Abstract:
Drought is the main environmental problem that causes high negative effect on
cereals crops particularly wheat. It is a great challenge for crop breeders to
produce cultivars having good potential of survival in drought stress
environment. In the present research one hundred and three Wheat genotypes
were evaluated for drought stress. On the basis of morphological traits, genotype
010718 ranked first on the basis of days to maturity (DM), 010771 showed highest
number of tillers per plant (NTP), 010817 has highest spike length (SL), 010814 has
highest peduncle length (PL), 010813 has greatest number of spikelets per spike
(NSPS), 010874 has highest 1000 grain weight (GW), 010874 have highest harvest
index (HI) and 010822 showed optimum plant height (PH). These genotypes
could be used for further breeding programs to improve wheat production under
drought stress conditions of Pakistan. The same genotypes were also evaluated
for physiological tests including relative water content normal (RWCN), relative
water content stress (RWCS), water loss rate normal (WLRN), water loss rate
stress (WLRS) and water use efficiency (WUE) under both normal and drought
stress regimes. The analysis of variance (ANOVA) results concluded that highly
significant differences were found among the genotypes in both normal and
drought stress. 010824 recorded the highest RWC in normal while 010809
recorded the highest relative water content (RWC) in drought stress conditions.
010808 and 010808 was ranked first on the basis of water loss rate normal (WLRN)
and water loss rate stress (WLRS) while 010831 was ranked first in water use
efficiency (WUE) test. These genotypes may be suggested for further cultivation
in irrigated and rainfed areas of Pakistan. In the present study thirteen root traits
were evaluated for drought tolerance. All root traits showed significant
differences among the genotypes at (P≤0.01). 010842, 011862, 010853, 010829 and
011881 ranked first on the basis of root traits and considered to be best for
drought stress areas of Pakistan. All the genotypes were screened with 105 SSR
markers. Most of the markers showed high level of polymorphism. Total of 279
polymorphic alleles generated. The alleles per locus ranged from 1-3 and an
average of 2.63 per locus. Polymorphic information content (PIC) values of the
markers was calculated in the range of 0.00–0.59. The association analysis
revealed that one hundred and three genotypes having different genetic
background were classified into fifteen distinct groups. Total of 08 MTAs were
recorded for root traits in GLM and MLM models. The genetic information
obtained in the present study in the form of MTAs/QTLs could be utilized for
breeding programs to improve drought stress tolerance.