Screening Rice (O. Sativa L.) in Salinity Gradient to Identify Performance During Vegetative Stage for Salinity Stressed Environments
Journal of Plant Sciences
Volume 7, Issue 6, December 2019, Pages: 144-150
Received: Oct. 6, 2019;
Accepted: Oct. 28, 2019;
Published: Nov. 5, 2019
Views 141 Downloads 63
Andrew Abiodun Efisue, Department of Crop & Soil Science, University of Port Harcourt, Port Harcourt, Nigeria
Ella Elizabeth Igoma, Department of Crop & Soil Science, University of Port Harcourt, Port Harcourt, Nigeria
Salinity is one of the leading abiotic factors constraint rice production and efforts are being made by scientists to mitigate their effects on rice productivity. The objectives of this study are to identify salinity tolerant rice that is eco-salinity specific to ameliorate the salinity stress. The study comprises 16 advanced breeding lines and Pokkali a universal check was used in potted experiments. Four experiments were established concurrently in two replications in a randomized complete block design. The first experiment is none stressed ECO, the second (EC2) at 2.0 dSm-1, three (EC3) and four (EC4) at 3.0 dSm-1 and at 6.0 dSm-1, respectively. The genetic materials used in this study were replicated in all the experiments. Significant variations were observed among the genotypes based on their reaction to salinity stress at different salinity gradients. Genotype like IR84105-5-B-1-B-1 is constantly showing high tillering ability across salinity concentration gradients. The most stable genotypes were IR84931-9-B-2-B-3, and IR84931-9-B-1-B-3. The biplot indicates the possibility of two mega environments, which are (EC0 and EC3) and (EC2 and EC6), respectively for salinity stress. The results from this study has identified promising genotypes IR84105-5-B-1-B-1, and IR84105-5-B-1-B-5 for high tillering ability across the gradients, which is one of the major grain yield components and the most stable genotypes were IR84931-9-B-2-B-3 and IR84931-9-B-1-B-3 across the salinity gradients, which could be deployed to these regions.
Andrew Abiodun Efisue,
Ella Elizabeth Igoma,
Screening Rice (O. Sativa L.) in Salinity Gradient to Identify Performance During Vegetative Stage for Salinity Stressed Environments, Journal of Plant Sciences.
Vol. 7, No. 6,
2019, pp. 144-150.
Andrew Abiodun Efisue, Ella Elizabeth Igoma. 2019. Screening Oryza Sativa L. for Salinity Tolerance During Vegetative Stage for the Coastal Region of Niger-Delta Nigeria. Journal of Plant Sciences. Vol. 7, No. 1, 2019, pp. 21-26. doi: 10.11648/j.jps.20190701.14.
Thi My Linh Hoang, Thach Ngoc Tran, Thuy Kieu Tien Nguyen, Brett Williams, Penelope Wurm, Sean Bellairs and Sagadevan Mundree 2016. Improvement of Salinity Stress Tolerance in Rice: Challenges and Opportunities Agronomy 2016, 6, 54; 1-23 doi: 10.3390/agronomy6040054.
Miller, G. A. D.; Suzuki, N.; Ciftci-Yilmaz, S.; Mittler, R. O. N. 2010. Reactive oxygen species homeostasis and signalling during drought and salinity stresses. Plant Cell Environ. 33, 453-467.
Williams, B. and Dickman, M. Plant programmed cell death: 2008. Can’t live with it; can’t live without it. Mol. Plant Pathol. 9, 531-544.
Haruna, A., Adu, G. B., Buah, S. S., Kanton, R. A., Kudzo, A. I., Seidu, A. M. and Kwadwo, O. A. (2017). Analysis of genotype by environment interaction for grain yield of intermediate maturing drought tolerant top-cross maize hybrids under rain-fed conditions. Cogent Food & Agriculture 3 (1), 1333243.
Yan, W., Hunt, L. A., Sheng, Q. and Szlavnics, Z. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science 40, 597-605.
Efisue, Andrew A. and Derera, John 2012: Genotypic Response in Rice During the Vegetative Phase under Water Stress and Non-stress Conditions, Journal of Crop Improvement, 26: 6, 816-834.
Yan, W., P. L. Cornelius, J. Crossa, and L. A. Hunt. 2001. Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci. 41: 656-663.
Fernandez G. C. J. 1992: Effective selection criteria for as¬sessing plant stress tolerance. In: Proc. Int. Symp. Adapta¬tion of Vegetables and other Food Crops in Temperature and Water Stress, Taiwan, August 13−16, 1992: 257−270.
