Impact of Planting Method on Grain Yield and Yield Components of Diffreent Bread Wheat Genotypes = تأثير طرق الزراعة على المحصول ومكوناته في تراكيب وراثية مختلفة من قمح الخبز

2016 ◽  
Vol 20 (5) ◽  
pp. 805-819
Author(s):  
S. T. I. El-Sherif ◽  
SH. R. M. El-Areed ◽  
A. A. Hagrass
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Yield Components ◽  
Wheat Genotypes ◽  
Yield And Yield Components ◽  
Planting Method

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.

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

GENOTYPIC AND PHENOTYPIC VARIABILITY, HERITABILITY AND PHENOTYPIC CORRELATION FOR YIELD AND YIELD COMPONENTS IN BREAD WHEAT VARIETIES

2001 ◽  
Vol 49 (3) ◽  
pp. 237-242 ◽  
Author(s):  
K. Z. Korkut ◽  
I. BAŞER ◽  
O. Bilgin
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Bread Wheat ◽  
Yield Components ◽  
Phenotypic Variability ◽  
Kernel Weight ◽  
Phenotypic Correlation ◽  
Genotypic Variability ◽  
Wheat Varieties ◽  
Yield And Yield Components

This research was conducted to determine the effect of genetic and phenotypic variability on the yield and yield components of some bread wheat varieties over a period of four years (1995–1998). Experiments were established according to a completely randomised block design with three replicates in the Experimental Field of Tekirda đ Agricultural Faculty, Thrace University. In the present research, genotypic and phenotypic variability, heritability and phenotypic correlation coefficients were estimated for plant height, spike length, number of spikelets per spike, number of spikes per square metre, thousand kernel weight, test weight and grain yield per hectare. The results of data analyses showed that the highest genotypic variability was obtained for per hectare yield, whereas the highest phenotypic variability values were found for plant height, thousand kernel weight and grain yield. For plant height, thousand grain yield and test weight, the broad sense heritability coefficient was found to be the highest, while it was low for spike length, number of spikelets per spike and number of Key words: bread wheat, genotypic variability, phenotypic variability, heritability coefficient, phenotypic correlation, grain yield

scholarly journals Reaction of wheat genotypes to soil aluminum differential saturations

2003 ◽  
Vol 46 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Antonio Costa ◽  
Luís Alberto Cogrossi Campos ◽  
Carlos Roberto Riede
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Yield Components ◽  
Kernel Weight ◽  
Dolomitic Lime ◽  
Wheat Genotypes ◽  
Soil Aluminum ◽  
Yield And Yield Components ◽  
Aluminum Saturation ◽  
Red Latosol

Ten wheat (Triticum aestivum) genotypes were evaluated in microplots with aluminum saturation of 0, 15, 30 and 45%, during 1994, in Londrina, Paraná, Brazil. The soil was a Distrofic Red Latosol (Typic Haplorthox), with 65% saturation of aluminum, amended with dolomitic lime. Variables evaluated included grain yield and yield components: ears.m-2, grains.ear-1 and the weight of 1000 grains. Genotypes differed in yield and yield components. Increasing aluminum saturation decreased yield, ears.m-2 and grains.ear-1, but did not alter thousand kernel weight. The genotypes reacted differently in relation to the toxic soil aluminum. Anahuac and IAPAR 29 were aluminum sensitive; OCEPAR 16, Trigo BR 18, and Trigo BR 23 were moderately sensitive; IAPAR 6, IAPAR 53, and IAPAR 60 were moderately tolerant; while IAC 5-Maringá and Trigo BR 35 were tolerant.

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 Gram Yield and Yield Components of Spring Wheat Genotypes at Different Moisture Regimes

1998 ◽  
Vol 3 (2) ◽  
pp. 13
Author(s):  
R. Ahmad ◽  
N. Ahmad ◽  
J.C. Stark ◽  
A. Tanveer
Keyword(s):  
Water Stress ◽  
Grain Yield ◽  
Spring Wheat ◽  
Yield Components ◽  
Irrigation System ◽  
Stress Conditions ◽  
High Plasticity ◽  
Wheat Genotypes ◽  
Yield And Yield Components ◽  
High Yields

Yield and developmental characteristics of crop genotypes grown at different levels of water availability are often used to select genotypes that are adapted to variable moisture environments. Field studies were conducted at Aberdeen. Idaho, USA in 1992 and 1993 to evaluate the effects of varying moisture supply on grain yield and yield components of spring wheat genotypes. In both years, 12 spring wheat (Triticum aestivum L.) genotypes were grown under three irrigation levels (well-watered. moderate water-stress and severe water-stress) imposed during the periods from mid-tillering to anthesis with a line source sprinkler irrigation system. Grain yield and yield components (spikes m-2, spikelets spike-1, kernels spikelet-1,  kernels spike-1, and kernel weight) were used to evaluate the genotypic response to water stress. Overall, water stress caused a reduction in grain yield and yield components. Genotypes exhibited a large year-to-year variation in their ranks for grain yield. Medium-tall growing genotypes (IDO 367. lDO 369 and Rick) generally produced high yields under water stress conditions in 1992 (relatively dry year), while short -medium genotypes (WPB 926. Yecora Rojo and Pondera) produced high yields under water stress conditions in 1993 (relatively wet year). Chris and Serra were the lowest yielding genotypes under water stress conditions in both years. Under moderate stress conditions. 100 367 and Yecora Rojo had consistently high yields. Genotypic yield differences under water stress conditions were primarily related to the differences in the numbers of spikes m". Therefore, a tendency for high plasticity for Spikes per unit area could be used to select wheat genotypes for improved drought tolerance.

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