Autor:
Cwiek-Kupczynska, H.
Altmann, T.
Arend, D.
Arnaud, Elizabeth
Chen, D.
Cornut, G.
Fiorani, F.
Frohmberg, W.
Junker, A.
Klukas, C.
Lange, M.
Mazurek, C.
Nafissi, A.
Neveu, P.
Oeveren, J. van
Pommier, C.
Poorter, H.
Rocca-Serra, P.
Sansone, S.
Scholz, U.
Schriek, M. van
Seren, U.
Usadel, B.
Weise, S.F.
Kersey, P.
Krajewski, P.
Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the findings can be ...
Enlace original:
https://cgspace.cgiar.org/handle/10568/77807
Cwiek-Kupczynska, H.
,
Altmann, T.
,
Arend, D.
,
Arnaud, Elizabeth
,
Chen, D.
,
Cornut, G.
,
Fiorani, F.
,
Frohmberg, W.
,
Junker, A.
,
Klukas, C.
,
Lange, M.
,
Mazurek, C.
,
Nafissi, A.
,
Neveu, P.
,
Oeveren, J. van
,
Pommier, C.
,
Poorter, H.
,
Rocca-Serra, P.
,
Sansone, S.
,
Scholz, U.
,
Schriek, M. van
,
Seren, U.
,
Usadel, B.
,
Weise, S.F.
,
Kersey, P.
,
Krajewski, P.
,
[Measures for interoperability of phenotypic data: minimum information requirements and formatting]
,
Measures for interoperability of phenotypic data: minimum information requirements and formatting
