Germplasm characterization, association and clustering for salinity and waterlogging tolerance in bread wheat (Triticum aestivum)


Abstract views: 310 / PDF downloads: 105

Authors

  • GYANENDRA SINGH Directorate of Wheat Research, Post Box - 158, Karnal, Haryana 132 001
  • N KULSHRESHTHA Central Soil Salinity Research Institute, Karnal 132 001
  • B N SINGH N. D. University of Agriculture & Technology, Kumarganj, Faizabad 224 229
  • TIM L SETTER Department of Agriculture and Food Western Australia, The University of Western Australia 3 Baron-Hay Court, South Perth, Western Australia 6151
  • M K SINGH Directorate of Wheat Research, Post Box - 158, Karnal, Haryana 132 001
  • M S SAHARAN Directorate of Wheat Research, Post Box - 158, Karnal, Haryana 132 001
  • B S TYAGI Directorate of Wheat Research, Post Box - 158, Karnal, Haryana 132 001
  • AJAY VERMA Directorate of Wheat Research, Post Box - 158, Karnal, Haryana 132 001
  • INDU SHARMA Directorate of Wheat Research, Karnal 132 001

https://doi.org/10.56093/ijas.v84i9.43465

Keywords:

Bread wheat, Correlation coefficient, Cluster analysis, Genetic variability, Salinity, Waterlogging

Abstract

A study was conducted for characterizing germplasm, estimating interrelationship of traits and clustering of wheat genotypes in five environments covering salinity, waterlogging and neutral soils using, 100 elite but diverse genotypes with eight checks of bread wheat (Triticum aestivum L.). These genotypes were planted under five distinct environments during rabi 2009-10 under augmented design in four blocks wherein each check was repeated twice. The genetic variance, correlation coefficients and cluster analysis were carried out for assessment of lines through seven metric traits, namely, plant stand, plant height, days to heading, days to maturity, tillers/meter, 1000-grain weight and grain yield. Analysis of variance revealed wide variability for most of the traits under study. The phenotypic coefficient of variation (PCV) was high for tillers/meter and grain yield, while high heritability coupled with high genetic advance were found for tillers/meter, 1000-grain weight and grain yield under all five environments. At phenotypic level, positive and significant correlation coefficients revealed that under all the normal and stressed environments used here, grain yield is directly influenced by plant stand, tillers/meter and thousand grain weights. Significant and positive correlations were estimated between tillers/meter (r = 0.31 to 0.66), and 1000 grain weight (r = 0.24 to 0.61) with grain yield under all five environments. Under waterlogged conditions there were significant negative correlations of plant height to grain yield (r = –0.38 to –0.39) across two sites. These results, thereby suggests that yield improvement in bread wheat could be possible by emphasizing these traits through selection in these diverse environments. On the basis of D2 values of pooled data, 108 genotypes were grouped into four clusters. In all, only 26 lines were found common in cluster III under two waterlogging environments (Faizabad and Karnal), while only 15 lines were common in cluster I under non waterlogging (Faizabad, CSSRI and DWR) conditions. These results indicate different constraints exist in waterlogged and non-waterlogged condition at these sites. Genetic diversity available for these traits may be utilized for yield improvement in bread wheat under different soil conditions through planned hybridization and selection in target environments.

Downloads

Download data is not yet available.

References

Anonymous. 2011. Wheat improvement in India. (In) 50th All India Wheat and Barley Research Workers Meet, pp 5-17. Directorate of Wheat Research, Karnal.

Ansari K A, Soomro Z A, Ansari B A and Leghari M H. 2005. Genetic variability and heritability studied for some quantitative traits in bread wheat (Triticum aestivum L.). Pakistan Journal of Agricultural Sciences and Agricultural Engineering and Veterinary Sciences 21(1): 18–24.

Ayciceck M and Yildirim T. 2006. Heritability of yield and some yield components in bread wheat (Triticum aestivum L.). International Journal of Biological Sciences 4: 480–5.

Collaku A and Harrison S A. 2002. Losses in wheat due to water- logging. Crop Science 42: 444–50. DOI: https://doi.org/10.2135/cropsci2002.4440

Condon A G, Richards R A, Rebetzke G J and Farquhar G D. 2002. Improving intrinsic water use efficiency and crop yields. Crop Science 42: 122–31. DOI: https://doi.org/10.2135/cropsci2002.1220

FAO. 2000. Crops and Drops. Making the Best of Water for Agriculture, pp 28.

Gulzaz S, Sajjad M, Khaliq I, Khan A S and Khan S H. 2011. Relationship among coleoptiles length, plant height and tillering capacity for developing improved wheat varieties. International Journal of Agriculture and Biology 13: 130–3.

Gupta R S, Singh R P and Tiwari D K. 2004. Analysis of heritability and genetic advance in bread wheat (Triticum aestivum L.). Advance in Plant Science 17(1): 303–5.

Inamullah Ahamad H, Moahammad F, Din S U, Hassan G and Gul R. 2006. Evaluation of the heterotic and heterobeltiotic potential of wheat genotypes for improved yield. Pakistani journal of botany 38(4): 1 159–67.

Kashif M and Khaliq I. 2004. Heritability, correlation and path coefficient analysis for some metric traits in wheat. International Journal of Agriculture and Biology 6: 138–42.

