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The Effect of Different Sowing Dates on Growing Periods, Yield and Yield Components of Some Bread Wheat (Triticum aestivum L.) Cultivars Grown in the East-Mediterranean Region of Turkey  [PDF]
Tevrican Dokuyucu,Aydin Akkaya,Didem Yigitoglu
Journal of Agronomy , 2004,
Abstract: The aim of this research was to determine the effect of different sowing dates on growing period, yield and some yield components of three bread wheat (Triticum aestivum L.) cultivars grown Kahramanmaras, in the East-Mediterranean region of Turkey. Experiment was carried out in a split-plot on randomized complete block design with four replications, between the year 1997-1999. Seven planting dates were planned with the first on 9th October and the others followed at about 15 day intervals. Two cultivars (Seri-82, Dogankent-1 and Panda) were the main plots and 7 different sowing dates were the subplots. According to the results of two years, sowing dates had significant effect on vegetative period (VP), grain filling period (GFP), days to maturity (DM), head number m-2 (HN m-2), 1000-grain weight (1000-GW) and grain yield (GY). Grain yields obtained from the first five sowing dates were not significantly different. Consequently, the period from first week of November to middle of December could be concluded as optimum sowing period for maximum grain yield for the region.
Estimation of variability for yield parameters in Bread Wheat (Triticum aestivum L.) grown in Gangetic West Bengal
Badole Sachin Shankarrao, Subhra Mukherjee, A.K. Pal and D.K. De
Electronic Journal of Plant Breeding , 2010,
Abstract: Thirty eight genotypes of bread wheat (Triticum aestivum L.) collected from DWR, Karnal, Haryana were evaluated inRandomized Block Design with three replications at the Teaching Farm of the Bidhan Chandra Krishi Viswavidyalaya in2008-09 crop season. Observations for eighteen different yield contributing characters viz., plant height, days to heading,flowering, maturity, tiller number per plant, length of spike, number of spikes per plant, and per meter square, number ofspikelets per spike, number of grains per spike, grain weight per spike, chlorophyll-a, b and total chlorophyll content, thousandgrain weight, grain protein content, yield per plant and grain weight per meter square were recorded. The genotypes exhibitedsignificant variation for all the characters studied. The estimate of PCV in all the traits studied were greater than those of theGCV, The close proximity between PCV and GCV values for most of the characters indicated less influence of environmenton the expression of the characters under study. Considering heritability, most of the characters showed high values. Highheritability coupled with high genetic advance (in % of mean) were recorded for the grain weight per spike, per plant and permeter square, number of grains per spike, thousand grain weight and the grain protein content indicating the characters to beunder additive genetic control and also scope of improvement through direct selection.
Response of Durum and Bread wheat Genotypes to Drought Stress: Biomass and Yield Components  [PDF]
Muzammil Saleem
Asian Journal of Plant Sciences , 2003,
Abstract: The relative drought tolerance of four durum wheat (Triticum durum Desf.) Genotypes and four dread wheat (Triticum aestivum L.) Genotypes, was assessed. The biomass production, plant height, ear length, number of spikelets, grains yield and straw weight decreased with water stress in both durum and bread wheat genotypes. However, the tolerant genotypes had less reduction in all these parameters than susceptible ones in response to drought stress. Among the durum wheat genotypes, D-91641 and D-88678 proved to be the most drought tolerant, whereas D-91616 and Wdk-85 were the sensitive ones to drought stress. Among the bread wheat genotypes Inqalab-91 showed the greatest drought tolerance followed by the Chakwal-86, Faisalabad-85 and Pasban-90.
Combining ability and Gene action for seed yield and its components in Bread Wheat (Triticum aestivum) (L.) em. Thell]
M.K. Srivastava, Dhirendra Singh and Shweta Sharma
Electronic Journal of Plant Breeding , 2012,
Abstract: A line x tester analysis involving 12 females and 4 males was carried out for 12 component traits in bread wheat. The variancesdue to specific combining ability (sca) were found to be considerably higher than that of general combining ability (gca) for allthe characters indicating greater importance of non-additive type of gene action thus, the heterosis breeding may be useful.Variety WH542 and HD2285 was found to be good general combiners for most of the yield contributing traits like spike length,1000 grain weight etc.and so the crosses involving these parents have fair chances to get better recombinants after judiciousselection. Crosses like PBW459 x RAJ 3777, K9006xUP2425and HD2285x UP2425 are important because they potentiallycombine the most of the yield contributing traits`.
