scholarly journals Performance and gene effects for wheat yield under inoculation of arbuscular mycorrhiza fungi and Azotobacter chroococcum

2011 ◽  
Vol 50 (No. 9) ◽  
pp. 409-415 ◽  
Author(s):  
R. Singh ◽  
R.K. Behl ◽  
K.P. Singh ◽  
P. Jain ◽  
N. Narula
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Gene Effects ◽  
Days To Flowering ◽  
Days To Maturity ◽  
Peduncle Length ◽  
The Impact

The present investigation was conducted to know the impact of bio-inoculants in low input field conditions on the magnitude and direction of gene effects and mean performance of some morphological and productivity traits in three wheat cultivars WH 147 (medium mineral input), WH 533 (drought tolerant), Raj 3077 (drought tolerant) and six generations namely P<sub>1</sub>, P<sub>2</sub>, F<sub>1</sub>, F<sub>2</sub>, BC<sub>1</sub> and BC<sub>2</sub> of three crosses i.e. WH 147 &times; WH 533, WH 533 &times; Raj 3077 and WH&nbsp;147 &times; Raj 3077. The experiment was conducted in randomised block design with three replications and three treatments i.e. control (C, without inoculation), inoculation with arbuscular mycorrhiza fungi (AMF, Glomus fasciculatum), and AMF + Azotobacter chroococcum (Azc). Mineral fertilizer (80 kg N/ha + 40 kg P/ha + 18 kg ZnSO<sub>4</sub>/ha) was applied in all the three treatments. The application of bio-inoculants, AMF and AMF + Azc had a positive effect on plant height, peduncle length, grain yield, biological yield and harvest index in various populations of all the crosses. However, in some of the generations the impact of bio-inoculants was insignificant. The joint scaling test revealed that additive-dominance gene effects were mainly operative in governing expression of peduncle length, tillers per plant, plant height, grains/spike, grain yield and all traits except days to flowering and harvest index in crosses WH&nbsp;147 &times; WH 533 and WH 533 &times; Raj 3077. The application of bioinoculants influenced gene effects for days to flowering, days to maturity, flag leaf area, spike length, grains/spike, 1000 grain weight and harvest index where complex genetic interactions were changed to simple additive-dominance gene effects in the cross WH 147 &times; Raj 3077. Likewise, additive-dominance gene effects were altered and digenic interactions exhibited for days to maturity, flag leaf area in WH&nbsp;147 &times; WH 533 and days to flowering, plant height, flag leaf area in WH 533 &times; Raj 3077. Flag leaf area and plant height were governed by additive gene effects while for days to maturity and 1000-grain weight both additive and dominance gene effect were important. Duplicate epistasis was important in all the three crosses for days to flowering and harvest index and in the cross WH 147 &times; Raj 3077 for grain weight grains per spike and flag leaf area. &nbsp;

Estimate of genetic parameters and correlation coefficient analysis for yield and its traits in bread wheat (Triticum aestivum L.)

2019 ◽  
Vol 4 (02) ◽  
pp. 135-139
Author(s):  
Ravi Kumar ◽  
Anant Kumar ◽  
Joginder Singh
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Biological Yield ◽  
1000 Grain Weight

Genetic variability, heritability, genetic advance and correlation coefficients were studied in 104 genotypes of wheat genotypes for yield and yield contributing traits. Both GCV and PCV were found to be moderate for flag leaf area, biological yield per plant, grain yield per plant and ash content. The days to ear emergence, days to maturity, plant height, harvest index and 1000-grain weight low GCV and PCV values were observed. Number of productive tillers per plant and spike length recorded moderate value of PCV and low value of GCV. High estimate of heritability in narrow sense was recorded for number of productive tillers per plant, biological yield per plant, harvest index and grain yield per plant, while it was moderate for days to ear emergence, days to maturity, plant height, flag leaf area, spike length, grains per spike and low heritability were recorded for 1000-grain weight. High heritability coupled with high genetic advance in per cent of mean was recorded for biological yield per plant and grain yield per plant. Grain yield per plant exhibited highly significant and positive association with 1000-grain weight, harvest index, biological yield per plant, grains per spike, number of productive tillers per plant and days to maturity.

scholarly journals Study on Genotypic Response and Correlation Analysis of the Yield and Yield Attributing Traits of Different Barley (Hordeum Vulgare) Genotypes