Khan A S, Ashfaq M and Asad M A. 2003. A correlation and path coefficient analysis for some yield components in bread wheat. Asian Journal of Plant Sciences 2: 582–4. DOI: https://doi.org/10.3923/ajps.2003.582.584

Khan M F, Khan M K and Mustaq K. 2004. Genetic variability among wheat cultivars for yield and yield components under the agro-ecological condition of districts Rawalkot Azad Kashmir, Pakistan. Sarhad Journal of Agriculture 20(3): 391–4.

Kirgiwi F M, Ginkel M V, Trethowan R, Sears R G , Rajaram S, Paulsen G M. 2004. Evaluation of selection strategies for wheat adaptation across water regimes. Euphytica 135: 361–71. DOI: https://doi.org/10.1023/B:EUPH.0000013375.66104.04

Kotal B D, Das A and Choudhary B K. 2010. Genetic variability and association of characters in wheat (Triticum aestivum L.). Asian Journal of Crop Science 2(3): 155–60. DOI: https://doi.org/10.3923/ajcs.2010.155.160

Oguz B, Kayihan Z, Korkut, Ismet B, Orhan D, Irfan O, Turhan K and Balkan A. 2011. Genetic variation and inter-relationship of some morpho-physiological traits in Durum wheat (Triticum durum L.). Pakistan Journal of Botany 43(1): 253–60.

Panse V G and Sukhatme P V. 1984. Statistical Methods for Agriculture Workers. Indian Council of Agricultural Research, New Delhi.

Panse V G. 1957. Genetics of quantitative character in relation to plant breeding. Indian Journal of Genetics and Plant Breeding 17: 318–28.

Pawar S V, Patil S C, Naik R M and Jambhale V M. 2002. Genetic variability and heritability in wheat. Journal of Maharashtra Agriculture University 27(3): 324–5.

Richards R A, Rebetzke GJ, Condon A G and Van Herwarden A F. 2002. Breeding opportunities for increasing the efficiency of water use and crop yield in temperate cereals. Crop Science 42: 263–70. DOI: https://doi.org/10.2135/cropsci2002.0111

Sardana S, Mahajan R, Gautam N and Ram B. 2007. Genetic variability in pea (Pisum sativum L.) germplasm for utilization. SABRAO Journal 39(10): 31–41.

Setter T L, Burgess P, Waters I and Kuo J. 2001. Genetic diversity of barley and wheat for water-logging tolerance in Western Australia. (in)10th Australian Barley Technical Symposium, Canberra, 16-20 September 2001, ACT, Australia.

Setter T L, Waters I and Sharma S K. 2011. Changing climate: Wheat improvement for soils affected by waterlogging, salinity and draught. (in) Wheat Productivity Enhancement under Changing Climate, pp 58–68.

Singh S S, Hanchinal R R, Singh, Gyanendra, Sharma, R K, Tyagi, B S, Saharan, M S, Sharma, I (Eds). Narosa Publishing House, New Delhi.

Singh B N, Vishwakarma S R and Singh V K. 2010. Character association and path analysis in elite lines of wheat (Triticum aestivum L.). Plant Archives 10 (2): 845–47.

Singh Gyanendra, Chatrath R, Singh G P and Jag Shoran. 2003. Shuttle breeding approach for wider adaptability and disease resistance in wheat. (in) Wheat Technologies for Warmer Areas, pp 24–35.

Rao V S, Singh, Gyanendra and Misra S C, (Eds). Anamaya Publisher, New Delhi.

Singh Gyanendra, Tyagi B S, Singh Charan, Singh Rajender, Sharma P and Singh S S. 2011. Wheat breeding for increasing productivity in eastern Gangetic plains. (In) Wheat Productivity Enhancement under Changing Climate, pp 77–94.

Singh S S, Hanchinal R R, Singh Gyanendra, Sharma R K, Tyagi B S, Saharan M S, Sharma, I (Eds). Narosa Publishing House, New Delhi.

Singh, K N, Kulshreshtha, Neeraj, Kumar Vinod and Setter T L. 2006. Genetic variability of wheat (Triticum aestivum) lines for grain yield and component characters grown under sodic and waterlogged conditions. Indian Journal of Agricultural Sciences 76(7): 414–9.

Singh M K, Gyanendra Singh, Saharan M S, Singh S S, Tyagi B S, Verma A and Bind D. 2011. Genetic analysis for yield components traits in bread wheat (Triticum aestivum L.). (In) Book of Abstracts of Wheat Productivity under Changing Climate, pp- 43. UAS, Dharwad.

Singh M K, Gyanendra Singh, Saharan M S, Tyagi B S, Kulshreshtha N, Yaduvanshi N P S, Singh BN, Bind D, Ojha A, Verma A, Sharma I and Setter T L. 2012. Characterization of diverse germplasm for waterlogging tolerance in bread wheat (Triticum aestivum L.). (In) Plant Genetic Research for Eastern and North Eastern India, pp 193–4. ICAR Research Complex, Meghalaya.

Downloads

Submitted

2014-09-09

Published

2014-09-09

Issue

Section

Articles

How to Cite

SINGH, G., KULSHRESHTHA, N., SINGH, B. N., SETTER, T. L., SINGH, M. K., SAHARAN, M. S., TYAGI, B. S., VERMA, A., & SHARMA, I. (2014). Germplasm characterization, association and clustering for salinity and waterlogging tolerance in bread wheat (Triticum aestivum). The Indian Journal of Agricultural Sciences, 84(9), 1102–10. https://doi.org/10.56093/ijas.v84i9.43465
Citation