scholarly journals Estimation of genetic variability, heritability and correlation for some quantitative traits in wheat (Triticum aestivum L.)

2019 ◽  
Vol 28 ◽  
pp. 81-86
Author(s):  
FMA Haydar ◽  
MS Ahamed ◽  
AB Siddique ◽  
GM Uddin ◽  
KL Biswas ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Quantitative Traits ◽  
Significant Positive Correlation ◽  
Triticum Aestivum L ◽  
Grain Weight ◽  
Spike Length ◽  
Coefficients Of Variations

Seventeen genotypes of wheat were used in this study the results showed significant differences in respect of yield and other yield contributing characters. Highest phenotypic and genotypic coefficients of variations were observed in plant height and lowest values were observed in spike length in both cases.Heritability estimated was found to be high in case of grain yield/plant and this was followed by 100 grain weight. Significant positive correlation was found in plant height with number of fertile tillers/plant and grain yield/plant, fertile tillers/plant with spike length, spike length with grain yield and grain yield with 100 grain weight. Negative correlation was found in plant height with 100 grain weight. Plant height, fertile tillers/plant, spike length and 100 grain weight appeared to be the effective criteria for improvement of yield of wheat. J. bio-sci. 28: 81-86, 2020

scholarly journals On Farm Testing of Rice Residue Management Techniques for Wheat (Triticum aestivum L.) Establishment in Punjab

2021 ◽  
Vol 57 (4) ◽  
pp. 85-88
Author(s):  
Alok Gupta ◽  
Pritpal Singh ◽  
Gurdeep Singh ◽  
Bhallan Singh Sekhon ◽  
Gurjinder Pal Singh Sodhi
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Plant Height ◽  
Triticum Aestivum L ◽  
Grain Weight ◽  
The Other ◽  
Residue Management ◽  
Wheat Grain ◽  
Residue Incorporation ◽  
1000 Grain Weight

Rice residue management (RRM) has been the key component of systems’ sustainability. The paper reports the effect of different RRM and wheat (Triticum aestivum L.) establishment methods on productivity and yield contributing attributes through farmer participatory mode in south-western Punjab. Different RRM technologies including rice residue removal, residue incorporation and residue retention on soil as surface mulch were evaluated. Wheat grain yield was significantly (p<0.05) higher with happy seeder method of wheat establishment following chopping of loose rice stubble, which acts as surface mulch, compared with the other RRM technologies. Wheat grain yield in other RRM technologies viz. rice residue incorporation and removal did not differ significantly. The yield contributing attributes viz. plant height, number of effective tillers m-1 row length, 1000-grain weight, ear length and the number of grains ear-1 were significantly higher in happy seeder method of wheat establishment. The weed count (Phalaris minor) was significantly lower than the other compared methods of RRM. The correlation matrix exhibited a linear positive relationship between the grain yield and plant height (r=0.951*; p<0.05), ear length (r=0.941*), 1000-grain weight (r=0.853*) and number of grains ear-1 (r=0.771*). All economic indices viz. average net (Rs. 74, 840/- ha-1), gross returns (Rs. 1,00,620/- ha-1) and benefit-cost (B:C; 3.9) ratio were significantly enhanced because of low cost of cultivation (Rs. 25,780/- ha-1) under happy seeder method of wheat establishment.

scholarly journals Selection of best lines and hybrids on the basis of genetic variability analysis in Maize (Zea mays L.)

2020 ◽  
Vol 5 (01) ◽  
pp. 45-49
Author(s):  
Ankit Kumar ◽  
Amit Tomar
Keyword(s):  
Zea Mays ◽  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Zea Mays L ◽  
Grain Weight ◽  
Variability Analysis ◽  
Selection Of

The results revealed that parents namely, TSK-10, TSK-27, New Blue-II, Kurara and TSK-109 were found highly genetic diverse for days to 50% tasseling, days to 50% silking, days to 755 dry husk. The parents namely, TSK-109, Kurara, New Blue-II and TSK-10 were found highly genetic diverse for plant height (cm), cob height, number of cobs per plant and number of grains per cob. The parents namely, Kurara, TSK-109, TSK-10, New Blue-II and TSK-27 were found highly genetic diverse for shelling percentage, grain yield per plant, grain yield per cob and 100-grain weight.

scholarly journals Effect of level of irrigation and nitrogen rate on yield performance of late sown wheat

2018 ◽  
Vol 29 (3) ◽  
pp. 213-220
Author(s):  
S Kazi ◽  
SU Bhuiya ◽  
AK Hasan ◽  
RR Rajib ◽  
ABMR Rahman ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Grain Weight ◽  
Spike Length ◽  
High Dose ◽  
Nitrogen Rate ◽  
Irrigation Level ◽  
1000 Grain Weight ◽  
Late Sowing

