Evidence map›Paper›PMID 34488630›Full record

ArticleBMC plant biology2021

Mapping freezing tolerance QTL in alfalfa: based on indoor phenotyping.

Laxman Adhikari, Shiva O Makaju, Orville M Lindstrom, Ali M Missaoui

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Advances in basic biology of alfalfa (Horticulture research · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Silicon-Induced Morphological, Biochemical and Molecular Regulation inInternational journal of molecular sciences · 2023
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  10. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Laxman AdhikariInstitute of Plant Breeding, Genetics and Genomics, The University of Georgia, Athens, GA, USA.
Shiva O MakajuInstitute of Plant Breeding, Genetics and Genomics, The University of Georgia, Athens, GA, USA.
Orville M LindstromDepartment of Horticulture, The University of Georgia, Athens, GA, USA.
Ali M MissaouiInstitute of Plant Breeding, Genetics and Genomics, The University of Georgia, Athens, GA, USA. cssamm@uga.edu.
University of Georgia · US

Funding

USDA, NIFA 1008718
6 · The paper itself

Abstract

backgroundWinter freezing temperature impacts alfalfa (Medicago sativa L.) persistence and seasonal yield and can lead to the death of the plant. Understanding the genetic mechanisms of alfalfa freezing tolerance (FT) using high-throughput phenotyping and genotyping is crucial to select suitable germplasm and develop winter-hardy cultivars. Several clones of an alfalfa F

resultsAlfalfa FT screening method optimized in this experiment comprises three major steps: clone preparation, acclimation, and freezing test. Twenty clones of each genotype were tested, where 10 samples were treated with freezing temperature, and 10 were used as controls. A moderate positive correlation (r ~ 0.36, P < 0.01) was observed between indoor FT and field-based winter hardiness (WH), suggesting that the indoor FT test is a useful indirect selection method for winter hardiness of alfalfa germplasm. We detected a total of 20 QTL associated with four traits; nine for visual rating-based FT, five for percentage survival (PS), four for treated to control regrowth ratio (RR), and two for treated to control biomass ratio (BR). Some QTL positions overlapped with WH QTL reported previously, suggesting a genetic relationship between FT and WH. Some favorable QTL from the winter-hardy parent (3010) were from the potential genic region for a cold tolerance gene CBF. The BLAST alignment of a CBF sequence of M. truncatula, a close relative of alfalfa, against the alfalfa reference showed that the gene's ortholog resides around 75 Mb on chromosome 6.

conclusionsThe indoor freezing tolerance selection method reported is useful for alfalfa breeders to accelerate breeding cycles through indirect selection. The QTL and associated markers add to the genomic resources for the research community and can be used in marker-assisted selection (MAS) for alfalfa cold tolerance improvement.

Indexed as

Chromosome MappingFreezingQuantitative Trait LociAdaptation, PhysiologicalChromosomes, PlantGene Expression Regulation, PlantGenotypeMedicago sativaPhenotypePlant BreedingAlfalfaCBFCold toleranceFreezing toleranceGBSGermplasmsSNPWinter survival

Identifiers

PMID34488630
PMCPMC8419964
OpenAlexW3197633712

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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.