Indian Society of Genetics & Plant Breeding


Statistical methods for identifying traits associated with high yield potential in durum wheat under drought conditions

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The knowledge of key traits contributing to stress tolerance
could contribute to increasing the efficiency of the selection
process leading to development of drought tolerant
genotypes. Over three years (2010-13), 25 durum wheat
genotypes were evaluated for different agro-physiological
traits under drought conditions. Four statistical procedures
including path analysis, stepwise regression, principal
component analysis (PCA) and factor analysis (FA) were
used to identify the most contributors to grain yield. A
mean score index (MSI) based on scaling scores of selection
criteria was used for genotypes characterization. The
average yield productivity varied between 774 to 2360 kg/
ha across years. The statistical procedures confirmed the
chlorophyll fluorescence (Fv/Fm), spike length, SPAD
reading, plant height, peduncle length and heading date as
the most contributors to yield productivity in durum wheat.
The methodology of scoring scale provided a simple and
easy visualization and identification of resilient, productive
and/or contrasting genotypes according to selection
criteria. The PCA and FA by justifying the high portion of
variability in yield were found to be more efficient for
developing proper models for indirect selection.

Keywords: Drought stress, durum wheat, grain yield, statistical procedures, trait selection


Year: 2017
Volume: 77
Issue: 4
Article DOI: 10.5958/0975-6906.2017.00068.2
Print ISSN: 0019-5200
Online ISSN: 0975-6906


Alireza Etminan info_circle
Lia Shooshtari info_circle

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