EVALUATION OF THE TOLERANCE OF RICE (ORYZA SATIVA) FOR SUBMERGENCE AND DROUGHT USING VARIOUS YIELD RELATED STRESS INDICES

I AMJAD; M KASHIF; S AKHTAR; MZK NAZAR; A LATIF; A LATIF; S SARFRAZ; U SHAHBAZ; MT AHSAN; F SHAMIM; N SHAHZADI; MN KHALID; ZU QAMAR

doi:10.54112/bcsrj.v2022i1.106

Authors

I AMJAD Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Pakistan
M KASHIF Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Pakistan
S AKHTAR Vegetable Research Institute, Ayub Agricultural Research Institute Faisalabad, Pakistan
MZK NAZAR Soil and Water Testing Laboratory Bahawalnagar, Pakistan
A LATIF Vegetable Research Institute, Ayub Agricultural Research Institute Faisalabad, Pakistan
A LATIF Vegetable Research Station Karor Laal Eason District, Layyah, Pakistan
S SARFRAZ Rice Research Institute, Kala Shah Kaku, Lahore-39018, Pakistan
U SHAHBAZ University of Trento Dipartimento di Genomica e BiologiadellePiante da Frutto Fondazione Edmund Mach - www.fmach.it Via Mach 1, 38010 San Michele all'Adige (TN) - Italy
MT AHSAN Department of Agronomy, University of Agriculture Faisalabad
F SHAMIM Rice Research Institute, Kala Shah Kaku, Lahore-39018, Pakistan
N SHAHZADI Rice Research Institute, Kala Shah Kaku, Lahore-39018, Pakistan
MN KHALID Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Pakistan
ZU QAMAR Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan

DOI:

https://doi.org/10.54112/bcsrj.v2022i1.106

Keywords:

RICE,, submergence, drought, sub1, stress tolerance indices

Abstract

Rice genotypes were evaluated under submergence stress and drought stress in two separate field conditions under Split Plot design consisting of water stress as the main plots, and rice genotype as the sub-plot treatments. Grain yields under non-stress and stressed conditions were used to calculate stress indices. In the first experiment, four rice genotypes (Swarna Sub1, Ciherang Sub1, IR-07-F289 Sub1 and IR-44 Sub1) along with two high yielding local varieties (KSK-133 and Super Basmati) were evaluated under submergence stress in field conditions. Submergence stress was applied at tillering stage for 21 days. Results of stress indices under submergence revealed that yield stability index was the only stress index which showed strong and positive correlation with crop yield under submergence. Biplot graph exhibited that harmonic mean, geometric mean productivity, mean productivity; stress tolerance index and yield index were the best stress indices among all other indices to identify submergence tolerant genotypes. Based on the stress indices and their correlation results, the genotypes can be classified in different groups. Super Basmati performed well under submergence and normal conditions, KSK-133 performed well under normal conditions, IR-44 Sub1 and Swarna Sub1 performed well under submerged conditions. While in the second experiment drought stress was applied for 30 days on four Sub1 genotypes along with Nagina-22 (Drought tolerant check) and IR-64 (drought susceptible check). Harmonic mean and yield index showed strong positive correlation with the yield under drought stress. Biplot graph exhibited that mean productivity, tolerance index, and stress susceptibility index were the best stress indices among all other indices to identify drought tolerant genotypes. Based on the stress indices and their correlation results it was observed that Nagina-22 performed well under drought and normal conditions, IR-64 performed well only under normal conditions, Swarna Sub1 and IR-07-F289 performed well under drought as compare to the normal conditions. As a whole, the findings of this study indicate that classification and selection of superior genotypes under severe stress conditions is more reliable by using stress indices as a base for selection.

Downloads

Download data is not yet available.

References

Abarshahr, M., Rabiei, B., and SamizadehLahigi, H. (2011). Assessing Genetic Diversity of Rice Varieties under Drought Stress Conditions. Notulae Scientia Biologicae 3, 114-123.

Abbasian, A., Mohaddesi, A., Aminpanah, H., Ghasemi, S.M.S., Javadi, M., and Ebrahimian, M. (2014). Evaluation of rice cultivars in different irrigation treatments based on sensitive and tolerance indices. Poljoprivredai Sumarstvo 60, 251.