2017 ◽  
Vol 4 (4) ◽  
pp. 529-536
Author(s):  
Deepak Vitrakoti ◽  
Sheetal Aryal ◽  
Santosh Rasaily ◽  
Bishnu Raj Ojha ◽  
Raju Kharel ◽  
...  
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Flag Leaf ◽  
Grain Weight ◽  
Spike Length ◽  
Thousand Grain Weight ◽  
Days To Flowering ◽  
Days To Heading ◽  
Peduncle Length

Barley, being a tremendous opportunities crop, we are far back regarding study, research and utilization. An experiment was conducted 2014-2015 to evaluate the barley genotypes for their yield attributing traits and correlation and causation. Eleven yield contributing traits viz., days to booting, heading and flowering; peduncle length, spike length, plant height, flag leaf area, flag leaf-1 area, thousand grain weight, biological weight and yield per hectare were recorded. High significant variation among genotypes was found for traits under study. Genotypes SBYT3-13#1115 (1960 kg), 14-SB-NAK-MR#17 (1760 kg) and AM POP#26 (1660 kg) were found to be superior for their per se performance based on grain yield per hectare, yield attributing and other quantitative traits. Thousand grains weight (0.333) had positively highest significant correlation with grain yield per hectare followed by spike length (0.310). Grain yield per hectare showed negative highly significant correlation with days to flowering (-0.796) followed by days to heading (-0.761) and days to booting (-0.663). Peduncle length (0.229), plant height (0.226), biological weight (0.181) and flag leaf area (0.032) were positively correlated with grain yield per hectare while flag leaf-1 area(-0.029) was negatively correlated. Thus, selection for genotypes with higher thousand grain weight and spike length accommodating earlier days to flowering, heading and booting is a prerequisite for attaining improvement in grain yield per hectare.Int J Appl Sci Biotechnol, Vol 4(4): 529-536

scholarly journals Estimation of genetic parameters of yield and yield traits in wheat genotypes under rainfed conditions

2015 ◽  
Vol 4 (2) ◽  
pp. 193-205 ◽  
Author(s):  
Imran Khan ◽  
Fida Mohammad ◽  
Fahim Ullah Khan
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Days To Heading ◽  
Days To Maturity ◽  
Biological Yield ◽  
1000 Grain Weight

Development of superior crop varieties is the prime objectives of all plant breeding programs. To determine genetic variability, heritability and genetic advance, 24 elite bread wheat lines were planted in randomized complete block design with three replications at the University of Agriculture, Peshawar under rainfed conditions. Data were recorded on days to heading, days to maturity, plant height (cm), flag leaf area (cm-2), spike length (cm), grain yield (kg ha-1), biological yield (kg ha-1), 1000 grain weight (g), grains spike-1, grain weight spike-1(g), and harvest index (%). Analysis of variance revealed significant differences among genotypes for all the traits studied. Broad sense heritability was high for days to heading (0.89), grain weight spike-1(0.61g), spike length (0.70 cm), 1000-grain weight (0.62g), grain yield (0.78 kg ha-1) and harvest index (0.62%); and was moderate for days to maturity (0.52), plant height (0.38 cm), and grains spike-1 (0.49), while low heritability was estimated for spike weight (0.25g), flag leaf area (0.28 cm-2) and biological yield (0.25 kg ha-1). The values of genetic advance for days to heading, days to maturity, plant height, spike length, grains spike-1, grain weight spike-1, 1000-grain weight, grain yield, biological yield, flag leaf area, and harvest index were; 5.47, 1.88, 4.01, 6.42, 0.16, 5.02, 0.71, 418.83, 379.64, 2.89 and 3.92, respectively. Genotype PR 105 surpassed all other genotypes in grain yield (3144.33 kg ha-1) and hence it can be recommended for rainfed area. DOI: http://dx.doi.org/10.3126/ije.v4i2.12637 International Journal of Environment Vol.4(2) 2015: 193-205

scholarly journals CORRELATION AND PATH COEFFICIENT ANALYSIS OF ELITE SPRING WHEAT LINES DEVELOPED FOR HIGH TEMPERATURE TOLERANCE

2020 ◽  
Vol 4 (2) ◽  
pp. 73-76
Author(s):  
Dinesh Khanal ◽  
Dhruba Bahadur Thapa ◽  
Krishna Hari Dhakal ◽  
Madhav Prasad Pandey ◽  
Bishnu Prasad Kandel
Keyword(s):  
High Temperature ◽  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Direct Effect ◽  
Harvest Index ◽  
Flag Leaf ◽  
Kernel Weight ◽  
Thousand Kernel Weight ◽  
Days To Flowering

