scholarly journals Assessment of the relationship of yield and its contributing traits in wheat

2022 ◽  
pp. 4-10
Keyword(s):  
Grain Yield ◽  
Genetic Material ◽  
Spike Length ◽  
F1 Hybrids ◽  
Path Coefficient ◽  
Cereal Crop ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Relationship Of ◽  
The Relationship

Wheat is an essential source of nutrition for humans and an important cereal crop of Pakistan due to its widespread use as food. To fulfill the nutrition needs of boosted population, crop yield must be improved. In this perspective, we conducted the experiment reported in this paper to achieve correlation and path coefficient attributes given by yield-related traits. Our study enables to understand the association and contribution of nine traits toward grain production. The genetic material was comprised of seven parents and twelve F1 hybrids. Correlation analysis showed that grain yield per spike, thousand grain weight, spike length, and number of tillers per plant have positive and significant correlation with grain yield per plant, at both genotypic and phenotypic level. Path coefficient analysis revealed that direct effects of number of tillers per plant, grain yield per spike, and spike length were positive. This data persuaded that selection based on these traits could be useful for breeding purposes to higher grain yield.

scholarly journals Genetic correlations and path-coefficient analysis of yield and quality components in wheat, Triticum aestivum L.

Genetika ◽  
2004 ◽  
Vol 36 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Veselinka Zecevic ◽  
Desimir Knezevic ◽  
Danica Micanovic
Keyword(s):  
Genetic Correlation ◽  
Harvest Index ◽  
Genetic Correlations ◽  
Grain Weight ◽  
Spike Length ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Bread Making

The genetic and phenotypic correlations between yield components (productive tillering, plant height, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, grain weight per plant, harvest index, thousand grain weight) and quality components (grain protein content and sedimentation value) were investigated. The plant material was comprised of 50 genotypes of winter wheat grown during two years. Path- coefficient analysis of genetic correlation coefficients for grain mass/plant and other traits determined interrelationships among grain mass per plant and other yield and bread making quality components. The strongest positive genetic correlation was found between grain weight per spike and thousand grain weight and between spike length and number of spikelets per spike. Phenotypic correlation analysis indicated that grain weight per spike correlated positively and significantly with harvest index and thousand kernel weight. The strongest direct effect on grain weight per plant had harvest index and number of spikelets per spike. The spike length through number of spikelets per spike had the strongest indirect effect on grain weight per plant.

scholarly journals Study on relationship and selection index for yield and yield contributing characters in spring wheat

1970 ◽  
Vol 8 (2) ◽  
pp. 191-194
Author(s):  
MF Ferdous ◽  
AKM Shamsuddin ◽  
D Hasna ◽  
MMR Bhuiyan
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Selection Index ◽  
Grain Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Wheat Genotypes ◽  
Selection Indices ◽  
Days To Maturity ◽  
The Relationship

The present study was conducted with twenty bread wheat genotypes at the experimental field of Bangladesh Agricultural University (BAU), Mymensingh, during the period from November 2008 to March 2009 to assess the relationship and selection index among yield and important yield attributing characters. Days to maturity, grains per spike, 100-grain weight and harvest index showed significant and positive correlation with grain yield per plant. Path coefficient analysis suggested that grains per spike followed by 100-grain weight and effective tillers per plant contributed maximum to grain yield positively and directly. Thus, selection based on these characters might be effective for improving grain yield. Selection indices were constructed through the discriminate functions using eight characters. From the results, the highest relative efficiency was observed with the selection index based on three characters; plant height and grains per spike and grain yield per plant. The present investigation indicates that the index selection based on these three characters might be more effective and efficient for selecting high yielding wheat genotypes. Keywords: Spring wheat; Relationship; Selection index; Yield contributing characters DOI: 10.3329/jbau.v8i2.7923 J. Bangladesh Agril. Univ. 8(2): 191-194, 2010

scholarly journals Study of Correlation and Path Analysis Between Grain Yield and Yield Related Traits in Wheat

2018 ◽  
Vol 7 (1) ◽  
pp. 57-67
Author(s):  
Maysoun M. S. ◽  
Salih H. F. Al-salim ◽  
Reem Al-edelbi ◽  
Naoman S. M.
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Block Design ◽  
Grain Weight ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Grain Number Per Spike ◽  
Correlation And Path Analysis ◽  
Corporate Effect