The experiment was at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh–2202 during late Rabi season (December-March) of 2015. It was two factorial experiment (1) irrigation level and (2) nitrogen rate. Irrigation significantly influenced on yield and yield contributing characters except harvest index. The highest plant height (79.69cm), maximum number of total tillers plant-1 (4.725), number of grains spike-1 (40.61), spike length (11.80cm), 1000 grain weight (28.67g), grain yield (3.227 t ha-1), harvest index (41.26%) were obtained by mulching treatment. Nitrogen rate significantly influenced the yield and yield contributing characters. The highest plant height (80.37cm), maximum number of total tillers plant-1 (5.124), number of grains spike-1 (40.85), spike length (10.37cm), 1000 grain weight (31.86g), grain yield (3.792 t ha-1), harvest index (41.69%) were obtained by the application of 180 kg N ha-1. The combined effect of Irrigation and nitrogen significantly interacted on yield and yield contributing characters. The highest plant height (83.44cm), number of total tillers plant-1 (5.66), number of grains spike-1 (41.60), 1000 grain weight (36.66g), grain yield (4.32 t ha-1) and harvest index (47.36%) were obtained by application of 180 kg N ha-1 with mulching. The present study revealed that high dose of nitrogen 180 kg ha-1 and mulching practice can compensate low production of wheat even at late sowing. Progressive Agriculture 29 (3): 213-220, 2018

Effect of nitrogen and zinc on yield, protein content and quality of wheat in Egypt

1976 ◽  
Vol 87 (2) ◽  
pp. 451-454 ◽  
Author(s):  
S. A. M. Youssef ◽  
A. Y. Abdel-Rahman
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Plant Height ◽  
Nitrogen Fertilization ◽  
Kernel Weight ◽  
Grain Weight ◽  
Spike Length ◽  
Weight Protein ◽  
Linear Manner

SummaryGrain yield, plant height, spike length, grain weight per spike, 100-kernel weight, protein quantity and quality of Mexipak wheat grown with four rates of applied nitrogen (0, 75, 150 and 225 kg N/ha) and five rates of applied zinc (0, 1·25, 2·5, 5·0 and 7·5 kg Zn/ha) were measured. All these attributes were affected significantly by nitrogen fertilization in a linear manner. Differences among rates of applied zinc were significant for grain weight per spike, 100-kernel weight, grain yield and protein quantity and quality.

AGRONOMIC AND QUALITY CHARACTERISTICS OF SOME WHITE- AND BROWN-GLUMED SPRING WHEAT POPULATIONS

1969 ◽  
Vol 49 (6) ◽  
pp. 769-771 ◽  
Author(s):  
F. H. McNeal ◽  
M. A. Berg ◽  
D. E. Baldridge
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Plant Height ◽  
Spring Wheat ◽  
Grain Quality ◽  
Triticum Aestivum L ◽  
Quality Characteristics ◽  
Or Genes ◽  
Two Populations

White- and brown-glumed populations of spring wheat, Triticum aestivum L., derived by compositing seed from F2 plants and F3 lines, were evaluated at two locations for grain quality, grain yield, and other plant variables. The similarity of data from the two populations suggests that the gene, or genes, governing brown glume has little, if any, influence on most of the agronomic and quality characteristics of spring wheat, although small differences were observed in plant height at Bozeman, in spikelets per head at Huntley, and in farinograph stability at Bozeman.

scholarly journals Zinc, a micronutrient and its effect to performance of BARI gom30

2020 ◽  
Vol 8 (2) ◽  
pp. 137
Author(s):  
Salamun Gismy ◽  
Md. Romij Uddin ◽  
Md. Sohanur Rahman ◽  
Fakhar Uddin Talukder ◽  
Md. Shafiul Islam Rion
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Block Design ◽  
Maximum Yield ◽  
Grain Weight ◽  
Spike Length ◽  
Control Treatment ◽  
Straw Yield ◽  
Four Levels ◽  
1000 Grain Weight

To evaluate the effect of Zinc fertilizer on performance of wheat cv. BARI gom30, an experiment was carried out at Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh, from November 2015 to March 2016. The experiment comprised four levels of Zinc (Zn) viz., 0, 1.5, 2 and 2.5 kg/ha. The experiment was laid out in a randomized complete block design with three replications. Application of Zinc (Zn) plant height, number of total tillers/plant, number of effective tillers/plant, spike length, number of fertile spikelets/spike numbers of sterile spikelets/spike number of grains/ spike, grain yield and straw yield were found significant. But there was no significant effect of the treatment on 1000-grain weight. The highest number of total tiller/plant (4.42), number of effective tillers/plant (3.92), number of grains/spike (47.70), 1000-grain weight (47.73 g), grain yield (5.06 t/ha), straw yield (6.21 t/ha) was obtained from 2 kg Zn/ha. The highest plant height (94.08 cm), spike length (9.92 cm), number of fertile spikelets/spike (19.59) and sterile spikelets/spike (3.22) and harvest index (46.16%) were recorded at 0 kg Zn/ha respectively. The control treatment indicated the lowest value for the yield attributing characters except the number of sterile spikelets/spike. Grain yield was found to be significantly and positively correlated with number of grains/spike and straw yield. It is recommended that application of 2 kg Zn/ha is the best for maximum yield of BARI gom30.   

