Estimates of genetic parameters and path analysis of crambe: An important oil plant for biofuel production

Ubieli Alves Araújo  Vasconcelos; Luiz Antônio dos Santos  Dias; Thais Roseli Corrêa; Lucas Barbosa de Castro  Rosmaninho; Dandara Rêgo Muniz da  Silva; Iasmine Ramos  Zaidan

doi:10.4025/actasciagron.v42i1.42490

Ubieli Alves Araújo Vasconcelos Universidade Federal de Vicosa
Luiz Antônio dos Santos Dias Universidade Federal de Viçosa
Thais Roseli Corrêa Universidade Estadual do Maranhão http://orcid.org/0000-0003-3131-4996
Lucas Barbosa de Castro Rosmaninho Universidade Federal de Viçosa
Dandara Rêgo Muniz da Silva Universidade Federal de Viçosa
Iasmine Ramos Zaidan Universidade Federal de Viçosa

DOI: https://doi.org/10.4025/actasciagron.v42i1.42490

Palavras-chave: breeding; biofuels; oleaginous plants; brassicaceae

Resumo

Crambe is an oilseed plant producing oil that can be used for various industrial purposes, including the production of biofuel. It is a short-cycle, non-food plant that can be grown as a second crop following soybean or corn crops and using the same agricultural machinery. This work aimed to estimate genetic parameters and correlations between traits of genotypes grown for two years in seven locations in two Brazilian states. The cultivar FMS Brilhante and the lines CR 1101, CR 1102, CR 1105, CR 1202, CR 1303, and CR 1304 were used. The traits evaluated were grain yield (YD), plant height (PH), stem diameter (SD), first fruiting branch height (BH), 1,000-seed weight (SW), and number of branches (NB). The correlations between traits were identified from the phenotypic covariance matrix through path analysis. Based on the joint analysis, the interaction of genotypes x years x locations was observed. Expressive genetic variability was verified for all evaluated traits, which allows gains to be made with the selection of genotypes. High broad-sense heritabilities based on plot means were verified for YD, BH, and SW (82, 84 and 77%, respectively), which indicates the possibility of directly selecting them. SW and SD showed the greatest direct effects and strongest correlations with YD.

Downloads

Não há dados estatísticos.

Referências

Abreu, H. K. A., Teodoro, P. E., Andréa Pantaleão, A., & Correa, A. M. (2016). Genetic parameters, correlations and path analysis in upland rice genotypes. Bioscience Journal, 32(2), 354-360. DOI: 10.14393/BJ-v32n2a2016-29308

Brasil. Ministério da Agricultura e Reforma Agrária. Secretaria Nacional de Defesa Agropecuária. (2007). Registro Nacional de Cultivares. Brasília, DF: Mapa/ACS.

Carlson, K. D., Gardner, J. C., Anderson, V. L, & Hanzel, J. J. (1996). Crambe: new crop success. In J. Janick (Ed.), Progress in new crops (p. 306-322). Alexandria, VA: ASHS Press.

Cruz, C. D. (2013). GENES - a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum. Agronomy, 35(3), 271-276. DOI: 10.4025/actasciagron.v35i3.2125

Cruz, C. D., Regazzi, A., & Carneiro, P. C. S. (2012). Análise dialélica. In C. D. Cruz (Ed.), Modelos biométricos aplicados ao melhoramento genético (p. 236-367). Viçosa, MG: UFV.

Dias, L. A. S., & Barros, W. S. (2009). Biometria experimental. Viçosa, MG: Suprema.

Du, X. Z., Huang, B. L., Guan, H., Li, Z. Y., & Huang, B. Q. (2014). Production and genetic characterization of interspecific hybrids among Crambe abyssinica, Crambe hispanica and Crambe kralikii. Genetics and Molecular Research, 13(3), 6995-7005. DOI: 10.4238/2014.Marinho.26.2

Falasca, S. L., Flores, N., Lamas, M. C., Carballo, S. M., & Anschau, A. (2010). Crambe abyssinica: An almost unknown crop with a promissory future to produce biodiesel in Argentina. Internacional Journal Hydrogen Energy, 35(11), 5808-5812. DOI: 10.1016/j.ijhydene.2010.02.095

Falconer, D. S. (1987). Introdução à genética quantitativa. Viçosa, MG: Imprensa Universitária.

