Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses

Obtaining greater genetic gains, particularly for biomass yield, requires a good understanding of the gene action governing the inheritance of traits with economic importance in switchgrass (<i>Panicum virgatum</i> L.). Individual genotypes from three different accessions were crossed in...

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Autores principales:	Serge Edmé, Rob Mitchell
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	biomass breeding values ethanol GCA lignin pedigree Agriculture S
Acceso en línea:	https://doaj.org/article/b5bc3ef020e049e9ada0adc41ee76ba7
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spelling	oai:doaj.org-article:b5bc3ef020e049e9ada0adc41ee76ba72021-11-25T16:07:16ZGenetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses10.3390/agronomy111122202073-4395https://doaj.org/article/b5bc3ef020e049e9ada0adc41ee76ba72021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2220https://doaj.org/toc/2073-4395Obtaining greater genetic gains, particularly for biomass yield, requires a good understanding of the gene action governing the inheritance of traits with economic importance in switchgrass (<i>Panicum virgatum</i> L.). Individual genotypes from three different accessions were crossed in single-pair matings with reciprocals to assess the relative importance of additive to nonadditive genetic variation and the potential of using inter-ecotypic crosses to improve dry matter yield (DMY), in vitro dry matter digestibility (IVDMD), lignin content (ADL and KL), and ethanol yield (ETOH). Crosses and four reference populations were planted in a randomized complete block design with eight replications of single family-rows plots, with five-plants each and 1 m spacings. A linear mixed model was applied as per the restricted maximum likelihood method, integrated with a pedigree tracing back to the original founders of these parental populations, and augmented with the designation of four genetic groups. Variation due to SCA (specific combining ability) was predominant for all traits, contributing from 20% to 57% of the total phenotypic variation and with Baker’s ratios (GCA/SCA) varying from 0.003 to 0.67. Heritability values calculated at the fullsib-family mean level were moderate to very high. Variation due to GCA (general combining ability) was detected with a lesser significance for DMY and ETOH. A reciprocal GCA effect was present in the form of maternal inheritance for DMY, suggesting the use of the highest biomass-yielding parent as female in inter-ecotypic breeding. Selecting and deploying fullsib families, deploying clonal hybrids, and adopting an introgression breeding approach are all possibilities available to switchgrass breeders to exploit the complementary genes from this germplasm and capitalize on the non-additive genetic variation present in these crosses.Serge EdméRob MitchellMDPI AGarticlebiomassbreeding valuesethanolGCAligninpedigreeAgricultureSENAgronomy, Vol 11, Iss 2220, p 2220 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	biomass breeding values ethanol GCA lignin pedigree Agriculture S
spellingShingle	biomass breeding values ethanol GCA lignin pedigree Agriculture S Serge Edmé Rob Mitchell Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses
description	Obtaining greater genetic gains, particularly for biomass yield, requires a good understanding of the gene action governing the inheritance of traits with economic importance in switchgrass (<i>Panicum virgatum</i> L.). Individual genotypes from three different accessions were crossed in single-pair matings with reciprocals to assess the relative importance of additive to nonadditive genetic variation and the potential of using inter-ecotypic crosses to improve dry matter yield (DMY), in vitro dry matter digestibility (IVDMD), lignin content (ADL and KL), and ethanol yield (ETOH). Crosses and four reference populations were planted in a randomized complete block design with eight replications of single family-rows plots, with five-plants each and 1 m spacings. A linear mixed model was applied as per the restricted maximum likelihood method, integrated with a pedigree tracing back to the original founders of these parental populations, and augmented with the designation of four genetic groups. Variation due to SCA (specific combining ability) was predominant for all traits, contributing from 20% to 57% of the total phenotypic variation and with Baker’s ratios (GCA/SCA) varying from 0.003 to 0.67. Heritability values calculated at the fullsib-family mean level were moderate to very high. Variation due to GCA (general combining ability) was detected with a lesser significance for DMY and ETOH. A reciprocal GCA effect was present in the form of maternal inheritance for DMY, suggesting the use of the highest biomass-yielding parent as female in inter-ecotypic breeding. Selecting and deploying fullsib families, deploying clonal hybrids, and adopting an introgression breeding approach are all possibilities available to switchgrass breeders to exploit the complementary genes from this germplasm and capitalize on the non-additive genetic variation present in these crosses.
format	article
author	Serge Edmé Rob Mitchell
author_facet	Serge Edmé Rob Mitchell
author_sort	Serge Edmé
title	Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses
title_short	Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses
title_full	Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses
title_fullStr	Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses
title_full_unstemmed	Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses
title_sort	genetic analysis of yield and quality traits in switchgrass based on population crosses
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b5bc3ef020e049e9ada0adc41ee76ba7
work_keys_str_mv	AT sergeedme geneticanalysisofyieldandqualitytraitsinswitchgrassbasedonpopulationcrosses AT robmitchell geneticanalysisofyieldandqualitytraitsinswitchgrassbasedonpopulationcrosses
_version_	1718413338394755072

Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses

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