Fruit productivity of “Pera” sweet orange grafted on different rootstocks in the mesoregion of Northeast Pará (Brazil)
Productividad de frutos en naranja dulce “Pera” injertada sobre diferentes portainjertos en la mesorregión del Nordeste de Pará (Brasil)
DOI:
https://doi.org/10.15446/agron.colomb.v43n2.121332Keywords:
Citrus sinensis (L.) Osbeck, graphical analysis, stability, adaptability, genetic improvement, perennial plants, Amazon region (en)Citrus sinensis (L.) Osbeck, análisis gráfico, estabilidad, adaptabilidad, mejoramiento genético, plantas perennes, región Amazónica (es)
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Citrus is among the most important cultivated species in the world. However, the Northern region of Brazil, despite its available cultivation, still presents incipient production and faces numerous environmental factors that require further study to mitigate the impact of genotype-by-environment interactions. To address this issue, an experiment was set up in the municipality of Capitão Poço, Pará, using a completely randomized block design to evaluate six graft/rootstock combinations with AMMI and GGE Biplot analyses. The variables assessed were total fruit weight (FW), and the sum of the total fruit produced by the plant, measured in kg, in the 2018, 2019, 2020, and 2021a (first half of the year) and 2021b (second half of the year) harvests. Superior rootstocks were ‘Santa Cruz’ Rangpur lime (C. x limonia Osbeck) (T1) and ‘San Diego’ citrandarin (TSK x TRENG-314) (T10). Although T1 and T10 had low stability in certain years, for ideotype aspect T1 was superior in relation to the other rootstocks and, despite the search for more promising materials, which here were the least stable, it must be accepted that there are risks, as there is no way to predict production in later years. Future research should identify which environmental factors favor fruit productivity and which generate instability in the Capitão Poço region.
Los cítricos están entre las especies cultivadas más importantes del mundo, pero la región norte de Brasil, a pesar de su área disponible para el cultivo, aún tiene una producción incipiente y, por presentar infinitas combinaciones de efectos ambientales, se requieren estudios que puedan evaluar el efecto de la interacción genotipo x ambiente. Para abordar esta problemática, se estableció un experimento en el municipio de Capitão Poço del Estado de Pará siguiendo un diseño en bloques completamente al azar con el fin de evaluar seis combinaciones de injerto/portainjerto mediante un análisis gráfico AMMI y GGE Biplot. Las variables evaluadas fueron peso total de los frutos (FW), y suma del total de frutos producidos por la planta, medido en kg, en las cosechas de 2018, 2019, 2020 y 2021a (primera mitad del año) y 2021b (segunda mitad del año). Los portainjertos más destacados fueron los de limón Rangpur “Santa Cruz” (C. x limonia Osbeck) (T1) y citrandarin “San Diego” (TSK x TRENG-314) (T10). Aunque T1 y T10 tuvieron baja estabilidad para ciertos años, para el aspecto ideotipo T1 fue superior con relación a los demás portainjertos y a pesar de la búsqueda de materiales más prometedores, que en este caso fueron los menos estables, es necesario aceptar que existen riesgos, ya que no es posible predecir la producción en años posteriores. Investigaciones futuras deberían identificar cuáles factores ambientales favorecen la productividad frutícola y cuáles generan inestabilidad en la región de Capitão Poço.