Afrin, W., Nafis, M.H., Hossain, M.A., Islam, M.M., and Hossain, M.A. (2018). Responses of rice (Oryza sativa L.) genotypes to different levels of submergence. Comptes Rendus Biologies 341, 85-96.

Ajalli, J., and Salehi, M. (2012). Evaluation of drought stress indices in barley (Hordeum vulgare L.). Annals of Biological Research 3, 5515-5520.

Anonymous. (2018-19). Economic survey. Government of Pakistan, Finance Division, Economic Advisor's Wing, Islamabad, Pakistan.

Anwaar, H.A., Perveen, R., Mansha, M.Z., Abid, M., Sarwar, Z.M., Aatif, H.M., ud din Umar, U., Sajid, M., Aslam, H.M.U., Alam, M.M., and Rizwan, M. (2020). Assessment of grain yield indices in response to drought stress in wheat (Triticum aestivum L.). Saudi Journal of Biological Sciences 27, 1818-1823.

Beena, R., Kirubakaran, S., Nithya, N., Manickavelu, A., Sah, R.P., Abida, P.S., Sreekumar, J., Jaslam, P.M., Rejeth, R., Jayalekshmy, V.G., and Roy, S. (2021). Association mapping of drought tolerance and agronomic traits in rice (Oryza sativa L.) landraces. BMC Plant Biology 21, 1-21.

Benesty, J., Chen, J., Huang, Y., and Cohen, I. (2009). Pearson Correlation Coefficient. In Noise Reduction in Speech Processing. Springer 2, 37-40

Chaudhari, P.R., Tamrakar, N., Singh, L., Tandon, A., and Sharma, D. (2018). Rice nutritional and medicinal properties: A. Journal of Pharmacognosy and Phytochemistry 7, 150-156.

Chaudhry, U.F., Khalid, M.N., Aziz, S., Amjad, I., Khalid, A., Noor, H., and Sajid, H.B. (2022). International Journal of Agriculture and Biosciences. Int J Agri Biosci 11, 59-69.

Choudhary, R.S., Biradar, D.P., and Katageri, I.S. (2021). Evaluation of sorghum RILs for moisture stress tolerance using drought tolerance indices. The Pharma Innovation Journal, 10(4): 39-45

Gabriel, K.R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika 58, 453-467.

GiasiOskoei, M., Farahbakhsh, H., and Mohamadinejad, G. (2014). Evaluation of rice cultivars in drought and normal conditions based on sensitive and tolerance indices. Journal of Crop Production 6, 55-75.

Gholamhoseini, M. (2020). Evaluation of sesame genotypes for agronomic traits and stress indices grown under different irrigation treatments. Agronomy Journal, 112, 1794-1804.

Jafar, R.M.S., Rabnawaz, A., Hussain, S., Ahmed, W., and Zhuang, P. (2015). Aptitudes of Pakistani rice industry with respect to global trade. Journal of Economic Sustainability and Development 6: 8-12.

Kamrani, M., Hoseinim Y., and Ebadollahi, A. (2018). Evaluation for heat stress tolerance in durum wheat genotypes using stress tolerance indices. Archives of Agronomy and Soil Science 64, 38-45.

Kennedy, G., Burlingame, B., and Nguyen, V.N. (2003). Nutritional contribution of rice and impact of biotechnology and biodiversity in rice-consuming countries. 59-70. Proceedings of the 20th session of the International Rice Commission. Bangkok, Thailand, 23-26 July 2002. Sustainable rice production for food security, Dat Van Tran(Ed.)Duffy, R.(Ed.).- Rome (Italy): FAO, 2003. Sess. 20 International Rice Commission, Sess. 20 International Rice Commission, Bangkok (Thailand), 23-26 Jul 2002. p. 59-70

Korres, N.E., Norsworthy, J.K., Burgos, N.R., and Oosterhuis, D.M. (2017). Temperature and drought impacts on rice production: An agronomic perspective regarding short-and long-term adaptation measures. Water Resources and Rural Development 9, 12-27.

Memon, N.A. (2013). Rice: Important cash crop of Pakistan. Pakistan Food Journal 26, 21-23.

Mohanty, S., Wassmann, R., Nelson, A., Moya, P., and Jagadish, S.V.K. (2013). Rice and climate change: significance for food security and vulnerability. International Rice Research Institute 14, 1-14.

