Characterization of rice genotypes used in Brazil regarding salinity tolerance at the seedling stage
DOI:
https://doi.org/10.5965/223811712132022256Keywords:
abiotic stress, agronomic traits, genetic diversity, heritability, Oryza sativa L.Abstract
Rice production (Oryza sativa L.) is among the most economically important activities in the world. However, soil and salinity coming from irrigation water reduce rice yield. Therefore, the identification and/or development of salt-tolerant rice genotypes is a strategy to minimize this problem. The development of new genotypes depends on the presence of genetic diversity, and understanding the heritability of a desired trait can help in the selection process. Thus, this study aimed to identify superior genotypes, analyze the genetic diversity and estimate the heritability for salinity tolerance at the seedling stage in rice genotypes used in Brazil. For this, seedlings of 69 genotypes were kept in hydroponic solution with 40 mM NaCl (4 dSm-1) for seven days. Shoot length, root length, shoot dry weight, and root dry weight) were evaluated and the results were converted into relative performance. Tolerant and moderately salt-tolerant genotypes were identified at the seedling stage, which can be used in breeding programs and can be cultivated in high salinity areas. Principal component analysis showed the presence of genetic diversity for salinity response. Finally, it was shown that most of the observed variation is of genetic origin, which can make the breeding process less difficult.
Downloads
References
ALI MN et al. 2014. Screening of rice landraces for salinity tolerance at seedling stage through morphological and molecular markers. Physiology and Molecular Biology of Plants 20: 411-423.
DE LEON TB et al. 2015. Genetic variation in Southern USA rice genotypes for seedling salinity tolerance. Frontiers in Plant Science 6: 374.
DENARDIN LGO et al. 2020. Using water with different levels of salinity by paddy fields: a Brazilian case study. Communications in Soil Science and Plant Analysis 51: 2821-2829.
EMON RM et al. 2015. Genetic diversity and association mapping for salinity tolerance in Bangladeshi rice landraces. The Crop Journal 3: 440-444.
FAGERIA NK et al. 1990. Iron nutrition of plants: an overview on the chemistry and physiology of its deficiency and toxicity. Pesquisa Agropecuária Brasileira 25: 553-570.
GREGORIO GB & SENADHIRA D. 1993. Genetic analysis of salinity tolerance in rice (Oryza sativa L.). Theoretical and Applied Genetics 86: 333-338.
GREGORIO GB et al. 1997. Screening rice for salinity tolerance. IRRI Discussion Paper Series. Nº 22, Manila, Philippines: International Rice Research Institute.
HOANG TML et al. 2016. Improvement of Salinity Stress Tolerance in Rice: Challenges and Opportunities. Agronomy 6: 54.
KAKAR N et al. 2019. Evaluating rice for salinity using pot-culture provides a systematic tolerance assessment at the seedling stage. Rice 12: 57.
KANAWAPEE N et al. 2011. Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers. Electronic Journal of Biotechnology 14: pp.2-2.
MOHAMMADI R et al. 2014. Genetic analysis of salt tolerance at seedling and reproductive stages in rice (Oryza sativa). Plant Breeding 133: 548-559.
OLIVEIRA VF et al. 2021. Assessing mineral and toxic elements content in rice grains grown in southern Brazil. Journal of Food Composition and Analysis 100: 103914.
PIEPHO HP & MÖHRING J. 2007. Computing heritability and selection response from unbalanced plant breeding trials. Genetics 177: 1881-1888.
PURAM VRR et al. 2017. Genetic Dissection of Seedling Stage Salinity Tolerance in Rice Using Introgression Lines of a Salt Tolerant Landrace Nona Bokra. Journal of Heredity 108: 658-670.
R CORE TEAM 2020. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna: The R Foundation.
ROBINSON HF et al. 1951. Genotypic and phenotypic correlation in corn and their implications in selection. Agronomy Journal 43: 282-287.
REDDY INBL et al. 2017. Salt Tolerance in Rice: Focus on Mechanisms and Approaches. Rice Science 24: 123-144.
ROY SC & SHIL P. 2020. Assessment of Genetic Heritability in Rice Breeding Lines Based on Morphological Traits and Caryopsis Ultrastructure. Scientific Reports 10: 7830.
SINGH RK et al. 2021a. Salt tolerance in rice: seedling and reproductive stage QTL mapping come of age. Theoretical and Applied Genetics 134: 3495-3533.
SINGH HP et al. 2021b. Estimation of genetic diversity and its exploitation in plant breeding. The Botanical Review. 23p.
TEJEDA LHC et al. 2020. Abiotic stress and self-destruction: ZmATG8 and ZmATG12 gene transcription and osmotic stress responses in maize. Biotechnology Research and Innovation 3: 1-9.
YOSHIDA S. 1981. Fundamentals of rice crop science. Phillippines: The International Rice Research Institute. 269p.
WANG Y et al. 2013. Effect of Regulatory Architecture on Broad versus Narrow Sense Heritability. PLOS Computational Biology 9: e1003053.
WRAY N & VISSCHER P. 2008. Estimating trait heritability. Nature Education. 1: 29.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Authors & Revista de Ciências Agroveterinárias
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors publishing in this journal are in agreement with the following terms:
a) Authors maintain the copyrights and concede to the journal the copyright for the first publication, according to Creative Commons Attribution Licence.
b) Authors have the authority to assume additional contracts with the content of the manuscript.
c) Authors may supply and distribute the manuscript published by this journal.
