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Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites

In Brassica oleracea, heterosis is the most efficient tool providing impetus to hybrid vegetable industry. In this context, we presented the first report on identifying superior heterotic crosses for yield and commercial traits in cauliflower involving cytoplasmic male sterile (CMS) and doubled hapl...

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Autores principales: Singh, Saurabh, Dey, S. S., Bhatia, Reeta, Kumar, Raj, Sharma, Kanika, Behera, T. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699688/
https://www.ncbi.nlm.nih.gov/pubmed/31425498
http://dx.doi.org/10.1371/journal.pone.0210772
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author Singh, Saurabh
Dey, S. S.
Bhatia, Reeta
Kumar, Raj
Sharma, Kanika
Behera, T. K.
author_facet Singh, Saurabh
Dey, S. S.
Bhatia, Reeta
Kumar, Raj
Sharma, Kanika
Behera, T. K.
author_sort Singh, Saurabh
collection PubMed
description In Brassica oleracea, heterosis is the most efficient tool providing impetus to hybrid vegetable industry. In this context, we presented the first report on identifying superior heterotic crosses for yield and commercial traits in cauliflower involving cytoplasmic male sterile (CMS) and doubled haploid (DH) lines as parents. We studied the suitability of genomic-SSRs and EST-SSRs based genetic distance (GD) and agronomic trait based phenotypic distance (PD) for predicting heterosis in F(1) hybrids using CMS and DH based parents. 120 F(1) hybrids derived from 20Ogura based CMS lines and 6 DH based testers were evaluated for 16 agronomic traits along with the 26 parental lines and 4 commercial standard checks. The genomic-SSRs and EST-SSRs based genetic structure analysis grouped the 26 parental lines into 4 distinct clusters. The CMS lines Ogu118-6A, Ogu33A, Ogu34-1A were good general combiner for developing early maturity hybrids. The SCA effects were significantly associated with heterosis suggesting non-additive gene effects for the heterotic response of hybrids. Less than unity value of σ(2)A/D coupled with σ(2)(gca)/σ(2)(sca) indicated the predominance of non-additive gene action in the expression of studied traits. The correlation analysis of genetic distance with heterosis for commercial traits suggested that microsatellites based genetic distance estimates can be helpful in heterosis prediction to some extent.
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spelling pubmed-66996882019-09-04 Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites Singh, Saurabh Dey, S. S. Bhatia, Reeta Kumar, Raj Sharma, Kanika Behera, T. K. PLoS One Research Article In Brassica oleracea, heterosis is the most efficient tool providing impetus to hybrid vegetable industry. In this context, we presented the first report on identifying superior heterotic crosses for yield and commercial traits in cauliflower involving cytoplasmic male sterile (CMS) and doubled haploid (DH) lines as parents. We studied the suitability of genomic-SSRs and EST-SSRs based genetic distance (GD) and agronomic trait based phenotypic distance (PD) for predicting heterosis in F(1) hybrids using CMS and DH based parents. 120 F(1) hybrids derived from 20Ogura based CMS lines and 6 DH based testers were evaluated for 16 agronomic traits along with the 26 parental lines and 4 commercial standard checks. The genomic-SSRs and EST-SSRs based genetic structure analysis grouped the 26 parental lines into 4 distinct clusters. The CMS lines Ogu118-6A, Ogu33A, Ogu34-1A were good general combiner for developing early maturity hybrids. The SCA effects were significantly associated with heterosis suggesting non-additive gene effects for the heterotic response of hybrids. Less than unity value of σ(2)A/D coupled with σ(2)(gca)/σ(2)(sca) indicated the predominance of non-additive gene action in the expression of studied traits. The correlation analysis of genetic distance with heterosis for commercial traits suggested that microsatellites based genetic distance estimates can be helpful in heterosis prediction to some extent. Public Library of Science 2019-08-19 /pmc/articles/PMC6699688/ /pubmed/31425498 http://dx.doi.org/10.1371/journal.pone.0210772 Text en © 2019 Singh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Singh, Saurabh
Dey, S. S.
Bhatia, Reeta
Kumar, Raj
Sharma, Kanika
Behera, T. K.
Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites
title Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites
title_full Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites
title_fullStr Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites
title_full_unstemmed Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites
title_short Heterosis and combining ability in cytoplasmic male sterile and doubled haploid based Brassica oleracea progenies and prediction of heterosis using microsatellites
title_sort heterosis and combining ability in cytoplasmic male sterile and doubled haploid based brassica oleracea progenies and prediction of heterosis using microsatellites
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699688/
https://www.ncbi.nlm.nih.gov/pubmed/31425498
http://dx.doi.org/10.1371/journal.pone.0210772
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