Spatial variability of physical attributes of a Oxisol related to garlic productivity
DOI:
https://doi.org/10.18011/bioeng.2023.v17.1108Keywords:
Precision agriculture, Geostatistics, Plant attribute, Plant production, Allium sativum LAbstract
Garlic is a product with high demand in Brazil and worldwide, being highly valued in the cuisine of several countries and is a culture with high added economic value. In 2018, this work was carried out in the irrigation and drainage area of the Federal University of Viçosa, in Viçosa, Minas Gerais State, Brazil, in a Oxisol. The objective was to characterize the structure and magnitude of the spatial distribution of physical attributes of a Oxisol, perform the mapping, and evaluate the spatial correlation between garlic bulb yield, lateral shoot growing and soil characteristics. The attributes studied were garlic bulb yield, lateral shoot growing, soil moisture on a dry basis, soil moisture on a humid basis, volumetric soil moisture, particle density, free soil porosity, sampled in a 90-georeferenced grid. Data analysis using statistical techniques and geostatistics made it possible to verify that the garlic yield and other soil physical attributes studied showed spatial dependence. There was an emphasis on the spatial correlation between garlic bulb yield and free-soil porosity. The lateral shoot growing of garlic has a direct and positive relationship with free soil porosity, soil moisture on a dry basis and soil moisture on a humid basis.
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Barbieri, R. S., Montanari, R., Teixeira Filho, M., Panosso, A. R., & Lima, C. G. (2017). Variabilidade de atributos físicos e químicos para recuperação de um Argissolo Vermelho sob pastagem degradada no Cerrado. Revista Espacios, 38, 1-18. http://www.revistaespacios.com/a17v38n32/a17v38n32p05.pdf.
Bhering, L. L. (2017). Rbio: A tool for biometric and statistical analysis using the R platform. Crop Breeding and Applied Biotechnology, 17, 187-190. https://doi.org/10.1590/1984-70332017v17n2s29. DOI: https://doi.org/10.1590/1984-70332017v17n2s29
Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B., Karlen, D. L., Turco, R. F., & Konopka, A. E. (1994). Field‐scale variability of soil properties in central Iowa soils. Soil science society of America journal, 58(5), 1501-1511. https://doi.org/10.2136/sssaj1994.03615995005800050033x. DOI: https://doi.org/10.2136/sssaj1994.03615995005800050033x
da Silva, M. V.; de Almeida, G. L. P.; Montenegro, A. A. A.; Pandorfi, H.; Batista, P. H. D.; da Silva, R. A. B.; & Cavalcanti, S. D. L. (2020a). Spatial variability of soil physical attributes and forage palm production in Pernambuco semiarid. Brazilian Journal of Development. Brazilian Journal of Development, 6(2), 7631-7643. https://doi.org/10.34117/bjdv6n2-169. DOI: https://doi.org/10.34117/bjdv6n2-169
da Silva, L. I.; Campos, M. C. C.; da Cunha, J. M.; Filho, E. G. B.; da Silva, G. A.; da Silva, D. M. P.; & Fraga, V. S. (2020b). Variabilidade espacial de atributos físicos de terra preta de índio sob pastagem (Brachiaria brizanta sp. L.) em Novo Aripuanã, Amazonas, Brasil. Research, Society and Development, 9(9). https://doi.org/10.33448/rsd-v9i9.6794. DOI: https://doi.org/10.33448/rsd-v9i9.6794
dos Santos, M. L.; Compagnon, A. M.; Neto, A. M. P.; Arriel, F. H.; & Cintra, P. H. M. (2020). Spatial variability of physical soil in first cane sugar crop year. Brazilian Journal of Development, 6(5), 27667 – 27682. https://doi.org/10.34117/bjdv6n5-278. DOI: https://doi.org/10.34117/bjdv6n5-278
dos Santos, H. G.; Jacomine, P. K. T.; Dos Anjos, L. H. C.; De Oliveira, V. A.; Lumbreras, J. F.; Coelho, M. R.; & Cunha, T. J. F. (2018). Sistema brasileiro de classificação de solos. Brasília, DF: Embrapa, 2018. ISBN 978-85-7035-817-2.
