Mathematical models for estimation cladode area and weight in forage cactus Little Sweet clone
DOI:
https://doi.org/10.33448/rsd-v9i12.11503Keywords:
Non-destructive method; Modelling; Nopalea cochenillifera.Abstract
The forage cactus is one of the main forages used to feed ruminants in semiarid regions. Cladode area and weight measurements are necessary in agronomic studies, being one of the main parameters used to evaluate the cacti growth. Thus, the objective was to define the best models for estimating the cladode area and weight of Little Sweet clone (Nopalea cochenillifera) in a non-destructive way based on the cladod linear dimensions. To determine the cladode area and weight, 582 cladodes were randomly collected, with 191 primary, 186 secondary and 205 tertiary. Then, the cladodes were individually numbered and weighed. The linear dimensions of length (L), maximum width (W) and thickness (T) of each cladode were measured with a digital caliper. The cladode area was calculated using the gravimetric method. Linear regression, gamma and power models were used to explain the cladode area and weight. The evaluation criteria of the models were determination coefficient, Akaike information criterion, sum of squared residue and Willmott index. The power models were the most efficient to explain the area of the cladode (AC) as a function of the product of the length by the width, and the weight of the cladode (WC) as a function of the product of the length by the width and thickness. The power models, =LW0.985 and =0,0045(T0,806 LW1,099), can be used with greater precision to estimate, respectively, the cladode area and weight of the Nopalea cochenillifera Little Sweet clone based on the values of the linear dimensions of the cladode.
References
Achten, W. M. J., Maes, W. H., Reubens, B.; Mathijs, E., Singh, V. P., Verchot, L. V., & Muys, B. (2010). Biomass production and allocation in Jatropha curcas L. seedlings under different levels of drought stress. Biomass and Bioenergy, 34(5), 667-676. DOI: https://doi.org/10.1016/j.biombioe.2010.01.010
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723. doi: 10.1109/TAC.1974.1100705
Cavalcante, L. A. D., Santos, G. R. D. A., Silva, L. M. D., Fagundes, J. L., & Silva, M. A. D. (2014). Respostas de genótipos de palma forrageira a diferentes densidades de cultivo. Pesquisa Agropecuária Tropical, 44(4), 424-433. DOI: 10.1590/S1983-40632014000400010.
Cortazar, V. G., & Nobel, P. S. (1992). Biomass and Fruit Production for the Prickly Pear Cactus, Opuntia ficus-indica. Journal American Society Horticulture Science, 117(4), 558-562.
Cunha, D. N. F. V., Gomes, E. S., Martuscello, J. A., Amorim, P. L., Silva, R. C., & Ferreira, P. S. (2012). Morfometria e acúmulo de biomassa em palma forrageira sob doses de nitrogênio. Revista Brasileira de Saúde e Produção Animal, 13(4), 1156-1165. DOI: http://dx.doi.org/10.1590/S1519-99402012000400005
Diniz, W. J. S., Silva, T. G. F., Ferreira, J. M. S., Santos, D. C., Moura, M. S. B., Araújo, G. G. L., & Zolnier, S. (2017). Forage cactus-sorghum intercropping at different irrigation water depths in the Brazilian Semiarid Region. Pesquisa Agropecuária Brasileira, 52(9), 724-733. DOI: http://dx.doi.org/10.1590/s0100-204x2017000900004
Freire, J. L., Santos, M. V. F. Dubeux Jr., J. C. B., Neto, E. B., Lira, M. A., Cunha, M. V., Djalma, C. S., Amorim, S. O., & Mello, A. C. L. (2018). Growth of cactus pear cv. Miúda under different salinity levels and irrigation frequencies. Anais da Academia Brasileira de Ciências, 90(4), 3893-3900. http://dx.doi.org/10.1590/0001-3765201820171033
Gomes, M. L. S., Queiroz, M. J., Pereira, F. C., Costa, D. B., & Oliveira, G. S. (2016). Caracterização biométrica de artículos da palma miúda (Nopalea cochenillifera) em função da adubação orgânica. Revista Principia, 2(9), 39-45. DOI: http://dx.doi.org/10.18265/1517-03062015v1n29p39-45
Guimarães, B. V. C., Donato, S. L. R., Azevedo, A. M., Aspiazú, I., & Silva Jr., A. A. (2018). Prediction of ‘Gigante’ cactus pear yield by morphological characters and artificial neural networks. Revista Brasileira de Engenharia Agrícola e Ambiental, 22(5), 315-319. DOI: http://dx.doi.org/10.1590/1807-1929/agriambi.v22n5p315-319
Hartzell, S., Bartlett, M. S., & Porporato, A. (2018). Unified representation of the C3, C4, and CAM photosynthetic pathways with the Photo3 model. Ecological Modelling, 384, 173-187. DOI: https://doi.org/10.1016/j.ecolmodel.2018.06.012
Knupp, L. S., Carvalho, F. F. R., Cannas, A., Marcondes, M. I., Silva, A. L., Francesconi, A. H. D., Cruz, G. B., Atzori, A. S., Gaspa, G., & Costa, R. G. (2019). Meta-analysis of spineless cactus feeding to meat lambs: performance and development of mathematical models to predict dry matter intake and average daily gain. Animal, 13(10), 2260-2267. DOI: 10.1017/S1751731119000326
Leite, M. L. M. V., Silva, D. S.., Andrade, A. P., Pereira, W. E., & Ramos, J. P. F. (2014). Caracterização da produção de palma forrageira no Cariri paraibano. Revista Caatinga, 27(2), 192–200. https://periodicos.ufersa.edu.br/index.php/caatinga/article /view/2830/pdf_128
Leite, M. L. M. V., Lucena, L. R. R., Sá Júnior, E. H., & Cruz, M. G. (2017). Estimativa da área foliar em Urochloa mosambicensis por dimensões lineares. Revista Agropecuária Técnica, 38(1), 9-17. doi: doi.org/10.25066/agrotec.v38i1.32041.
