Biofortification of Brassicas for Quality Improvement

Kumar, Manoj; Mawlong, Ibandalin; Rani, Reema

doi:10.1007/978-3-030-34694-2_7

Cited by 6 publications

(1 citation statement)

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“…Seed yield and related traits showed wide phenotypic variations during both seasons. The mean performance indicated the existence of enormous variability for the seed yield and related components, which offer greater opportunities for utilizing these traits in future breeding programs (Kumar et al, 2020). The genetic variation available for traits such as total seed yield per plot, total siliquae count, plant height at first branching, etc., can meet the breeding objective in evolving a high-yielding B. juncea cultivar.…”

Section: Mean Performance and Variation For Phenotypic Traitsmentioning

confidence: 99%

Unraveling the Relationship Between Seed Yield and Yield-Related Traits in a Diversity Panel of Brassica juncea Using Multi-Traits Mixed Model

et al. 2021

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The response to selection in any crop improvement program depends on the degree of variance and heritability. The objective of the current study was to explain variance and heritability components in Indian mustard Brassica juncea (L). Czern & Coss to recognize promising genotypes for effective breeding. Two hundred and eighty-nine diverse accessions of Indian mustard belonging to four continents were analyzed for yield and yield-related traits (20 traits) over two seasons (2017–2018 and 2018–2019) using an alpha lattice design. The genetic variance was found to be significant (P ≤ 0.01) for the individual and under pooled analysis for all of the evaluated traits, demonstrating the presence of significant genetic variability in the diversity panel, which bids greater opportunities for utilizing these traits in future breeding programs. High heritability combined with high genetic advance as percent of mean and genotypic coefficient of variation was observed for flowering traits, plant height traits, seed size, and seed yield/plant; hence, a better genetic gain is expected upon the selection of these traits over subsequent generations. Both correlation and stepwise regression analysis indicated that the main shoot length, biological yield, total seed yield, plant height up to the first primary branch, seed size, total siliqua count, days to flowering initiation, plant height at maturity, siliquae on the main shoot, main shoot length, and siliqua length were the most significant contributory traits for seed yield/plant. Also, promising genotypes were identified among the diversity panel, which can be utilized as a donor to improve Indian mustard further. These results indicated a greater scope for improving seed yield per plant directly through a selection of genotypes having the parsimonious combination of these nine traits.

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Section: Mean Performance and Variation For Phenotypic Traitsmentioning

confidence: 99%