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APPLICATION OF MULTIVARIATE ANALYSIS TO IDENTIFY DROUGHT TOLERANCE GENOTYPES OF MAIZE
Author(s) -
Ahmed Kadhem
Publication year - 2017
Publication title -
iraqi journal of agricultural science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.232
H-Index - 7
eISSN - 2410-0862
pISSN - 0075-0530
DOI - 10.36103/ijas.v48i4.354
Subject(s) - genotype , drought stress , multivariate statistics , drought tolerance , zea mays , biology , agronomy , mathematics , statistics , gene , genetics
In order to identify maize (Zea mays L.) genotypes had tolerate  drought, Seven drought indices and 18 maize genotypes were used,  to determine the efficiency of theses indices to identify tolerant and susceptible genotypes, Also interpretation the relationship between these indices using  principle component , cluster of multivariate analysis and rank-sum method.  The results indicated that MP, GMP, and STI were positively and significant correlated with Yp and Ys. Therefore, these indices have the potential to identify genotypes own well performance to stress and non-stress  conditions. Screening drought tolerant genotypes using these indices discriminating   G8 (Zm32*Zm60) G2 (Zm69*Zm49), G  (Zm60*Zm61), and G11 (Zm49*Zm60) in spring season; and G8 (Zm32*Zm60) G2(Zm69*Zm49 ),  G15 (Zm49*Zm19)  and  G18 (Zm60*Zm51) for autumn season as tolerant genotypes and have a higher potential productivity under stress and non-stress conditions.

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