scholarly journals Estimation of heritability and genetic advance for various metric traits in seven F2 populations of bread wheat (Triticum aestivum L.)

2016 ◽  
Vol 61 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Babar Saleem ◽  
Abdus Khan ◽  
Muhammad Shahzad ◽  
Fahid Ijaz
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
Genetic Advance ◽  
Days To Heading ◽  
High Heritability ◽  
Peduncle Length ◽  
Metric Traits

Heritability estimates provide information about the traits that are transmitted from parents to their offsprings and it has a crucial role in selection criteria to improve grain yield. The purpose of the present study was to compute heritability and genetic advance of seven F2 populations derived through cross combinations of five parental varieties/lines of bread wheat Iqbal-2000, Lasani- 2008, 9444, 9432 and 9436. Data were recorded for seven metric traits: plant height, days to heading, flag leaf area, peduncle length, number of kernels per spike, kernel weight per spike and grain yield per plant. The estimates of heritability were low to high for all the traits studied except for kernel weight per spike which had a moderate to high value of heritability. Results depict that all the mentioned traits can be enhanced easily due to high values of heritability and phenotypic variations. The cross combinations 9436 ? Iqbal-2000 and 9436 ? Lasani-2008 had high heritability for most of the traits. Therefore, selection could be practiced among wheat crosses with special emphasis on crosses, namely 9436 ? Iqbal-2000, to improve grain yield per plant.

scholarly journals Expected genetic gains from mono trait and indexbased selection in advanced bread wheat (Triticum aestivum L.) populations

2020 ◽  
Vol 73 (2) ◽  
pp. 9131-9141
Author(s):  
Zine El Abidine Fellahi ◽  
Abderrahmane Hannachi ◽  
Hamenna Bouzerzour
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Flag Leaf ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Research Unit ◽  
Kernel Weight ◽  
Wide Range ◽  
Wheat Lines ◽  
Selection Of

This study aimed at evaluating the expected gains from selection obtained based upon direct, indirect, and index-based selection in a set of 599 bread wheat lines. The experiment was carried out at the experimental field of INRAA institute, Setif research unit (Algeria), in a Federer augmented block design including three controls. A wide range of genetic variability was observed among lines for the eleven traits assessed. The results indicated that index-based selection and selection based on grain yield expressed higher expected genetic gain than direct and indirect mono-trait-based selection. The best 15 selected lines exhibited higher grain yield than the control varieties, and they were clustered in three groups that contrasted mainly for the flag-leaf area, thousand-kernel weight, biomass, and harvest index. The index-based selection appears as a useful tool for the rapid selection of early filial generations, enriching selected breeding materials with desirable alleles and reducing the number of years required to combine these traits in elite varieties.

scholarly journals Evaluation of agronomic traits and assessment of genetic variability in some popular wheat genotypes cultivated in Saudi Arabia

2019 ◽  
pp. 847-856 ◽  
Author(s):  
Soleman M. Al-Otayk
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Plant Height ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Kernel Weight ◽  
Wheat Genotypes ◽  
Days To Heading ◽  
Days To Maturity

The present study was carried out to evaluate agronomic traits and assessment of genetic variability of some wheat genotypes at Qassim region, Saudi Arabia', during 2010/11 and2011/12 seasons. Fourteen wheat genotypes including five bread wheat and nine durum wheat genotypes were evaluated in randomized complete block design with three replications. The genotypes were evaluated for ten different yield contributing characters viz., days to heading, days to maturity, grain filling period, grain filling rate, plant height, number of spikes m-2, kernels spike-1, 1000-kernel weight, grain yield and straw yield. The combined analysis of variance indicated the presence of significant differences between years for most characters. The genotypes exhibited significant variation for all the characters studied indicating considerable amount of variation among genotypes for each character. Maximum coefficient of variation was observed for number of spikes m-2 (17%), while minimum value was found for days to maturity. Four genotypes produced maximum grain yield and statistically similar, out of them two bread wheat genotypes (AC-3 and SD12) and the other two were durum wheat (AC-5 and BS-1). The genotypes AC-3, AC-5 and BS-1 had higher grain yield and stable in performance across seasons. The estimation of phenotypic coefficient of variation in all the traits studied was greater than those of the genotypic coefficient of variation. High heritability estimates (> 0.5) were observed for days to heading, days to maturity, and plant height, while the other characters recorded low to moderate heritability. The high GA % for plant height and days to heading (day) was accompanied by high heritability estimates, which indicated that heritability is mainly due to genetic variance. Comparatively high expected genetic advances were observed for grain yield components such as number of kernels spike-1 and 1000-kernel weight. Grain yield had the low heritability estimate with a relatively intermediate value for expected genetic advance. The results of principle component analysis (PCA) indicated that the superior durum wheat genotypes for grain yield in the two seasons (AC-5 and BS-1) are clustered in group II (Fig. 2). Also, the superior two bread wheat genotypes (AC-3 and SD12) were in group I. Therefore, it could be future breeding program to develop new high yielding genotypes in bread and durum wheat.

scholarly journals Combining ability analysis in bread wheat (Triticum aestivum (L.) Em. Thell) under different environmental conditions

2019 ◽  
Vol 48 (1) ◽  
pp. 85-93
Author(s):  
Vijay Sharma ◽  
NS Dodiya ◽  
RB Dubey ◽  
Rumana Khan
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Combining Ability ◽  
Gene Action ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Pooled Analysis ◽  
Combining Ability Analysis ◽  
Component Traits ◽  
Diverse Origin

