Variability of durum wheat genotypes in terms of physio-biochemical traits against salinity stress

2020 ◽  
Author(s):  
Shobha Soni ◽  
Ashwani Kumar ◽  
Nirmala Sehrawat ◽  
Naresh Kumar ◽  
Gurpreet Kaur ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Salinity Stress ◽  
Biochemical Traits ◽  
Wheat Genotypes

scholarly journals Varietal Variation in Physiological and Biochemical Traits of Durum Wheat Genotypes under Salinity Stress 

2021 ◽  
Author(s):  
Shobha Soni ◽  
Nirmala Sehrawat ◽  
Naresh Kumar ◽  
Charu Lata ◽  
Ashwani Kumar ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Salinity Stress ◽  
Saline Water ◽  
Block Design ◽  
Water Control ◽  
Wheat Genotypes ◽  
Dual Response ◽  
Varietal Variation ◽  
Normal Water ◽  
Physiological And Biochemical

Background: Rapid global warming associated with abiotic stresses particularly salinity stress directly poses a major challenge to the present-day agriculture. Wheat is moderately sensitive crop that occupies the largest total harvested area among the cereals including rice and maize. Durum wheat is considered as a less tolerant to bread wheat, hence, the study aims to investigate the response of durum wheat genotypes under salinity stress. Methods: A randomised block design experiment involving five durum wheat genotypes viz; HI 8737, HD 4728, HD 4730, MACS 3972 and HI 8708 and two levels of salinity i.e. normal water (Control) and saline water (ECiw -10.0 dSm-1) was conducted with three replications during 2018-2019 and 2019-2020. The observations on different physico-biochemical parameters were recorded in roots as well as shoots at the vegetative stage. Result: Salinity of 10 dS m-1 water caused 26.36% reduction in the chlorophyll content in comparison to control. Among osmolytes, salinity stress caused dual response i.e. limits the accumulation of TSS in roots whereas it enhanced the TSS accumulation in shoot, while reverse trend was noted for proteins. Salt stress enhanced the accumulation of proline and antioxidative enzymes activities in both root and shoot in comparison to control.

Genetic diversity of durum wheat genotypes using morpho-protein analysis

2014 ◽  
Vol 42 (4) ◽  
pp. 677-686
Author(s):  
M. Rajabi Hashjin ◽  
M.H. Fotokian ◽  
M. Agahee Sarbrzeh ◽  
M. Mohammadi ◽  
D. Talei
Keyword(s):  
Genetic Diversity ◽  
Durum Wheat ◽  
Protein Analysis ◽  
Wheat Genotypes

Polymorphism ofGli-A1alleles and quality properties in 21 durum wheat genotypes

2007 ◽  
Vol 35 (2) ◽  
pp. 345-348 ◽  
Author(s):  
Nevena Djukic ◽  
Desimir Knezevic ◽  
Aleksandra Novoselskaya-Dragovich
Keyword(s):  
Durum Wheat ◽  
Wheat Genotypes ◽  
Quality Properties

scholarly journals Comparison of rye, triticale, durum wheat and bread wheat genotypes for Fusarium head blight resistance and deoxynivalenol contamination

2019 ◽  
Vol 139 (2) ◽  
pp. 251-262 ◽  
Author(s):  
David Sewordor Gaikpa ◽  
Bärbel Lieberherr ◽  
Hans Peter Maurer ◽  
C. Friedrich H. Longin ◽  
Thomas Miedaner
Keyword(s):  
Durum Wheat ◽  
Fusarium Head Blight ◽  
Bread Wheat ◽  
Fusarium Head Blight Resistance ◽  
Blight Resistance ◽  
Head Blight ◽  
Wheat Genotypes

scholarly journals Evaluation of experimental designs in durum wheat trials

2015 ◽  
Vol 52 (2) ◽  
pp. 105-114
Author(s):  
Anastasios Katsileros ◽  
Christos Koukouvinos
Keyword(s):  
Durum Wheat ◽  
Block Design ◽  
Field Trials ◽  
Experimental Designs ◽  
Incomplete Block ◽  
Wheat Genotypes ◽  
Randomized Complete Block Design ◽  
Experimental Plots

Abstract Variability among experimental plots may be a relevant problem in field genotype experiments, especially when a large number of entries are involved. Four field trials on 24 durum wheat genotypes were conducted in 2013/14 in order to evaluate the efficiency of Incomplete Block, Alpha and Augmented designs in comparison with the traditional Randomized Complete Block Design (RCBD). The results showed that the RCBD can be replaced by an Alpha design, which provides better control of variability among the experimental units when the number of treatments to be tested in an experiment exceeds twenty. The ranking of the genotypes across the four designs was not constant.

scholarly journals Evaluation of Durum Wheat Genotypes under Normal Irrigation and Drought Stress Conditions

2018 ◽  
Vol 9 (24) ◽  
pp. 119-136
Author(s):  
Mohammadreza Bihamta ◽  
Mehdi Shirkavand ◽  
Javad Hasanpour ◽  
Amin Afzalifar ◽  
◽  
...  
Keyword(s):  
Drought Stress ◽  
Durum Wheat ◽  
Stress Conditions ◽  
Wheat Genotypes

scholarly journals Determination of the best indirect selection criteria in Iranian durum wheat (Triticum aestivum L.) genotypes under irrigated and drought stress conditions

Genetika ◽  
2015 ◽  
Vol 47 (2) ◽  
pp. 549-558 ◽  
Author(s):  
Ahmad Golparvar ◽  
Mohammad Gheisari ◽  
Davoud Naderi ◽  
Ali Mehrabi ◽  
Amin Hadipanah ◽  
...  
Keyword(s):  
Drought Stress ◽  
Durum Wheat ◽  
Total Variation ◽  
Seed Yield ◽  
Stress Condition ◽  
Spike Density ◽  
Plant Seed ◽  
Wheat Genotypes ◽  
Drought Stress Condition ◽  
Yield Factor

In order to evaluate and classify morphological and morpho-physiological traits of durum wheat genotypes in drought and irrigated conditions 200 durum wheat genotypes were sown in modify augmented design with four replications during 2013- 2014 farming season. Two replications were considered as drought condition and two as irrigated. Factor analysis based on principal component analysis method and varimax rotation indicated that four important factors accounted for about 87 and 92 percent of the total variation among traits in drought and irrigated conditions, respectively. In drought stress condition, the first factor assigned 37 percent of total variation between traits and was significantly related with spike yield and it?s components. Therefore, this factor was regarded as spike seed yield factor. Other factors in drought stress condition accounted for 22, 16 and 12 percent of variation between traits and were entitled as plant seed yield, spike density and assimilate transmission factors, respectively. In irrigated condition, the first factor assigned 36 percent of total variation between traits and was significantly related with traits plant and spike seed yield, plant and spike harvest index, No. seed/spike and plant height. This factor was regarded as plant seed yield factor. Other factors in irrigated condition accounted for 24, 18 and 14 percent of variation between traits and were entitled as production, assimilate transmission and spike density factors, respectively. Overall, results revealed effect of different environments on extracted factors, percent of variation accounted for by factors and traits related with each factor.

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