scholarly journals Study of genetic and phenotype correlations and heritability for twelve varieties of wheat (Triticum aestivum L.) planting under different environmental of Basrah

2020 ◽  
Vol 8 (1) ◽  
pp. 8-20
Author(s):  
M. A. K. AL-Abody ◽  
W.A.J. Al-Sebahi ◽  
S.A.M. AL- Abdullah
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Leaf Area ◽  
Harvest Index ◽  
High Stability ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Wheat Cultivars ◽  
Phenotypic Variations

"A field experiment was carried out during the winter seasons (2016-2017& 2017-2018) in three locations in Basrah Governorate: AL-Daire, the Qurna site and the location of the ALMadina (Marsh areas), to analysis of genetic stability of wheat cultivars and identify the high stability of grain yield. The experiment included twelve cultivars of wheat (Abu Graib-3, Fatih, Rasheed, Furat, Latifih, Tammoz-2, Baraka, IPA -95 and IBA -99, Bhooth-10, Bhooth22 and Bhooth-158). Grain yield showed a positive and highly significant genetic correlation with the characteristics of flag leaf area, the spike length, the tillernumber, the spike efficiency, the number of spike, and number of seed per spike of 0.498, 0.523, 0.698, 0.598, 0.702 and 0.693 respectively. The grain yield showed a positive and highly significant phenotypic correlation with the characteristics flag leaf area, the length of the spike, the number of tillers, spike fficiency, the number of spike and the number of spike grains of 0.506, 0.579, 0.786, 0.671, 0.801 and 0.763 respectively. The genetic environmental and phenotypic variations of cereal yield varied from 0.295, 0.064 and 0.359 respectively. The highest percentage of the heritability in the broad sense reached 94.572% in the number of days from planting up to 50% of spikes, while the harvest index registered the lowest the percentage reached 39.401%, and the grain yield gavin percentage of 82.172%."

scholarly journals Correlation and Path Coefficient Analysis in Bread Wheat (Triticum aestivum L.) Genotypes for Morpho-physiological Traits along with Grain Fe and Zn Content

2020 ◽  
pp. 130-140
Author(s):  
Mainak Barman ◽  
Vinay Kumar Choudhary ◽  
Satish Kumar Singh ◽  
Rabiya Parveen ◽  
Abhishek K. Gowda
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Water Content ◽  
Leaf Area ◽  
Relative Water Content ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Relative Water

Character association studies help in assessing the relationship among yield and its components to enhance the selection utility. In view of this, the present research was carried out for assessing correlation and path coefficients among 30 bread wheat (Triticum aestivum L.) genotypes using fifteen quantitative parameters. Correlation analysis demonstrated a noteworthy positive relationship of days to fifty per cent flowering, number of tillers/plant, flag leaf area, spike length, plant height, chlorophyll content, relative water content, number of grains/ ear, thousand-grain weight, days to maturity and harvest index, with grain yield per plant at both the phenotypic and genotypic level except canopy temperature which showed a significant negative relationship. Path coefficient analysis revealed that plant height, flag leaf area, relative water content and grain per ear had the maximum positive direct effect on grain yield. Hence, the present investigation can be helpful in executing a reliable selection of parental lines based on these above mentioned traits in addition to developing high-yielding varieties for further breeding programme.

scholarly journals Correlation and path coefficient analysis among yield and yield attributing traits of wheat (Triticum aestivum L.) genotypes

2020 ◽  
Vol 5 (2) ◽  
pp. 196-199
Author(s):  
Koshraj Upadhyay
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Direct Effect ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Lattice Design ◽  
Positive Direct

To assess correlation and to find out the direct and indirect effect of yield attributing traits on grain yield, thirty wheat (Triticum aestivum L.) genotypes were experimented at Kamalamai-04, Phant, of Sindhuli district, Nepal. The experiment was laid out in alpha-lattice design with three replications. Thirteen quantitative traits including grain yield of wheat were studied during this study. The grain yield of wheat has significant (P≤0.01) and positive genotypic and phenotypic correlation with number of spikes per meter (0.6**, 0.47**), grains per spike (0.69**, 0.65**), weight of grains per spike (0.69**, 0.61**), thousand kernel weight (0.87**, 0.74**), maturity days (0.5*, 0.47**), above ground mass yield (0.96**, 0.83**) and  harvest index (0.93**, 0.64**) of wheat. The genotypic correlation is higher in magnitude than the phenotypic correlation for almost all the studied traits. Path analysis of genotypic correlation showed a high positive direct effect of plant height (0.75), above ground biomass (0.6), spike length (0.43), and harvest index (0.29) on grain yield of wheat. Hence, for increasing yield of wheat in the breeding program, selection and hybridization can be made more effective and accurate by using those a significant positive correlation coefficient and direct effect on the grain yield of wheat.

EFFECT OF SEEDING RATE ON GRAIN YIELD, STRAW YIELD AND HARVEST INDEX OF EIGHT SPRING WHEAT CULTIVARS

1982 ◽  
Vol 62 (2) ◽  
pp. 285-291 ◽  
Author(s):  
R. J. BAKER
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Spring Wheat ◽  
Linear Response ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Wheat Cultivars ◽  
Seeding Rate ◽  
Straw Yield ◽  
Rate Interaction

Eight cultivars of spring wheat, Triticum aestivum L., were evaluated at seeding rates of 110, 270 and 430 seeds/m2 in a total of nine experiments spanning three locations, two dates of seeding and 2 yr. Grain yield exhibited a significant cultivar × experiment × linear response to seeding rate interaction. Grain yield of Pitic 62 showed a significant decrease with increased seeding rate in one experiment while giving the greatest increase in another. Over all experiments, the highest seeding rate gave the highest grain yield. For straw yield, Chester showed the greatest response to seed rate, Canuck the least. With the exception of Canuck, which showed a significant increase in harvest index with increased seeding rate, harvest index tended to be greater at the intermediate seeding rate.