Pooled analysis of 8 genotypes of wheat of diverse origin, their 28 F1s and 2 checks was carried out in 4 different environments to study the combining ability in bread wheat for grain yield and its component traits. On pooled basis, analysis of variance due to GCA and SCA was significant for all characters revealed difference between parents for GCA and difference between crosses for SCA. Similarly, mean square due to GCA × E was significant for number of effective tillers per plant and flag leaf area revealed influence of environment on GCA. Whereas SCA × E was also significant for number of effective tillers per plant and grain yield per plant revealed influence of environment on SCA. The variance due to GCA was higher than their respective SCA for all characters except number of grains per spike indicating that additive type of gene action played role in the expression of all these traits. Significant GCA effects for grain yield and its component traits were exhibited by the parents HD 2987, Lok 1 and HI 1544. Fourteen crosses recorded showed significant SCA effects for grain yield and related traits.

scholarly journals Genetic variability, correlation and path analysis for yield and its component traits in restorer lines of rice

2019 ◽  
Vol 44 (2) ◽  
pp. 291-301 ◽  
Author(s):  
MZ Islam ◽  
MAK Mian ◽  
NA Ivy ◽  
N Akter ◽  
MM Rahman
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Coefficient Of Variation ◽  
Environmental Influence ◽  
Flag Leaf ◽  
Positive Association ◽  
Spikelet Fertility ◽  
Genetic Advance ◽  
High Heritability ◽  
Positive Direct

Twenty nine restorer lines of rice were evaluated for fourteen agro-morphological traits during Boro (irrigated rice) season of 2012-2013 at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, and Bangladesh. Analysis of variance revealed significant differences among the restorer lines for all the traits studied.The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all the traits indicating the presence of little environmental influence in the phenotypic expression. Heritability estimate was found high for all the yield contributing traits. High heritability along with high genetic advance as per cent of mean was recorded for secondary branches per panicle followed by number of effective tillers, flag leaf area and panicle weight. Contrary, days to flowering and days to maturity showed high heritability coupled with low genetic advance as per cent of mean. Pearson correlation revealed grain yield had positive association with number of effective tillers per hill, panicle length, spikelet fertility, flag leaf area, plant height and thousand grain weights. Mentioned characters also found positive association with yield in both genotypic and phenotypic level. Spikelet fertility, number of secondary branches per panicle, thousand grain weights and number of effective tiller possessed higher positive direct effect on grain yield. It indicated the importance of these traits as selection criteria of yield improvement in hybrid rice programme. Bangladesh J. Agril. Res. 44(2): 291-301, June 2019

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 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 Studies on Genetic Variability Parameter under Artificial Epiphytotic Condition for Leaf Rust in Bread Wheat (Triticum aestivum L.)

2019 ◽  
pp. 1-7
Author(s):  
Ashutosh Kumar ◽  
Yashavantha Kumar Kakanur ◽  
Suma Biradar ◽  
Srinivas A. Desai ◽  
T. N. Satisha ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Breeding Programme ◽  
Genetic Advance ◽  
Advanced Backcross ◽  
Slow Rusting ◽  
Component Traits ◽  
High Heritability

Present investigation was conducted to study the genetic variability for grain yield, its component traits and slow rusting component in advanced backcross segregating lines of bread wheat at AICRP on wheat, MARS, UAS, Dharwad, Karnataka during Rabi season of 2015-2016. The study revealed highly significant differences for the yield, its component traits and for slow rusting components, indicating the presence of sufficient genetic variability in these lines which is basis for the effective selection in any breeding programme. High genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) values coupled with high heritability and high genetic advance over mean were recorded for some of the studied traits such as grain yield per plant and no. of productive tillers per plant. Also high PCV and GCV along with high heritability and high genetic advance over mean (GAM) was found for the slow rusting components. The presence of sufficient variability along with high heritability for all these traits indicates that simple phenotypic selection for these traits may be effective for genetic improvement of these traits. Hence based on present findings it can be concluded that practicing selection considering the traits like productive tillers per plant, grain yield per plant along with slow rusting components will be more beneficial for achieving durable type of resistance in future breeding programme.

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 Line × tester Study in Bread Wheat (Triticum aestivum L.) for Important Biochemical and Morphological Traits

2022 ◽  
Author(s):  
Anand Kumar ◽  
Lokendra Singh ◽  
Prashant Kaushik
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Morphological Traits ◽  
Triticum Aestivum L ◽  
Genetic Advance ◽  
Biochemical Traits ◽  
Days To Maturity ◽  
Biological Yield ◽  
High Heritability ◽  
F1 Generation

: Using line × tester analysis, the current research analyses parental genotypes and their combinations in normal conditions and identifies the genes influencing yield characteristics. In the present study, 15 diverse genotypes, including 10 lines, 5 testers, and 50 F1s hybrids, were evaluated for 13 morphological and 2 biochemical traits. A suitable location was taken to study the effect of 15 characters. The results exposed that ability mean squares were significant for all studied additive and non-additive components. In this direction, the general combining ability of PBW-343, DBW-39, K-402, K-1317, KRL-210, and K-68 were higher than the remaining parents. For morphological traits like yield, the top five crosses were described based on SCA effects, namely, HD-3086 × HD-3171, K-402 × K-9107, K-1317 × K-9107, HD-2967 × K-0307 and K-402 × K-68 in F1 generation. In addition, the high value of heritability was estimated for plant height (77.32%), spike length (32.26%), biological yield/plant (59.52%), and grain yield/plant (68.76%). However, the moderate values of heritability were estimated for days to maturity (22.78%) and phenol color reaction (18.00%). The higher genetic advance was not found for recorded characters; however, a moderate genetic advance was recorded for grain yield per plant (13.15%) and harvest index (11.72%). High heritability coupled with moderate genetic advance was recorded for two characters grain yield per plant and harvest index in F1 and F2 generations.

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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