Genetic diversity among cassava landraces cultivated in the north of Mato Grosso state, Brazil using morpho-agronomic descriptors
DOI:
https://doi.org/10.33448/rsd-v10i5.14871Keywords:
Phenotypic characterization; Root color; Macaxeira; Manihot esculenta Crantz; Genetic resources.Abstract
Cassava is one of the most traditional agricultural crops, it has socioeconomic relevance and it is cultivated efficiently in all regions of Brazil. The aim of this study was to characterize 71 cassava landraces, grown in the north of Mato Grosso state, Brazil, through morpho-agronomic descriptors, as well as to highlight landraces with desirable characteristics for commercial cultivation and agro-industrial processing. Thirty-one qualitative and eight quantitative descriptors were used. The data were analyzed with the aid of Excel software and the Genes program. Based on qualitative data, we observed phenotypic variability among the landraces and the formation of ten genetic groups by the UPGMA method. All landraces have roots with more than one characteristic desirable by consumers and, therefore, of agronomic and commercial interest. Through the quantitative data it was possible to form eight distinct groups. The landraces LCA09, MTA02 and MTA05 were the most dissimilar. The descriptors average length of the root (65.70%) and length of the petiole (14.44%) were the ones that most contributed to the genetic diversity among the landraces. The joint analysis of the data gathered the landraces into nine genetic groups, without duplication of material. We conclude that the cassava landraces cultivated by family farmers in Mato Grosso state have genetic diversity related to the morpho-agronomic descriptors. They have desirable characteristics for consumers, have the potential for commercial crops and agro-industrial processing, and can be useful as progenitors in breeding programs with the species.
References
Adjebeng-Danquah, J., Gracen, V. E., Offei, S. K., Asante, I. K. & Manu-Aduening, J. (2016). Agronomic performance and genotypic diversity for morphological traits among cassava genotypes in the Guinea Savannah Ecology of Ghana. Journal of Crop Science and Biotechnology, 19(1):99-108.
Alvares, C. A., Stape, J. L., Sentelhas, P. C., Gonçalves, J. L. M. & Sparovek, G. (2013). Koppen’s climate classification map for Brazil. Meteorologische Zeitschrift, 22(6):711-728.
Alves, A. A. C. & Setter, T. L. (2000). Response of Cassava to Water Deficit: Leaf Area Growth and Abscisic Acid. Crop Science, 40(1):131-137.
Alves-Pereira, A., Peroni, N., Cavallari, M. M., Lemes, M. R., Zucchi, M. I. & Clement, C. R. (2017). High genetic diversity among and within bitter manioc varieties cultivated in different soil types in Central Amazonia. Genetics and Molecular Biology, 40(2):468- 479.
Aplevicz, K. S. & Demiate, I. M. (2007). Caracterização de amidos de mandioca nativos e modificados e utilização em produtos panificados. Ciência e Tecnologia de Alimentos, 27(3):478-484.
BFG. (2015). Growing knowledge: an overview of Seed Plant diversity in Brazil. Rodriguésia, 66(4):1085-1113.
Brown, C. H., Clement, C. R., Epps, P., Luedeling, E. & Wichmann, S. (2013). The Paleobiolinguistics of Domesticated Manioc (Manihot esculenta). Ethnobiology Letters, 4:61-70.
Cole-Rodger, P., Smith, D. W. & Bosland, P. W. (1997). A novel statistical approach to analyze genetic resources evalutions using Capsicum as na example. Crop Science, 37:1000-1002.
Cordeiro, I. Secco, R., Silva, M. J., Sodré, R. C. & Martins, M. L. L. (2015). Manihot in Lista de Espécies da Flora do Brasil. Jardim Botânico do Rio de Janeiro. http://floradobrasil.jbrj.gov.br/jabot/floradobrasil/FB17591
Cruz, C. D. (2016). Genes Software – extended and integrated with the R, Matlab and Selegen. Acta Scientiarum, 38(4):547-552.
