Combining Ability Analysis for Yield and its Components in Bread Wheat (Triticum aestivum L.) under Abiotic Stress

Kumar, Jaydev; Singh, Sanjay K.; Singh, Lokendra; Kumar, Mukul; Srivastava, Meera; Singh, Jashanpreet; Kumar, Arun

doi:10.20546/ijcmas.2017.603.003

Cited by 8 publications

(10 citation statements)

References 6 publications

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“…The analysis of variance due to line x tester were significant for all characters except protein percent. Singh et al(2007) [14] and Kumar et al(2018) [8] also reported similar results.The knowledge of combining ability is a prerequisite to isolate the best specific combination and to study the combining ability of the parents with diverse genetic background. The gca effect is controlled by fixable additive genes and high gca would produce transgressive segregates in F2 or latter generation.…”

Section: Resultsmentioning

confidence: 52%

Combining ability for yield and it’s contributing traits in wheat under heat stress condition (Triticum aestivum L.)

Bhalerao¹,

Bharad²,

Potdukhe³

et al. 2020

Int. J. Chem. Stud.

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Six lines and eight crosses were crossed in line x tester fashion to determine the general and specific combining ability variances for yield and yield contributing traits in wheat. The Analysis of Variance indicated that the differences due to crosses were significant for all the characters except protein percent. This indicated the presence of substantial genetic variability among the crosses for these characters. Among the parents two lines (AKAW-4627 and AKAW-4927) and two testers (C-306 and DHTW-60) are found to be good general combiners for yield per plant along with the most of the yield contributing traits. Thus, these parents should be included in further hybridization programme. The highest significant sca effect for grain yield was recorded by the cross AKAW-5023 x WH-7304 followed by AKAW-4627 x C-306, AKAW-4627 x DHTW-60, AKW-1071 x AKW-2862-1, NIAW-34 x AKAW-3717. The crosses AKW-1071 x HTW-11 and PDKV-Sardar x HINDI-62 recorded highly significant sca effects for protein percent and β-carotene content respectively. Among the genotypes AKAW-4627 x C-306, AKAW-4627 x DHTW-60 and AKAW-4927 x DHTW-60 are identified as best combiners for yield and yield contributing traits.

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Section: Resultsmentioning

confidence: 52%

Combining ability for yield and it’s contributing traits in wheat under heat stress condition (Triticum aestivum L.)

Bhalerao¹,

Bharad²,

Potdukhe³

et al. 2020

Int. J. Chem. Stud.

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“…Wheat ( Triticum aestivum L.) is the world's leading cereal grain, used by more than one third of its population as a staple food (Kumar et al., 2011). It provides over 21% of the food calories and 20% of the protein to more than 4.5 billion people, thereby playing a fundamental role in food security (Braun et al., 2010).…”

Section: Introductionmentioning

confidence: 99%

Impact of managing yellow rust (Puccinia striiformis f.sp. tritici) by the use of fungicide sprays and resistant varieties on the physiochemical qualities of bread wheat

Kebede,

Shikur,

Handaro

2024

Food and Energy Security

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Yellow rust disease caused by Puccinia striiformis f. sp. tritici is one of the major threats to wheat production in Ethiopia. In this paper, the impact of yellow rust on the physical qualities of bread wheat was studied. For this purpose, combinations of four bread wheat varieties (Digalu, Hidase, Danda'a, and Honkolo) and two fungicides (Nativo SC 300 and Tilt® 250E.C.) were tested at two different hotspot areas (Albazar and Alicho) in the Silte Zone, Southern Ethiopia, under natural epidemics of the disease during the 2018 growing season. A randomized complete block design in factorial arrangement with three replications was used to set up the experiment. A significant (p < .01) increase in hectoliters weight and wet gluten content were observed due to the application of Nativo SC 300; however, grain protein content did not respond significantly (p > .01) at both locations. Wheat varieties with high yellow rust severity exhibited maximum values of area under the disease progress curve and physical quality loss percentage (%). The highly susceptible wheat variety Digalu exhibited the highest values of hectoliter weight losses (%), and the actual losses ranged from 5.5% to 29.5%. Except for grain protein content, there was a significant negative correlation between the values of terminal rust severity, average coefficient infection, and area under the disease progress curve and that of hectoliters weight and wet gluten content, with correlation coefficients ranging from −0.85** to −0.33**. It is possible to improve the physiochemical properties of bread wheat through the application of foliar fungicides by selecting the appropriate genotypes that have an acceptable level of resistance to yellow rust.

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“…In wheat, several researchers have obtained information on the combining ability and gene action through diallel analysis and traits association (Ullah et al, 2010, Srivastava et al, 2012, and Kumar et al, 2017 In a crop improvement program, the genetic advancement of cultivars could be driven by the detection and isolation of valuable gene combination through exploring favorable combining abilities. The lines which produce good progenies on crossing are of immense value to the plant breeders.…”

Section: Introductionmentioning

confidence: 99%

COMBINING ABILITIES OF SPRING WHEAT (Triticum aestivum L.) FOR GRAIN YIELD AND RELATED TRAITS

Mahmud,

Shahariar Sifat,

Hossain

et al. 2023

FPBJ

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An 8 x 8 F 2 spring wheat (Triticum aestivum L.) half diallel population with respective parents was assessed in a field trial at the field laboratory of the department of genetics and plant breeding at the Bangladesh Agricultural University, Mymensingh, during the period from November 2016 to April 2017, following a randomized complete block design (RCBD). The research objectives were to discover the combining abilities of grain yield and its associated traits. Significant variations among the genotypes were observed for different traits viz., number of spikes plant -1 , length of spike (cm), number of spikelets spike -1 , plant height (cm), straw grain weight (gm), number of grains spike -1 , 1000 grain weight (gm), yield plant -1 (gm), harvest index (%), and grain yield in hectare. The genetic analysis following Griffing's approach revealed significant additive and non-additive gene actions, with a preponderance of both additive and non-additive genetic components for regulating different traits. For grain yield plant -1 BARI Gom 27 and Kheri were observed as the best general combiners whereas BARI Gom 21 × BARI Gom 27 and Kheri × BARI Gom 30 exhibited as the best heterotic patterns. All of the traits investigated had a significant positive correlation with yield plant -1 . BARI Gom 21 × BARI Gom 27 and Kheri × BARI Gom 30 were the top yielding cross combinations on the basis of combining ability among the studied genotypes. Those cross combinations may be used for hybrid crop development or to extract transgressive segregants in developing high-yielding bread wheat cultivars.

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Combining Ability Analysis for Yield and its Components in Bread Wheat (Triticum aestivum L.) under Abiotic Stress

Cited by 8 publications

References 6 publications

Combining ability for yield and it’s contributing traits in wheat under heat stress condition (Triticum aestivum L.)

Combining ability for yield and it’s contributing traits in wheat under heat stress condition (Triticum aestivum L.)

Impact of managing yellow rust (Puccinia striiformis f.sp. tritici) by the use of fungicide sprays and resistant varieties on the physiochemical qualities of bread wheat

COMBINING ABILITIES OF SPRING WHEAT (Triticum aestivum L.) FOR GRAIN YIELD AND RELATED TRAITS

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