Multivariate analysis as a tool in the initial selections of golden flax (Linum usitatissimum L.)

Authors

DOI:

https://doi.org/10.5965/223811712132022247

Keywords:

genetic variability, genetic distance, correlation

Abstract

The genetic variability in plant populations can be estimated through multivariate analysis, which allows to analyze the genotypes based on a set of traits to identify the traits with the greatest influence for the divergence and the correlation between them. In this sense, the objective of the present work was to estimate the genetic divergence between golden flax lines using multivariate analysis for initial plant selections. For this purpose, 73 lines, in addition to the control, were tested in a randomized complete block design, with three replications, and traits of cycle, stature, and yield were measured. Twelve groups were obtained based on the Mahalanobis distance estimate and Tocher cluster, and the technical length was the most important trait for the dissimilarity. The line of group XI was promising, with early maturation and satisfactory seed productivity. The graphic of dispersion of the canonical variables showed the most divergent lines, and the greatest divergence was observed between groups III and IV. Multivariate analysis was an important tool for the initial choice of superior golden flax.

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References

ALLABY RG et al. 2005. Evidence of the domestication history of flax (Linum usitatissimum L.) from genetic diversity of

the sad2 locus. Theorical Applyed Genetic 112: 58-65.

BINDRA S & PAUL S. 2016. Genetic variability and association studies in linseed (Linum usitatissimum L.). The Bioscan 11: 1855-1859.

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

CRUZ CD et al. 2012. Modelos biométricos aplicados ao melhoramento genético. 4.ed. Viçosa: UFV.

CRUZ CD. 1990. Aplicação de algumas técnicas multivariadas no melhoramento de plantas Tese de doutorado. Doutorado em Genética e Melhoramento de Plantas. Piracicaba: USP. 188p.

DARAPUNENI MK et al. 2014. Effect of vernalization and photoperiod on flax flowering time. Euphytica 195: 279-285.

DIEDERICHSEN A & FU YB. 2006. Phenotypic and molecular (RAPD) differentiation of four infraspecific groups of cultivated flax (Linum usitatissimum L. subsp. usitatissimum). Genetic Resources Crop Evolution 53: 77-90.

DIEDERICHSEN A & ULRICH A. 2009. Variability in stem fibre content and its association with other characteristics in 1177 flax (Linum usitatissimum L.) genebank accessions. Industrial Crops and Products 30: 33-39

FAOSTAT. 2021. Crops and livestock products. Available at: < https://www.fao.org/faostat/en/#data/QCL>. Accessed at: 13 nov. 2021.

FLAX COUNCIL OF CANADA 2015. Growing flax: production, management and diagnostic guide. Flax Council of Canada.

FULKAR PL et al. 2007. Evaluation of linseed germplasm for genetic divergence and choice of parents. Journal Soils and Crops 17: 333-338.

GILL KS 1987. Linseed. New Delhi: Indian Council of Agricultural Research.

GRUZDEVIENÉ E et al. 2006. The effect of environmental conditions on the variation of fungi and mycotoxin contents in oil flax seed. Ekologija 2: 64-70.

HASEEB MT et al. 2016. Evaluation of superabsorbent linseed-polysaccharides as a novel stimuli-responsive oral sustained release drug delivery system. Drug Development and Industrial Pharmacy 43: 409-420.

IQBAL D et al. 2015. Correlation and path analysis for yield and yield components in linseed (Linum usitatissimum L.). Journal of Agricultural Research 54: 153-159.

KANWAR RR et al. 2014. Variability, heritability and genetic advance for yield and some yield related traits in linseed. Agricultural Science Digestion 34: 152-156.

KARIUKI LW et al. 2014. The growth and seed yield of five linseed varieties as influenced by nitrogen application. Journal of Animal and Plant Sciences 22: 99-112.

KOEPPEN W. 1948. Climatologia: con un studio de los climas de la tierra. Mexico: Fondo de Cultura Economica. 474p.

KUMAR M et al. 2021. Delineating multivariate divergence, heritability, trait association and identification of superior omega-3-fatty acid specific genotypes in linseed (Linum usitatissimum L.). Genetika 53: 825-849.

KUMAR S et al. 2018. Diversity Analysis in Linseed (Linum usitatissimum L.). International Journal Current Microbiology Applied Science 7: 790-794.

KUMAR A et al. 2017. Genetic diversity (D2) analysis in Linseed (Linum usitatissimum L.). Journal of Pharmacognosy and Phytochemistry 6: 886-888.

LEITCH MH & SAHI F. 1999. The effect of plant spacing on growth and development in linseed. Association of Applied Biology 138: 529-534.

BRASIL. 2021. Ministério da Agricultura, Pecuária e Abastecimento. CultivarWeb. Registro Nacional de Cultivares (RNC). Disponível em: < https://sistemas.agricultura.gov.br/snpc/cultivarweb/cultivares_registradas.php>. Acesso em: 13 nov. 2021.

PIMENTEL GOMES F. 1985. Curso de Estatística Experimental. 12.ed. Piracicaba: Livraria Nobel. 467p.

ROSSI E et al. 2014. Influência da densidade de plantio no crescimento de linhaça marrom. Revista Monografias Ambientais 13: 3523-3528.

OLKIN I & SAMPSON AR 2001. Multivariate Analysis: Overview. International Encyclopedia of the Social & Behavioral Sciences 15: 10233-10240.

SINGH PK. 2016. Status paper on linseed/flax agriculture. In: HEGDE M. et al. Omega-3 Fatty Acids. Switzerland: Springer.

SINGH D. 1981. The relative importance of characters affecting genetic divergence. Indian Journal of Genetic and Plant Breeding 41: 237-245.

YOU FM et al. 2016. Pedigrees and genetic base of flax cultivars registered in Canada. Canadian Journal of Plant Science 96: 837-852.

ZAJAC T. 2004. Analysis of linseed (Linum usitatissimum L.) plant branching as related to variability and interdependence of traits. Acta Agrobotanica 57: 187-205.

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Published

2022-10-19

How to Cite

FIOREZE, Ana Carolina da Costa Lara; PARIZOTTO, Cirio; ORSI, Nicole; KONKOL, Ana Caroline Basniak. Multivariate analysis as a tool in the initial selections of golden flax (Linum usitatissimum L.). Revista de Ciências Agroveterinárias, Lages, v. 21, n. 3, p. 247–255, 2022. DOI: 10.5965/223811712132022247. Disponível em: https://periodicos.udesc.br/index.php/agroveterinaria/article/view/21610. Acesso em: 9 dec. 2024.

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Section

Research Article - Science of Plants and Derived Products

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