PHENOTYPIC ASSESSMENT OF BREAD WHEAT GENOTYPES UNDER SALT STRESS USING MULTIVARIATE ANALYSIS

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Published: 2021-11-16

Page: 1-15


AHMED M. SHAIMAA *

Department of Plant Molecular Biology, Gene Expression and Regulation Technology Lab, Agricultural Genetic engineering Research Institute (AGERI), Agricultural Research Centre (ARC) Giza, Egypt and Department of Biodiversity and Crop Improvement, International Center for Agriculture Research in the Dry Areas (ICARDA), Giza, Egypt.

KORD A. MAIMONA

Department of Botany and Microbiology, Faculty of Science, Cairo University Giza, Egypt.

HAFEZ M. REHAB

Department of Botany and Microbiology, Faculty of Science, Cairo University Giza, Egypt.

MOMTAZ A. OSAMA

Department of Plant Molecular Biology, Gene Expression and Regulation Technology Lab, Agricultural Genetic engineering Research Institute (AGERI), Agricultural Research Centre (ARC) Giza, Egypt.

AMER N. MOHAMED

Department of Plant Molecular Biology, Agricultural Genetic engineering Research Institute (AGERI), Agricultural Research Centre (ARC) Giza, Egypt.

MOBARAK H. MOHAMED

Faculty of Agricultural and Environmental Sciences – Plant production Department (Agronomy breeding branch) - Arish University, Egypt.

AL-NAGGAR M. AHMED

Department of Agronomy, Faculty of Agriculture, Cairo University, Giza, Egypt.

A. HAMWIEH

Department of Biodiversity and Crop Improvement, International Center for Agriculture Research in the Dry Areas (ICARDA), Giza, Egypt.

W. TADESSE

Department of Biodiversity and Integrated Gene Management, International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco.

*Author to whom correspondence should be addressed.


Abstract

Salinity stress affects bread wheat as one of the major cereal crops. Phenotyping elite bread wheat germplasm has high importance for its effective utilization in breeding programs. The objectives of the present investigation were to screen 169 bread wheat genotypes (159 elite breeding lines and 10 Egyptian cultivars), under saline soil conditions and assessing interrelationships between grain yield and yield-related traits. One experiment was conducted in two seasons; under saline soil conditions of El-Arish, Sinai, where soil ECe was 8.68 and 9.31 dSm-1 in the first and second season, respectively. A simple lattice design (13x13) with two replications was used. Principle component analysis (PCA), Genotype by Trait (GT) Biplot technique and Pearson's correlation were performed. Bread wheat genotypes recorded significant differences (p<0.01) for all studied traits under a saline environment. The promising genotype(s) were identified (No. 129 and No. 148) which had the highest grain yield. Results of Pearson's correlation indicated that the traits, spikes/plant (0.77) and tillers/plant (0.73) were strongly and positively correlated with grain yield/plant (GY). They identified promising genotypes and secondary traits could be offered to bread wheat breeders for use in future breeding programs to improve salinity tolerance.

Keywords: Field evaluation, genotype × trait-biplot, principle component analysis, salinity tolerance, Triticum aestivum


How to Cite

SHAIMAA, A. M., MAIMONA, K. A., REHAB, H. M., OSAMA, M. A., MOHAMED, A. N., MOHAMED, M. H., AHMED, A.-N. M., HAMWIEH, A., & TADESSE, W. (2021). PHENOTYPIC ASSESSMENT OF BREAD WHEAT GENOTYPES UNDER SALT STRESS USING MULTIVARIATE ANALYSIS. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 22(67-68), 1–15. Retrieved from https://ikprress.org/index.php/PCBMB/article/view/7163

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References

Al-Naggar AMM, Sabry SRS, Atta MMM, Abd El-Aleem OM. Field screening of wheat (Triticum aestivum L.) genotypes for salinity tolerance at three locations in Egypt. Journal of Agriculture and Ecology Research International. 2015a;4(3):88-104.

Gadallah MA, Milad SI, Mabrook YM, Abo Yossef AYand Gouda MA. Evaluation of some Egyptian bread wheat (Triticum aestivum) cultivars under salinity stress. Alexandria Science Exchange. 2017;38(2):259-270.

Al-Naggar AMM, Sabry SRS, Atta MMM, El-Aleem OMA. Effects of salinity on performance heritability selection gain and correlations in wheat (Triticum aestivum L.) doubled haploids. Scientia Agriculturae. 2015 b;10(2):70-83.

Michigan State University MSTAT-C. A software program for designmanagement and analysis of Agronomic Research Experiments. Michigan State University. East Lansing; 1991.

El-Seidy EH, Abd El-Razek UA, Abdel-Latief HA, El-Shawy EE. Evaluation of some barley varieties under the influence of different irrigation rates. Journal of Agriculture and Life Sciences. 2019;2(5):247-257.

Saddiq MS, Afzal I, Basra SM, Iqbal S, Ashraf M. Sodium exclusion affects seed yield and physiological traits of wheat genotypes grown under salt stress. Journal of Soil Science and Plant Nutrition. 2020;20(4):1-15.

Hanson CH, Roninson HF, Comstock RE. Biometrical studies of yield in segregating population of Korean Lespedeza. Agronomy Journal. 1956;45:268-272.

Singh AK, Chaurasia S, Kumar S, Singh R, Kumari J, Yadav MC, Jacob SR. Identification analysis and development of salt responsive candidate gene based SSR markers in wheat. BMC Plant Biology. 2018;18(1): 249.

