Genetic diversity among barley genotypes and path analysis of several agronomic and physiological characters at normal and salinity stress conditions

Document Type : Research Paper

Authors

1 Ph.D. Graduate, Department of Plant Breeding and Biotechnology, Sari Agricultural Sciences and Natural Resources University (SANRU), sari, Iran.

2 Department of Plant Breeding and Biotechnology, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

3 Seed and Plant Improvement Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, AREEO, Mashhad, Iran

4 Seed and Plant Improvement Research Department, Yazd Agricultural and Natural Resources Research and Education Center, AREEO, Yazd, Iran

5 Ph.D. Student, Department of Water Engineering, Islamic Azad University, Kerman Branch, Kerman, Iran

6 Payamenour University, Tehran, Iran

Abstract

The current research was performed to evaluate 150 barley cultivars based on several agronomic and physiological traits. The experiment was conducted as an alpha lattice design with five incomplete blocks in two replications at normal and salinity stress (EC= 12 dsm-1) conditions at Agriculture and Natural Resources Research and Education Center, Yazd, Iran, for two years. The combined analysis of variance showed a significant difference among genotypes in all traits except harvest index and relative water content, indicating the existence of genetic diversity among the evaluated barley genotypes. Phenotypic correlation coefficients based on the average of two cropping years showed that biological yield, days to physiological maturity, and leaf chlorophyll index under normal conditions and biological yield, harvest index, number of fertile tillers, and plant height under salinity stress had a significant positive correlation with grain yield. According to the path analysis, the days to physiological maturity and number of fertile tillers had the highest positive direct effect on grain yield in normal and salinity stress conditions, respectively, followed by leaf chlorophyll index in the normal conditions and plant height under salinity stress. Cluster analysis by Ward’s method grouped the studied genotypes into three clusters in both environments based on an average of two years. The discriminant function analysis was used to determine the number of clusters and check the accuracy of the grouping in the cluster analysis. Percentage deviation from the grand mean of clusters under salinity stress showed that genotypes of the first cluster had the highest grain yield and have the shortest maturity period. In the second cluster, physiologically efficient genotypes, and in the third cluster, late maturing and low-yielding genotypes were included. Therefore, according to the results of this study, it can be concluded that under salinity stress, the genotypes of the first cluster with the highest grain yield and earliest maturity dates can be used in future breeding programs to improve the salinity tolerance.

