Heterosis estimates in F2 diallel population of spring wheat at two different cultural conditions

Tuhina-Khatun, M; Bari, M. A.; Zaman, M. A.; Begum, Hameedunnisa; Akter, S

doi:10.3329/bjar.v35i3.6448

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…The success of crop improvement programs relies on the degree of genetic variation and the transmission of desirable traits. The knowledge about genetic divergence and heritability aids plant breeders in predicting the characteristics of the next generation and determining the extent of genetic improvement brought about by selection [7]. D 2 is a statistical analysis helps to identify the genetic variation among and within the genotypes and aids in better selection of highly divergent parents for the hybridization programs.…”

Section: Introductionmentioning

confidence: 99%

Exploring Genetic and Molecular Diversity of Indian Rice Landraces: A Molecular Marker-Driven Study Incorporating D2 Analysis

Billygraham,

Manju Devi S.,

Dharani P.

et al. 2023

IJPSS

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Assessing genetic diversity is the key factor for enhanced crop breeding programme which aids in improving desirable characteristics in the cultivars. In the present study, 200 rice landraces were initially screened using PEG at -7 bar concentration for drought tolerance. From the 200 landraces, 12 lines with 50 % germination were chosen to assess molecular and genetic divergence. A total of 50 SSR markers were utilized across the identified 12 drought tolerant genotypes along with two susceptible and two tolerant checks to assess divergence among the genotypes. Among the 50 SSR markers, 49 exhibited polymorphisms with a PIC value ranged from 0.82 (RM447) to 0.30 (RM418) with an average of 0.63. The number of alleles varied from two (RM408, RM418, RM512) to eight (RM404) with an average of 4.4 allele per marker and a total of 216 alleles were observed. Based on unweighted pair group of arithmetic mean (UPGMA) method a dendrogram was constructed and the genotypes were grouped in four main clusters. Among the four, cluster I holding more number of genotypes than cluster IV with high dissimilarity coefficient of 0.88. Further D2 analysis for five drought traits at seedling stage revealed the similarity and diversity among the landraces by separating them in different clusters based on genetic distance. The highest inter cluster distance of 175.96 were noticed between cluster 2 and 3 with high divergence which aids in better selection of landraces. Both molecular and genetic diversity shows distinct divergence among the genotypes which exhibits broader genetic base with wider adaptability.

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Section: Introductionmentioning

confidence: 99%

Exploring Genetic and Molecular Diversity of Indian Rice Landraces: A Molecular Marker-Driven Study Incorporating D2 Analysis

Billygraham,

Manju Devi S.,

Dharani P.

et al. 2023

IJPSS

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“…The existence of genetic variability for agricultural traits is a key component of breeding programs to expand Rice's gene pool requires credible determines of heritability for planning breeding programs (Akinwale et al 2011). Knowledge concerning the heritability of plant breeders helps to foretell the nature of the following generation, and for selecting and evaluating the extent of genetic improvement by selection (Tuhina- Khatun et al 2007;Ghimire & Hamat 2019). Genetic plant improvement is based on the predictive function of heritability which indicates the transmissibility of various traits descending through generations (Khan & Naqvi 2011).…”

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confidence: 99%

Genetic Variability of Some Physiological Traits, Yield Components and Grain Quality Characters in Rice Entries

Bassuony

Zsembeli

Nofal

et al. 2022

Agriculture (Pol'nohospodárstvo)

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An experiment was performed to evaluate the variability parameters of the quantitative features in fifteen rice genotypes planted during the growing seasons of 2020 and 2021. These genotypes were grown in three replications with a randomized complete block design. For all of the studied characters, analysis of variance revealed that variations between the genotypes were highly significant. Among the studied phenotypic and genotypic parameters, the number of filled grains/panicles showed the highest variations, while grain width had the lowest value in this respect. The highest genotypic coefficient of variation (GCV) was found for grain yield while hulling rice % had the lowest GCV. In yields, the genotypic and phenotypic coefficients were the highest, clarifying the action of additive genes in commanding these traits. Most of the studied traits had a high heritability. The highest genetic advance value (98.06) was determined for the number of filled grains/panicles, while total chlorophyll content had the lowest value (0.11). Five principal components with eigenvalues above 1 were identified using principal component analysis. The first and second principal components were responsible for about 30.34 and 15.24 of the total variation, respectively, indicating that these traits played a larger role in the overall clustering distinction of the populations. Rice enhancement programs can be more successful if selection efforts are focused on these characteristics. Cluster analyses of the fifteen genotypes have grouped the genotypes into five clusters based on the data taken. Genotypes found in Cluster II had the highest thousand-grain weights, grain yield and head rice, and they could be recommended for breeding due to these favourable parameters of height, yield and head rice percentage.

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“…Wheat breeders try to estimate high-yielding genotypes from early segregating populations (Tuhina-Khatun 2010;Josekutty 2011). In bread wheat, heterosis over mid and better parent has the key importance (Akbar et al 2010).…”

Section: Introductionmentioning

confidence: 99%

The population vigors of diallel F4 offsprings of six bread wheat genotypes for grain yield under irrigated and rain-fed conditions

ÇAKMAK¹

2014

Tarım Bilimleri Dergisi

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Grain yield estimate from early segregating populations is an interesting feature of today's wheat breeding programs, and F 1 populations are generally recommended as the most suitable population by researchers. In the present study, we evaluated the population vigor of diallel ÖZETErken dönemde açılan populasyonlardan verim tahmini yapmak günümüz ıslah programlarında ilgi çekici bir özellik olup, genellikle F 1 populasyonlarının bu amaçla kullanımı araştırmacılar tarafından önerilir. Sunulan bu çalışmada, yağmura dayalı (RF) ve sulu şartlar altında (IR) altı ekmeklik buğdayın (Sultan, Bezostaya, Süzen Harmankaya, Altay

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Heterosis estimates in F2 diallel population of spring wheat at two different cultural conditions

Abstract: Spring wheat (Triticum aestivum L

Cited by 7 publications

References 2 publications

Exploring Genetic and Molecular Diversity of Indian Rice Landraces: A Molecular Marker-Driven Study Incorporating D2 Analysis

Exploring Genetic and Molecular Diversity of Indian Rice Landraces: A Molecular Marker-Driven Study Incorporating D2 Analysis

Genetic Variability of Some Physiological Traits, Yield Components and Grain Quality Characters in Rice Entries

The population vigors of diallel F4 offsprings of six bread wheat genotypes for grain yield under irrigated and rain-fed conditions

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