scholarly journals Association analysis of some morphological traits of wheat (Triticum aestivum L.) under field stress conditions

2011 ◽  
Vol 52 (No. 4) ◽  
pp. 171-177
Author(s):  
W.M. Bhutta ◽  
M. Ibrahim ◽  
Tahira
Keyword(s):  
Survival Rate ◽  
Grain Yield ◽  
Osmotic Pressure ◽  
Leaf Area ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Leaf Venation ◽  
Positive Direct

An association between yield components and their direct and indirect influence on the grain yield of wheat were investigated. 24 breeding lines were tested in a randomized complete block experiment design with three replications. According to the results the phenotypic correlation among the traits and their path coefficient were estimated. Positive significant correlation coefficients were obtained for association between survival rate treatment I (0.35*) and III (0.34*), leaf venation (0.51*), stomatal frequency (0.39*), osmotic pressure (0.30*), flag leaf area (0.85*), number of tillers per plant (0.70*) with grain yield per plant at both phenotypic and genotypic levels. A negatively significant correlation between hygrophilic colloids (–0.15*) and epidermal cell size (–0.22*) with grain yield per plant was obtained at phenotypic and genotypic levels. Path coefficients were also computed to estimate the contribution of character to the yield. Path coefficient analysis revealed that flag leaf area (1.34), root/shoot ratio (0.51) and survival rate II (0.56) had the highest positive direct effects on grain yield, while hygrophilic colloids (–0.24) and osmotic pressure (–0.07) had a negative direct effect on grain yield. The results thus obtained suggested that flag leaf area is an important component of yield and hence needs a special attention in selection strategies.

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

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.

GENOTYPIC VARIATION IN SOME PHYSIOLOGICAL TRAITS IN WINTER WHEAT GROWN IN THE HUMID CONTINENTAL CLIMATE OF ONTARIO

1984 ◽  
Vol 64 (1) ◽  
pp. 113-118 ◽  
Author(s):  
I. AGUILAR-M. ◽  
L. A. HUNT
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Grain Yield ◽  
Morphological Traits ◽  
Flag Leaf ◽  
Genotypic Variation ◽  
Triticum Aestivum L ◽  
Eastern Canada ◽  
Area Index ◽  
Diffusive Resistance

Several experiments were conducted with winter wheat (Triticum aestivum L. em. Thell.) during 1978 and 1979 to characterize genotypic variation in some physiological and morphological traits, and to evaluate the magnitude of the relationships between grain yield and the various traits studied. Straw weights of cultivars grown in Eastern Canada were similar to, and harvest indices generally lower than, those reported for high yielding varieties from other countries. Highest grain weights were also lower than the upper values recorded for some cultivars in the U.K. and Mexico, and were little affected by spikelet removal in most cases. All experiments were consistent in showing highly significant correlations between grain yield and grains per square metre, straw weight, harvest index, spikes per square metre, and flag leaf area index, and significant correlations between grain yield and grain weight. Diffusive resistance of the adaxial surface of the flag leaves differed between genotypes, but correlations between diffusive resistance and yield were low and nonsignificant in all cases, with the exception of the preanthesis period in one experiment.Key words: Wheat (winter), Triticum aestivum L. em. Thell., yield, physiological-morphological traits.

Identification of quantitative trait loci for traits conferring weed competitiveness in wheat (Triticum aestivum L.)

2001 ◽  
Vol 52 (12) ◽  
pp. 1235 ◽  
Author(s):  
R. K. Coleman ◽  
G. S. Gill ◽  
G. J. Rebetzke
Keyword(s):  
Triticum Aestivum ◽  
Quantitative Trait Loci ◽  
Grain Yield ◽  
Quantitative Trait ◽  
Morphological Traits ◽  
Competitive Ability ◽  
Stem Elongation ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Ryegrass Growth

As weeds develop resistance to a broad range of herbicides, wheat (Triticum aestivum L.) cultivars with superior weed competitive capacity are needed to complement integrated weed management strategies. In this study, agronomic and morphological traits that enable wheat to compete effectively with weeds were identified. Halberd, Cranbrook, and 161 Cranbrook x Halberd doubled haploid (DH) lines were examined in field experiments conducted over two growing seasons. The weed species Lolium rigidum L. (annual ryegrass) was sown in strips perpendicular to the direction of wheat seeding. Various traits were measured during each season with competitive ability determined by both percent loss in wheat grain yield and suppression of ryegrass growth. Width of leaf 2, canopy height, and light interception at early stem elongation (Z31), and tiller number, height at maturity, and days to anthesis were important for competitive ability in 1999. In the previous year, length of leaf 2 and size of the flag leaf contributed to competitiveness. Seasonal effects appeared to have some impact on the relative contribution of crop traits to competitive ability. The morphological traits involved in maintaining grain yield differed from those that contributed to the suppression of ryegrass growth. Development of the Cranbrook x Halberd chromosomal linkage map enabled the putative identification of quantitative trait loci (QTL) associated with competitive ability in the DH population. Many of the QTL were mapped to similar positions in both years. Further, several traits, including time to anthesis, flag leaf size, height at stem elongation, and the size of the first 2 leaves, were mapped to similar positions on chromosomes 2B and 2D. Narrow-sense heritabilities on an entry-mean basis were typically high within each year for traits associated with weed competitive ability. However, large genotype x year interactions reduced these heritabilities, making genetic gain through phenotypic selection difficult. The identification of QTL repeatable over seasons indicates the potential for marker-assisted selection in a wheat breeding program selecting for improved grain yield and weed competitiveness.

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.

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