Spatial variability of chlorophyll content in a Tifton 85 bermudagrass pasture in a tropical region
DOI:
https://doi.org/10.13083/reveng.v29i1.12556Keywords:
Precision agriculture , Geostatistics , Pasture , Semivariograms , KrigingAbstract
Precision Agriculture techniques, such as the management of spatial variability of crop attributes, have been studied for several crops. However, few studies have been performed on Tifton 85 bermudagrass. Thus, this work aimed to analyse the spatial variability of chlorophyll content in a Tifton 85 bermudagrass production area, located in Seropédica, Brazil. A georeferenced grid was created to measure the chlorophyll content in two periods using a portable chlorophyll metre. Different geostatistical methods and models were evaluated in order to identify which had the best fit to analyze the spatial dependence of the chlorophyll content.The atribute was mapped based on interpolation by the ordinary kriging method. Therefore, kriging interpolation was used to create isoline maps, which were used to observe the spatial variability of the chlorophyll content. The methodology and maps generated proved to be of great value to the Tifton 85 bermudagrass producers.
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BARBIERI JUNIOR, É.; ROSSIELLO, R. O. P.; SILVA, R. V. M. M.; RIBEIRO, R. C.; MORENZ, M. J. F. A new chlorophyll meter for estimating chlorophyll content in leaves of Tifton 85 grass. Ciência Rural, Santa Maria, v.42, n.12, p.2242-2245, 2012.
BARBIERI JUNIOR, É.; ROSSIELLO, R. O. P.; MORENZ, M. J. F.; RIBEIRO, R. C. Comparison of direct methods of extraction and quantification of chlorophyll content in leaves of Tifton grass 85. Ciência Rural, Santa Maria, v.40, n.3, p.633-636, 2010.
BASEGGIO, M. NEWMAN, Y.; SOLLENBERGER, L. E.; FRAISSE, C.; OBREZA, T. Planting rate and depth effects on Tifton 85 bermudagrass establishment using rhizomes. Crop Science, v.55, n.3, p.1338-1345, 2015.
BERNARDI, A. C. C.; NAIME, J. M.; RESENDE, A. V.; BASSOI, L. H.; INAMASU, R. Y. Precision Agriculture: Results of a New Look. Brasília: Embrapa, 2014.
BERNARDI, A. C. de C.; PEREZ, N. B. Agricultura de precisão em pastagens. In: BERNARDI, A. C. de C.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; INAMASU, R. Y. (Ed.). Agricultura de precisão: resultados de um novo olhar. Brasília, DF: Embrapa, 2014.
BERNARDI, A. C. de C.; BETTIOL, G M.; FERREIRA, R. de P.; SANTOS, K. E. L.; RABELLO, L. M.; INAMASU, R. Y. Spatial variability of soil properties and yield of a grazed alfalfa pasture in Brazil. Precision Agriculture, v. 17, n.6, p. 737-752, 2016.
CÂMARA, G.; MONTEIRO, A. M.; DRUK, S.; CARVALHO, M. S. Análise espacial e geoprocessamento. In: DRUCK, S.; CARVALHO, M. S.; CÂMARA, G.; MONTEIRO, A. M. Análise espacial de dados geográficos. Planaltina, DF: Embrapa Cerrados, 2004.
CAMBARDELLA, C. A.; MOORMAN, T. B.; PARKIN, T. B.; KARLEN, D. L.; NOVAK, J. M.; TURCO, R. F.; KONOPKA, A. E. Field-scale variability of soil proprieties in central Iowa soils. Soil Science Society America Journal, Medison, v.58, p.1240-1248, 1994.
CRESSIE, N. Statistics for spatial data. Terra Nova, v.4, n.5, p.613-617, 1992.
FERRAZ, G. A. S.; SILVA, F. M. D.; CARVALHO, L. C.; ALVES, M. D. C.; FRANCO, B. C. Spatial and temporal variability of phosphorus, potassium and of the yield of a coffee field. Engenharia Agrícola, v.32, n.1, p.140-150, 2012.