Cruz, C. D., Medeiros, F. F. & Pessoni, L. A. (2011). Biometria aplicada ao estudo da diversidade genética. UFV. 620p.
Ebertz, O. F. & Palomino, E. C. (2017). Caracterização morfológica de genótipos de Manihot esculenta Crantz obtidos via sementes. Agroecossistemas, 9(2):66-77.
EMBRAPA. Empresa Brasileira De Pesquisa Agropecuária. (2013). Sistema Brasileiro de Classificação de Solos. (3a ed.), Embrapa Solos.
Figueredo, P. E. Tiago, A. V., Zanetti, G. T., Pinto, J. M. A., Rossi, A. A. B. & Hoogerheide, E. S. S. (2019). Diversidade genética de mandiocas na região periurbana de Sinop, Mato Grosso, Brasil. Magistra, 30:143-153.
Fuhrmann, E., Vieira, E. A., Faleiro, F. G., Fialho, J. F. & Carvalho, L. J. C. B. (2016). Caracterização morfológica de clones elite de mandioca de mesa amarelos biofortificados. Magistra, 28(3/4):427-438.
Fukuda, W. M. G. & Guevara, C. L. (1998). Descritores morfológicos e agronômicos para a caracterização de mandioca (Manihot esculenta Crantz). Cruz das Almas: CNPMF, 38p.
Giles, J. A. D., Oliosi, G., Rodrigues, W. P., Braun, H., Ribeiro-Barros, A. I. & Partelli, F. L. (2018). Agronomic performance and genetic divergence between genotypes of Manihot esculenta. Anais da Academia Brasileira de Ciências, 90(4):3639-3648.
Gomes, R. S., Almeida, C. F., Costa, J. R. S., Machado Junior, R., Delazari, F. T., Santos, F. C. S. & Silva, D. J. H. (2016). Genetic diversity in sweet cassava from the Brazilian Middle North Region and selection of genotypes based on morpho-agronomical descriptors. African Journal of Agricultural Research, 11(38):3710-3719.
Gower, J. C. (1971). A general coefficient of similarity and some of its properties. Biometrics, 27(4):857-871.
Hammer, Ø., Harper, D. A. T. & Ryan, P. D. (2001). Past: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica, 4(1):1-9.
IBGE. Instituto Brasileiro de Geografia e Estatística. Cidades e Estados (2019). https://www.ibge.gov.br/cidades-e-estados/mt/alta-floresta.html.
Léotard, G., Duputié, A., Kjellberg, F., Douzery, E. J. P., Debain, C., Granville, J-J. & Mckey, D. (2009). Phylogeography and the origin of cassava: New insights from the northernrim of the Amazonian basin. Molecular Phylogenetics and Evolution, 53:329-334, 2009.
Menezes, J. B. C., Catão, H. C. R. M., Costa, C. A. & Chauca, M. N. C. (2019). Aspectos agronômicos e qualidade de raízes de mandioca minimamente processadas. Revista Agrarian, 12(46):425-433.
Mojena, R. (1977). Hierarchical grouping methods and stopping rules: an evaluation. The Computer Journal, 20:359-363.
Oler, J. R. L. & Amorozo, M. C. M. (2017). Etnobotânica e conservação on farm de mandioca (Manihot esculenta Crantz) na agricultura de pequena escala no Estado de Mato Grosso, Brasil. Interações, 18(4):137-153.
Pedri, E. C. M., Hoogerheide, E. S. S., Tiago, A. V., Cardoso, E. S., Pinto, J. M. A., Santos, L. L. Yamashita, O. M. & Rossi, A. A. B. (2019). Genetic diversity of cassava landraces cultivated in northern Mato Grosso State, Brazil, using microsatellite markers. Genetics and Molecular Research, 18(3): gmr18315.