Nonparametric stability methods for interpreting genotype by environment interaction of bread wheat genotypes (Triticum aestivum L.)
Akcura, Mevlut;Kaya, Yuksel;
Genetics and Molecular Biology , 2008, DOI: 10.1590/S1415-47572008005000004
Abstract: evaluation of performance stability and high yield is essential for yield trials conducted in different environments. we determined the stability of 10 bread wheat (triticum aestivum l.) genotypes (5 cultivars and 5 advanced lines) using nonparametric stability measures and compared nonparametric stability statistics across 19 environments in the central anatolian region of turkey. experiments were setup in a randomized complete block design with four replications. nonparametric stability measures revealed that al-2, karahan-99 and altay-2000 were the most stable and well adapted genotypes across the 19 environments. in addition, it was concluded that graphs of mean grain yield (t ha-1) vs. nonparametric measures (si(1), si(2), s(3), si(6) and σgy) values and kr vs. σr values could enhance visual efficiency of genotype selection based on genotype by environment interaction. furthermore, high top values, si(3) and si(6) were associated with high grain yield, but the other nonparametric stability measures were not positively correlated with grain yield and instead characterized a static concept of stability. choice of genotype for increased grain yield in bread wheat would, therefore, be expected to change yield stability by increasing the values of the si(3), si(6) and top nonparametric stability statistics.
Study of Inheritance of yield and Related Traits in Five Crosses of Bread Wheat (Triticum aestivum L.)  [cached]
B. M. Ashour,A. Arzani,A. Rezaei,S. A. M. Mirmohammady Maibody
Journal of Science and Technology of Agriculture and Natural Resources , 2006,
Abstract: The Genetic basis of grain yield and related characteristics were studied by a generation mean analysis in five crosses of winter wheat (Triticum aestivum L.). “Roshan”, “Mahdavi”, “Inia”, “Atila” and “Goscoyin” cultivars along with their F1, F2, BC1 and BC2 populations were evaluated by a split-plot design with crosses as the whole plot in a randomized complete block design with two replications and generations were applied as the subplots. Analysis of variance revealed significant differences among generations for studied characteristics including the grain yield per plant, the number of spikelet per plant, the number of spikelet per spike and grain weight per spike. For the majority of traits and crosses, F/DH1/2 was less than one, indicating that the sign and magnitude of gene actions were different. Estimates of broadsense and narrow sense heritabilities were low for the grain yield per plant compared with other traits, rating from 28.5% to 58.6% and 24% to 48,5% for the five crosses, respectively. Genetic components of generation means were calculated by fitting different models and choosing the best model indicated that the impact of additive, dominance and epistasis genetic components in controlling the traits depend on the cross and the trait under study.
Journal of Central European Agriculture , 2003,
Abstract: This study was carried out to determine the ranks of 9 bread wheat (Triticum aestivum L.) genotypes across eleven environments in Central Anatolia, Turkey, in the 2000-2002 growing seasons. Experimental layout was a randomized complete block design with four replications. Analysis of Non parametric stability revealed that genotypes 4 and 8 were most stable and well adapted across eleven environments. In addition, it was concluded that plots obtained by both mean yield (kg ha-1) vs. S1 (1) and mean yield (kg ha-1) vs. S2 (2) values could be enhanced visual efficiency of selection based on genotype x environment interaction.
Ultrastructure and biochemical traits of bread and durum wheat grains under heat stress
Dias, Ana S.;Bagulho, Ana S.;Lidon, Fernando C.;
Brazilian Journal of Plant Physiology , 2008, DOI: 10.1590/S1677-04202008000400008
Abstract: the yield and grain quality (as well as technological traits) of two heat-stressed genotypes of bread (triticum aestivum l.) and durum wheat (triticum turgidum subsp. durum) having different tolerance to high temperatures after anthesis were investigated. heat stress, during grain filling, triggered grain shrinkage with a reduced weight and ultrastructural changes in the aleurone layer and in the endosperm cells. heat stress also decreased the sedimentation index sds, an effect associated with increased protein content in the grain but with decreased levels of essential amino acids. although the responses to heat stress were similar among the triticum genotypes, it is further suggested that during grain filling, high temperatures might affect gluten strength, diminishing the wheat flour quality.