scholarly journals Assessment of genetic variability and character association for grain yield and its component traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (2) ◽  
pp. 797-804
Author(s):  
Satnam Singh Nagar ◽  
Pradeep Kumar ◽  
S.R. Vishwakarma ◽  
Gyanendra Singh ◽  
B. S. Tyagi
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Spike Length ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study was conducted for estimating genetic variability and characters association for eleven yield components using 169 genotypes (13 parents, 78 F1 and 78 F2) of bread wheat through half-diallel mating design during rabi season 2012-13 and 2013-14. The genetic variability, heritability in broad sense, genetic advance, correlation coefficients and path analysis were carried out for the assessment of genotypes through eleven yield component traits namely; days to 50% flowering, days to maturity, plant height, spike length, number of effective tillers per plant, number of grains per spikelet, number of grains per spike, 1000-grain weight, biological yield per plant, harvest index and grain yield per plant. Analysis of variance showed significant differences (at1% level of significance) for all the traits under study in both the generations (F1 and F2). The phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height followed by number of effective tillers per plant, biological yield per plant, grain yield per plant, while high heritability coupled with high genetic advance were recorded for plant height and spike length in both F1 and F2 generations, respectively. Grain yield per plant was positively and significantly associated with a number of effective tillers per plant, spike length, number of grains per spike, 1000-grain weight, biological yield per plant and harvest index while significantly but negatively associated with plant height. Path analysis revealed that the traits namely biological yield per plant, number of effective tillers per plant, number of grains per spike, plant height and harvest index exhibited positive direct effects on grain yield at both phenotypic and genotypic level in both generation (F1 and F2). These results, thereby suggests that yield improvement in breads wheats could be possible by emphasizing these traits while making selections in early generations.

scholarly journals THE INHERITANCE OF YIELD AND YIELD COMPONENTS OF FIVE WHEAT HYBRID POPULATIONS UNDER DROUGHT CONDITIONS

2016 ◽  
Vol 8 (2) ◽  
pp. 53 ◽  
Author(s):  
Nisar Ahmed ◽  
Muhammad Aslam Chowdhry ◽  
Ihsan Khaliq ◽  
Masahiko Maekawa
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Block Design ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Wheat Varieties ◽  
Breeding Programs ◽  
Drought Conditions ◽  
1000 Grain Weight

The magnitude of genetic inheritance and expected genetic advance are important for the prediction of response to selection in diverse environments and provide the basis for planning and evaluating breeding programs. This work investigated the inheritance of traits related to drought in wheat under natural drought conditions. Cross combinations were made to produce F1 and F2 hybrid populations, which were evaluated in a randomized completed block design with three replications at University of Agriculture, Faisalabad, Pakistan. Six wheat varieties/lines and six derived F2 hybrids were studied to ascertain heritability and genetic advance for plant height, days taken to maturity, number of tillers per plant, spike length, number of grains per spike, 1000-grain weight, and grain yield per plant. Data were collected and subjected to statistical genetic analyses. Heritability estimates and expected genetic advance for plant height, days taken to maturity, number of tillers per plant, 1000-grain weight and grain yield per plant were high for the entire cross combinations while the estimates for spike length and number of grains per spike were relatively low. Our results suggest that improvement for these characters should be faster because of higher heritabilities and greater phenotypic variation. Prospects of genetic improvement for all the characters studied are evident. The most promising cross combinations were WL60 × LU26S and WL61 × LU26S. These traits, therefore, deserve better attention in future breeding programs for evolving better wheat for stress environments. <br /><br />

scholarly journals Interrelationships among traits and morphological diversity of wheat (Triticum aestivum L.) accessions in base collection of Plant Genetic Resources Institute, Albania

2019 ◽  
Vol 113 (1) ◽  
pp. 163
Author(s):  
Doriana Bode XHULAJ ◽  
Fetah ELEZI ◽  
Valbona HOBDARI
Keyword(s):  
Triticum Aestivum ◽  
Genetic Resources ◽  
Plant Height ◽  
Principal Components ◽  
Plant Genetic Resources ◽  
Morphological Variability ◽  
Triticum Aestivum L ◽  
Spike Length ◽  
Ex Situ ◽  
Number Of Seeds

The object of the study was the evaluation of the morphological variability of 92 wheat germplasm (<em>Triticum aestivum</em> L.) part of <em>ex situ</em> collection of Plant Genetic Resources Institute, Agricultural University of Tirana. Principal components and cluster analysis were carried out involving 8 quantitative traits, such as tiller capacity, plant height, spike length, number of spikelet per spike, number of seeds per spikelet, number of seeds per spike, seed size and of seeds per spike. Plant height showed positive significant correlation with yield contributing traits as spike length (r = 0.560) and the number of spikelet’s per spike (r = 0.305). The number of grains per spike had a significant positive relationship with the mass of grains per spike. Three principal components exhibited about 66.42 % of variability where two PCs components influenced mostly the variability (PC1 with 28.1 % and PC2 with 24.43 %). Accessions were grouped into three major clusters based on complete linkage, suggesting for a variance at the level of 27.50 % within a class and 72.50 % between classes. The results suggested that plant height, spike length, number of spikelet per spike were the most important characters in differentiating the genotypes.

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