References
Adewale, B. D., OIkonj, C., Oyekanmi, A. A., Akintobi, D. A. C., & Aremu, C. O. O. (2010). Genotypic variability and stability of some grain yield components of cowpea. African Journal of Agricultural Research, 5(9), 874−880. https://www.cabidigitallibrary.org/doi/full/10.5555/20103197359
Bastos, D. C., Sombra, K. E. S., Andrade, H. M., Santos Filho, L. G., & Passos, O. S. (2017). Biometric evaluation of orange cultivars using different rootstocks in the semiarid region of Ceará, Brazil. Citrus Research & Technology, 38(1), 71−76. https://www.researchgate.net/publication/323858350_Biometric_evaluation_of_orange_cultivars_using_different_rootstocks_in_the_semiarid_region_of_Ceara_Brazil
Bastos, D. C., Sombra, K. E. S., Loureiro, F. L. C., Costa e Silva, A. C., & Passos, O. S. (2017). Initial development of Tahiti acid lime trees on different rootstocks in the semiarid region of Ceará, Brazil. Citrus Research & Technology, 38(1), 77−82. https://www.citrusrt.ccsm.br/article/10.4322/crt.ICC045/pdf/citrusrt-38-1-77.pdf
Borges, A. C. G., & Costa, V. M. H. M. (2005). A evolução do agronegócio citrícola paulista e o perfil da intervenção do estado. Revista Brasileira Multidisciplinar -ReBraM, 9(2), 101−124. https://doi.org/10.25061/2527-2675/ReBraM/2006.v9i2.270
Carvalho, H. W. L., Teodoro, A. V., Barros, I., Carvalho, L. M., Soares Filho, W. S., Girardi, E. A., Passos, O. S., & Pinto-Zevallos, D. M. (2020). Rootstock-related improved performance of ´Pera´ sweet orange under rainfed conditions of Northeast Brazil. Scientia Horticulturae, 263, Article 109148. https://doi.org/10.1016/j.scienta.2019.109148
Carvalho, L. M., Carvalho, H. W. L., Soares Filho, W. S., Martins, C. R., & Passos, O. S. (2016). Porta-enxertos promissores, alternativos ao limoeiro “Cravo”, nos Tabuleiros Costeiros de Sergipe. Pesquisa Agropecuária Brasileira, 51(2), 132−141. https://doi.org/10.1590/S0100-204X2016000200005
Costa, D. P. (2019). Desempenho horticultural e tolerância à seca de laranjeira “Valência” sobre porta-enxertos híbridos de citros na região norte do estado de São Paulo [Doctoral dissertation, Universidade Estadual de Santa Cruz]. https://www.biblioteca.uesc.br/pergamumweb/vinculos/201511084T.pdf
Costa, D. P., Stuchi, E. S., Girardi, E. A., Moreira, A. S., Gesteira, A. S., Coelho Filho, M. A., Ledo, C. A. S., Silva, A. L. V., Leão, H. C., Passos, O. S., & Soares Filho, W. S. (2021). Less is more: a hard way to get potential dwarfing hybrid rootstocks for Valencia sweet orange. Agriculture, 11(4), Article 354. https://doi.org/10.3390/agriculture11040354
Cruz, C. D., Carneiro, P. C. S., & Regazzi, A. J. (2014). Modelos biométricos aplicados ao melhoramento genético (3rd ed.). Viçosa, Editora UFV. https://www.editoraufv.com.br/produto/modelos-biometricos-aplicados-ao-melhoramento-genetico/1109038?srsltid=AfmBOopRnWNtPB3gP51YfsqIP1pSY2Bxz3NUTMiceYleDLktCj6qB3ru
Cruz, C. D. (2012). Princípios de genética quantitativa. Viçosa, Editora UFV. https://livraria.funep.org.br/product/principios-de-genetica-quantitativa
Duarte, J. B., & Vencovsky, R. (1999). Interação genótipos x ambientes: uma introdução à análise AMMI. Sociedade Brasileira de Genética. Ribeirão Preto, SP, Brazil. https://www.researchgate.net/publication/235941257_Interacao_genotipos_x_ambientes_uma_introducao_a_analise_AMMI
Ferrer, V., Paymal, N., Quinton, C., Costantino, G., Paoli, M., Froelicher, Y., Ollitrault, P., Tomi, F., & Luro, F. (2022). Influence of the rootstock and the ploidy level of the scion and the rootstock on sweet orange (Citrus sinensis) peel essential oil yield, composition and aromatic properties. Agriculture, 12(2), Article 214. https://doi.org/10.3390/agriculture12020214
Gauch Jr., H. G., & Zobel, R. W. (1988). Predictive and postdictive success of statistical analysis of yield trials. Theoretical and Applied Genetics, 76(1), 1−10. https://doi.org/10.1007/BF00288824
Gomes, F. P. (2022). Curso de estatística experimental (15th ed.). FEALQ, São Paulo. https://loja.fealq.org.br/produtos/curso-de-estatistica-experimental-15-edicao/
Huang, L., Grosser, J., Gmitter Jr., F. G., Sim, C. A., & Wang, Y. (2020). Effects of scion/rootstock combination on flavor quality of orange juice from Huanglongbing (HLB)-affected trees: a two-year study of the targeted metabolomics. Journal of Agricultural and Food Chemistry, 68(10), 3286−3296. https://doi.org/10.1021/acs.jafc.9b07934
