Genomic prediction of switchgrass winter survivorship across diverse lowland populations
In the North-Central United States, lowland ecotype switchgrass can increase yield by up to 50% compared with locally adapted but early flowering cultivars. However, lowland ecotypes are not winter tolerant. The mechanism for winter damage is unknown but previously has been associated with late flow...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997553/ https://www.ncbi.nlm.nih.gov/pubmed/36648238 http://dx.doi.org/10.1093/g3journal/jkad014 |
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author | Tilhou, Neal W Poudel, Hari P Lovell, John Mamidi, Sujan Schmutz, Jeremy Daum, Christopher Zane, Matthew Yoshinaga, Yuko Lipzen, Anna Casler, Michael D |
author_facet | Tilhou, Neal W Poudel, Hari P Lovell, John Mamidi, Sujan Schmutz, Jeremy Daum, Christopher Zane, Matthew Yoshinaga, Yuko Lipzen, Anna Casler, Michael D |
author_sort | Tilhou, Neal W |
collection | PubMed |
description | In the North-Central United States, lowland ecotype switchgrass can increase yield by up to 50% compared with locally adapted but early flowering cultivars. However, lowland ecotypes are not winter tolerant. The mechanism for winter damage is unknown but previously has been associated with late flowering time. This study investigated heading date (measured for two years) and winter survivorship (measured for three years) in a multi-generation population generated from two winter-hardy lowland individuals and diverse southern lowland populations. Sequencing data (311,776 markers) from 1,306 individuals were used to evaluate genome-wide trait prediction through cross-validation and progeny prediction (n = 52). Genetic variance for heading date and winter survivorship was additive with high narrow-sense heritability (0.64 and 0.71, respectively) and reliability (0.68 and 0.76, respectively). The initial negative correlation between winter survivorship and heading date degraded across generations (F(1)r = −0.43, pseudo-F(2)r = −0.28, pseudo-F(2) progeny r = −0.15). Within-family predictive ability was moderately high for heading date and winter survivorship (0.53 and 0.52, respectively). A multi-trait model did not improve predictive ability for either trait. Progeny predictive ability was 0.71 for winter survivorship and 0.53 for heading date. These results suggest that lowland ecotype populations can obtain sufficient survival rates in the northern United States with two or three cycles of effective selection. Despite accurate genomic prediction, naturally occurring winter mortality successfully isolated winter tolerant genotypes and appears to be an efficient method to develop high-yielding, cold-tolerant switchgrass cultivars. |
format | Online Article Text |
id | pubmed-9997553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99975532023-03-10 Genomic prediction of switchgrass winter survivorship across diverse lowland populations Tilhou, Neal W Poudel, Hari P Lovell, John Mamidi, Sujan Schmutz, Jeremy Daum, Christopher Zane, Matthew Yoshinaga, Yuko Lipzen, Anna Casler, Michael D G3 (Bethesda) Genomic Prediction In the North-Central United States, lowland ecotype switchgrass can increase yield by up to 50% compared with locally adapted but early flowering cultivars. However, lowland ecotypes are not winter tolerant. The mechanism for winter damage is unknown but previously has been associated with late flowering time. This study investigated heading date (measured for two years) and winter survivorship (measured for three years) in a multi-generation population generated from two winter-hardy lowland individuals and diverse southern lowland populations. Sequencing data (311,776 markers) from 1,306 individuals were used to evaluate genome-wide trait prediction through cross-validation and progeny prediction (n = 52). Genetic variance for heading date and winter survivorship was additive with high narrow-sense heritability (0.64 and 0.71, respectively) and reliability (0.68 and 0.76, respectively). The initial negative correlation between winter survivorship and heading date degraded across generations (F(1)r = −0.43, pseudo-F(2)r = −0.28, pseudo-F(2) progeny r = −0.15). Within-family predictive ability was moderately high for heading date and winter survivorship (0.53 and 0.52, respectively). A multi-trait model did not improve predictive ability for either trait. Progeny predictive ability was 0.71 for winter survivorship and 0.53 for heading date. These results suggest that lowland ecotype populations can obtain sufficient survival rates in the northern United States with two or three cycles of effective selection. Despite accurate genomic prediction, naturally occurring winter mortality successfully isolated winter tolerant genotypes and appears to be an efficient method to develop high-yielding, cold-tolerant switchgrass cultivars. Oxford University Press 2023-01-17 /pmc/articles/PMC9997553/ /pubmed/36648238 http://dx.doi.org/10.1093/g3journal/jkad014 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomic Prediction Tilhou, Neal W Poudel, Hari P Lovell, John Mamidi, Sujan Schmutz, Jeremy Daum, Christopher Zane, Matthew Yoshinaga, Yuko Lipzen, Anna Casler, Michael D Genomic prediction of switchgrass winter survivorship across diverse lowland populations |
title | Genomic prediction of switchgrass winter survivorship across diverse lowland populations |
title_full | Genomic prediction of switchgrass winter survivorship across diverse lowland populations |
title_fullStr | Genomic prediction of switchgrass winter survivorship across diverse lowland populations |
title_full_unstemmed | Genomic prediction of switchgrass winter survivorship across diverse lowland populations |
title_short | Genomic prediction of switchgrass winter survivorship across diverse lowland populations |
title_sort | genomic prediction of switchgrass winter survivorship across diverse lowland populations |
topic | Genomic Prediction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997553/ https://www.ncbi.nlm.nih.gov/pubmed/36648238 http://dx.doi.org/10.1093/g3journal/jkad014 |
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