MohdIkmal, A., Noraziyah, A.A.S., and Wickneswari, R. (2021). Incorporating drought and submergence tolerance QTL in Rice (Oryza sativa L.) the effects under reproductive stage drought and vegetative stage submergence stresses. Plants 10, 225.

Mourad, A.M., Amin, A.E.E.A.Z., and Dawood, M.F. (2021). Genetic variation in kernel traits under lead and tin stresses in spring wheat diverse collection. Environmental and Experimental Botany 192, 104646.

Moustafa, E. (2021). Evaluation of bread wheat advanced lines under salinity conditions using tolerance indices. Egyptian Journal of Desert Research 71, 23-52.

Muddassir, M., and Al-Zahrani, K. H. (2022). General Overview: Awareness of Genetically Modified Food Among Consumers. International Journal of Agriculture and Biosciences 11, 48-52.

Naghavi, M. R., Pour A.A., and Khalili, M. (2013). Evaluation of Drought Tolerance Indices for Screening Some of Corn (Zea mays L.) Cultivars under Environmental Conditions. Notulae Scientia Biologicae 5, 388-393.

Nazari, L., and Pakniyat, H. (2010). Assessment of drought tolerance in barley genotypes. Journal of Applied Sciences 10, 151-156.

Poudel, P.B., Poudel, M.R. and Puri, R.R. (2021). Evaluation of heat stress tolerance in spring wheat (Triticum aestivum L.) genotypes using stress tolerance indices in western region of Nepal. Journal of Agriculture and Food Research 5,100179.

Pour-Aboughadareh, A., Mehrvar, M.R., Sanjani, S., Amini, A., Nikkhah-Chamanabad, H., and Asadi, A. (2021). Effects of salinity stress on seedling biomass, physiochemical properties, and grain yield in different breeding wheat genotypes. Acta Physiologiae Plantarum 43, 1-14.

Rahimi, M., Dehghani, H., Rabiei, B., and Tarang, A.R. (2013). Evaluation of rice segregating population based on drought tolerance criteria and biplot analysis. International Journal of Agriculture and Crop Sciences 5, 194.

Rehman, A., Jingdong, L., Du, Y., Khatoon, R., Wagan, S.A., and Nisar, S.K. (2016). Flood disaster in Pakistan and its impact on agriculture growth (a review). Global Advanced Research Journal of Agricultural Science 6, 39-42.

Sánchez-Reinoso, A.D., Ligarreto-Moreno, G.A., and Restrepo-Díaz, H. (2020). Evaluation of drought indices to identify tolerant genotypes in common bean bush (Phaseolus vulgaris L.). Journal of Integrative Agriculture 19, 99-107.

Semahegn, Y., Shimelis, H., Laing, M., and Mathew, I. (2020). Evaluation of bread wheat (Triticum aestivum L.) genotypes for yield and related traits under drought stress conditions. Acta Agriculturae Scandinavica, Section B—Soil & Plant Science 70, 474-484.

Sharifi-Zagheh, A., Gholizadeh, A. Sorkhilalehloom B., and Khodadadi, M. (2022). Identification of Suitable Parents for Essential Oil Yield in Coriander Half-sib Families under Different Environmental Conditions. International Journal of Horticultural Science and Technology 9, 201-212.

Zafar, M. M., Zhang, Y., Farooq, M. A., Ali, A., Firdous, H., Haseeb, M., Fiaz, S., Shakeel, A., Razzaq, A., and Ren, M. (2022). Biochemical and Associated Agronomic Traits in Gossypium hirsutum L. under High Temperature Stress. Agronomy 12, 1310.

Zafar, M.M., Jia, X., Shakeel, A., Sarfraz, Z., Manan, A., Imran, A., Mo, H., Ali, A., Youlu, Y., Razzaq, A., and Iqbal, M.S. (2021). Unraveling Heat Tolerance in Upland Cotton (Gossypium hirsutum L.) Using Univariate and Multivariate Analysis. Frontiers in Plant Science 12, 727835-727835.

Zafar, M.M., Razzaq, A., Farooq, M.A., Rehman, A., Firdous, H., Shakeel, A., Mo, H., Ren, M., Ashraf, M., and Youlu, Y. (2022). Genetic variation studies of ionic and within boll yield components in cotton (Gossypium Hirsutum L.) Under salt stress. Journal of Natural Fibers 19, 3063-3082.