Phenotypic responses of wild barley to experimentally imposed water stress.
Responses to water stress within a population of wild barley from Tabigha, Israel, were examined. The population's distribution spans two soil types: Terra Rossa (TR) and Basalt (B). Seeds were collected from plants along a 100 m transect; 24 genotypes were sampled from TR and 28 from B. Due to different soil water-holding capacities, plants growing on TR naturally experience more intense drought than plants growing on B. In a glasshouse experiment, water was withheld from plants for two periods (10 d and 14 d) after flag leaf emergence. A total of 15 agronomic, morphological, developmental, and fertility related traits were examined by analysis of variance (ANOVA). Ten of these traits were significantly affected by the treatment. A high degree of phenotypic variation was found in the population with significant genotypextreatment and soil typextreatment interactions. Principal component analysis (PCA) was performed using combined control and stress treatment data sets. The first three principal components (pc) explained 88.8% of the variation existing in the population with pc1 (47.9%) comprising yield-related and morphological traits, pc2 (22.9%) developmental characteristics and pc3 (18.0%) fertility-related traits. The relative performance of individual genotypes was determined and water stress tolerant genotypes identified. TR genotypes were significantly less affected by the imposed water stress than B genotypes. Moreover, TR genotypes showed accelerated development under water deficit conditions. Data indicate that specific genotypes demonstrating differential responses may be useful for comparative physiological studies, and that TR genotypes exhibiting yield stability may have value for breeding barley better adapted to drought.
Ivandic
V
V
Scottish Crop Research Institute, Invergowrie, Dundee, DD2 5DA, Scotland, UK.
Hackett
C A
CA
Zhang
Z J
ZJ
Staub
J E
JE
Nevo
E
E
Thomas
W T
WT
Forster
B P
BP
D000222:Adaptation, Physiological; D000704:Analysis of Variance; D018556:Crops, Agricultural; D001467:Hordeum / Q000502:physiology*; D010641:Phenotype; D012044:Regression Analysis; D014867:Water
D014867:Water