IBGE – Instituto Brasileiro de Geografia e Estatística (2018). Levantamento Sistemático da Produção Agrícola- LSPA (novembro 2018). Brasília. https://www.ibge.gov.br/estatisticas-novoportal/economicas/agricultura.
Köppen, W., & Geiger, R. (Eds.). (1936). Handbuch der klimatologie (Vol. 1). Berlin: Gebrüder Borntraeger. 44p. https://upload.wikimedia.org/wikipedia/commons/3/3c/Das_geographische_System_der_Klimate_(1936).pdf
Macêdo, F. S., Souza, R. J. D., & Pereira, G. M. (2006). Controle de superbrotamento e produtividade de alho vernalizado sob estresse hídrico. Pesquisa Agropecuária Brasileira, 41, 629-635. http://dx.doi.org/10.1590/S0100-204X2006000400012. DOI: https://doi.org/10.1590/S0100-204X2006000400012
Montanari, R., Panachuki, E., Lovera, L. H., Correa, A. R., Oliveira, I. S., Queiroz, H. A., & Tomaz, P. K. (2015). Variabilidade espacial da produtividade de sorgo e de atributos do solo na região do ecótono Cerrado-Pantanal, MS. Revista Brasileira de Ciência do Solo, 39, 385-396. http://dx.doi.org/10.1590/01000683rbcs20140215. DOI: https://doi.org/10.1590/01000683rbcs20140215
Oliveira, J. T., Carvalho, M. D. P., Roque, C. G., Baio, F. H. R., Kamimura, K. M., Ribeiro, I. D. S., & Teodoro, P. E. (2018). Space variability of phenological indicators of common bean crop. Biosci. j. (Online), 34(2) 341-350. https://doi.org/10.14393/BJ-v34n2a2018-39659. DOI: https://doi.org/10.14393/BJ-v34n2a2018-39659
Oliveira, J. T.; Oliveira, R. A.; Valente, D. S. M.; Ribeiro, I. S.; & Teodoro, P. E. (2020a). Autocorrelation of Production Components of Irrigated Garlic Crop. HortScience, 55 (12), 1880-1881. https://doi.org/10.21273/HORTSCI15433-20. DOI: https://doi.org/10.21273/HORTSCI15433-20
Oliveira, J. T., de Oliveira, R. A., Puiatti, M., Teodoro, P., & Montanari, R. (2020b). Spatial Analysis and Mapping of the Effect of Irrigation and Nitrogen Application on Lateral Shoot Growing of Garlic. HortScience, 55 (5), 664 - 665. https://doi.org/10.21273/HORTSCI14881-20. DOI: https://doi.org/10.21273/HORTSCI14881-20
Pimentel-Gomes, F. P., & Garcia, C. H. (2002). Estatística aplicada a experimentos agronômicos e florestais: exposição com exemplos e orientações para uso de aplicativos. (vol.309). Piracicaba, Fealq. ISBN: 85-7133-014-X.
Prato-Sarmiento, A. I. (2016). Avaliação financeira do alho (Allium sativum L.) roxo Nacional e Peruano no planalto Cundiboyacense, Colômbia. Ciencia y Tecnología Agropecuaria, 17(1), 43-53. https://doi.org/10.21930/rcta.vol17_num1_art:460. DOI: https://doi.org/10.21930/rcta.vol17_num1_art:460
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. https://doi.org/10.2307/2333709. DOI: https://doi.org/10.1093/biomet/52.3-4.591
Souza, R. D., & Casali, V. D. (1986). Pseudoperfilhamento: uma anormalidade genético-fisiológica em alho. Informe Agropecuário, 12(142), 36-41. http://www.epamig.br/publicacoes/informe-agropecuario/.
Teixeira, P. C., Donagemma, G. K., Fontana, A., & Teixeira, W. G. (2017). Manual de métodos de análise de solo. Rio de Janeiro, Embrapa. ISBN 978-85-7035-771-7.
Viana, J. P. G., Pires, C. J., Pinheiro, J. B., Valente, S. E. S., Lopes, Â. C. A., & Gomes, R. L. F. (2015) Divergência genética em germoplasma de alho. Ciência Rural, 46(2), 203-209. https://doi.org/10.1590/0103-8478cr20130988 DOI: https://doi.org/10.1590/0103-8478cr20130988
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