Path Analysis and Genetic Parameters for Grain Yield in Bread Wheat (Triticum aestivum L.)

Rajput, Rahul Singh

doi:10.9734/arrb/2019/v31i330050

Cited by 23 publications

(28 citation statements)

References 3 publications

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“…The wheat cultivar DPW-621-50 was used to generate a mutant population. Seeds of DPW-621-50 were soaked in 0.7% (v/v) EMS solution (Sigma-Aldrich®) and kept at 75 rpm on a shaker overnight at room temperature (Dong et al, 2009 [4] ; Uauy et al, 2009) [4,13] . After EMS treatment, the seeds were thoroughly washed under running tap water for 6 h and then sown in the field at Norman E. Borlaug Crop Research Centre G.B.P.U.A.T, Pantnagar.…”

Section: Methodsmentioning

confidence: 99%

Path analysis studies of EMS-mutagenized mutant population of hexaploid wheat (Triticum aestivum L.)

Bisht¹,

Dhaka²,

Kumar³

et al. 2020

Int. J. Chem. Stud.

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Section: Methodsmentioning

confidence: 99%

Path analysis studies of EMS-mutagenized mutant population of hexaploid wheat (Triticum aestivum L.)

Bisht¹,

Dhaka²,

Kumar³

et al. 2020

Int. J. Chem. Stud.

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“…Residual effects with 0.042 indicated that the studied eight characters account for about 95.68 % of the variability in the grain yield. In previous studies, major portion of total variability in grain yield was owing to characters such as spikes number, grain number and weight Mohamed, 2018 andRajput, 2019); grain-filling period and plant height (Mecha et al, 2017;Sabit et al, 2017 andBaye et al, 2020). Moreover, negative direct effect of days to maturity on grain yield was also reported (Dabi et al, 2016;Mecha et al, 2017;Sabit et al, 2017;Rajput, 2019;Baye et al, 2020 andKhanala et al, 2020).…”

Section: F3 Generationmentioning

confidence: 99%

Improvement of Yield, Rust Resistance and Grain Quality Characters in Bread Wheat Cross Sids 12 X Misr 3 تحسین صفات المحصول، مقاومة الأصداء وجودة الحبوب فی هجین قمح الخبز سدس 12 × مصر 3

Farhat¹,

Mohamed

Ashmawy

2020

Journal of Plant Production

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Bread wheat cross Sids 12 x Misr 3 was studied in F1, F2, F3 and F4 generations to develop promising genotypes for improvement of grain yield, rust resistance and grain quality. The two parents differed significantly for most characters under study showing sufficient variability in F2 and F3 generations to calculate the genetic parameters. The genetic variances indicated important role coupled with moderate to high broad sense heritability for most studied characters in F2 and F3 generations. Both grain filling rate and number of spikes m-2 were the most important characters in selection for high grain yield in F3 generation. Rust resistance in the two parents was controlled by one dominant gene for yellow rust, two dominant genes for leaf rust and two complementary dominant genes for stem rust. Thirty-seven families out of 100 families were superior for grain yield, but the susceptibility of the three rusts eliminated 17 families and only 20 families were resistant or moderately resistant to the three rusts. Five out of the selected 20 families had good grain quality characteristics. In F4 generation, five wheat plants characterized by an adequate resistance to the three rusts and good agronomic characters were selected for further evaluation as F5 lines.

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“…Line by tester technique is an effective tool and has been widely used to assess different parental populations for combining ability, gene action, and to select promising genotypes for developing new wheat cultivars (Tiwari et al, 2017;Rajput, 2019). Combining ability can be divided into general combining ability (GCA) which is due to the additive type of gene action while specific combining ability (SCA) indicates the dominant gene action (Sprague and Tatum, 1942;Younas et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Benthic Macroinvertebrates and Physicochemical Variables of Streams in the Guli River National Wetland Park, Greater Khingan Mountains, Northeast China

2020

THE JAPS

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In the current breeding program, the development of new wheat genotypes with greater genetic potential has become an enduring target to assist in food security. Wheat breeders are also trying to develop such genotypes that can fetch maximum return with limiting resources. Line-by-tester combining ability analysis was carried out during 2015-2018 to determine the genetic divergence, general and specific combining ability (GCA and SCA) among lines, testers, and line by tester interactions, and legacy of agronomic traits in wheat. Six wheat lines i.e., IBWSN-177, IBWSN-52, IBWSN-131, SRN-09111, PR-107, and NR-21, and three testers i.e., Pirsabak-15, Shahkar-13, and Pakhtunkhwa-15 were crossed in a line by tester mating fashion. After advancing the generation, eighteen F2 populations and nine parental genotypes were grown in a randomized complete block design with three replications and assessed through line by tester combining ability. Analysis of variance revealed significant (p≤0.01) variations among genotypes (parental cultivars and F2 populations) for the studied traits. According to combining ability analysis, lines revealed significant (p≤0.01) variances for days to heading and harvest index, while merely significant (p≤0.05) for plant height and flag leaf area. However, line by tester interactions revealed significant (p≤0.01) differences for all the variables. Parental genotypes IBWSN-131, Shahkar-13, and F2 populations IBWSN-131 × Pakhtunkhwa-15, IBWSN-131 × Shahkar-13, and PR107 × Shahkar-13 were identified as promising general and specific combiners which performed better for earliness and yield traits. High by high, high by low and low by high general combiners were involved in F2 populations with promising SCA and best mean performance. In comparative involvement to the total variance, the lines and L × T F2 populations had a maximum share for the majority of the traits. Ratios of GCA to SCA variances and degree of dominance revealed that all the traits were managed by dominant gene action. Non-additive gene action suggested that selection of promising populations should be postponed to later segregating generations for further improvement.

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Path Analysis and Genetic Parameters for Grain Yield in Bread Wheat (Triticum aestivum L.)

Cited by 23 publications

References 3 publications

Path analysis studies of EMS-mutagenized mutant population of hexaploid wheat (Triticum aestivum L.)

Path analysis studies of EMS-mutagenized mutant population of hexaploid wheat (Triticum aestivum L.)

Improvement of Yield, Rust Resistance and Grain Quality Characters in Bread Wheat Cross Sids 12 X Misr 3 تحسین صفات المحصول، مقاومة الأصداء وجودة الحبوب فی هجین قمح الخبز سدس 12 × مصر 3

Benthic Macroinvertebrates and Physicochemical Variables of Streams in the Guli River National Wetland Park, Greater Khingan Mountains, Northeast China

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