Evidence map›Paper›PMID 33256587›Full record

ArticleBMC plant biology2020

QTL mapping of winter dormancy and associated traits in two switchgrass pseudo-F1 populations: lowland x lowland and lowland x upland.

Rasyidah M Razar, Ali Missaoui

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Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Rasyidah M RazarInstitute of Plant Breeding Genetics and Genomics, and Department of Crop and Soil Sciences, University of Georgia, 30602, Athens, GA, USA.
Ali MissaouiInstitute of Plant Breeding Genetics and Genomics, and Department of Crop and Soil Sciences, University of Georgia, 30602, Athens, GA, USA. cssamm@uga.edu.ORCID http://orcid.org/0000-0003-1710-1142
University of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSwitchgrass (Panicum virgatum) undergoes winter dormancy by sensing photoperiod and temperature changes. It transitions to winter dormancy in early fall following at the end of reproduction and exits dormancy in the spring. The duration of the growing season affects the accumulation of biomass and yield. In this study, we conducted QTL mapping of winter dormancy measured by fall regrowth height (FRH) and normalized difference vegetation index (NDVI), spring emergence (SE), and flowering date (FD) in two bi-parental pseudo-F1 populations derived from crosses between the lowland AP13 with the lowland B6 (AB) with 285 progenies, and the lowland B6 with the upland VS16 (BV) with 227 progenies.

resultsWe identified 18 QTLs for FRH, 18 QTLs for NDVI, 21 QTLs for SE, and 30 QTLs for FD. The percent variance explained by these QTLs ranged between 4.21-23.27% for FRH, 4.47-24.06% for NDVI, 4.35-32.77% for SE, and 4.61-29.74% for FD. A higher number of QTL was discovered in the BV population, suggesting more variants in the lowland x upland population contributing to the expression of seasonal dormancy underlying traits. We identified 9 regions of colocalized QTL with possible pleiotropic gene action. The positive correlation between FRH or NDVI with dry biomass weight suggests that winter dormancy duration could affect switchgrass biomass yield. The medium to high heritability levels of FRH (0.55-0.64 H

conclusionMarkers found within the significant QTL interval can serve as genomic resources for breeding non-dormant and semi-dormant switchgrass cultivars for the southern regions, where growers can benefit from the longer production season.

Indexed as

Quantitative Trait LociChromosome MappingChromosomes, PlantCrosses, GeneticGenetic VariationPanicumPhenotypePlant BreedingPlant DormancySeasonsFlowering dateQTL mappingSpring emergenceSwitchgrassWinter dormancy

Identifiers

PMID33256587
PMCPMC7708163
OpenAlexW3108772796

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.