Genetic analysis of agronomic and quality traits in mustard (Brassica juncea).

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Title: Genetic analysis of agronomic and quality traits in mustard (Brassica juncea).
Authors: Lionneton, E.1,2, Aubert, G.1, Ochatt, S.1, Merah, O.3
Source: Theoretical & Applied Genetics. Aug2004, Vol. 109 Issue 4, p792-799. 8p.
Subjects: Brassica, Mustard, Genetics, Seeds
Abstract: To develop an efficient mustard (Brassica juncea) breeding programme, a better knowledge of the genetic control and relationships of the main selected characters is needed. Thus, doubled haploid (DH) lines were evaluated over 2 years in the field. Days to flowering, plant height, thousand-seed weight, fatty acid composition, seed oil content, sinigrin, gluconapin and total glucosinolate contents were determined in the DH population. The influence of seed coat colour was estimated. Results showed significant differences between yellow and brown seeds only for oil and fatty acid contents. Molecular analysis revealed that seed coat colour is associated with two Mendelian trait loci: Bjc1 [on linkage group (LG) 3] and Bjc2 (on LG6). The quantitative trait loci associated with characters—detected by composite interval mapping—were not co-localised and revealed a genetic independence. The results obtained in this study show that the most important agronomic and quality traits of brown mustard could be bred independently. Correlation between the studied traits is also discussed. [ABSTRACT FROM AUTHOR]
Copyright of Theoretical & Applied Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Genetic analysis of agronomic and quality traits in mustard (Brassica juncea).
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  Data: <searchLink fieldCode="DE" term="%22Brassica%22">Brassica</searchLink><br /><searchLink fieldCode="DE" term="%22Mustard%22">Mustard</searchLink><br /><searchLink fieldCode="DE" term="%22Genetics%22">Genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Seeds%22">Seeds</searchLink>
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  Data: To develop an efficient mustard (Brassica juncea) breeding programme, a better knowledge of the genetic control and relationships of the main selected characters is needed. Thus, doubled haploid (DH) lines were evaluated over 2 years in the field. Days to flowering, plant height, thousand-seed weight, fatty acid composition, seed oil content, sinigrin, gluconapin and total glucosinolate contents were determined in the DH population. The influence of seed coat colour was estimated. Results showed significant differences between yellow and brown seeds only for oil and fatty acid contents. Molecular analysis revealed that seed coat colour is associated with two Mendelian trait loci: Bjc1 [on linkage group (LG) 3] and Bjc2 (on LG6). The quantitative trait loci associated with characters—detected by composite interval mapping—were not co-localised and revealed a genetic independence. The results obtained in this study show that the most important agronomic and quality traits of brown mustard could be bred independently. Correlation between the studied traits is also discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Theoretical & Applied Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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