Selection for High Yield, Combining Ability, and Stability in Smooth Bromegrass

Authors
Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Islamic Republic of Iran.
Abstract
To develop synthetic varieties, not only the estimation of General Combining Ability (GCA) for forage production is required but also the stability of GCA for parental genotypes is necessary. Little is known about genetic analysis and selection for high production, combining ability, and stability in grasses. In this study, half-sib families derived from the polycross of 25 smooth bromegrass genotypes were evaluated under 10 environments (combination of five years and two moisture environments, including non-stressed and drought stress conditions). Considerable variation for genetic and Genotype×Environment (G×E) interaction was found among half-sib families. Low broad sense heritability (27%) was found for forage yield indicating that selection based on an index may be more useful for improvement of this trait in recurrent selection programs. On the other hand, since the interactions of genetic by environment are significant, selection of superior genotypes for development of synthetic varieties should be done based on multi-environments trails.

Keywords


1. Ahmadi, A., Mohammadi, A. and Najafi Mirak, T. 2012. Targeting Promising Bread Wheat (Triticum aestivum L.) Lines for Cold Climate Growing Environments Using AMMI and SREG GGE Biplot Analyses. J. Agr. Sci. Tech., 14: 645-657.
2. Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56, FAO, Rome.
3. Amini, F., Majidi, M. M. and Mirlohi, A. 2013. Genetic and Genotype×Environment Interaction Analysis for Agronomical and some Morphological Traits in Half-Sib Families of Tall Fescue. Crop Sci., 53: 411–421.
4. Anandan, A., Sabesan, T., Eswaran, R., Rajiv, G., Muthalagan, N. and Suresh, R. 2009. Appraisal of Environmental Interaction on Quality Traits of Rice by Additive Main Effects and Multiplicative Interaction Analysis. Cereal Res. Commun., 37: 131–140.
5. Araghi, B., Barati, M., Majidi, M. M. and Mirlohi, A. 2014. Application of Half-Sib Mating for Genetic Analysis of Forage Yield and Related Traits in Bromus inermis. Euphytica, 196: 25–34.
6. Araujo, M. R. A. 2001. Variation and Heritability in Meadow bromegrass (Bromus riparius Rehm.). PhD. Thesis, University of Saskatchewan, Saskatoon, Canada.
7. Araujo, M. R. A., Coulman, B. E. and Rakow, G. 2002. Genetic Variation, Heritability and Progeny Testing in Meadow bromegrass. Plant Breed., 121: 417–424.
8. Bose, L. K., Jambhulkar, N. N., Pande, K. and Singh, O. N. 2014. Use of AMMI and other Stability Statistics in the Simultaneous Selection of Rice Genotypes for Yield and Stability under Direct-Seeded Conditions. Chil. J. Agr. Res., 74:3-9.
9. Casler, M. D. and Carlson, I. T. 1995. Smooth Bromegrass. In: “Forages: An Introduction to Grass Land Agriculture”, (Eds.): Barnes, R. E., Miller, D. A. and Nelson, C. J. 5th Edition, Iowa State Univ Press, Ames, PP. 313–324.
10. Crop, S. 2009. Crop Stat 7.2: Crop Research Informatics Laboratory. International Rice Research Institute, Los Banos, Laguna, Philippines.
11. Crossa, J. 1990. Statistical Analysis of Multi-Location Trials. Adv. Agron., 44: 55- 85.
12. Crossa, J., Gauch, H. G. and Zobel, R. W. 1990. Additive Main Effects and Multiplicative Analysis of Two International Maize Cultivar Trials. Crop Sci., 30: 493–500.
13. Dehghani, M. R., Majidi, M. M., Mirlohi, A., Amiri, R. and Sorkhilalehloo, B. 2015. Application of GGE Biplot to Analyze Stability of Iranian Tall Fescue (Lolium arundinaceum) Genotypes. Crop Pasture Sci., 66: 963-972.
14. Ebdon, J. S. and Gauch, H. G. 2002. Additive Main Effect and Multiplicative Interaction Analysis of National Turfgrass Performance Trials. II Cultivar Recommendations. Crop Sci., 42: 497-506.
15. Eberhart, S. A. and Russell, W. A. 1966. Stability Parameters for Comparing Varieties. Crop Sci., 6: 36-40.
16. Finlay, K. W. and Wilkinson, G. N. 1963. The Analysis of Adaptation in a Plant Breeding Program. Aust. J. Agric. Res., 14: 742–754.
17. Gauch, H. G. 1993. Prediction, Parsimony and Noise: A Model Can be More Accurate than a Data Used to Build It because It Amplifies Hidden Patterns and Discards Unwanted Noise. Am. Sci., 81: 468- 478.
18. Gauch, H. G. 1988. Model Selection and Validation for Yield Trials with Interaction. Biometric., 44: 705-715.
