Comparison of various methods of selecting parents for hybridization in common bread wheat (Triticum aestivum L.)

1973 ◽  
Vol 24 (4) ◽  
pp. 457 ◽  
Author(s):  
GM Bhatt
Keyword(s):  
Triticum Aestivum ◽  
Multivariate Analysis ◽  
Bread Wheat ◽  
Conventional Method ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Breeding Programme ◽  
Analysis Method ◽  
Yield Improvement ◽  
Random Method

A study was conducted with the objective of rationalizing the method of choosing parents for hybridization in a wheat breeding programme aimed at yield improvement. The various systems of selecting parents included (a) conventional method, (b) random method, (c) multivariate analysis method, and (d) according to ecogeographic diversity. The relative merits of these systems was measured by (i) F2 hybrid bulk yield, (ii) means and variances of yield of F5 lines, and (iii) the number of useful transgressive segregates for yield detected in F5. The application of multivariate analysis method of selecting parents and effecting crosses between the parents representing high intergenotypic divergence appeared to be more efficient than the method of selecting parents according to ecogeographic diversity. The conventional and random methods were relatively less efficient.

scholarly journals Selection Indices for Yield Improvement in Bread Wheat (Triticum aestivum L.)

2016 ◽  
Vol 10 (4) ◽  
pp. 2801-2805
Author(s):  
Ashok Malav ◽  
Indu Indu ◽  
B A Monpara ◽  
Satyendra Raghuwanshi
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Yield Improvement ◽  
Selection Indices

Screening of bread wheat (Triticum aestivum L.) genotypes under drought stress conditions using multivariate analysis

2020 ◽  
Vol 48 (3) ◽  
pp. 301-308 ◽  
Author(s):  
M. Arifuzzaman ◽  
S. Barman ◽  
S. Hayder ◽  
M. A. K. Azad ◽  
M. T. S. Turin ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Multivariate Analysis ◽  
Drought Stress ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Stress Conditions

scholarly journals Estimation of grain productivity and biochemical indicators of the winter bread wheat varieties depending on the forecrop

2021 ◽  
Vol 273 ◽  
pp. 01027
Author(s):  
Оlesya Nekrasova ◽  
Nina Kravchenko ◽  
Dmitry Marchenko ◽  
Evgeny Nekrasov
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Agricultural Research ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Wheat Varieties ◽  
Biochemical Indicators ◽  
Winter Bread Wheat ◽  
Grain Productivity ◽  
Study Results

The purpose of the study was to estimate the effect of sunflower and pea on the amount of productivity, protein and gluten percentage in grain. The objects of the study were 13 winter bread wheat varieties (Triticum aestivum L.) developed by the Agricultural Research Center “Donskoy”. The study was carried out in 2018-2020 on the fields of the department of winter wheat breeding and seed production. The forecrops were peas and sunflower. The study results showed that the varieties ‘Volny Don’ (6.1 t / ha), ‘Krasa Dona’ (6.1 t / ha) and ‘Lidiya’ (6.0 t / ha), when sown after peas, gave the largest yields. The varieties ‘Volny Don’ (4.9 t / ha) and ‘Polina’ (4.8 t / ha) which were sown after sunflower, showed the best productivity. The analysis of qualitative indicators established that the maximum percentage of protein and gluten in grain was identified in the varieties ‘Podarok Krymu’ (16.3%; 28.3%) and ‘Volnitsa’ (16.1%; 28.5%), which were sown after peas; and the same varieties showed good results (‘Podarok Krymu’ (16.2%; 27.4%) and ‘Volnitsa’ (15.7%; 27.8%)), when sown after sunflower.

An application of multivariate analysis to selection for quality characters in wheat

1976 ◽  
Vol 27 (1) ◽  
pp. 11 ◽  
Author(s):  
GM Bhatt
Keyword(s):  
Triticum Aestivum ◽  
Multivariate Analysis ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Environmental Stability ◽  
Quality Performance ◽  
Wheat Breeding Program ◽  
Selection For ◽  
The Stability ◽  
Clustering Pattern

A set of 12 genotypes of bread wheat (Triticum aestivum L.) was grown in four different environments involving sites and years. Multivariate analysis according to the D2 technique was performed on six quality characters measured on material harvested from each environment and on the data pooled over four environments. The analysis offered meaningful grouping criteria with regard to quality performance. The clustering pattern was stable in different environments. This environmental stability was found to be independent of the stability of six individual characters. The application of multivariate analysis to selection for quality characters in a wheat breeding program is discussed.