Cobb JN, Juma RU, Biswas PS, Arbelaez JD, Rutkoski J, Atlin G, g EHN. Enhancing the rate of genetic gain in public-sector plant breeding programs, Lessons from the breeder’s equation. Theoretical and Applied Genetics. 2019;132(3):627-645.

Oyiga BC, Sharma RC, Shen J, Baum M, Ogbonnaya FC, Léon J, Ballvora A. Identification and characterization of salt tolerance of wheat germplasm using a multivariable screening approach. Journal of Agronomy and Crop Science. 2016;(6): 472-485.

Al-Khayri JM, Jain SM, Johnson DV. Advances in Plant Breeding Strategies, Agronomic Abiotic and Biotic Stress Traits. Springer. 2016;2:707.

Al-Naggar AMM, El-Shafik MAEMA, El- Shal MH, Anany AH. Molecular assessment of genetic diversity among Egyptian landraces of wheat (Triticum aestivum L.) using microsatellite markers. Asian Journal of Biochemistry, Genetics and Molecular Biology. 2020a;3:46-58.

Al-Naggar AMM, Shafik MM, Musa RYM. Genetic diversity based on morphological traits of 19 maize genotypes using principal component analysis and GT biplot. Annual Research & Review in Biology 35. 2020b;35:68-85.

Fufa H, Baenziger PS, Beecher BS, Dweikat I, Graybosch RA, Eskridge KM. Comparison of phenotypic and molecular marker-based classifications of hard red winter wheat cultivars. EUPHYTICA. 2005;145:133-146.

Gite VD, Bankar DN. Genetic variability parameters and correlation study in elite genotypes of bread wheat (Triticum aestivum L.). Journal of Pharmacognosy and Phytochemistry. 2018;7(1):3118-3123.

Minhas PS, Rane J, Pasala RK. Abiotic Stresses in Agriculture: An Overview. In Abiotic Stress Management for Resilient Agriculture Springer, Singapore. 2017;3-8.

Yan W. Crop Variety Trials, Data Management and Analysis, Wiley-Blackwell Hoboken, New Jersey, USA. 2014;349.

Akcura MK Kokten. Variations in grain mineral concentrations of Turkish wheat landraces germplasm. Quality Assurance and Safety of Crops and Food. 2017;9:153-159.

El-Hendawy SE, Hu Y, Sakagami JI, Schmidhalter U. Screening Egyptian wheat genotypes for salt tolerance at early growth stages. International Journal of Plant Production. 2011;5(3):283-298.

Khokhar MI, Hussain M, Zulkiffal M, Sabir W, Mahmood S, Jamil AMW. Studies on genetic variability and inter-relationship among the different traits in wheat (Triticum aestivum). Krmiva. 2010;52(2): 77-84.

Steel RGD, Torrie JH, Dickey D. McGraw-Hill Book Company: Principles and Procedure of Statistics(ed) A Biometrical Approach (3rd edn), New York, Toronto, London. 1997;352-358.

Gite VD, Bankar DN. Genetic variability parameters and correlation study in elite genotypes of bread wheat (Triticum aestivum L.). J. Pharmacogn. Phytochem. 2018;7(1):3118-3123.

Burton GW, Devane EM. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal. 1953;45:478-481.

Hammer O, Harper DA, Ryan PD. PAST, Paleontological statistics software package for education and data analysis. Palaeontologia Electronica. 2001;4(1):1-9.

Jenks MA, Hasegawa PM, Jain SM. Advances in molecular breeding toward Drought and Salt Tolerant Crops. Dordrecht, Springer. 2007;261-283.

Beyene Y, Botha AM, Myburg AA. A comparative study of molecular and morphological methods of describing genetic relationships in traditional Ethiopian highland maize. African Journal of Biotechnology. 2005;4:596-600.

Dadshani S, Sharma RC, Baum M, Ogbonnaya FC, Léon J, Ballvora A. Multi-dimensional evaluation of response to salt stress in wheat. PloS One. 2019;14(9):e0222659.

Ragab K, Kheir AM. Characterizing some Egyptian bread wheat cultivars for salinity tolerance. J. Plant Prod. 2019;10(12):1043-1049.

Ragab KE, Taha NI. Evaluation of nine Egyptian bread wheat cultivars for salt tolerance at seedling and adult-plant stages. Journal of Plant Production. 2016;7(2):147-159.

El-Mouhamady ABA, Ibrahim HF. Elicitation of salt stress-tolerant mutants in bread wheat (Triticum aestivum L.) by using gamma radiation. Doc. Bulletin of the National Research Centre. 2020; 44(1):1-18.

Mohammadi SA, Prasanna BM, Singh NN. Sequential path model for determining interrelationships among grain yield and related characters in maize. Crop Science. 2003;4:1690-1697.

Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in wheat. Agronomy Journal, 1955;47:477-483.

Zhao D, Gao S, Zhang X, Zhang Z, Zheng H, Rong K, Khan SA. Impact of saline stress on the uptake of various macro and micronutrients and their associations with plant biomass and root traits in wheat. Plant Soil and Environment. 2021;67(2):61–70.

El-Hendawy SE, Hassan WM, Al-Suhaibani NA, Refay Y, Abdella KA. Comparative performance of multivariable agro-physiological parameters for detecting salt tolerance of wheat cultivars under simulated saline field growing conditions. Frontiers in Plant Science. 2017;8:435.