Identification of best segregating family of NSIC Rc222/jumbo jet under salt stress at reproductive stage for use as a mapping population

Main Article Content

Ordonio, J. L.
Vergara, G. V.
Gregorio, G. B.

Abstract

From the cross between the salt-tolerant rice landrace Jumbo Jet and the high yielding salt-sensitive variety NSIC Rc222, ten BC1F2 families were grown and evaluated for reproductive stage salt tolerance at International Rice Research Institute. Salt was applied to achieve an electrical conductivity of 6 dS/m during panicle initiation stage (60 days after sowing). Results of the salinity evaluation score showed wide variation in phenotypes among the ten BC1F2 families ranging from 3 to 8. The most saline tolerant families were T109284 (BC1F2-JJ10-P2) and T109285 (BC1F2-JJ10-P3) with salinity evaluation scores of 4 and 3, respectively, while the most sensitive to salt stress were T109286 (BC1F2-JJ10-P2), T109288 (BC1F2-JJ10-P2) and T109289 (BC1F2-JJ10-P2) scoring 8. Clear segregation pattern was observed in four families (T109282 (BC1F2-JJ04-P1), T109287 (BC1F2-JJ15-P3), T109290 (BC1F2-JJ29-P1) and T109291 (BC1F2-JJ29-P2)), showing susceptible and tolerant plants within the family. However, segregation pattern was most pronounced in T109290 (BC1F2-JJ29-P1), making it the best segregating family suited for use as a mapping population. The following traits were also evaluated at the reproductive stage: days to flowering, plant height, number of panicles, number of fertile spikelets, number of sterile spikelets, spikelet fertility, 100-grain weight and grain yield. The analysis of variance revealed significant differences between parents and among ten BC1F2 families for almost all traits except for the number of panicles and grain yield. Results also showed that among the eight parameters evaluated, grain yield was the most severely affected, and the reduction of number of fertile spikelets and spikelet fertility are the primary causes of yield loss. Based on correlation analysis, number of fertile spikelets and spikelet fertility have strong positive correlation with grain yield, hence, these traits are the most important traits contributing to grain yield of rice.

Article Details

How to Cite
Ordonio, J. L., Vergara, G. V., & Gregorio, G. B. (2018). Identification of best segregating family of NSIC Rc222/jumbo jet under salt stress at reproductive stage for use as a mapping population. International Journal of Agricultural Technology, 14(7), 1561–1574. retrieved from https://li04.tci-thaijo.org/index.php/IJAT/article/view/8667
Section
Original Study

References

Abdullah, Z., Khan, M. A. and Flowers, T. J. (2001). Causes of sterility in seed set in rice under salinity stress. Journal of Agronomy and Crop Science. 187:25-32.

Ashraf, M. (2009). Biotechnological approach of improving plant salt tolerance using antioxidants as markers. Biotechnology Advances. 27:84-93.

Beavis, W. (1998). QTL analyses: power, precision and accuracy. In: Paterson A.H, editor. Molecular dissection of complex traits. CRC Press; Boca Raton, FL.

Castillo, E., To, P. T., Huynh, T. T., Thai, N. H. T. and Tran, T. K. P. (2003). Phenological and physiological responses of a rice cultivar to level and timing of salinity stress. ACIAR Technical Report. 52e:89-101.

Collard, B. C. Y., Jahufer, M. Z. Z., Brouwer, J. B. and Pang, E. C. K. (2005). An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: the basic concepts. Euphytica. 142:169-196.

Doerge, R. W. (2002). Mapping and analysis of quantitative trait loci in experimental populations. Nature Reviews, Genetics. 2:43-52.

Eynard, A., Lal, R., Wiebe, K. (2005). Crop response in salt-affected soils. Journal of Sustainable Agriculture. 27:5-50.

Fabre, D., Siband, P. and Dingkuhn, M. (2005). Characterizing stress effects on rice grain development and filling using grain weight and size distribution. Field Crops Research. 92:11-16.

Flowers, T. J. (2004). Improving crop salt tolerance. Journal of Experimental Botany. 55:307-319.

Gregorio, G. B., Senadhira, D. and Mendoza, R. D. (1997). Screening rice for salinity tolerance. IRRI Discussion Paper Series no. 22. Manila (Philippines): International Rice Research Institute. pp. 1-30.

Khatun, S., Rizzo, C. A. and Flowers, T. J. (1995). Genotypic variation in the effect of salinity on fertility in rice. Plant and Soil. 173:239-250.

Mohanrao, M. M. and Deepak, P. (2015). Mapping Population: Types and Method of Production. Retrieved from http://www.biotecharticles.com/Genetics-Article/Mapping Population-Types-and-Method-of-Production-3335.html.

Munns, R. (2002). Comparative physiology of salt and water stress. Plant Cell and Environment. 25:239-250.

Murty, P. S. S. and Murty, K. S. (1982). Spikelet sterility in relation to nitrogen and carbohydrate contents in rice. Indian Journal of Plant Physiology. 25:40-48.

Prasad, D. K., Asch, F. and Das, U. S. (2003). Salinity effects on tiller and leaf number, leaf appearance rate and leaf duration in irrigated rice. Agricultural sciences and Resource Management in the Tropics and Subtropics – ARTS – Universität Bonn, Nussallee [Abstract].

Rahaman, M. M., Chen, D., Gillani, Z., Klukas, C. and Chen, M. (2015). Advanced phenotyping and phenotype data analysis for the study of plant growth and development. Frontiers in Plant Science 6:619. doi: 10.3389/fpls.2015.00619.

Rao, P. S., Mishra, B., Gupta, S. R. and Rathore, A. (2008). Reproductive stage tolerance to salinity and alkalinity stresses in rice genotypes. Plant breeding. 127:256-61.

Singh, R. K. and Mishra, B. (2004). Role of Central Soil Salinity Research in genetic Improvement of Rice Varieties of India. In: Genetic Improvement of Rice Varieties of India. (Eds.), SD Sharma and U Prasada Rao. India: Today and Tomorrow’s Printers and Publ. pp. 189-242.

Yeo, A. R. and Flowers, T. J. (1986). Salinity resistance in rice (Oryza sativa L.) and a pyramiding approach to breeding varieties for saline soils. In: Effect of drought on plant growth. Salts in soils. Turner, N. C. and Passioura, J. B. (Eds.). CSIRO. Melbourne. Australia. pp. 161-173.

Yang, G., Xing, Y., Li, S., Ding, J., Yue, B., Deng, K., Li, Y. and Zhu, Y. (2006). Molecular dissection of developmental behavior of tiller number and plant height and their relationship in rice (Oryza sativa L.). Hereditas. 143:236-245.

Zeng, L. and Shannon, M. C. (2000). Salinity effects on the seedling growth and yield components of rice. Crop Science 40:996-1003.