Genetic Variability, Correlation and Path coefficient analysis for Yield and Quality traits in Wheat (Triticum aestivum L.)

Kumari, Priti; De, Nitish; Kumar, Anand; Kumari, Anjali

doi:10.20546/ijcmas.2020.901.089

Cited by 7 publications

(7 citation statements)

References 1 publication

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“…These results are verified by the findings of Kumari et al (2020). Spike length showed highly negative association at genotypic level with number of tillers per plant.…”

Section: Resultssupporting

confidence: 80%

“…Spike length showed highly negative association at genotypic level with number of tillers per plant. Number of tillers per plant was in highest positive correlation with grain yield per plant (-0.490**) at phenotypic level (Kumar et al, 2019;Verma et al, 2019;Kumari et al, 2020). Correlation analysis does not provide the clear picture of the dependence of traits, as it does not allow to divide the correlation coefficient effects into direct and indirect effects of various traits at the dependent trait.…”

Section: Resultsmentioning

confidence: 98%

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

2022

DRCSF

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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.

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“…These results are verified by the findings of Kumari et al (2020). Spike length showed highly negative association at genotypic level with number of tillers per plant.…”

Section: Resultssupporting

confidence: 80%

Section: Resultsmentioning

confidence: 98%

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

2022

DRCSF

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“…DTB, DTH, DTA, DTM, CLC, GY and SW shows non-significant positive correlation and NSPS, NGPS, and ET non-significant negative correlation with PH. A similar result was reported by [22], [32]. The air temperature increased in late sowing stops vegetative development and shortens the organs [33].…”

Section: Plant Heightsupporting

confidence: 75%

Relationship between Wheat Yield and Yield Attributing Character at Late Sowing Condition

Jaisi

Thapa

Poudel

2021

Indonesian J. Agric. Res

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Correlation coefficient and path analysis were computed between yield and yield attributing trait among twenty genotypes of wheat. The research was conducted during winter season of 2020/2021 in the agronomic field of the Institute of Agriculture and Animal Science (IAAS), Bhairahawa, Nepal to identify the traits which influence the positive and negative relation to grain yield. Twenty genotypes of wheat were sown on 24th December 2020 on alpha lattice design with two replications. It has been found that under heat stress, DTB, DTH, DTM, CLC, PH, NGPS show a non-significant positive correlation with GY. Similarly ET shows a highly significant positive correlation to GY. However, SL, SW, TKW have a non-significant negative correlation with GY. In path analysis, DTM and ET have a positive direct effect on GY and DTH, SL, CLC and NGPS have an indirect effect on GY. Hence, the ET and DTM can be used to select wheat genotype for breeding purpose and studies to improve yield of genotypes under heat stress condition.

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“…The Harvest index expressed a positive significant association with grain yield per plant (0.538**). Grain yield was positively correlated with different quantitative traits in the findings of Kumar et al [34] and Kumari et al [35] with biological yield, harvest index, and tillers per meter, Ayer et al [36] and Rajput [26] with biological yield, harvest index and grains per spike and harvest index, Mecha et al [37] with number of spikelets per spike, 1000 grain weight and biomass yield. Selection for these characters can directly be followed for immediate yield improvement of wheat crop [38][39][40].…”

Section: Resultsmentioning

confidence: 98%

Genetic Variability and Character Association Analysis for Seed Yield and its Attributes in Wheat (Triticum aestivum L.)

Poonia

Kumar

et al. 2023

IJPSS

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Introduction: The experiment was conducted in Research Farm, Rani Lakshmi Bai Central Agricultural University, Jhansi, during Rabi season 2019-2020 using augmented block design in five blocks. The objective was to assess the genetic variability and character association analysis of eighty-two wheat genotypes. Methodology: Eighty-two genotypes including three checks (HI1544, DBW110, and GW322) observed its various quantitative traits for genetic variation, heritability, genetic advance, and character association. The observations were recorded on fifteen agro-morphological and physiological characters viz; days to 50 percent heading, days to maturity, canopy temperature (oC), chlorophyll content, flag leaf width (cm), flag leaf length (cm), tillers per meter, peduncle length (cm), plant height (cm), spike length (cm), awn length (cm), 1000-grain weight (g), grain yield per plant (g), biological yield per plant (g) and harvest index (%). Statistical analysis was carried out by R Programming and SAS version 9.2 statistical software. Results: The genotypes IC443619, IC6165734, and IC624496 were having earlier days to maturity than the best check DBW110. HD3086, K0307, PBW343, RAJ3, 765, and MACS6478 have been found promising for grain yield per plant. The highest Phenotypic coefficient of variation (PCV) and Genotypic coefficient of variation (GCV) were recorded for tillers per plant followed by awn length, peduncle length, flag leaf length, flag leaf width, plant height, and spike length. Heritability in broad sense wide ranged from 26.3 percent for canopy temperature to 95.63 percent for grain yield per plant. The grain yield per plant showed a positive and significant correlation with biological yield per plant, harvest index, and tillers per meter, whereas it showed a negative significant association with awn length. Conclusion: The relationship between grain yield per plant and biological yield per plant, harvest index, and tillers per metre was positive and significant, indicating that an increase in these component characteristics will also boost economic grain yield per plant.

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Genetic Variability, Correlation and Path coefficient analysis for Yield and Quality traits in Wheat (Triticum aestivum L.)

Cited by 7 publications

References 1 publication

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

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

Relationship between Wheat Yield and Yield Attributing Character at Late Sowing Condition

Genetic Variability and Character Association Analysis for Seed Yield and its Attributes in Wheat (Triticum aestivum L.)

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