Keywords

References

Abarnak S, Zarei L, and Cheghamirza K, 2018. Evaluation of some important agronomic and physiological traits in barley cultivars in rain fed conditions. Crop Physiology Journal 9(36): 41-63. (In Persian with English abstract).
Abdullah, Akbar M, Subhani MG, Ahmad J, and Anwar J, 2018. Multivariate analysis of some yield and yield related traits of barley (Hordeum vulgare L.) genotypes. Academia Journal of Agricultural Research 6(7): 189-197.
Ahmadi A, Pourghasemi R, and Hosseinpour T, 2014. Relationship between grain yield and yield components of barley genotypes by multivariate statistical methods. Agroecology Journal 10(3): 1-13. (In Persian with English abstract).
Bates LS, Waldren RP, and Teare ID, 1973. Rapid determination of free proline for water-stress studies. Plant and Soil 39: 205-207.
Derbew S, 2020. Multivariate analysis of hulled barley (Hordeum vulgare L.) landraces of southern Ethiopia. Cogent Food and Agriculture 6(1): 1841357.
Dyulgerova B, Dimova D, and Valcheva D, 2016. Genetic diversity in six-rowed winter barley (Hordeum sativum jess., ssp. Vulgare L.) genotypes. Bulgarian Journal of Agricultural Science 22: 114-118.
Enyew M, Dejene T, Lakew B, and Worede F, 2019. Clustering and principal component analysis of barley (Hordeum vulgare L.) landraces for major morphological traits from north western Ethiopia. International Journal of Agricultural Science and Food Technology 5(1): 58-63.
Fitter AH and Hay RKM, 1987. Environmental physiology of plants. 2nd ed. Academic Press, London, UK.
Flowers TJ and Flowers SA, 2005. Why does salinity pose such a difficult problem for plant breeders? Agricultural Water Management 78: 15-24.
Hailu A, Alamerew S, Nigussie M, and Assefa E, 2016a. Study of genetic diversity in different genotypes of barley (Hordeum vulgare L.) based on cluster and principal component analyses. Agricultural Science Research Journal 6(2): 31-42.
Hailu A, Alamerew S, Nigussie M, and Assefa E, 2016b. Correlation and path coefficient analysis of yield and yield associated traits in barley (Hordeum vulgare L.) germplasm. Advances in Crop Science and Technology 4(2): 100216.
Hosein Babaeei A, Aharizad S, Mohammadi SA, Yarnia M, and Norouzi M, 2013. Identification of effective traits on barley lines grain yield via path analysis. Journal of Crop Breeding 5(11): 49-59. (In Persian with English abstract).
Hosseinpour T, 2012. Relationship among agronomic characteristics and grain yield in hull-less barley genotypes under rainfed conditions of Koohdasht. Iranian Journal of Crop Sciences 14(3): 263-279. (In Persian with English abstract).
Khalili M and Mohammadian R, 2016. Identifying QTLs associated with salinity tolerance in early stages of barley germination. Journal of Crop Biotechnology 5(13): 41-55 (In Persian with English Abstract).
Kraakman ATW, Niks RE, Van den Berg PMMM, Stam P, and Van Eeuwijk FA, 2004. Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars. Genetics 168(1): 435-446.
Kumar A, Kumar J, Bharti B, Verma PN, Jaiswal JP, Singh GP, and Vishwakarma SR, 2017. Genotypic correlation and path coefficient analysis for yield and yield contributing traits in released varieties of barley (Hordeum vulgare L.) under partially reclaimed saline sodic soil.  Journal of Applied and Natural Science 9(1): 192-195.
Kumar Y, Niwas R, Nimbal S, and Dalal MS, 2020. Hierarchical cluster analysis in barley genotypes to delineate genetic diversity. Electronic Journal of Plant Breeding 11(3): 742-748.
Matin MQI, Amiruzzaman M, Billah MdM, Banu MB, Naher N, and Choudhury DA, 2019. Genetic variability and path analysis studies in barley (Hordeum vulgare L.). International Journal of Applied Sciences and Biotechnology 7(2): 243-247.
Madakemohekar AH, Prasad LC, Lal JP, Lodhi RD, and Prasad R, 2015. Studies on genetic variability, correlation and path analysis for yield and its contributing traits in barley (Hordeum vulgar L.) under rainfed environment. Indian Research Journal of Genetics and Biotechnology 7(3): 305-310.
Muller G, 1991. Determining leaf water surface area by means of linear measurement in wheat and triticale. Archiv fur Zuchtungsforschung 21(2): 121-123.
Munns R and Tester M, 2008. Mechanisms of salinity tolerance. Annual Review of Plant Biology 59: 651-681.
Pirasteh-Anosheh H, Emam Y, Kazemeini SA, and Dehghany F, 2017. Effect of irrigation water salinity on soil moisture and salinity during growing season, barley yield, and its water productivity. Iranian Journal of Soil Research (Formerly Soil and Water Sciences) 31(2): 155-166. (In Persian with English abstract).
Singh S, Madakemohekar AH, Prasad LC, and Prasad R, 2015. Genetic variability and correlation analysis of yield and its contributing traits in barley (Hordeum vulgare L.) for drought tolerance. Indian Research Journal of Genetics and Biotechnology 7(1): 103-108.
Zaare M and Jafari H, 2013. Quantitative trait loci diversity for salt tolerance at the early growth stage of barley (Hordeum vulgare L.). Crop Breeding Journal 3(2): 69-77.
Journal of Plant Physiology and Breeding
Volume 11, Issue 2
December 2021
Pages 121-134

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