Estimation of Genetic Variability and Heritability in Bread Wheat under Abiotic Stress

Kumar, Jaydev

doi:10.18782/2320-7051.2475

Cited by 9 publications

(5 citation statements)

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“…Based on results obtained from present study, it is concluded that superior cross combination/genotypes as per breeding object of breeder can be utilized for development of wheat genotypes for different environments. These findings supported by Kumar et al, (2013), Kumar et al, (2014), Kumar et al, (2016) and Kumar et al, (2017).…”

Section: Protein Content and Grain Yield Per Plantsupporting

confidence: 80%

F2 Generation and their Parental Performance of Bread Wheat (Triticum aestivum L.) under Abiotic Stress

Kumar¹,

Kumar²,

Singh³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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Section: Protein Content and Grain Yield Per Plantsupporting

confidence: 80%

F2 Generation and their Parental Performance of Bread Wheat (Triticum aestivum L.) under Abiotic Stress

Kumar¹,

Kumar²,

Singh³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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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: 99%

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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“…The coefficient of variation of CTD in different studies ranges from middle (10-14 % (Sharma P. et al, 2017;Jokar et al, 2018)) to high (26-43 % (Kumar et al, 2017;Sharma D. et al, 2018)). Dryland conditions make CTD values negative (Thapa et al, 2018) and increase genotypic differences (Pinto et al, 2010).…”

Section: Variation and Heritability Of Ctdmentioning

confidence: 99%

“…Some research suggests that canopy temperature has a larger genetic value -if compared to direct selection based on yield and other traits -as it is an indirect index to the selection of certain types of cultivars and shows higher heritability and genetic correlation with yield (Rebetzke et al, 2013). Alt hough some studies put CTD heritability at 0.65-0.80 (Kumar et al, 2017;Khan et al, 2020), there is a vast amount of research that calculates heritability for both CTD and yield and concludes that the latter has the larger heritability (see the Table ).…”

Section: Variation and Heritability Of Ctdmentioning

confidence: 99%

Canopy temperature depression for droughtand heat stress tolerance in wheat breeding

Лепехов

2022

Vestn. VOGiS

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An infrared thermometer was first used to assess drought and heat tolerance in plant breeding more than 40 years ago. Soon afterward, this method became widely used throughout the world. However, Russia has not yet applied the described method for evaluating stress tolerance. This paper presents an overview of using infrared thermometry in plant breeding. Taking wheat as an example, it shows major advantages and disadvantages of canopy temperature depression (CTD) values measured by the infrared thermometer. The paper also demonstrates that genotypes with higher CTD values, and therefore with a lower canopy temperature, use more available soil moisture under drought stress to cool the canopy by transpiration. It refers to CTD as an integrative trait that reflects an overall plant water status. Its coefficient of variation lies in the interval of 10 to 43 %. A large number of publications illustrate a close relation between CTD values and yield and indicate a high heritability of the former. Meanwhile, the same works show that yield has a higher heritability. Moreover, some researchers doubt that CTD should be used in applied wheat breeding as there are many factors that influence it. CTD has a high correlation with other traits that reflect plant water status or their adaptation to drought or heat stress. Quantitative trait loci (QTLs) associated with CTD are localized in all chromosomes, except for 3D. These QTLs often explain a small part of phenotypic variance (10–20 %, more likely less than 10 %), which complicates the pyramiding of canopy temperature genes through marker-assisted selection. The paper concludes that the evaluation of CTD appears to be a reliable, relatively simple, labor-saving, objective, and non-invasive method that sets it apart from other methods as well as shows the best results under terminal drought and heat stress conditions.

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Estimation of Genetic Variability and Heritability in Bread Wheat under Abiotic Stress

Cited by 9 publications

References 0 publications

F2 Generation and their Parental Performance of Bread Wheat (Triticum aestivum L.) under Abiotic Stress

F2 Generation and their Parental Performance of Bread Wheat (Triticum aestivum L.) under Abiotic Stress

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

Canopy temperature depression for droughtand heat stress tolerance in wheat breeding

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