Identification of morphoagronomic traits correlated with the N use efficiency in coffee

Waldenia de Melo Moura; Poliane Marcele Ribeiro; Luciana Gomes Soares; Antônio Carlos da Silva Júnior; Tatiane Cravo Ferreira; Geraldo de Amaral Gravina; Hermínia Emília Prieto Martinez

doi:10.25186/.v20i.2303

Authors

Waldenia de Melo Moura Empresa de Pesquisa Agropecuária de Minas Gerais/EPAMIG Sudeste, Viçosa/MG, Brasil. https://orcid.org/0000-0002-5272-6837
Poliane Marcele Ribeiro Empresa de Assistência Técnica e Extensão Rural do Estado Minas Gerais/Emater, Visconde do Rio Branco/MG, Brasil. https://orcid.org/0000-0002-6312-8824
Luciana Gomes Soares Empresa de Pesquisa Agropecuária de Minas Gerais/EPAMIG Sudeste, Viçosa/MG, Brasil. https://orcid.org/0000-0002-5628-6250
Antônio Carlos da Silva Júnior Empresa de Pesquisa Agropecuária de Minas Gerais/EPAMIG Sudeste, Viçosa/MG, Brasil. https://orcid.org/0000-0002-4200-6182
Tatiane Cravo Ferreira John Deere, Indaiatuba/SP, Brasil. https://orcid.org/0000-0002-2551-2809
Geraldo de Amaral Gravina Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes/RJ, Brasil. https://orcid.org/0000-0002-1044-5041
Hermínia Emília Prieto Martinez Universidade Federal de Viçosa, Departmento de Fitotecnia, Viçosa/MG, Brasil. https://orcid.org/0000-0002-2184-374X

DOI:

https://doi.org/10.25186/.v20i.2303

Abstract

The study of nutritional efficiency is an expensive process, as it requires extensive planting areas, several years of evaluation and the destruction of plants. To mitigate these difficulties, a strategy would be to identify easily measurable traits associated with nutritional efficiency in growing a nutritional solution. Thus, the objective of this study was identify morphoagronomic traits correlated with the N-efficiency indices in to assist in selecting coffee genotypes for environments with N restriction. Twenty arabica coffee genotypes were grown in a nutrient solution with a low concentration of nitrogen (1.0 mmol L-1). The experiment was conducted in a randomized block design with three replications. There was variability among the coffee genotypes for all the traits evaluated. Most of the traits evaluated showed greater genetic than environmental influence on phenotypic expression. Heritability (H2) was greater than 70% for most of the traits evaluated, with an emphasis on plant height and internode length, which also had the highest relative variation indices (RVIs).
The associations between morphoagronomic traits and nutritional efficiency indices revealed greater contributions of genotypic correlation than of environmental correlation. Among the traits associated with nutritional efficiency indices, stem diameter has the potential for use in breeding programs for the selection of cultivars that present greater nitrogen efficiency in environments with nitrogen restriction.

Key words: Coffea arabica; genetics parameters; indirect selection; mineral nutrition; plant breeding.

References

BAILIAN, L.; MCKEAND, S. E; ALLEN, H. L. Genetic variation in nitrogen use efficiency of lobeolly pine seedlings. Forest Science, 37:613-626, 1991.

BOTE, A. D. B. et al. Analysis of coffee (Coffea arabica L.) performance in relation to radiation levels and rates of nitrogen supply I. Vegetative growth. production and distribution of biomass and radiation use efficiency. European Journal of Agronomy, 92:115-122, 2018.

CANNAVO, P. et al. Low nitrogen use efficiency and high nitrate leaching in a highly fertilized Coffea arabica - Inga densiflora agroforestry system: a 15N labeled fertilizer study. Nutrient Cycling in Agroecosystems, 95:377-394, 2013.

CARIAS, C. M. O. M. et al. Prediction of genetic gains by mixed models in conilon coffee progenies. Coffee Science, 11(1):39-45, 2016.

CARVALHO, A. M. et al. Correlação entre crescimento e produtividade de cultivares de café em diferentes regiões de Minas Gerais, Brasil. Pesquisa Agropecuária Brasileira, 45:269-275, 2010.

CRUZ, C. D. Genes Software - extended and integrated with the R, Matlab Selegen. Acta Scientiarum Agronomy, 38(4):547-552, 2016.

CRUZ, C. D.; REGAZZI, A. J.; CARNEIRO, P. C. S. Modelos biométricos aplicados ao melhoramento genético. Viçosa, Minas Gerais: UFV, 2012. 514p.

DOCHTERMANN, N. A. et al. The heritability of behavior: A Meta-analysis. Journal of Heredity, 110:403-410, 2019.

DUBBERSTEIN, D. et al. Biometric traits as a tool for the identification and breeding of Coffea canephora genotypes. Genetics and Molecular Research, 19(2):1-17, 2020.

EMPRESA BRASILEIRA DE PESQUISA AGROPECUÁRIA - EMBRAPA. Manual de análises químicas de solos, plantas e fertilizantes. Brasília: EMBRAPA, 2009. 624p.

FALCONER, D. S. Introduction to quantitative genetics. Edimburgh, Scotland, 1960. 480p.

GABELMAN, W. H.; GERLOFF, G. C. The search for and interpretation of genetic controls that enhance plant growth under deficiency levels of a macronutrient. Plant Soil, 72:335-350, 1983.

GOMES, F. P. Curso de estatística experimental. São Paulo: Nobel, 1985. 466p.