A set of fifty bread wheat genotypes that comprised of 49 high temperature tolerant lines from CIMMYT and a local check Gautam were evaluated with an objective to study the character association between yield and yield related components at the research farm of Agriculture and Forestry University, Rampur during the wheat season 2016/2017 under late sown condition. The experiment was laid out following Alpha Lattice design with two replications. Grain yield has positive and significant correlations with biomass yield, harvest index, thousand kernel weight, plant height, SPAD1 flag leaf area, SPAD1 and number of grain per spike. Negative and significant correlations were observed between grain yield with days to flowering, days to heading and days to booting. Path analysis revealed that biomass weight has maximum positive direct effect on grain yield followed by harvest index, days to booting, days to flowering, SPAD3, root angle of basket condition, number of root, number of grains per spike, and number of tiller per meter square. On the other hand, days to booting, flag leaf area, physiological maturity, SPAD1, SPAD2, root length, days to flag leaf senescence, plant height, ctd2, and thousand kernel weight showed the negative direct effect on grain yield.

Treatment by Trait Biplot Analysis of Organic Manure and Nano-Fertilizers on Sunflower Production

Helia ◽  
2018 ◽  
Vol 41 (69) ◽  
pp. 241-251
Author(s):  
Naser Sabaghnia ◽  
Saeed Yousefzadeh ◽  
Mohsen Janmohammadi
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
High Performance ◽  
Crop Yields ◽  
Farmyard Manure ◽  
Organic Manure ◽  
Leaf Number ◽  
Biplot Analysis ◽  
Days To Maturity

AbstractThis study was performed to study the effects of farmyard manure (zero (M1), 20 (M2) t ha−1) and nano-fertilizers [control (n1), Mn (n2), Fe (n3), Zn (n4)] on sunflower. Traits days to 50% flowering, days to maturity, leaf number, leaf area, plant height, achene yield and harvest index were measured.Treatment by trait (TT) analysis using biplot analysis was used to determine which treatment was best and for what trait which were generated using the standardized values of the traits means. Results showed that the first two principal components (PC1 and PC2) were used to create a two-dimensional TT biplot that accounted percentages of 94% of sums of squares of interaction. The most important vertex treatment in polygon of TT biplot was M2n4 (application of 20 tonnes ha−1 manure and Zn nano-micronutrient) which indicated high performance in leaf number, leaf area, plant height, achene yield and harvest index. The identification of ideal treatment, the treatment that is most favorable treatment among all treatments, showed that the M2n4 might be used in selecting superior traits and it can be considered as the candidate treatment. Finally, nano-fertilizer could increase crop yields and improve the efficiency of manure application. The results of this investigation showed that application of nanoparticles may alleviates the adverse environmental factors and improve the sunflower performance and the integrated application of organic manure and nano-micronutrients is more effective.

scholarly journals GENETIC ANALYSIS AND SELECTION CRITERIA IN ADVANCED BREEDING LINES OF DEEP WATER RICE

2007 ◽  
Vol 20 (1) ◽  
pp. 39-45
Author(s):  
Khaleda Akter ◽  
S. H. Habib ◽  
M. K. Bashar ◽  
A. M. Nurunnabi
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Deep Water ◽  
Indirect Effect ◽  
Harvest Index ◽  
Flag Leaf ◽  
Path Coefficient ◽  
Panicle Length ◽  
Breeding Lines

Thirty advanced breeding lines of deep-water rice were evaluated during T. Aman season (rainfed ecosystem) with a view to finding out variability and genetic association for grain yield and its component characters. All the tested characters showed significant variation. The highest genetic variability was obtained in filled grains/panicle followed by plant height. Panicles/plant, filled grains/panicle and grain yield had high genetic coefficient of variation and heritability in broad sense coupled with high genetic advance in percentage of mean. Panicle length, panicles/plant, plant height, filled grains/panicle and harvest index showed significant positive association with grain yield. Path coefficient analysis also revealed maximum positive and direct contribution of filled grain to grain yield followed by panicles/plant, 1000-grain weight and flag leaf area. Moreover, plant height had the highest indirect effect on grain yield through filled grains/panicle. Flag leaf area, harvest index and panicle length also had higher positive indirect effect on grain yield through filled grains/panicle.DOI: http://dx.doi.org/10.3329/bjpbg.v20i1.17024

scholarly journals Genetic analysis of grain yield and its contributing traits for their implications in improvement of bread wheat cultivars