Relationships between Grain Yield and Yield Components in Bread Wheat under Different Water Availability (Dryland and Supplemental Irrigation Conditions)
Mohtasham MOHAMMADI,Peyman SHARIFI,Rahmatollah KARIMIZADEH,Mohammad Kazem SHEFAZADEH
Notulae Botanicae Horti Agrobotanici Cluj-Napoca , 2012,
Abstract: Path and correlation analysis were executed to investigate the relationships between grain yield and other important yield components in bread wheat (Triticum aestivum L.) genotypes during two years (2009-2011) under supplemental irrigation and dryland conditions. Field experiments were performed in a randomized complete block design with four replications. Grain yield showed positive correlation with plant height and test weight under supplemental irrigation condition. The similar results were also revealed between grain yield and plant height, spike length, days to maturity, agronomic score and test weight in dryland environment. The grain yield of bread wheat in dryland condition depended on the effect of plant height, days to maturity, agronomic score and 1000 kernel weight, whereas in supplemental irrigation was mainly related to plant height, spike length, 1000 kernel weight and test weight. The influence of 1000 kernel weight on grain yield in both environments seems to cause from the fact that grain yield in wheat is frequently the sink limited, and for this reason, the 1000 kernel weight has been reported as a promising trait for increasing grain yield in wheat under different conditions. The nearly equal value of correlation and path coefficients of plant height and grain yield showed plant height had positive and direct effect on grain yield, in both conditions and suggesting a criteria trait for improving of grain yield. The results showed that genotype 12 (CS/TH.SC//3*PVN/3/MIRLO/BUC/4/MILAN/5/ TILHI) is a high yielding potential genotype in moisture limited conditions.
Combining ability for grain yield and other related traits in bread wheat (Triticum aestivum L.)
Anil Kumar Yadav and Anil Sirohi
Electronic Journal of Plant Breeding , 2011,
Abstract: Combining ability for grain yield and other related characters was studied in 36 F1s along with 15 parents (12 lines and three testers) which were evaluated in a completely Randomized Block Design (RBD) with three replications during rabi 2005-06.The results indicated that among various lines, line HD 2687 was identified as a good general combiner for the characters days to heading, days to maturity, plant height and biological yield per plant, whereas, Line UP 2338 appeared as a good general combiner for the characters, plant height, tillers per plant, spikelets per ear, spike length, grains per ear and 1000-grain weight. Line 35th IBWSN-4 for days to maturity and harvest index; Line 35th IBWSN-14 for days to maturity, grains per ear and grain yield per plant; 10th HTWYT-47 for days to heading, days to maturity, tillers per plant and grains per ear; 11th HRWYT-7 for the characters spike length, 1000- grain weight, harvest index and grain yield per plant and 4th IAT-49 for tillers per plant, plant height and harvest index were identified as good general combiners. Lines 20th SAWSN-18, CPAN 3004 and RD 1008 were identified as good general combiners for days to heading, tillers per plant and biological yield per plant, respectively. Tester PBW 373 emerged as a good general combiner for the characters days to heading and biological yield per plant, whereas, Tester PBW 502 appeared as a good general combiner for the tillers per plant. Out of 36 cross combinations, nine crosses viz. UP 2338/ PBW 502, 4th IAT-49 / PBW 502,11th HRWYT-16/ PBW 343,10th HTWYT-47/ PBW 343, RD 1008/ PBW 373 , 35th IBWSN-14/ PBW 502, 20th SAWSN-18/ PBW 343, 35th IBWSN-4/ PBW 502 and CPAN 3004/ PBW 373 emerged with significant positive sca effects for grain yield per plant. The parents involved in these crosses are average x average general combiners and or poor x average combiners except in cross 35th IBWSN-14/ PBW 502 (3.14), which involved good x average general combiners. Desirable specific combining ability of the crosses involving such parents seems to be mainly due to complementation of the genes. Thus these crosses can be exploited for grain yield per plant by using biparental mating system
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