Abbruzzini, Thalita Fernanda 
; Brandani, Carolina Braga ; Toledo, Fernando Henrique Ribeiro Barrozo; Cerri, Carlos Eduardo Pellegrino
Source: Carbon Management. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, CARBONO, FERTILIDADE DO SOLO, MODELOS MATEMÁTICOS, NITROGÊNIO
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ABNT
ABBRUZZINI, Thalita Fernanda et al. Soil carbon and nitrogen stocks in sugarcane systems by Bayesian conditional autoregressive model: an unbiased prediction strategy. Carbon Management, v. 8, n. 2, p. 207-214, 2017Tradução . . Disponível em: https://www.tandfonline.com/doi/epdf/10.1080/17583004.2017.1309204. Acesso em: 08 out. 2025.APA
Abbruzzini, T. F., Brandani, C. B., Toledo, F. H. R. B., & Cerri, C. E. P. (2017). Soil carbon and nitrogen stocks in sugarcane systems by Bayesian conditional autoregressive model: an unbiased prediction strategy. Carbon Management, 8( 2), 207-214. doi:10.1080/17583004.2017.1309204NLM
Abbruzzini TF, Brandani CB, Toledo FHRB, Cerri CEP. Soil carbon and nitrogen stocks in sugarcane systems by Bayesian conditional autoregressive model: an unbiased prediction strategy [Internet]. Carbon Management. 2017 ; 8( 2): 207-214.[citado 2025 out. 08 ] Available from: https://www.tandfonline.com/doi/epdf/10.1080/17583004.2017.1309204Vancouver
Abbruzzini TF, Brandani CB, Toledo FHRB, Cerri CEP. Soil carbon and nitrogen stocks in sugarcane systems by Bayesian conditional autoregressive model: an unbiased prediction strategy [Internet]. Carbon Management. 2017 ; 8( 2): 207-214.[citado 2025 out. 08 ] Available from: https://www.tandfonline.com/doi/epdf/10.1080/17583004.2017.1309204
