Multivariate selection of optimal genotypes within mutant populations of bean

Authors

  • Rodolfo Schmit Universidade do Estado de Santa Catarina (UDESC) - Centro de Ciências Agroveterinárias (CAV)
  • Rita Carolina de Melo Universidade do Estado de Santa Catarina, Lages, SC, Brasil.
  • Nicole Trevisani Universidade do Estado de Santa Catarina, Lages, SC, Brasil.
  • Jefferson Luís Meirelles Coimbra Universidade do Estado de Santa Catarina, Lages, SC, Brasil.
  • Altamir Frederico Guidolin Universidade do Estado de Santa Catarina, Lages, SC, Brasil.

DOI:

https://doi.org/10.5965/223811711732018472

Keywords:

Phaseolus vulgaris L., standardized canonical coefficients, induced mutation

Abstract

Induction of mutation is a strategy widely used in plant breeding programs, providing the creation of genetic variability for many characteristics of agronomic importance. The aim of this study was to select promising genotypes within mutant populations of agronomically promising beans (Phaseolus vulgaris L.), in the agricultural year 2009/10 and 2010/11, in Lages, SC. Forty mutant bean populations derived from 60Co gamma irradiation at doses of 100 and 200 Grays were evaluated. The genotypes subjected to induced mutation were Pérola, Iapar_81, IPR Uirapuru and IPR Chopim. This study used a randomized block design, with three replicates. Multivariate analysis of variance and canonical discriminant analysis were performed to explore the hypotheses. Multivariate contrasts between the mutant populations and their original populations were conducted to test the hypotheses. Multivariate analysis of variance showed significant effect of mutant populations according to crop year. Variability was also detected within the mutant population. These results show the efficiency of the mutagen in creating variability. The PMP_100 and PMC_200 mutant populations were selected due to showing a promising performance for the characteristics stem diameter, thousand-grain mass and grain yield. Within the selected mutant populations was detected genetic variability that can contribute to effective selection. The PMP_100 and PMC_200 populations must be conducted and further selected plant-by-plant to obtain promising genotypes.

 

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References

AHLOOWALIA BS & MALUSZYNSKI M. 2001. Induced mutation: a new paradigm plant breeding. Euphytica 118: 167-173.

BARILI LD et al. 2011. Correlação fenotípica entre componentes do rendimento de grãos de feijão comum (Phaseolus vulgaris L.). Semina: Ciências Agrárias 32: 1263-1274.

BERTINI CHCM et al. 2010. Análise multivariada e índice de seleção na identificação de genótipos superiores de feijão-caupi. Acta Scientiarum. Agronomy 32: 613-619.

CASTRO AFNM et al. 2013. Análise multivariada para seleção de clones de eucalipto destinados à produção de carvão vegetal. Pesquisa Agropecuária

Bbrasileira 48: 627-635.

CHARLESWORTH D & WILLIS JH. 2009. The genetics of inbreeding depression. Nature Reviews Genetics 10: 783-796.

FILIPPETTI A & PACE E. 1986. Improvement of seed yield in Vicia faba L. by using experimental mutagenisis. II. Comparasion of gamma-radiation and Ethil-metane Sulphonate (EMS) in production of morphological mutants. Euphytica 35: 49-56.

HAIR JFJ et al. 2009. Análise multivariada de dados. 6.ed. Porto Alegre: Bookman. 688p.

JOHANNSEN W. 1911. The Genotype Conception of Heredity. The American Naturalist 45: 129-159.

KEIGHTLEY PD & HALLIGAN DL. 2009. Analysis and implications of mutational variation. Genetica 136: 359-369.

KUMAR V et al. 2009. Characterization of Pre-breeding Genetic Stocks of Urdbean (Vigna mungo L. Hepper) Induced Through Mutagenesis. In: SHU QY. Induced Plant Mutations in the Genomics Era. Rome: Food and Agriculture Organization of the United Nations 103: 391-394.

ROCHA F et al. 2009. Seleção em populações mutantes de feijão (Phaseolus vulgaris L.) para caracteres adaptativos. Revista Biotemas 22: 19-27.

SIGURBJÖRNSSON B. 1977. Mutations in plant programmes. In: International Atomic Energy Agency: Manual on Mutation Breeding. 2.ed. Vienna: IAEA. p.1- 6.

SHEHZAD T et al. 2011. Agronomic and molecular evaluation of induced mutant rice (Oryza sativa L.) lines in Egypt. Pakistan Journal of Botany 43: 1183-1194.

SHIKAZONO N et al. 2005. Analysis of mutations induced by carbon ions in Arabidopsis thaliana. Journal of Experimental Botany 56: 587-596.

TANAKA A et al. 2010. Studies on biological effects of ion beams on lethality, molecular nature of mutation, mutation rate, and spectrum of mutation phenotype for mutation breeding in higher plants. Journal of Radiation Research 51: 223–233.

TEVINI ME & TERAMURA AH. 1989. UV-B effects on terrestrial plants. Photochemistry and Photobiology 50: 479-487.

THEERAWITAYA C et al. 2011. Genetic variations associated with salt tolerance detected in mutants of KDML105 (Oryza sativa L. spp. indica) rice. Australian Journal of Crop Science 5: 1475-1480.

YEATER KM et al. 2015. Multivariate Analysis: Greater Insights into Complex Systems. Agronomy Journal 107: 799-810.

WANG HH et al. 2011. Comparisons of a-amylase inhibitors from seeds of common bean mutants extracted through three phase partitioning. Food Chemistry 128: 1066-1071.

Published

2018-11-14

How to Cite

SCHMIT, Rodolfo; MELO, Rita Carolina de; TREVISANI, Nicole; COIMBRA, Jefferson Luís Meirelles; GUIDOLIN, Altamir Frederico. Multivariate selection of optimal genotypes within mutant populations of bean. Revista de Ciências Agroveterinárias, Lages, v. 17, n. 4, p. 472–480, 2018. DOI: 10.5965/223811711732018472. Disponível em: https://www.revistas.udesc.br/index.php/agroveterinaria/article/view/9936. Acesso em: 6 nov. 2024.

Issue

Section

Research Article - Science of Plants and Derived Products

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