Krishnamurty S. L., Sarma S. K, Gautam R. K. and Kumar, V. 2014. Path and associated analysis and stress indeces for salinity tolerance traits in promising rice (O. sativa L.) genotypes. Cereal Res. Commun. 4: 474.
Sanjay Singh, R. S. Sengar, Neeraj Kulshreshtha, D. Datta, R. S. Tomar, V. P. Rao, Deepa Garg & Ashish Ojha1 2015. Journal of Agricultural Science; Vol. 7, No. 3; 49-57.
International Rice Research Institute IRRI. 1996. Standard evaluation system for rice. Los Baanos, Philippines: Yoshida, S. 1981. Fundamentals of rice crop science. The International Rice Research Institute (IRRI). Los Banos, Laguna, Philippines. pp 269.
Yoshida, S. 1981. Fundamentals of rice crop science. TheInternational Rice Research Institute (IRRI). Los Banos, Laguna, Philippines. pp 269.
SAS Institute Inc. 2003. SAS/STAT user’s guide, version 9.1. Cary, NC: SAS Institute Inc.
Cornelius, P. L., J. Crosssa, and M. S. Seyedsadr. 1996. Statistical test and estimates of multivariate models for genotype-by-environment interaction. In Genotypeby- environment interaction, edited by M. S. Kang, and H. G. Gauch, 199-234. Boca Raton, FL: CRC Press.
Yan, W. 2002. Singular-value portioning in biplot analysis of multi-environment trial data. Agron. J. 94: 990-996.
Pareek A, Sopory S K, Bohnert H J, Govindjee. 2010. Abiotic Stress Adaptation in Plants: Physiological, Molecular and Genomic Foundation. Berlin: Springer.
Mantri N, Patade V, Penna S, Ford R, Pang E. 2012. Abiotic stress responses in plants: Present and future. In: Ahmad P, Prasad M NV. Abiotic Stress Responses in Plants: Metabolism, Productivity and Sustainability. New York: Springer: 1-19.
Andrew A. Efisue, Bianca C. Umunna, and Joseph A. Orluchukwu (2014). Effects of yield components on yield potential of some lowland rice (Oyza sativa L.) in coastal region of southern Nigeria. J. Plant Breed. Crop Sci. 6 (9): 119-127.
Olubukola G. A., Chinyere C. N., Richard O. A. and Julius O. F., 2017. Screening for yield related characters in some landrace accessions of Oryza sativa linn. In Nigeria. Journal of Plant Sciences., 12: 52-58.
Peng S, Khush GS, Cassman KG. 1994. Evolution of the new plant ideotype for increased yield potential, In: K. G. Cassman (Ed.), Breaking the Yield Barrier. IRRI, Los Banos, Philippines, pp. 5-20.
Maas EV and Hoffman GJ (1997) Crop salt tolerance current assessment. J. Irrig. Drain. Div. Am. Soc. Civ. Eng. 103, 115-134.
Ismail, A.; Heuer, S.; Thomson, M.; Wissuwa, M. Genetic and genomic approaches to develop rice germplasm for problem soils. Plant Mol. Biol. 2007, 65, 547-570.
Jampeetong, A. and H. Brix, 2009. Effects of NaC salinity on growth, morphology, photosynthesis and proline accumulation of Salvinia natans. Aquat. Bot., 91: 181-186.
Senguttuvel P., Sravan Raju N., Padmavathi G., Sundaram R. M., Madhav S., Hariprasad A. S., Kota S., Bhadana V. P, Subrahmanyam D., Subra Rao L. V., Brajendra, Ravin¬drababu V. 2016: Identification and quantification of salinity tolerance through salt stress indices and vari¬ability studies in rice (Oryza sativa L.). SABRAO Journal of Breeding and Genetics, 48: 172-179.
Rajanaidu, N.; Zakri, A. H. Breeding for morpho-physiological traits in crop plants. In Plant Breeding and Genetic Engineering; Zakri, A. H., Ed.; SABRAO: Bangkok, Thailand, 1988; pp. 116-139.
Yeo, A. R. Physiological criteria in screening and breeding. In Soil Mineral Stresses: Approaches to Crop Improvement; Yeo, A. R., Flowers, T. J., Eds.; Springer: Berlin, Germany, 1994; pp. 37-57.
Krishnamurty S. L., Sarma P. C, Sarma S. K, Batra, V, Kumar, V. and Rao, L. V. S 2016. Effect of salinity and use of stress indices of morphological and physiological traits at the seedling stage in rice. Indian Journal of Experimental Biology. 54: 843-850.
Fan, X., Kang, M. S., Chen, H., Zhang, Y. D., Tan, J. and Xu, C. (2007). Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agronomy Journal 99, 220-228.