FILIPPINI-ALBA, J. M. Modelagem SIG em agricultura de precisão: conceitos, revisão e aplicações. In: BERNARDI, A. C. C.; NAIME, J. M.; RESENDE, A. V.; BASSOI, L. H.; INAMASU, R. Y. (Ed.). Agricultura de precisão: resultados de um novo olhar. São Carlos: Embrapa Instrumentação, 2014.
FONSECA, A. F.; MELFI, A. J.; MONTEIRO, F. A.; MONTES, C. R.; de ALMEIDA, V. V.; HERPIN, U. Treated sewage effluent as a source of water and nitrogen for Tifton 85 bermudagrass. Agricultural Water Management, v.87, n.3, p.328-336, 2006.
GOMES, F. P.; GARCIA, C. H. Statistics applied to agronomic and forest experiments. FEALQ: Piracicaba, 2002.
HANNA, W. W.; ANDERSON, W. F. Development and impact of vegetative propagation in forage and turf bermudagrasses. Agronomy journal, 100 (Supplement_3), S-103, 2008.
INMET - National Institute of Meteorology. Automatic Station Seropédica km 47. Available in: . 27 Set. 2014.
ISAAKS, E.H.; SRIVASTAVA, R. M. An introduction to applied geostatistics. New York: Oxford University, 1989.
JOURNEL, A. G. & HUIJBREGTS, J.C.H. Mining geostatistics. London: Academic Press, 1978.
KÖPPEN, W. Das geographische System der Klimate. In: KÖPPEN, W.; GEIGER, R. (Eds): Handbuch der Klimatologie. Berlin: Gebrüder Bornträger, 1936.
MATHERON, G. Les variables régionalisées et leur estimation. Paris: Masson, 1965.
OLIVEIRA, A. H.; da SILVA, M. A.; SILVA, M. L. N.; AVANZI, J. C.; CURI, N.; LIMA, G. C.; PEREIRA, P. H. Environmental characterization and prediction of soil organic matter contents in the Salto Sub-Basin, Extrema, MG. Semina: Ciências Agrárias, v.33, n.1, 2012.
OLIVEIRA, A. H.; da SILVA, M. A.; SILVA, M. L. N.; AVANZI, J. C.; CURI, N.; LIMA, G. C.; PEREIRA, P. H. Responses of Tifton 85 grass to nitrogen application & 58; soil cover, leaf área index and solar radiation interception. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v.62, n.2, p.429-438, 2010.
PEDREIRA, C. G. S.; SILVA, V. J. D.; GUIMARÃES, M. S.; PEQUENO, D. N. L.; TONATO, F. Fixed versus variable rest period effects on herbage accumulation and canopy structure of grazed’Tifton 85’and’Jiggs’ Bermuda grass. Pesquisa Agropecuária Brasileira, v.53, n.1, p.113-120, 2018.
R DEVELOPMENT Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2014. Available in: <http://www.R-project.org/>. Accessed Jun. 29, 2014.
RIBEIRO JÚNIOR, P. J.; DIGGLE, P. J. 2001. GeoR: a package for geostatisticalanalysis. R-News, v.1, p.14-18, 2001.
SANTOS, K. E. L.; BERNARDI, A. C. C.; BETTIOL, G. M.; CRESTANA, S. GEOSTATISTICS AND GIS IN THE DECISION MAKING OF THE USE OF INPUTS IN A PASTURE. Brazilian Journal of Biosystems Engineering v.11, n.3, p.294-307, 2017.
SILVA, M. M. P. D.; VASQUEZ, H. M.; BRESSAN-SMITH, R.; SILVA, J. F. C. D.; ERBESDOBLER, E. D. A.; ANDRADE JUNIOR, P. S. C. D. Photochemical efficiency of tropical forage grasses submitted to water deficiency. Revista Brasileira de Zootecnia, v.35, n.1, p.67-74, 2006.
SILVA, R. V. M. M.; ROSSIELLO, R. O. P.; MORENZ, M. J. F.; JUNIOR, É. B.; GOMES, R. L. T.; CAMARGO FILHO, S. T. Use of chlorophyll meter in the evaluation of nitrogen and potassium fertilization in Tifton 85 grass. Revista Brasileira de Saúde e Produção Animal, v.12, n.3, 2011.
WARRICK, A. W. Spatial variability of soil physical properties in the field. Application of soil physics, p.319-344, 1980.
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