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Medici,Leonardo Oliveira; Gaziola,Salete Aparecida; Varisi,Vanderlei Aparecido; Paula,José Antonio Carmezini de; Ferreira,Renato Rodrigues; Azevedo,Ricardo Antunes. |
Six S5 lines of maize, with differences for lysine and oil contents in grains, were used to carry out a complete series of diallelic crosses. The resulting 15 hybrids were grown in a field at two nitrogen levels (10 and 130 kg N ha-1). The general combining ability (GCA) and specific combining ability (SCA) were obtained by using the method 4, model I of Griffing for grain yield, and grain lysine and oil contents. Significant (p < 0.001) interaction was observed between GCA and N levels for grain yield, indicating the selection of different lines for each N level. This interaction was not significant for lysine content, but there were significant effects of GCA for this trait at both N levels (p < 0.1). Significant effects were not observed for GCA... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cereal; Opaque; Nitrogen; Proteins; Near infrared. |
Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000200009 |
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Bagheri,Nikrooz; Ahmadi,Hojjat; Alavipanah,Seyed Kazem; Omid,Mahmoud. |
The objective of this work was to evaluate the use of multispectral remote sensing for site-specific nitrogen fertilizer management. Satellite imagery from the advanced spaceborne thermal emission and reflection radiometer (Aster) was acquired in a 23 ha corn-planted area in Iran. For the collection of field samples, a total of 53 pixels were selected by systematic randomized sampling. The total nitrogen content in corn leaf tissues in these pixels was evaluated. To predict corn canopy nitrogen content, different vegetation indices, such as normalized difference vegetation index (NDVI), soil-adjusted vegetation index (Savi), optimized soil-adjusted vegetation index (Osavi), modified chlorophyll absorption ratio index 2 (MCARI2), and modified triangle... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Aster; Nitrogen content; Near infrared; Multispectral response; Precision agriculture; Vegetation indices. |
Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2013001000011 |
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