2016 ◽  
Vol 8 (1) ◽  
pp. 350-357
Author(s):  
Pradeep Kumar ◽  
Gyanendra Singh ◽  
Sarvan Kumar ◽  
Anuj Kumar ◽  
Ashish Ojha
Keyword(s):  
Genetic Analysis ◽  
Grain Yield ◽  
Leaf Area ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Flag Leaf ◽  
Thousand Grain Weight ◽  
Biological Yield ◽  
Peduncle Length

Genetic analysis was carried out in 55 genotypes (10 parents and 45 F1s) through diallel mating design excluding reciprocals in bread wheat. Analysis of variance showed appreciable variability among the breeding material for almost all the traits under study. The highest value of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) was found for flag leaf area (PCV=18.82, GCV=17.74), biological yield (PCV=12.98, GCV=11.70), grain yield (PCV=11.90, GCV=10.39) and harvest index (PCV=10.39, GCV=10.05). Highest heritability with highest genetic advance was estimated for flag leaf area (h2=52.24, GA=34.64), biological yield (h2=15.04, GA=21.71), harvest index (h2=18.19, GA=20.01), peduncle length (h2=31.72, GA=15.96) and spikelets per spike (h2=34.92, GA=12.96), therefore selection will be effective based on these traits. Grain yield was found significantly correlated (at <1% level of significance) with productive tillers (gr=0.3283**, pr=0.4347**), spike length (gr=0.1959**, pr=0.2203**), spikelets per spike (gr=0.4342**, pr=0.3813**), grains per spike (gr=0.7188**, pr=0.4918**), biological yield (gr=0.6101**, pr=0.6616**), harvest index (gr=0.3518**, pr=0.3227**) and thousand grain weight (gr=0.5232**, pr=0.3673**). Similarly path coefficient analysis estimates for biological yield (g=1.0524, p=1.0554), harvesting index (g=0.8862, p=0.8291), thousand grain weight (g=0.0588, p=0.0269), grains per spike (g=0.0496, p=0.0074), spike length (g=0.0209, p=0.0289), days to maturity (g=0.0142, p=0.0127), productive tillers (g=0.0186, p=0.0147), peduncle length (g=0.0123, p=0.0157), days to 50% flowering (g=0.0093, p=0.0072) and plant height (g=0.0042, p=0.0020) showed high positive direct effects on grain yield indicating that due importance should be given to these traits during selection for high yield.

scholarly journals Association and Path Coefficient Study in F2 Population for Yield Attributing and Micronutrient Traits in Rice (Oryza sativa L.)

2020 ◽  
pp. 150-157
Author(s):  
Ashutosh Kumar ◽  
Avinash Kumar ◽  
N. K. Singh ◽  
Rajesh Kumar ◽  
S. K. Singh ◽  
...  
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Harvest Index ◽  
Flag Leaf ◽  
Canopy Temperature ◽  
Positive Association ◽  
Index Test ◽  
F2 Population ◽  
Zn Content ◽  
Days To Maturity

In view to overcome the major problem of ‘hidden hunger’ mainly caused by micronutrient deficiency, breeding for micronutrient enriched staple food crops is important. In developing countries, iron and zinc deficiencies are reported to be major health risk factor causing a high mortality rate. So, for overcoming these nutritional deficiencies through genetic improvement, F2 population of two rice crosses obtained by crossing diverse parents for micronutrients (mainly, Fe and Zn) were evaluated using randomised complete block design  during  Kharif, 2019  to study the relationship between different traits and to study the estimates of direct and indirect effect. Among the F2 population of cross-I, grain yield per plant exhibited significant and positive association with seeds per panicle, tillers per plant, flag leaf area, harvest index, test weight, days to 50% flowering and days to maturity while negative and significant correlation with canopy temperature. For cross-II, grain yield per plant exhibited significant and positive association with seeds per panicle, tillers per plant, plant height, flag leaf area, SPAD value, harvest index, test weight and days to maturity while significant and negative correlation with grain Zn content, grain Fe content and canopy temperature. Hence, selection for the traits showing positive and significant association with grain yield in both the crosses will be rewarding. Highest positive direct effect on yield was shown by harvest index in cross-I. So, selection based on harvest index for grain yield per plant would be the most effective strategy for improvement of grain yield. No direct positive or negative effect of grain Fe and Zn content on yield was found.

