Selecting statistical models to study the relationship between soybean yield and soil physical properties;Seleção de modelos estatísticos para a relação entre produtividade da soja e atributos físicos do solo

Revista Brasileira de Ciencia do Solo

Volumn 35, Issue 1, 2011, Pages 97-104

  de Oliveira, Marcio Paulo ^a   Tavares, Maria Hermínia Ferreira ^a   Uribe Opazo, Miguel Angel ^a   Timm, Luis Carlos ^b  

^a UNIVERSIDADE ESTADUAL DO OESTE DO PARANÁ   (Brazil)

^b FEDERAL UNIVERSITY OF PELOTAS   (Brazil)

Author keywords

Autocorrelation; Cross correlation; Linear regression; Soil and plant properties; State space model

Indexed keywords

GLYCINE MAX;

EID: 79955762018     PISSN: 01000683     EISSN: 18069657     Source Type: Journal    
DOI: 10.1590/s0100-06832011000100009     Document Type: Article

References (17)

1. AKAIKE, H. Information theory and extension of the maximum likelihood principle. J. Royal Stat. Soc., 51:469-483, 1973.
2. BEUTLER, A.N. & CENTURION, J.F. Efeito do conteúdo de água e da compactação do solo na produção de soja. Pesq. Agropec. Bras., 38:849-856, 2003.
3. COELHO, A.M.; DORAN, J.W. & SCHEPERS, J.S. Irrigated corn yield as related to spatial variability of selected soil properties. In: ROBERT, P.C.; RUST, R.H. & LARSON, W.E., eds. In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 4., St Paul, 1998. Proceedings. St Paul, ASA-CSSA-SSSA, 1998. p.441-452.
4. DAVIS, J.C. Statistics and data analysis in geology. 2.ed. New York, John Wiley & Sons, 1986. 646p.
5. Dourado-Neto, D.; Timm, L.C.; Oliveira, J.C.M.; Reichardt, K.; Bacchi, O.O.S.; Tominaga, T.T. & Cassaro, F.A.M. State space approach for the analysis of soil water content and temperature in a sugarcane crop. Sci. Agric., 56:1215-1221, 1999.
6. EMPRESA BRASILEIRA DE PESQUISA AGROPECUÁRIA - EMBRAPA. Sistema brasileiro de classificação de solos. Brasília, Embrapa-SPI; Rio de Janeiro, Embrapa-Solos, 2006. 306p.
7. HUI, S.; WENDROTH, O.; PARLANGE, M.B. & NIELSEN, D.R. Soil variability: Infiltration relationships of agroecosytems. J. Balkan Ecol., 1:21-40, 1998.
8. MORETTIN, P.A. & TOLOI, C.M.C. Análise de series temporais. São Paulo, Edgard Blücher, 2004. 535p.
9. NIELSEN, D.R.; WENDROTH, O. & PIERCE, F.J. Emerging concepts for solving the enigma of precision farm research. In: ROBERT, P.C.; RUST, R.H. & LARSON, W.E., eds. In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 4., St Paul, 1998. p.303-318.
10. NIELSEN, D.R. & WENDROTH, O. Spatial and temporal statistics - Sampling field soils and their vegetation. Reiskirchen, Catena Verlag, 2003. 63p.
11. REICHARDT, K. & TIMM, L.C. Solo, planta e atmosfera: Conceitos, processos e aplicações. Barueri, Manole, 2008. 478p.
12. SHUAI, X. & YOST, R.S. State-space modeling to simplify soil phosphorus fractionation. Soil Sci. Soc. Am. J., 68:1437-1444, 2004.
13. SHUMWAY, R.H. Applied statistical time series analyses. Englewood Cliffs, Prentice Hall, 1988. 379p.
14. SHUMWAY, R.H. & STOFFER, D.S. Time series analysis and its applications. New York, Springer, 2000. 549p.
15. STEVENSON, F.C.; KNIGHT, J.D.; WENDROTH, O.; van KESSEL, C. & NIELSEN, D.R. A comparison of two methods to predict the landscape-scale variation of crop yield. Soil Till. Res., 58:163-181, 2001.
16. TIMM, L.C.; REICHARDT, K.; OLIVEIRA, J.C.M.; CASSARO, F.A.M.; TOMINAGA, T.T.; BACCHI, O.O.S.; DOURADONETO, D. & NIELSEN, D.R. State-space approach to evaluate the relation between soil physical and chemical properties. R. Bras. Ci. Solo, 28:49-58, 2004.
17. TIMM, L.C.; REICHARDT, K.; OLIVEIRA J.C.M.; CASSARO F.A.M.; TOMINAGA T.T.; BACCHI O.O.S. & DOURADONETO, D. Sugarcane production evaluated by the statespace approach. J. Hydrol., 272:226-237, 2003.