Leite, M. L. M. V., Lucena, L. R. R., Cruz, M. G., Sá Júnior, E. H., & Simões, V. J. L. P. (2019). Leaf area estimate of Pennisetum glaucum by linear dimensions. Acta Scientiarum Animal Sciences, 41, e42808. DOI: https://doi.org/10.4025/actascianimsci.v41i1.42808
Liguori, G., Inglese, G., Pernice, F., Sortino, G., & Inglese, P. (2013). CO2 uptake of Opuntia ficus-indica (L.) Mill. whole tress and single cladodes, in relation to plant water status and cladode age. Italian Journal of Agronomy, 8(1), 14-20. DOI: https://doi.org/10.4081/ija.2013.e3
Lucena, L. R. R., Leite, M. L. M. V., Simões, V. J. L. P., Simões, V. J. L. P., & Almeida, M. C. R. (2018). Área de cladódio de palma Opuntia stricta utilizando dimensões lineares. Agrarian Academy, 5(9), 46-55. DOI: https://doi.org/10.18677/Agrarian_Academy_2018a5
Lucena, L. R. R., Leite, M. L. M. V., Cruz Jr., C. B., Carvalho, J. D., Santos, E. R., & Oliveira, A. D. M. (2019). Estimation of cladode area of Nopalea cochenillifera using digital images. JPACD, 1, 32-42.
Pereira, A. S., Shitsuka, D. M., Parreira, F. J., & Shitsuka, R. (2018). Metodologia da pesquisa científica. [e-book]. Santa Maria: Ed. UAB/NTE/UFSM. Recuperado de https://repositorio.ufsm.br/bitstream/handle/1/15824/Lic_Computacao_MetodologiaPesquisa-Cientifica.pdf?sequence=1
Pereira, J. S., Leite, M. L. M. V., Cavalcante, A. B., & Lucena, L. R. R. (2018). Crescimento inicial de Nopalea cochenillifera em função do fracionamento do cladódio. Revista Agropecuária Técnica, 39(2), 120-128. DOI: https://doi.org/ 10.25066/agrotec.v39i2.37995
Pinheiro, K. M., Silva, T. G. F., Carvalho, H. F. S., Santos, J. E. O., Morais, J. E. F., Zolnier, S., & Santos, D. C. (2014). Correlações do índice de área do cladódio com características morfogênicas e produtivas da palma forrageira. Pesquisa Agropecuária Brasileira, 49(12), 939-947. DOI: https://doi.org/10.1590/S0100-204X201400120000
Reis, C. M. G., Gazarini, L. C., Fonseca, T. F., & Ribeiro, M. M. (2016). Above-ground biomass estimation of Opuntia ficus-indica (l.) mill. for forage crop in a mediterranean environment by using non-destructive methods. Experimental Agriculture, 54(2), 227-242. DOI: https://doi.org/10.1017/S0014479716000211
Santos, T. N., Dutra, E. D., Prado, A. G., Leite, F. C. B., Souza, R. F. R., Santos, D. C., Abreu, C. A. M., Simões, D. A., Morais Jr, M. A., & Menezes, R. S. C. (2016). Potential for biofuels from the biomass of prickly pear cladodes: Challenges for bioethanol and biogas production in dry areas. Biomass and Bioenergy, 85, 215-222. DOI: http://dx.doi.org/10.1016/j.biombioe.2015.12.005
Schmildt, E. R., Amaral, J. A. T., Schmildt, O., & Santos, J. S. (2014). Análise comparativa de equações para estimativa da área foliar em cafeeiros. Coffee Science, 9(2), 155-167. DOI: http://dx.doi.org/10.25186/cs.v9i2.573
Silva, T. G. F., Miranda, K. R., Santos, D. C., Queiroz, M. G., Silva, M. C., Neto, J. F. C., & Araújo, J. E. M. (2014). Área do cladódio de clones de palma forrageira: modelagem, análise e aplicabilidade. Revista Brasileira de Ciências Agrárias, 9(4), 633-641. DOI: http://dx.doi.org/10.5039/agraria.v9i4a4553
Silva, T. G. F., Primo, J. T. A., Morais, J. E. F., Diniz, W. J. S., Souza, C. A. A., & Silva, M. C. (2015). Crescimento e produtividade de clones de palma forrageira no semiárido e relações com variáveis meteorológicas. Revista Caatinga, 28(2), 10-18.
Souza Filho, P. F., Ribeiro, V. T., Santos, E. S., & Macedo, G. R. (2016). Simultaneous saccharification and fermentation of cactus pear biomass–evaluation of using different pretreatments. Industrial Crops and Products, 89, 425-433. DOI: https://doi.org/10.1016/j.indcrop.2016.05.028
Willmott, C. J. (1981). On the validation of models. Physical geography, 2(2), 184-194. DOI: 10.1080/02723646.1981.10642213
Winter, K., Garcia, M. N., & Holtum, J. A. M. (2011). Drought-stress-induced up-regulation of CAM in seedlings of a tropical cactus. Journal of Experimental Botany, 62(11), 4037-4042. DOI: https://doi.org/10.1093/jxb/err106
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Copyright (c) 2020 Mauricio Luiz de Mello Vieira Leite; Gabrieli Alves de Oliveira; Leandro Ricardo Rodrigues de Lucena; Antônio Dennys Melo de Oliveira; Álefe Chagas de Lima Costa; Fredson Luan Queiroz dos Anjos; Carla Barbosa da Silva; Igor Masterson de Farias
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