01331naa a2200457 a 450000100080000000500110000800800410001910000220006024501800008226000090026230000100027165000220028165000130030365000290031665000130034565000170035865000200037565000100039565000140040565000160041965000210043565000090045665300290046565300190049465300220051365300230053565300310055865300200058965300270060970000170063670000220065370000250067570000140070070000120071470000210072670000250074770000220077270000170079470000210081177300410083221315052021-05-03       2021    bl uuuu     u00u1 u    #d1 aCRUSIOL, L. G. T.  aYield prediction in soybean crop grown under different levels of water availability using reflectance spectroscopy and partial least squares regression.h[electronic resource]  c2021  a20 p.  aDrought tolerance  aGenotype  aReflectance spectroscopy  aSoybeans  aWater stress  aColeta de Dados  aFolha  aGenótipo  aGlycine Max  aRecurso Hídrico  aSoja  aDados baseados em folhas  aDrought stress  aEstresse hídrico  aGenótipos de soja  aHyperspec-tral reflectance  aLeaf-based data  aReflexo hiperespectral1 aNANNI, M. R.1 aFURLANETTO, R. H.1 aSIBALDELLI, R. N. R.1 aCEZAR, E.1 aSUN, L.1 aFOLONI, J. S. S.1 aMERTZ-HENNING, L. M.1 aNEPOMUCENO, A. L.1 aNEUMAIER, N.1 aFARIAS, J. R. B.  tRemote Sensinggv. 13, n. 977, 2021.