IBGE – Instituto Brasileiro de Geografia e Estatística (2025, April). PAM – Produção Agrícola Municipal 2021 IBGE. https://www.ibge.gov.br/estatisticas/economicas/agricultura-e-pecuaria/9117-producao-agricola-municipal-culturas-temporarias-e-permanentes.html?=&t=resultados
Karimizadeh, R., Asghari, A., Chinipardaz, R., Sofalian, O., & Ghaffarii, A. (2016). Determining yield stability and model selection by AMMI method in rain-fed durum wheat genotypes. Turkish Journal of Field Crops, 21(2), 174−183. https://dergipark.org.tr/en/pub/tjfc/issue/37058/425744
Maia, M. C. C., Oliveira, L. C., Alvares, V. S., Maciel, V. T., Lessa, L. S., & Roncatto, G. (2010). Caracterização agroindustrial de clones experimentais de cupuaçuzeiro. Anais do Congresso Brasileiro de Fruticultura 21. Frutas: saúde, inovação e responsabilidade. Natal, October 12-22. https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/866128/1/23705.pdf
Maia, M. C. C., Resende, M. D. V., Paiva, J. R., Cavalcanti, J. J. V., & Barros, L. M. (2009). Seleção simultânea para produção, adaptabilidade e estabilidade genotípicas em clones de cajueiro, via modelos mistos. Pesquisa Agropecuária Tropical, 39(1), 43−50. https://revistas.ufg.br/pat/article/view/5704
Malosetti, M., Ribaut, J.-M., & van Eeuwijk, F. A. (2013). The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis. Frontiers in Physiology, 4, Article 44. https://doi.org/10.3389/fphys.2013.00044
Medina, C. L., Rena, A. B., Siqueira, D. L., & Machado, E. C. (2005). Fisiologia dos citros. In D. Mattos Junior, J. D. De Negri, R. M. Pio, & J. Pompeu Junior (Eds.), Citros (pp. 148−195). Fundag. https://pt.scribd.com/doc/257581876/Mattos-Junior-et-al-2005-Citros-Livro-Digital
Muthoni, J., Shimelis, H., & Melis, R. (2015). Genotype x environment interaction and stability of potato tuber yield and bacterial wilt resistance in Kenya. American Journal of Potato Research, 92, 367−378. https://doi.org/10.1007/s12230-015-9442-z
Passos, O. S., Machado, C. F., Souza, A. S., Soares Filho, W. S., Souza, F. V. D., Cunha Sobrinho, A. P., Gesteira, A. S., Girardi, E. A., Barbosa, C. J., Santos Filho, H. P., Nascimento, A. S., & Rosa, R. C. C. (2016). Banco ativo de germoplasma de citros da Embrapa Mandioca e Fruticultura. Embrapa. https://www.infoteca.cnptia.embrapa.br/infoteca/bitstream/doc/1038877/3/FolderCitrosBAG2016portugues.pdf
Pereira, H. S., Alvares, R. C., Silva, F. C., Faria, L. C, & Melo, L. C. (2017). Genetic, environmental and genotype x environment interaction effects on the common bean grain yield and commercial quality. Semina: Ciencias Agrárias, 38(3), 1241−1250. https://doi.org/10.5433/1679-0359.2017v38n3p1241
Pimentel, U. V., Martins, A. B. G., Barbosa, J. C., & Cavallari, L. L. (2014). Nutrição do porta-enxerto ‘Flying Dragon’. Revista Brasileira de Fruticultura, 36(2), 495−502. https://doi.org/10.1590/0100-2945-193/13
Ramalho, M. A. P, Abreu, A. F. B., Santos, J. B., & Nunes, J. A. R. (2024). Aplicações da genética quantitativa no melhoramento de plantas autógamas. UFLA. https://www.editoraufv.com.br/produto/aplicacoes-da-genetica-quantitativa-no-melhoramento-
de-plantas-autogamas/1110838srsltid=AfmBOopIuGDEwzhyfbXrFAQgl9Ev44eoOtSuZibziNXwaDTQKwJGdMWB
Ribeiro, S. I.; E. G. da, Silva, E. G., & Ribeiro, N. S. V. (2006). Desempenho de laranjeiras em Capitão Poço, PA. Belém, PA: Embrapa Amazônia Oriental. 16 p. il (Embrapa Amazônia Oriental. Boletim de pesquisas e desenvolvimento, 57).
Rodrigues, M. J. S., Oliveira, E. R. M., Girardi, E. A., Ledo, C. A. S., & Soares Filho, W. S. (2016). Produção de mudas de citros com diferentes combinações copa e porta-enxerto em viveiro protegido. Revista Brasileira de Fruticultura, 38(10), 187−201. https://doi.org/10.1590/0100-2945-284/14
Santana, L. G. L., Souza, E. S., Passos, O. S., Gesteira, A. S., Ledo, C. A. S., & Soares Filho, W. S. (2018). Vigor and mortality of citrus progênies with potential use as rootstocks. Scientia Agricola, 75(4), 339−345. https://doi.org/10.1590/1678-992X-2016-0455
Schwartz, G. (2007). Manejo sustentável de florestas secundárias: espécies potenciais no nordeste do Pará, Brasil. Amazônia: Ciência & Desenvolvimento, 3(5), 125−147. https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/578357/1/ManejoSustentavelFloresta.