scholarly journals Genetic diversity of gliadin-coding alleles in bread wheat (Triticum aestivum L.) from Northern Kazakhstan

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7082 ◽  
Author(s):  
Maral Utebayev ◽  
Svetlana Dashkevich ◽  
Nina Bome ◽  
Kulpash Bulatova ◽  
Yuri Shavrukov
Keyword(s):  
Genetic Diversity ◽  
Triticum Aestivum ◽  
Bread Wheat ◽  
Polyacrylamide Gel Electrophoresis ◽  
Germplasm Collection ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Spring Bread Wheat ◽  
Northern Kazakhstan

Background Spring bread wheat (Triticum aestivum L.) represents the main cereal crop in Northern Kazakhstan. The quality of wheat grain and flour strongly depends on the structure of gluten, comprised of gliadin and glutenin proteins. Electrophoresis spectra of gliadins are not altered by environmental conditions or plant growth, are easily reproducible and very useful for wheat germplasm identification in addition to DNA markers. Genetic polymorphism of two Gli loci encoding gliadins can be used for selection of preferable genotypes of wheat with high grain quality. Methods Polyacrylamide gel electrophoresis was used to analyse genetic diversity of gliadins in a germplasm collection of spring bread wheat from Northern Kazakhstan. Results The highest frequencies of gliadin alleles were found as follows, in Gli1: -A1f (39.3%), -B1e (71.9%), and -D1a (41.0%); and in Gli-2: -A2q (17.8%), -B2t (13.5%), and -D2q (20.4%). The combination of these alleles in a single genotype may be associated with higher quality of grain as well as better adaptation to the dry environment of Northern Kazakhstan; preferable for wheat breeding in locations with similar conditions.

scholarly journals Polymorphism of microsatellite loci in bread wheat (Triticum aestivum L.) and related species

2016 ◽  
pp. 81-89
Author(s):  
Ankica Kondic-Spika ◽  
Srbislav Dencic ◽  
Novica Mladenov ◽  
Dragana Trkulja ◽  
Sanja Mikic ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Microsatellite Loci ◽  
Related Species ◽  
Gene Diversity ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Wild Relatives ◽  
A Genome ◽  
In The Wild

This study analysed polymorphism of 15 microsatellite loci in the col?lection comprising of 40 genotypes of bread wheat (Triticum aestivum L.), 32 genotypes belonging to other species within Triticum genus and 3 genotypes from Aegilops genus. The results showed significant differences in the variability of the tested loci in bread wheat and related species. In the collection of bread wheat genotypes, 119 alleles were detected with the average number of 7.9 alleles per locus. In wild and cultivated related species 157 alleles were identified, with the average of 10.5 alleles per locus. All analysed parameters of micro?satellite loci variability (PIC value, gene diversity, heterozygosity, etc.) indicated higher level of polymorphism in wild relatives than in the cultivated bread wheat. Analyses of individual genomes indicated that in the bread wheat genetic diversity of the B and D genomes was significantly reduced in relation to the A genome, while the differences in polymorphism between genomes in the wild relatives were significantly lower. The results showed that wild related species can be used as sources for new variability in wheat breeding.

scholarly journals Genetic Variability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes for Morpho-Physiological Characters and Grain Micronutrient Content

2020 ◽  
pp. 1-8
Author(s):  
Mainak Barman ◽  
Vinay Kumar Choudhary ◽  
Satish Kumar Singh ◽  
Mithilesh Kumar Singh ◽  
Rabiya Parveen
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Flag Leaf ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Wheat Breeding ◽  
Genetic Enhancement ◽  
Phenotypic Variance ◽  
Genetic Advance ◽  
Randomized Block Design

An experiment was performed taking 30 bread wheat (Triticum aestivum L.) genotypes in the experimental area of Wheat Breeding section of DRPCAU, Pusa, Samastipur, Bihar during the Rabi season of 2019-20 to assess the genotypic and phenotypic variance, genotypic and phenotypic coefficient of variability, heritability, and genetic advance as per cent of mean. Observations were documented for fifteen characters. The evaluation was accomplished in Randomized Block Design. Significant differences were revealed by the analysis of variance among the evaluated genotypes for each of the taken parameters. Manipulation by the environment was extremely scanty in the expression of all the traits as it was marked by slight differences between the genotypic and phenotypic coefficient of variation. The characters namely, grain Zn content, grain Fe content, no. of tillers per plant, number of grains/ ear and flag leaf area demonstrated high heritability in addition to high genetic advance as per cent of mean pointing towards that it would be effective to employ simple selection schemes to fetch genetic enhancement in desired track for mentioned characters.

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