19. Gauch, H. G. and Zobel, R. W. 1996. AMMI Analysis of Yield Trials. In: “Genotype-by-Environment Interaction”, (Ed.): Kang, M. S. and Gauch, H. G. PP. New York, USA: CRC Press. 85-122.
20. Kearsey, M. J. and Pooni, H. S. 1996. The Genetical Analysis of Quantitative Traits. Chapman and Hall, New York.
21. Kirigwi, F. M., Van Ginkel, M., Trethowan, R., Sears, R. G., Rajaram, S. and Paulsen, G. M. 2004. Evaluation of Selection Strategies for Wheat Adaptation across Water Regimes. Euphytica, 135: 361–371.
22. Lin, C. S., Binns, M. R. and Lefkovitch, L. P. 1986. Stability an Analysis: Where do We Stand? Crop Sci., 26: 894-900.
23. Majidi, M. M. and Mirlohi, A. 2010. Genetic Similarities among Iranian Populations of Festuca, Lolium, Bromus and Agropyron Using AFLP Markers. Iran. J. Biotechnol., 8(1): 16-23.
24. Majidi, M. M., Hoseini, B., Abtahi, M., Mirlohi, A. and Araghi, B. 2015. Genetic Analysis of Seed Related Traits in Orchardgrass (Dactylis glomerata L.) under Normal and Drought Stress Conditions. Euphytica, 203: 409-420.
25. Majidi, M. M., Mirlohi, A. and Amini, F. 2009. Genetic Variation, Heritability and Correlations of Agro-morphological Traits in Tall Fescue (Festuca arundinacea Schreb.). Euphytica, 167: 323–331.
26. Nguyen, H. T. and Sleper, D. A. 1983. Theory and Application of Half Sib Matings in Forage Grass Breeding. Theor. Appl. Genet., 64:187–196.
27. Nguyen, H. T., Sleper, D. A. and Hunt, K. L. 1980. Genotype×Environment Interactions and Stability Analysis for Herbage Yield of Tall Fescue Synthetics. Crop Sci., 20: 221–223.
28. Pecetti, L., Annicchiarico, P., Abdelguerfi, A., Kallida, R., Mefti, M., Porqueddu, C., Simoes, N. M., Volaire, F. and Lelievre, F. 2011. Response of Mediterranean Tall Fescue Cultivars to Contrasting Agricultural Environments and Implications for Selection. J. Agron. Crop Sci., 197: 12-20.
29. Perkins, J. M. and Jinks, J. L. 1968. Environmental and Genotype Environmental Components of Variability IV. Non-linear Interactions for Multiple Inbred Lines. Heredity, 23: 525–535.
30. Pourdad, S. S. and Mohammadi, R. 2008. Use of Stability Parameters for Comparing Safflower Genotypes in Multi Environment Trials. Asian J. Plant Sci., 7: 100-104.
31. Purchase, J. L., Hatting, H. and Van Deventer, C. S. 2000. Genotype×Environment Interaction of Winter Wheat (T. aestivum) in South Africa: Stability Analysis of Yield Performance. S. Afr. J. Plant Soil 17: 101-107.
32. Robins, J. G., Bushman, B. S., Jensen, K. B. and Blaser, G. 2012. Genetic Variation for Morphology and Maturity among the Half-Sib Progeny of Nine Orchard Grass Germplasm Populations. Crop Sci., 52: 2276- 2282.
33. Robins, J. G., Bushman, B. S., Jensen, K. B., Escribano, S. and Blaser, G. 2015. Genetic Variation for Dry Matter Yield, Forage Quality, and Seed Traits among the Half-Sib Progeny of Nine Orchard Grass Germplasm Populations. Crop Sci., 55: 275- 283.
34. SAS Institute. 2002. The SAS System for Windows. Release 8.2. SAS Institute, Inc., Cary, NC.
35. Steel, R. G. D. and Torrie, J. G. 1980. Principles and Procedures of Statistics. 2nd Edition, McGraw–Hill Book Co, New York.
36. Tan, W. K. and Tan, G. Y. 1980. Combining Ability Analyses of Stability Parameters and Forage Yield in Smooth Bromegrass. Theor. Appl. Genet., 58: 71–74.
37. Tarakanovas, P. and Ruzgas, V. 2006. Additive Main Effects and Multiplicative Interactions Analysis of Grain Yield of Wheat Varieties in Lithuania. Agron. Res., 4: 91-98.
38. Vita, P. D., Mastrangeloa, A. M., Matteua, L., Mazzucotellib, E., Virzi, N., Palumboc, M., Stortod, M. L., Rizzab, F. and Cattivelli, L. 2010. Genetic Improvement Effects on Yield Stability in Durum Wheat Genotypes Grown in Italy. Field Crop Res., 119: 68-77.
39. Yan, W. 2001. GGE Biplot a Windows Application for Graphical Analysis of Multi-Environment Trial Data and other Types of Two-way Data. Agron. J., 93: 1111–1118.
40. Yan, W. Cornelius, P. L., Crossa, J. and Hunt, L. A. 2001. Two Types of GGE Biplot for Analyzing Multi-environment Trial Data. Crop Sci., 41: 656–663.
41. Yan, W. and Rajcan, I. 2002. BiplotAnalysis of Test Sites and Trait Relations of Soybean in Ontario. Crop Sci., 42: 11-20.
42. Zobel, R. W., Wright, M. J. and Gauch, H. G. 1988. Statistical Analysis of a Yield Trial. Agron. J., 80: 388-393.