SECOM – Secretaria de Comunicação do Estado do Pará (2021, June 8). Pará se destaca cada vez mais no cenário nacional de citrus, devido à inexistência de pragas. https://agenciapara.com.br/noticia/
28860/para-se-destaca-cada-vez-mais-no-cenario-nacional-de-citrus-devido-a-inexistencia-de-pragas de citrus, devido à inexistência de pragas. Agência Pará.
Silva, A. R., Cecon, P. R., Rêgo, E. R., & Nascimento, M. (2011). Avaliação do coeficiente de variação experimental para caracteres de frutos de pimenteiras. Revista Ceres, 58(2), 168−171. https://doi.org/10.1590/S0034-737X2011000200006
Silva, A. V. S., & Vieira, T. A. (2015). Agricultura e relações de gênero em uma comunidade rural de Santarém, Pará. Cadernos de Agroecologia, 10(3). https://revista.aba-agroecologia.org.br/cad/article/view/17654/13283
Silva, C. E. F., Gama, B. M. V., Oliveira, L. M. T. M., Araujo, L. T., Araujo, M. L., Oliveira Junior, A. M., & Abud, A. K. S. (2016). Uso da laranja lima e seus resíduos no desenvolvimento de novos produtos. Revista Brasileira de Engenharia de Biossistemas, 10(1), 69−96. https://doi.org/10.18011/bioeng2016v10n1p69-96
Singh, N., Sharma, R. M., Dubey, A. K., Awashi, O. P., Saha, S., Bharadwaj, C., Sharma, V. K., Sevanthi, A. M., Kumar, A., & Deepak. (2023). Citrus improvement for enhanced mineral nutrients in fruit juice through interspecific hybridization. Journal of Food Composition and Analysis, 119, Article 105259. https://doi.org/10.1016/j.jfca.2023.105259
Trethowan, R. M. (2014). Defining a genetic ideotype for crop improvement. In D. Fleury, D., & R. Whitford (Eds.), Crop breeding (pp. 1−20). Humana New York, NY. https://link.springer.com/protocol/10.1007/978-1-4939-0446-4_1
Yang, R.-C., Crossa, J., Cornelius, P. L., & Burgueño, J. (2009). Biplot analysis of genotype x environment interaction: proceed with caution. Crop Science, 49(5), 1564−1576. https://doi.org/10.2135/cropsci2008.11.0665
Yan, W. (2016). Analysis and handling of G x E in a practical breeding program. Crop Science, 56(5), 2106−2118. https://doi.org/10.2135/cropsci2015.06.0336
Yan, W. (2001). GGEbiplot − A windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal, 93(5), 1111−1118. https://doi.org/10.2134/agronj2001.9351111x
Yan, W. (2011). GGE biplot vs. AMMI graphs for genotype-by-environment data analysis. Journal of the India Society of Agricultural Statistics, 65(2), 181−193. https://www.researchgate.net/publication/304347399_GGE_biplot_vs_AMMI_graphs_for_genotype-by-environment_data_analysis
Yan, W., & Holland, J. B. (2010). A heritability-adjusted GGE biplot test environment evaluation. Euphytica, 171, 355–369.https://doi.org/10.1007/s10681-009-0030-5
Yan, W., Hunt, L. A., Sheng, Q., & Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Science, 40(3), 597−605. https://doi.org/10.2135/cropsci2000.403597x
Yan, W., & Kang, M. S. (2003). GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press. https://www.routledge.com/GGE-Biplot-Analysis-A-Graphical-Tool-for-Breeders-Geneticists-and-Agronomists/Yan-Kang/p/book/9780367454791?srsltid=AfmBOorI1NAD2K3YoHnY43du8eqIpDgZYjbALny2F7BqWlAeSPFrkIVu
Yan, W., Kang, M. S., Ma, B., Woods, S., & Cornelius, P. L. (2007). GGE biplots vs. AMMI analysis of genotype-by-environment data. Crop Science, 47(2), 643−653. https://doi.org/10.2135/cropsci2006.06.0374
Yan, W. (2002). Singular-value partitioning in biplot analysis of multi-environment trial data. Agronomy Journal, 94(5), 990−996. https://doi.org/10.2134/agronj2002.9900
Yan, W., & Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: principles and applications. Canadian Journal of Plant Science, 86(3), 623−645. https://doi.org/10.4141/P05-169
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