Agricultural experiment carried out during the 2014-2015agricultural season winter wheat planting classAba99in tow sites Al-Shattra and Al-Dwayah in Al-NaseriahExplanatory farmers' fields covered by the national program for the development of the cultivation of wheat in Iraq and four treatments were applied on wheat(Laser plus weed controlling, Laser plus weed controlling plus sulfur, Laser plus weed controlling plus sulfur plus other elements, Control for comparing), in Randomized Complete Block Design RCBD with three replications, Correlations and path coefficient analysis between (number of brunches, Spike Length, number of spikes/m2, grains number per spike, thousand grain weight and plant grain yield), Results showed that grain yield  had a positive significant correlation with each of number of spikes/m2 and grains number per spike (0.711**, 0.465**) respectively.Results of path coefficient analysis showed that the direct effect of number of spikes/m2  on grain yield was high and positive(0.5350), while the indirect effectsfor each of number of brunches and number of grains  per spike and thousand grain weight on grain yield wasmedium and positive (0.2571, 0.2557, 0.2434) respectively, and also the indirect effect for grain number per spike on grain yield through number of spikes/m2 was positive and medium(0.2479). Results also showed that number of spikes/m2 had  the highest contribution in yield as a direct effect 28.621%, followed by the corporate effect of number of spikes/m2  and number of grains in spike12.674%

scholarly journals Genotypic correlation and path coefficient analysis for yield and yield contributing traits in released varieties of barley (Hordeum vulgare L.) under partially reclaimed saline sodic soil

2017 ◽  
Vol 9 (1) ◽  
pp. 192-195
Author(s):  
Arun Kumar ◽  
Jaydev Kumar ◽  
Baudh Bharti ◽  
P. N. Verma ◽  
J. P. Jaiswal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Direct And Indirect Effects ◽  
Path Coefficient Analysis ◽  
Hordeum Vulgare L ◽  
Sodic Soil ◽  
Relationship Of ◽  
1000 Grain Weight

This research sought to determine the correlations between grain yield and its contributing traits and to measure the direct and indirect effects on grain yield in barley. Sixty four released varieties were grown under par-tially reclaimed saline- sodic soil, under irrigated conditions during rabi 2010-11. The grain yield per plant showed highly significant and positive correlation with 1000 grain weight (0.517), plant height (0.460), length of main spike (0.459), fertile tillers per plant (0.385), and grains per main spike (0.366). On the basis of relationship of grain yield with yield contributing traits, we can select the best genotype and can be utilised in breeding program.

scholarly journals Correlation and path coefficient analysis for yield and its attributing traits in bread wheat (Triticum aestivum L. em Thell)

2018 ◽  
Vol 10 (4) ◽  
pp. 1078-1084 ◽  
Author(s):  
Tabassum Ahmad ◽  
Anil Kumar ◽  
Deepanker Pandey ◽  
Birendra Prasad
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Block Design ◽  
Selection Criterion ◽  
Triticum Aestivum L ◽  
Spike Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Biological Yield ◽  
Positive Direct

Grain yield is a complex quantitative trait and influenced by a number of attributes. To obtain higher yield information regarding association of these attributes with yield can serve as a basis in a breeding programme. The present experiment was undertaken to estimate correlation coefficients between grain yield and different contributing characters and divide this association into direct and indirect effects through path coefficient analysis. The experiment was laid-out with three replications in randomized block design using 51 bread wheat genotypes and data were recorded for fourteen metric traits. Results revealed that grain yield per plant possessed highly significant positive associations with biological yield per plant (0.787 and 0.606), number of spikelets per spike (0.565 and 0.358), number of tillers per plant (0.500 and 0.383) and spike length (0.320 and 0.297) at both genotypic as well as phenotypic level respectively. Biological yield per plant (1.125) exhibited highest positive direct effect on grain yield followed by harvest index (0.678), number of spikelets per spike (0.109), days to maturity (0.100) and spike length (0.060). Therefore, these characters can serve as a selection criterion for further improvement in grain yield of wheat.

scholarly journals Evaluation of Underutilized Kodo Millet (Paspalum scrobiculatum L.) Accessions using Morphological and Quality Traits