Silva, D. C. O., Alves, J. M. A., Uchôa, S. C. P., Sousa, A. A., Barreto, G. F. & Silva, C. N. (2017). Curvas de crescimento de plantas de mandioca submetidas a doses de potássio. Revista de Ciências Agrárias, 60(2):158-165.
Silva, K. N., Vieira, E. A., Fialho, J. F., Carvalho, L. J. C. B. & Silva, M. S. (2014). Potencial agronômico e teor de carotenoides em raízes de reserva de mandioca. Ciência Rural, 44(8):1348-1354.
Singh, D. (1981). The relative importance of characters affecting genetic divergence. Indian Journal of Genetics and Plant Breeding, 4:237-245.
Teixeira, P. R. G., Viana, A. E. S., Cardoso, A. D., Lopes, S. C., Guimarães, D. G. & Bastos, A. C. (2014). Características morfológicas de quatro variedades de mandioca de mesa cultivadas em Vitória da Conquista - BA. Revista Raízes e Amidos Tropicais, 10(1):1-8.
Tiago, A. V., Hoogerheide, E. S. S., Pedri, E. C. M., Rossi, F. R., Cardoso, E. S., Pinto, J. M. A., Pena, G. F. & Rossi, A. A. B. (2019). Genetic diversity and population structure of cassava ethno-varieties grown in six municipalities in the state of Mato Grosso, Brazil. Genetics and Molecular Research, 18(4): gmr18357.
Tiago, A. V., Pedri, E. C. M., Rossi, F. S., Santos, L. L., Lima, J. A., Cardoso, E. S., Roveda, A. P., Hoogerheide, E. S. S. & Rossi, A. A. B. (2020). Phenotypic characterization of cassava ethno-varieties in the state of Mato Grosso, Brazil. Genetics and Molecular Research, 19(2): gmr18538.
Vargas, P. F., Engelking, E. W., Almeida, L. C. F., Ferreira, A. & Charlo, H. C. O. (2018). Genetic diversity among sweet potato crops cultivated by traditional farmers. Revista Caatinga, 31(3):779-790.
Vendramini, J. M., Neves, L. G., Barelli, M. A. A., Elias, J. C. F. & Luz, P. B. (2011). Otimização do uso dos descritores morfo-agronômicos de mandioca em análise multivariada. Revista Ciência Agronômica, 42(4):906-913, 2011.
Vieira, E. A., Fialho, J. F., Faleiro, F. G., Bellon, G., Fonseca, K. G., Silva, M. S., Paula-Moraes, S. V. & Carvalho, L. J. C. B. (2013). Caracterização fenotípica e molecular de acessos de mandioca de indústria com potencial de adaptação às condições do Cerrado do Brasil Central. Semina: Ciências Agrárias, 34(2):567-582.
Vieira, E. A., Fialho, J. F., Silva, M. S., Fukuda, W. M. G. & Faleiro, F. G. (2008). Variabilidade genética do banco de germoplasma de mandioca da Embrapa cerrados acessada por meio de descritores morfológicos. Científica, 36(1):56 - 67.
Zago, B. W., Barelli, M. A. A., Hoogerheide, E. S. S., Corrêa, C. L., Delforno, G. I. S., & Da Silva, C. J. (2017). Morphological diversity of cassava accessions of the south-central mesoregion of the State of Mato Grosso, Brazil. Genetics and Molecular Research, 16(3), gmr16039725.
Zuin, G. C., Vidigal Filho, P. S., Kvitschal, M. V., Gonçalves-Vidigal, M. C. & Coimbra, G. K. (2009). Divergência genética entre acessos de mandioca-de-mesa coletados no município de Cianorte, região Noroeste do Estado do Paraná. Semina: Ciências Agrárias, 30(1):21-30.
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Copyright (c) 2021 Eliane Cristina Moreno de Pedri; Larissa Lemes dos Santos; Mariéllen Schmith Wolf; Auana Vicente Tiago; Elisa dos Santos Cardoso; Eulalia Soler Sobreira Hoogerheide; Ana Aparecida Bandini Rossi
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