ANALYSIS OF SEXUAL PREDOMINANCE OF SUGARCANE PARENTS USING R SOFTWARE

Authors

  • Emanuel Araujo do Nascimento UFAL
  • Wedja Barbosa Ferreira
  • Paulo Pedro da Silva
  • Carlos Assis Diniz
  • João Messias dos Santos

DOI:

https://doi.org/10.28998/rca.22.18466

Keywords:

Sacharum spp., pollen viability, genetic breeding

Abstract

The objective was to analyze the sexual predominance of sugarcane genotypes using the R software. The study was conducted at the Serra do Ouro Flowering and Crossing Station, in Murici, AL, with inflorescences from 20 parent plants collected at anthesis between March and July 2024. Samples were prepared with Lugol, and microscopic images were captured and processed using the pliman package in R for automatic determination of pollen viability. Significant variation was observed in the percentages of viable pollen, ranging from 23.1% to 95.2%, with an average of 69.4%. The use of R software shows promise in determining the sexual classification of sugarcane varieties and contributes to more efficient cross-breeding planning in plant breeding programs.

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References

Amaral, A. L.; Santos, J. M.; Camara, T. M. M.; Barbosa, G. V. S. Metodologia de conservação de pólen de cana-de-açúcar. Aracaju: Embrapa Tabuleiros Costeiros, 2012.

Ascari, L.; Novara, C.; Dusio, V.; Oddi, L.; Siniscalco, C. Quantitative methods in microscopy to assess pollen viability in different plant taxa. Plant Reproduction, 2020, 33, 205-219.

Ayenan, M. A. T.; Danquah, A.; Ampomah-Dwamena, C.; Hanson, P.; Asante, I. K.; Danquah, E. Y. Optimizing PollenCounter for high throughput phenotyping of pollen quality in tomatoes. MethodsX, 2020, 7, 100977.

Cursi, D. E.; Benício, M. S.; Silva, J. F.; Balsalobre, T. W. A.; Santos, J. M.; Barbosa, G. V. S. History and current status of sugarcane breeding, germplasm development, and molecular genetics in Brazil. Sugar Tech, 2022, 24, 112-133.

Dafni, A. Pollination ecology: a practical approach. Publisher, 1992.

Gómez, A. F. Caña de azúcar. 2. ed. Caracas: Edicampa, 1962.

Melloni, M. L. G.; Oliveira, A. F.; Lopes, M. A.; Monteiro, P. S.; Santos, J. F. Selfing rate estimation in sugarcane under unfavorable natural conditions of crossing by using microsatellite markers. Genetics and Molecular Research, 2014, 13, 2278-2289.

Olivoto, T. Lights, camera, pliman! An R package for plant image analysis. Methods in Ecology and Evolution, 2022, 13, 789-798.

Padilha, K. S. M. A.; Silva, M. A.; Torres, R. C.; Costa, A. M. Use of image analysis in the evaluation of radicular nodules in chickpeas. Caderno Pedagógico, 2024, 21, e7318-e7318.

Zhang, C. J.; Liu, H.; Yang, R.; Wu, S. DeepPollenCount: a swin-transformer-YOLOv5-based deep learning method for pollen counting in various plant species. Aerobiologia, 2024, 1-12.

Published

2024-11-23

Issue

Section

VIII Semana da Agronomia - 1º Concurso científico