Selection for Yield and Yield Components in Some Bread Wheat Genotypes = الانتخاب للمحصول ومكوناته في بعض التراكيب الوراثية لقمح الخبز

2017 ◽  
Vol 21 (3) ◽  
pp. 497-517
Author(s):  
M. N. Abdelkader
Keyword(s):  
Bread Wheat ◽  
Yield Components ◽  
Wheat Genotypes ◽  
Yield And Yield Components ◽  
Selection For

The Performance of Ten Bread Wheat Genotypes Associated with Yield and Yield Components under Water Stress Conditions

2014 ◽  
Vol 18 (3) ◽  
pp. 415-428
Author(s):  
E. M. S. Gheith ◽  
M. A. Abd El-Shafi ◽  
A. A. Abd El-Mohsen ◽  
H. S. Suleiman
Keyword(s):  
Water Stress ◽  
Bread Wheat ◽  
Yield Components ◽  
Stress Conditions ◽  
Wheat Genotypes ◽  
Yield And Yield Components

scholarly journals EFFECT OF WATER STRESS ON YIELD AND YIELD COMPONENTS OF BREAD WHEAT GENOTYPES.

2017 ◽  
Vol 48 (3) ◽  
Author(s):  
Mohammed & Kadhem
Keyword(s):  
Water Stress ◽  
Grain Yield ◽  
Bread Wheat ◽  
Yield Components ◽  
Block Design ◽  
Research Station ◽  
Stress Treatment ◽  
Wheat Genotypes ◽  
Effect Of Water ◽  
Yield And Yield Components

A field experiment was conducted during 2014 -2015 and 2015-2016 seasons at the  Field Crops Research Station Abu Ghraib, to study the effect of water stress, on yield and yield components of  bread wheat genotypes .The water stress treatment were 25% (S1) and 75% (S2) depletion of soil available water . The experiments was conucted using a split plot with in arrangement Randomized Complete Block Design with three replications. Water stress treatments were assigned to the main-plot, while, 27 wheat genotypes  were assigned to sub-plots. The results indicated that water stress treatment (S2)  significantly decreased  the number of spikes m-2,  number of grain.spike-1, 1000 grain weight and grain yield. The genotypes showed a differences in all characters studied. The genotype 26 produced the highest number of spikes m-2(355.8) and did not significantly differ from Bohooth10 347.2 spike.m-2.The Bohooth10 gave highest in the number of grain spike-1 (62.07) . The genotype 25 produced the highest weight of 1000 grains (40.05,37.09 gm)The genotype 26 produced highest grain yield (6.117 and 5.074 ton h-1 ) for two seasons, respectively but differed significantly from IPA99 which gave lowest  grains yield ( 3.395 and 3.020 Tun.h-1) for two seasons respectively.

Effect of terminal heat stress on yield and yield components of bread wheat genotypes

2015 ◽  
Vol 16 (1) ◽  
pp. 42
Author(s):  
Mamta Gupta ◽  
Veena Chawla ◽  
S. S. Dhanda ◽  
R. P. Saharan ◽  
Renu Munjal ◽  
...  
Keyword(s):  
Heat Stress ◽  
Bread Wheat ◽  
Yield Components ◽  
Wheat Genotypes ◽  
Terminal Heat Stress ◽  
Yield And Yield Components

scholarly journals Genetic variability and association of yield and yield components among bread wheat genotypes under drought-stressed conditions

2021 ◽  
pp. 863-870
Author(s):  
Yared Semahegn ◽  
Hussein Shimelis ◽  
Mark Laing ◽  
Isack Mathew
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Bread Wheat ◽  
Yield Components ◽  
Agronomic Traits ◽  
Genetic Advance ◽  
Wheat Cultivars ◽  
Wheat Genotypes ◽  
Lattice Design ◽  
Yield And Yield Components

Drought is one of the major constraints to wheat production and productivity globally. Developing drought-adapted wheat cultivars is paramount to increase wheat productivity under variable rainfall conditions. Understanding the genetic variability and trait association is key to the development of improved wheat cultivars. The objective of this study was to determine the extent of the genetic parameters and associations of yield and yield components of bread wheat genotypes, in order to design appropriate breeding strategies for yield improvement in wheat. One hundred and twenty genotypes were evaluated at five test sites in the 2018/19 cropping season using a 10 x 12 alpha lattice design with two replications. Different sowing dates were used to impose contrasting drought stress levels based on the onset of the main seasonal rains at each site. Data were recorded on agronomic traits such as days to heading (DH), days to maturity (DM), plant height (PH), spike length (SL), spikelet per spike (SS), kernel per spike (KS), 1000 kernel weight (TKW) and grain yield (GY). There was significant (p<0.01) genetic variation for all agronomic traits studied under both drought-stressed and non-stressed conditions. The highest estimates for genetic variance were obtained for DH (54.0%), followed by SL (38.3%). The high heritability estimated for DH (94.4%), SL (90.2%) and SS (85.2%), coupled with a high rate of genetic advance, suggest that direct selection for these traits would be effective under drought-stressed conditions. GY exhibited low genetic advance (9%) and heritability (41.5%) estimates, which were concomitant with its polygenic and complex inheritance pattern. Correlation and path analyses revealed that TKW was the most important contributing trait for improving grain yield under drought-stressed conditions

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