HOAGLAND, D. R.; ARNON, D. I. The water culture method for growing plants without soils. California Agricultural Experimental Station, University of California, Berkely, 1950 (Circular 347). Available in: <https://www.nutricaodeplantas.agr.br/site/downloads/hoagland_arnon.pdf> Acess in 26 may 2024.

KHALAJABADI, S .S. Boletín técnico del fertilidad del suelo y nutrición del café en Colombia (32). Chinchina: Caldas, 2008. Available in: <http://www.cenicafe.org/es/publications/bot032.pdf>. Access in: 20 may 2024.

LEAL, L.; SALAMANCA-JIMENEZ, A.; SADEGHIAN, S. Urea Volatilization Losses from Coffee Plantations. Better Crops, 94:18-20, 2010.

LIU, X.; HU, B.; CHU, C. Nitrogen assimilation in plants: Current status and future prospects. Journal of Genetics and Genomics, 49(5):394-404, 2022.

LUO, L.; ZHANG, Y.; XU, G. How does nitrogen shape plant architecture?. Journal of Experimental Botany, 71:4415-4427, 2020.

MINISTÉRIO DA AGRICULTURA PECUÁRIA E ABASTECIMENTO - MAPA. O plano nacional de fertilizante. Brasília: MAPA, 2022. Available in: <https://www.gov.br/agricultura/pt-br/assuntos/insumos-agropecuarios/insumos-agricolas/fertilizantes/plano-nacional-de-fertilizantes/o-plano-nacional-de-fertilizantes> Acess in 26 may 2024.

MARTINEZ, H. E. P. et al. Crescimento vegetativo de cultivares de café (Coffea arabica L.) e sua correlação com a produção em espaçamentos adensados. Acta Scientiarum Agronomy, 29:41‑489, 2007.

MARTINEZ, H. E. P. et al. Differential tolerance to zinc deficiency in coffee-plant progenies. Journal of Plant Nutrition, 34:1654-1674, 2011.

MARTINEZ, H. E. P. et al. Mineral nutrition and fertilization. In: FARAH, A. Coffee: Production, quality and chemistry. Cambridge, England, Royal Society of Chemistry, 2019, p. 163-201.

MARTINEZ, H. E. P. et al. Water deficit changes nitrate uptake and expression of some nitrogen related genes in coffee-plants (Coffea arabica L.). Scientia Horticulturae 267:109254, 2020.

MARTINEZ, H. E. P. et al. Efficiency of absortion, translocation, and use of nitrogen by water-stressed coffee, Acta Scientiarum Agronomy, 46:e62923, 2024.

MOREIRA, P. C. et al. Progeny selection to develop a sustainable arabica coffee cultivar. Agronomy, 12:1144, 2022.

MOURA, W. M. et al. Genetic diversity in arabica coffee grown in potassium-constrained environment. Ciência e Agrotecnologia, 39(1):23-31, 2015.

MOURA, W. M. et al. Biometric analysis of arabica coffee grown in low potassium nutrient solution under greenhouse conditions. Genetics and Molecular Research, 15(3):1-10, 2016.

MOURA, W. M. et al. Variability in the production traits and nutritional efficiency of coffee cultivars when submitted to low soil nitrogen. Genetics and Molecular Research, 18:1-12, 2019.

MU, X.; CHEN, Y. The physiological response of photosynthesis to nitrogen deficiency. Plant Physiology and Biochemistry, 58:76-82, 2021.

NETO, A. P. et al. Analysis of phosphorus use efficiency traits in Coffea genotypes reveals Coffea arabica and Coffea canephora have contrasting phosphorus uptake and utilization efficiencies. Frontiers in Plant Science, 7:e408, 2016.

PEDROSA, A. W. et al. Crescimento de cultivares de café em resposta a doses contrastantes de zinco. Coffee Science, 8(3):295-305, 2013.

PIEPHO, H. P. Allowing for the structure of a designed experiment when estimating and testing trait correlations. The Journal of Agricultural Science, 156(1):59-70, 2018.

RODRIGUES, W. N. et. al. Biometry and diversity of Arabica coffee genotypes cultivated in a high density plant system. Genetics and Molecular Research, 15:1-12, 2016.

SEBBENN, A. M. et al. Parâmetros genéticos na conservação da cabreúva – Myroxylon peruiferum LF Allemão. Scientia Forestalis, 53:31-38, 1998.

SIDDIQI, M. Y.; GLASS, A. D. M. Utilization index: A modified approach to the estimation and comparison of nutrient utilization efficiency in plants. Journal of Plant Nutrition, 4:289-302, 1981.

SILVA, A. R. et al. Correlation network analysis between phenotypic and genotypic traits of chili pepper. Pesquisa Agropecuária Brasileira, 51(4):372-377, 2016.

SILVA-JUNIOR, A. C. et al. Computational intelligence and machine learning to study the importance of traits in flood-irrigated rice. Acta Scientiarum-Agronomy, 45:e57209, 2021.

VAN DER VOSSEN, H.; BERTRAND, B.; CHARRIER, A. Next generation variety development for sustainable production of arabica coffee (Coffea arabica L.): A review. Euphytica, 204(2):243-256, 2015.

VILELA, D. J. M. et al. Nutritional efficiency in phosphorus of arabica coffee genotypes. Coffee Science, 16:e161831, 2021.

Identification of morphoagronomic traits correlated with the N use efficiency in coffee

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