Partial correlations between production traits and grain protein in wheat

Authors

DOI:

https://doi.org/10.1590/1983-21252024v3712312rc

Keywords:

Triticum aestivum L. Linear relations. Grain yield.

Abstract

The objective of this study was to check whether there are linear relations between production traits and grain protein in early-, medium- and late-cycle wheat. Data from 204 competition trials of wheat genotypes conducted in the states of Rio Grande do Sul and Paraná were used, 78 trials with early-cycle, 34 with medium-cycle and 92 with late-cycle genotypes. The trials were conducted in a randomized block design, with 149 early-cycle, 95 medium-cycle and 193 late-cycle genotypes being evaluated from 2015 to 2019. Three production traits (grain yield, in kg ha-1, thousand-grain weight, in g, and hectoliter weight, in kg hL-1) and grain protein, in %, were evaluated. Scatter plots were created and the partial correlation coefficients between these four traits were calculated, based on 4330, 2497 and 4714 observations, referring to the early, medium and late cycles, respectively. There are linear relations between production traits and grain protein in early-, medium- and late-cycle wheat. Early- and late-cycle wheat genotypes show a negative correlation between grain yield and grain protein. Medium-cycle wheat genotypes show no correlation between grain yield and grain protein. Selection of wheat genotypes with higher grain yield and hectoliter weight can be carried out indirectly by means of thousand-grain weight.

Downloads

Download data is not yet available.

References

BAYE, A. et al. Genotypic and phenotypic correlation and path coefficient analysis for yield and yield-related traits in advanced bread wheat (Triticum aestivum L.) lines. Cogent Food & Agriculture, 6: 1-17, 2020.

BUSSAB, W. O.; MORETTIN, P. A. Estatística Básica. 9. ed. São Paulo, SP: Saraiva, 2017. 554 p.

CARVALHO, I. R. et al. Correlações canônicas entre caracteres morfológicos e componentes de produção em trigo de duplo propósito. Pesquisa Agropecuária Brasileira, 50: 690-697, 2015.

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

CRUZ, C. D.; REGAZZI, A. J. CARNEIRO, P. C. S.; Modelos biométricos aplicados ao melhoramento genético. 4. ed. Viçosa, MG: UFV, 2012. 514 p.

GIANCASPRO, A. et al. Genetic variation for protein content and yield-related traits in a durum population derived from an inter-specific cross between hexaploid and tetraploid wheat cultivars. Frontiers in Plant Science, 10: 1509, 2019.

JANMOHAMMADI, M. et al. Path analysis of grain yield and yield components and some agronomic traits in bread wheat. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 62: 945-952, 2014.

KAUR, A. et al. Physicochemical and rheological properties of starch and flour from different durum wheat varieties and their relationships with noodle quality. Journal of Food Science and Technology, 4: 2127-2138, 2016.

KAVALCO, S. A. F. et al. Análise de trilha em genótipos de trigo submetidos ao estresse por encharcamento. Semina: Ciências Agrárias, 35: 1683-1695, 2014.

KIM, S. ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients. Communications for Statistical Applications and Methods, 22: 665-674, 2015.

LIU, Y. et al. Genome-wide linkage mapping of quantitative trait loci for late-season physiological and agronomic traits in spring wheat under irrigated conditions. Agronomy, 8: 1-25, 2018.

LORO, M. V. et al. Wheat grain biofortification for essential amino acids. Pesquisa Agropecuária Brasileira, 58: e02860, 2023.

LYU, X. et al. Foliar applications of various nitrogen (N) forms to winter wheat affect grain protein accumulation and quality via N metabolism and remobilization. The Crop Journal, 10: 1165-1177, 2022.

MANTAI, R. D. et al. Nitrogen levels in oat grains and its relation to productivity. Genetics and Molecular Research, 19: gmr18569, 2020.

MICHEL, S. et al. Simultaneous selection for grain yield and protein content in genomics‑assisted wheat breeding. Theoretical and Applied Genetics, 132: 1745-1760, 2019.

MONAGHAN, J. M. et al. The use of grain protein deviation for identifying wheat cultivars with high grain protein concentration and yield. Euphytica, 122: 309-317, 2001.

NIGRO, D. et al. Candidate genes and genome-wide association study of grain protein content and protein deviation in durum wheat. Planta, 249: 1157-1175, 2019.

R CORE TEAM. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available at: https://www.R-project.org. 2023.

SEGATTO, T. A. et al. Adaptability and stability of wheat genotypes for the expression of amino acids in their grains. Agropecuária Catarinense, 35: 82-89, 2022.

SEGATTO, T. A. et al. Interrelations with the nutritional and technological characters of wheat grains. Revista Brasileira de Agropecuária Sustentável, 13: 1-15, 2023.

SILVA, C. L. et al. Seleção de genótipos de trigo para rendimento de grãos e qualidade de panificação em ensaios multiambientes. Revista Ceres, 62: 360-371, 2015.

SOLOMON, T. Correlation and path coefficient studies on advanced bread wheat lines in Ethiopia. Cell Biology, 9: 1-20, 2021.

SZARESKI, V. J. et al. Genetic and phenotypic multi-character approach applied to multivariate models for wheat industrial quality analysis. Genetics and Molecular Research, 18: gmr18223, 2019.

TAIZ, L. et al. Fisiologia e desenvolvimento vegetal. 6. ed. Porto Alegre, RS: Artmed, 2017. 888 p.

THORWARTH, P. et al. Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population. Theoretical and Applied Genetics, 132: 489-500, 2019.

THORWARTH, P. et al. Higher grain yield and higher grain protein deviation underline the potential of hybrid wheat for a sustainable agriculture. Plant Breed, 137: 129-787, 2018.

WICKHAM, H. ggplot2: Elegant graphics for data analysis. 2. ed. New York: Springer-Verlag, 2016. 260 p.

WIEGMANN, M. Wild barley serves as a source for biofortification of barley grains. Plant Science, 283: 83-94, 2019.

Downloads

Published

01-02-2024

Issue

Section

Scientific Article