2020 ◽  
Author(s):  
V. Nirubana ◽  
R. Ravikesavan ◽  
K. Ganesamurthy
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Association Studies ◽  
Antioxidant Properties ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Wide Range ◽  
Kodo Millet ◽  
Inflorescence Length

Background: Kodo millet is an important drought tolerant crop and has high nutritional values, dietary fiber and antioxidant properties. It has considerable production potential in marginal and low fertility soils under diverse environmental conditions. Considering the importance of the crop, it is necessary to improve the nutritional quality along with grain yield of the crop. With this background, the investigation was aimed to study the correlation and path coefficient analysis which helps to identify the promising traits for yield and quality improvement. Methods: One hundred and three kodo millet germplasm lines were evaluated for 13 morpho-agronomic and two grain nutritional traits. The crop was raised in randomized block design to select the promising genotypes and to study the association among the traits and the magnitude of direct and indirect effects for fifteen quantitative traits. Result: Based on the overall mean performance the significant genotypes were identified and found wide range of variability for different traits. Character association studies indicated that days to first flowering, days to 50 per cent flowering, plant height, number of productive tillers, peduncle length, inflorescence length, length of the longest raceme and thumb length were significantly positive association with grain yield per plant. Path coefficient analysis revealed that inflorescence length, plant height, length of the longest raceme, flag leaf blade length and number of productive tillers exhibited high direct positive effect on grain yield. Therefore, giving importance of these traits during selections may be useful for developing nutritionally superior high yielding kodo millet genotypes.

scholarly journals Pre-anthesis development of winter wheat and barley and relationships with grain yield

2018 ◽  
Vol 64 (No. 7) ◽  
pp. 310-316 ◽  
Author(s):  
Mirosavljevic Milan ◽  
Momcolovic Vojislava ◽  
Maksimovic Ivana ◽  
Putnik-Delic Marina ◽  
Pržulj Novo ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Sowing Date ◽  
Wheat Cultivars ◽  
Growing Seasons ◽  
Sowing Dates ◽  
Winter Wheat Cultivars ◽  
Leaf Appearance ◽  
Relationship Of ◽  
The Relationship

The aim of this study was to improve understanding of (1) the effect of genotypic and environmental factors on pre-anthesis development and leaf appearance traits of barley and wheat; (2) the relationship of these factors with grain yield, and (3) the differences between these two crops across different environments/sowing dates. Therefore, trials with six two-row winter barley and six winter wheat cultivars were carried out in two successive growing seasons on four sowing dates. Our study showed that the observed traits varied between species, cultivars and sowing dates. In both growing seasons, biomass at anthesis and grain yield declined almost linearly by delaying the sowing date. There was no clear advantage in grain yield of wheat over barley under conditions of later sowing dates. Generally, barley produced more leaf and had shorter phyllochron than wheat. Both wheat and barley showed a similar relationship between grain yield and different pre-anthesis traits.

scholarly journals Correlation and Path Coefficient Studies in F2 Populations of Rice

2012 ◽  
Vol 4 (2) ◽  
pp. 124-127 ◽  
Author(s):  
Ghaffar KIANI ◽  
Ghorbanali NEMATZADEH
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Selection Criteria ◽  
Stepwise Regression ◽  
Path Coefficient ◽  
Direct Effects ◽  
Panicle Length ◽  
Path Coefficient Analysis ◽  
Yield Variation ◽  
Rice Genotypes

This study performed to determine the association between grain yield and yield components in fifty-four selected rice genotypes at F2 populations. Results showed that traits, the panicles per plant (r = 0.751) and filled grains per panicle (r = 0.458) correlated significantly with grain yield, while grain yield was negatively associated with non-filled grains per panicle (-0.297). Path coefficient analysis revealed that grain yield was associated with panicles per plant and filled grains per panicle with the direct effects of 0.691 and 0.568, respectively. The greatest indirect effect belonged to panicle length (0.301) through filled grains per panicle. Stepwise regression analysis showed that 72.1 percent of yield variation could be explained by three characters: the panicles per plant, filled grains per panicle and panicle length. Information obtained in this study revealed that traits, the panicles per plant and filled grains per panicle, could be used as selection criteria for grain yield improvement at segregating populations of rice.

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