Literature DB >> 29230819

Genetic inheritance of pulp colour and selected traits of cassava (Manihot esculenta Crantz) at early generation selection.

Athanase Nduwumuremyi1,2, Rob Melis1, Paul Shanahan1, Asiimwe Theodore2.   

Abstract

BACKGROUND: The early generation selection of cassava quantitative and qualitative traits saves breeding resources as it can shorten breeding schemes. Inheritance analysis provides important breeding information for developing new improved varieties. This study aimed at developing an F1 segregating cassava population and determining mode of gene action of pulp colour and selected traits at early generation selection (F1 seedling and clones).
RESULTS: The 15 families exhibited significant (P < 0.05) phenotypic variation between offspring. The general combining ability (GCA) was significant for all traits except cassava brown streak disease on leaves, whereas specific combining ability (SCA) was significant for all evaluated traits. The Garukansubire and Gitamisi genotypes were the best general combiners for improving fresh storage root yield, while G1 and G2 were the best general combiners for improved carotenoid (yellow/orange pulp colour) and delayed physiological postharvest deterioration. The pulp colour had the highest GCA/SCA ratio and percent sum of squares due to GCA.
CONCLUSION: The 15 F1 families exhibited essential genetic diversity for cassava improvement. The expression of most cassava traits was controlled by both additive and non-additive gene action. The study elucidated the role of dominance effects over the additive effects for the evaluated traits. However, the pulp colour was predominantly controlled by additive gene action. This implies the possibility of improving cassava through conventional breeding using recurrent selection for most traits.
© 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

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Keywords:  additive and non-additive gene effects; combining ability; physiological postharvest deterioration

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Year:  2018        PMID: 29230819     DOI: 10.1002/jsfa.8825

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  1 in total

1.  Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices.

Authors:  Marnin D Wolfe; Ariel W Chan; Peter Kulakow; Ismail Rabbi; Jean-Luc Jannink
Journal:  Genetics       Date:  2021-11-05       Impact factor: 4.562

  1 in total

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