamps, Sabine...
Rigolot C, de Voil P, Douxchamps S, Prestwidge D, Van Wijk M, Thornton PK, Rodriguez D, Henderson B, Medina D, Herrero M. 2017. Interactions between intervention packages, climatic risk, climate change and food security in mixed crop–livestock systems in Burkina Faso. Agricultural Systems 151:217-224.. , 2017

Link: https://hdl.handle.net/1..

14

To mulch or to munch? Big modelling of big data:

Rodríguez, D ; Voil, P. de ; Rufino, Mariana C..
Rodriguez, D., Voil, P. de, Rufino, M.C., Odendo, M. and Wijk, M.T. van. 2017. To mulch or to munch? Big modelling of big data. Agricultural Systems 153: 32-42. , 2017

Link: https://hdl.handle.net/1..

15

Additive impacts of climate-smart agriculture practices in ..:

Rigolot, Cyrille ; de Voil, P ; Douxchamps, Sabine...
hal-01195408. , 2015

Link: https://hal.science/hal-..