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Evaluation of water deficient stress tolerance in spring wheat lines using canonical discriminant analysis

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Research Paper 01/01/2018
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Evaluation of water deficient stress tolerance in spring wheat lines using canonical discriminant analysis

Parviz Safari, Mohammad Moghaddam Vahed, Seyed Siamak Alavikia, Majid Norouzi
J. Bio. Env. Sci.12( 1), 126-133, January 2018.
Certificate: JBES 2018 [Generate Certificate]
Key: Canonical discriminant analysisDrought tolerance indicesWater deficitWheat

Abstract

Canonical discriminant analysis (CDA) in combination with cluster analysis was used to assess 296 spring wheat lines derived from a cross between Bam (drought tolerant) and Arta (drought sensitive) cultivars using stress tolerance indices, at two water regimes, well watered and cessation of irrigation at pollination. CDA results showed that the first two canonical variables explained 97% of the inter- group variation. The first canonical variable high canonical loadings for the indices Stress Tolerance Index, Harmonic Mean, Mean Productivity, Geometric Mean Productivity, Yield at normal condition, and yield at water deficit stress conditions. The second canonical variable consisted of Stress Susceptibility and Tolerance Indices. Therefore, the first canonical variable differentiated genotypes based on yield potential and stress tolerance and the second canonical variable distinguished stress tolerant genotypes from the sensitive types. Scatter plot of the first two canonical variables characterized five distinct groups and all pairwise Mahalanobis distances among groups were significant. The second group was recognized as the best group, because the genotypes of this group had the highest value in terms of the first canonical variable and most of these genotypes had negative values of the second canonical variable. Therefore, the genotypes of this group are suitable for both water stress and non-stress environments.

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Abdolshahi R, Nazari M, Safarian A, SadathossiniS, Salarpour, Amiri H. 2015. Integrated selection criteria for drought tolerance in wheat (Triticum aestivum L.) breeding programs using discriminant analysis. Field Crops Research 174, 20-29.

Blum A. 1996. Yield potential and drought resistance: are they mutually exclusive? In: Reynolds MP, Rajaram S, McNab A, Eds. Increasing yield potential in wheat: breaking the barriers. Mexico DF, Mexico: CIMMYT, 90–100.

Cruz-Castillo JG, Ganeshanandam S, MacKay BR, Lawes GS, Lawoko CRO, Woolley DJ. 1994. Applications of canonical discriminant analysis in horticultural research. Horticultural Science 29, 1115-1119.

Dillon WR, Goldstein M. 1984. Multivariate analysis: methods and applications. John Wiley and Sons, New York.

Fernandez GC. 1992. Effective selection criteria for assessing plant stress tolerance. In: Proceedings of the International Symposium on Adaptation of Vegetables and Other Food Crops in Temperature and Water Stress, 13-18 August, AVRDC Publications, Tainan, Taiwan,257-270.

Fischer RA, Maurer R. 1978. Drought resistance in spring wheat cultivars. I. Grain yield responses. Crop and Pasture Science 29, 897-912.

Hossain ABS, Sears RG, Cox TS, Paulsen GM. 1990.Desiccation tolerance and its relationship to assimilate partitioning in winter wheat. Crop Science 30, 622-627.

Loos BP. 1993. Morphological variation in Lolium (poacea) as a measure of species relationships.The genus Lolium; taxonomy and genetic resources. Plant Systematics and Evolution 188, 87-99.

Ramirez-Vallejo P, Kelly JD. 1998. Traits related to drought resistance in common bean. Euphytica 99, 127-136.

Rao CR. 2009. Linear statistical inference and its applications. Vol. 22.John Wiley & Sons. New York.

Rascio A, Carlino E, Santis G, Fonzo N. 2012. A discriminant analysis to categorize durum wheat varieties in drought-tolerance classes on the basis of rheological and physiological traits. Cereal Research Communications 41, 88-96.

Riggs TJ. 1973. The use of canonical analysis for selection within a population of spring barley. Annals of Applied Biology 74, 249-258.

Rosielle AA, Hamblin J. 1981. Theoretical aspects of selection for yield in stress and non-stress environment. Crop Science 21, 943-946.

Sareen S, Tyagi BS, Sharma I. 2012. Response estimation of wheat synthetic lines to terminal heat stress using stress indices. Journal of Agricultural Science 4, 97-104.

SAS Institute. 2002. SAS user’s guide: statistics version 9 for windows. SAS Institute, Carry, NC, USA.

Schneider KA, Rosales-Serna R, Ibarra-Perez F, Cazares-Enriquez B, Acosta-Gallegos JA, Ramirez-Vallejo P, Wassimi N, Kelly JD. 1997. Improving common bean performance under drought stress. Crop Science 37, 43-50.

SPSS. 2007. The SPSS system for Windows. Release 16.0.SPSS Inc., IBM Company Headquarters, USA.

Thiry AA, Chavez Dulanto PN, Reynolds MP, Davies WJ. 2016. How can we improve crop genotypes to increase stress resilience and productivity in a future climate? A new crop screening method based on productivity and resistance to abiotic stress. Journal of Experimental Botany 67, 5593-5603.

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