Fontana, F., Lazzeri, L., Malaguti, L., & Galletti, S. (1998). Agronomic characterization of some Crambe abyssinica genotypes in a locality of the Po Valley. European Journal of Agronomy, 9(2), 117-126. DOI: 10.1016/S1161-0301(98)00037-9

Huang, B., Yang, Y., Luo, T., Wu, S., Du, X., Cai, D., Loo, E. N., & Huang, B. (2013). Correlation, regression and path analyses of seed yield components in Crambe abyssinica, a promising industrial oil crop. American Journal of Plant Sciences, 4(1), 42-47. DOI: 10.4236/ajps.2013.41007

Knights, E. G. (2002). Crambe: A North Dakota case study. A report for the rural industries research and development corporation. Fargo, ND: RIRDC Publication.

Lara-Fioreze, A. C. C., Pivetta, L. G., Zanotto, M. D., & Okita, C.H. (2016). Genetic variation and gain in progenies of crambe. Crop Breeding and Applied Biotechnology, 16(2), 132-140. DOI: 10.1590/1984-70332016v16n2a20

Lessman, K. J., & Meyer, J. D. (1972). Agronomic evaluation of crambe as a source of oil. Crop Science, 12(1), 224-227. DOI: 10.2135/cropsci1972.0011183X001200020024x

Mastebroek, H. D., Wallenburg, S. C., & Soest, L. J. M. (1996). Variation for agronomic characteristics in (Crambe abyssinica Hochst. ex Fries). Industrial Crops and Products, 2(2), 129-136. DOI: 10.1016/0926-6690(94)90094-9

Matin, M. Q. I., Uddin, M. S., Rohman, M. M., Amiruzzaman, M., Azad, A. K., & Banik, B. R. (2017). Genetic variability and path analysis studies in hybrid maize (Zea mays L.). American Journal of Plant Sciences, 8(12), 3101-3109. DOI: 10.4236/ajps.2017.812209

Pitol, C. (2008) Cultura do crambe. In C. Pitol (Ed.), Tecnologia e produção: milho safrinha e culturas de inverno (p. 85-88). Maracajú, MS: Fundação MS.

Pitol, C., Broch, D. L., & Roscoe, R. (2010). Tecnologia e produção: Crambe 2010. Maracajú, MS: Fundação MS.

Rani, G. U., Rao, V. S., Ahmad, M. L., & Rao, N. (2017). Character association and path coefficient analysis of grain yield and yield components in maize (Zea mays L.). International Journal of Current Microbiology and Applied Sciences, 6(12), 4044-4050. DOI: 10.20546/ijcmas.2017.612.465

Resende, M. D. V. (2002). Genética biométrica e estatística no melhoramento de plantas perenes. Brasília, DF: Embrapa Informação Tecnológica.

Silva, F. A., Teodoro, P. E., Casoti, G. S., Correa, C. G., Ribeiro, L. P., & Torres, F. E. (2014). Correlações e parâmetros genéticos em crambe cultivado em diferentes arranjos espaciais. Revista de Ciências Agrárias, 37(4), 441-446.

Silva, T. N., Moro, G. V., Moro, F. V., Santos, D. M. M., & Buzinaro, R. (2016). Correlation and path analysis of agronomic and morphological traits in maize. Revista Ciência Agronômica, 47(2), 351-357. DOI: 10.5935/1806-6690.20160041

Tavares, G. R., Massa, T. B., Gonçalves, J. E., Silva, C., & Santos, W. D. (2017). Assessment of ultrasound-assisted extraction of crambe seed oil for biodiesel synthesis by in situ interesterification. Renewable Energy, 111(1), 659-665. DOI: 10.1016/j.renene.2017.04.065

Teodoro, P. E., Ribeiro, L. P., Corrêa, C. C. G., Luz Júnior, R. A. A., Santos Z. A., Capristo, D. P., & Torres, F. E. (2015). Path analysis in soybean genotypes as function of growth habit. Bioscience Journal, 31(3), 794-799. DOI: 10.14393/BJ-v31n1a2015-26094

Vencovsky, R. (1978). Herança quantitativa. In E. Patterniani (Ed.), Melhoramento e produção de milho no Brasil (p. 122-201). Piracicaba, SP: Marprint.

Vollmann, J., & Ruckenbauer, P. (1993). Agronomie performance and oil quality of crambe as affected by genotype and environment. Die Bodenkultur, 44(1), 335-343.

Wright, S. (1921) Correlation and causation. Journal of Agricultural Research, 20(7), 557-585.