Estimating the light conversion efficiency by sugarcane: the segmented approach

The classical method to estimate the light conversion efficiency (ε_c) gives a single value for the whole crop cycle (ε_co) but does not reveal any variation along the growing season. We proposed the segmented approach to uncover such variations along sugarcane (Saccharum sp. hybrid) growth cycle. Our analyses revealed that longer sampling intervals could overestimate ε_co and that the segmented light conversion efficiency (ε_cs) varied between 0.09 and 5.39 g MJ^-1 during the crop cycle. The ε_cs would provide insights on how the environment affects ε_c and how to increase biomass production through crop management practices.

Key words
Biomass; growth; Saccharum; segmentation

Authorship

LARISSA P. CRUZ

Universidade de Campinas (UNICAMP), Instituto de Biologia, Departamento de Biologia Vegetal, Laboratório de Fisiologia de Plantas Cultivadas (LCroP), Rua Monteiro Lobato, 255, 13083-970 Campinas, SP, BrazilUniversidade de Campinas (UNICAMP)BrazilCampinas, SP, BrazilUniversidade de Campinas (UNICAMP), Instituto de Biologia, Departamento de Biologia Vegetal, Laboratório de Fisiologia de Plantas Cultivadas (LCroP), Rua Monteiro Lobato, 255, 13083-970 Campinas, SP, Brazil

Programa de Pós-Graduação em Bioenergia, Universidade Estadual de Campinas (UNICAMP), Faculdade de Engenharia de Alimentos, Rua Monteiro Lobato, 80, 13083-862 Campinas, SP, BrazilPrograma de Pós-Graduação em BioenergiaBrazilCampinas, SP, BrazilPrograma de Pós-Graduação em Bioenergia, Universidade Estadual de Campinas (UNICAMP), Faculdade de Engenharia de Alimentos, Rua Monteiro Lobato, 80, 13083-862 Campinas, SP, Brazil

https://orcid.org/0000-0002-4533-5475

EDUARDO C. MACHADO

Instituto Agronômico (IAC), Centro de Pesquisa e Desenvolvimento de Biossistemas Agrícolas e Pós-Colheita, Laboratório de Fisiologia Vegetal “Coaracy M. Franco”, Av. Dr. Theodureto de Almeida Camargo, 1500, 13075-630 Campinas, SP, BrazilInstituto Agronômico (IAC)BrazilCampinas, SP, BrazilInstituto Agronômico (IAC), Centro de Pesquisa e Desenvolvimento de Biossistemas Agrícolas e Pós-Colheita, Laboratório de Fisiologia Vegetal “Coaracy M. Franco”, Av. Dr. Theodureto de Almeida Camargo, 1500, 13075-630 Campinas, SP, Brazil

https://orcid.org/0000-0002-6512-5408

RAFAEL V. RIBEIRO

https://orcid.org/0000-0002-1148-6777

Correspondence to: Rafael Vasconcelos Ribeiro E-mail: rvr@unicamp.br

AUTHOR CONTRIBUTIONS

Larissa P. Cruz: Methodology, Formal Analysis, Data Curation, Writing – Original Draft, Writing – Review & Editing; Eduardo C. Machado: Conceptualization, Methodology, Writing – Review & Editing, Funding acquisition; Rafael V. Ribeiro: Conceptualization, Methodology, Writing – Original Draft, Writing – Review & Editing, Supervision, Project administration, Funding acquisition.

SCIMAGO INSTITUTIONS RANKINGS

Figures

Figures (3)

Thumbnail

Figure 1
a) Daily incident solar radiation (Q_i ) along crop cycle in Campinas SP, Brazil and b) cumulative Q_i along the crop cycle and cumulative intercepted Q_i (Q_int ) when considering the variation of light interception efficiency. c) Above-ground dry biomass of sugarcane estimated by a logistic function with biomass accumulation dynamics with (red) or without (blue) a plateau. In d), triangles indicate the sampling intervals of 30 (30d, in light blue), 45 (45d, in orange), 60 (60d, in green), 90 (90d, in yellow) and 120 (120d, in gray) days.

Thumbnail

Figure 2
Light conversion efficiency estimated for the whole cycle (ε_co, from 30 to 360 days, gray area) and segmented along the crop cycle (ε_cs). We considered a sampling interval of 30 days and biomass accumulation dynamics with (red) and without (blue) a plateau.

Thumbnail

Figure 3
Light conversion efficiency estimated for the whole cycle (ε_co) considering each sampling interval and biomass accumulation dynamics with (red) and without (blue) a plateau. For the dynamics with a plateau, there was no significant trend and ‘y’ represents the mean value of ε_co (n=5) ± SD. p means the statistical significance of the linear regression, indicating strong evidence against the null hypothesis when < 0.05.

Figure 1 a) Daily incident solar radiation (Q_i ) along crop cycle in Campinas SP, Brazil and b) cumulative Q_i along the crop cycle and cumulative intercepted Q_i (Q_int ) when considering the variation of light interception efficiency. c) Above-ground dry biomass of sugarcane estimated by a logistic function with biomass accumulation dynamics with (red) or without (blue) a plateau. In d), triangles indicate the sampling intervals of 30 (30d, in light blue), 45 (45d, in orange), 60 (60d, in green), 90 (90d, in yellow) and 120 (120d, in gray) days.

Figure 2 Light conversion efficiency estimated for the whole cycle (ε_co, from 30 to 360 days, gray area) and segmented along the crop cycle (ε_cs). We considered a sampling interval of 30 days and biomass accumulation dynamics with (red) and without (blue) a plateau.

Figure 3 Light conversion efficiency estimated for the whole cycle (ε_co) considering each sampling interval and biomass accumulation dynamics with (red) and without (blue) a plateau. For the dynamics with a plateau, there was no significant trend and ‘y’ represents the mean value of ε_co (n=5) ± SD. p means the statistical significance of the linear regression, indicating strong evidence against the null hypothesis when < 0.05.

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Estimating the light conversion efficiency by sugarcane: the segmented approach

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[1] Correspondence to: Rafael Vasconcelos Ribeiro E-mail: rvr@unicamp.br