scholarly journals Estimates of genetic components and regression analysis for grain yield and various morphological traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (1) ◽  
pp. 6-11
Author(s):  
Sandeep Kumar ◽  
Pradeep Kumar ◽  
Vichitra Kumar Arya ◽  
Ravi Kumar ◽  
S. A. Kerkhi
Keyword(s):  
Regression Analysis ◽  
Grain Yield ◽  
Leaf Area ◽  
Bread Wheat ◽  
Harvest Index ◽  
Gene Action ◽  
Flag Leaf ◽  
Genetic Components ◽  
Biological Yield ◽  
Peduncle Length

The present study was conducted to estimate the gentic components and regression analysis for grain yield and various morphological traits in bread wheat involving 10 parents and their 45 F1s (half diallel) during 2012- 13 and 2013-14. Significant additive (D) and dominance (H1) variance for the traits indicated that expression of these traits is control by both additive and dominance gene action. Average degree of dominance (H1/D)1/2 were more than unity for the traits (peduncle length, flag leaf area, productive tillers, biological yield, grain yield, harvest index) indicating the preponderance of over dominance gene action. The estimates of h2 were positive and significant for days to ear emergence, peduncle length, productive tillers, biological yield and grain yield indicated dominance of genetic components in F1s. Positive and significant values of F were estimated for days to ear emergence, days to 50% flowering, spike length, flag leaf area and grain yield in F1s indicating the preponderance of dominance and positive genes in the parents involved. The theoretical value (0.25) of (H2/4H1) for all the traits indicated asymmetrical distribution of positive and negative genes. The proportion of dominant and recessive alleles indicated presence of dominant alleles in the parents. The traits showing more than 30% narrow sanse heritability could be rewarding for further improvement in grain yield in bread wheat. Regression analysis indicated that the traits (days to ear emergence, days to 50% flowering, peduncle length, flag leaf area, productive tillers, harvest index, biological yield and grain yield) control by over dominance type of gene action. The parent RAJ 4246 contained maximum dominant genes for days to ear emergence and days to 50% flowering; HD 2733 for spike length and flag leaf area and HD 2824 for productive tillers, biological yield and grain yield used as donors in multiple traits breeding programme to develop high yielding wheat genotypes.

scholarly journals Evaluation of F4 Bread Wheat (Triticum aestivum l.) Genotypes for Genetic Variability, Heritability, Genetic Advance and Correlation Studies

2018 ◽  
Vol 6 (1) ◽  
pp. 01-07 ◽  
Author(s):  
Amir Sohail ◽  
Hidayatur Rahman ◽  
Farhat Ullah ◽  
Syed M.A. Shah ◽  
Tanvir Burni ◽  
...  
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Days To Heading ◽  
Biological Yield ◽  
1000 Grain Weight

This research was carried out to check genetic variability, heritability and genetic advance in 11 F4 bread wheat (Triticum aestivum L.) genotypes (10 F4 lines and one check) in a randomized block design with three replications at the University of Agriculture Peshawar, Pakistan during 2015-16. Data was/were taken on parameters such as days to heading (days), plant height (cm), flag leaf area (cm2), spike length (cm), grain weight spike-1 (g), 1000-grain weight (g), grain yield plant-1 (g), biological yield plant-1 (g)and harvest index (%). The statistically significant difference(s) was/were detected for the investigated traits.  The high magnitude of heritability (˃0.62) was noted for all parameters except spike length (0.57) which was moderate. Low expected genetic advance was recorded for days to heading (3.90%) and spike length (8.13%), moderate expected genetic advance was observed for plant height (9.95%), grain weight spike-1 (11.54%) and 1000 grain weight (13.41%), while high expected genetic advance was noted for flag leaf area (24.72%), grain yield plant-1 (20.45%), biological yield plant-1 (23.64%) and harvest index (24%). Grain yield plant-1 was non-significantly and positively correlated with days to heading (rG = 0.19NS and rP = 0.07 NS),  plant height (rG = 0.30 NS and rP = 0.26 NS), flag leaf area (rG = 0.25 NS and rP = 0.18 NS), spike length (rG = 0.01 NS and rP = 0.07 NS), grain weight spike-1 (rG = 0.28 NS and rP = 0.22 NS) and 1000-grain weight (rG = 0.02 NS and rP = 0.07 NS) at both genotypic and phenotypic levels. While significantly and positively correlated with biological yield plant-1 (rG = 0.34* and rP = 0.33*) and harvest index (rG = 0.58** and rP = 0.66**) at both genotypic and phenotypic levels. High heritability showed that these traits are under genetic control and single plant selection could be started in F5 generation. The strong correlation of grain yield plant-1 with the mentioned traits showed that grain yield could be indirectly improved by improving these traits.

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