Evidence map›Paper›PMID 27768702›Full record

ArticlePloS one2016

Genomic Regions Associated with Root Traits under Drought Stress in Tropical Maize (Zea mays L.).

P H Zaidi, K Seetharam, Girish Krishna, L Krishnamurthy, S Gajanan, Raman Babu, M Zerka, M T Vinayan, B S Vivek

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  17. Article
  18. Review
  19. Genetic dissection of maize drought tolerance for trait improvement.Molecular breeding : new strategies in plant improvement · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

P H ZaidiInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.
K SeetharamInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.ORCID http://orcid.org/0000-0001-7121-010X
Girish KrishnaInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.
L KrishnamurthyInternational Crops research institute for semi-arid tropics (ICRISAT), Hyderabad, India.
S GajananInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.
Raman BabuInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.
M ZerkaInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.
M T VinayanInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.
B S VivekInternational Maize and Wheat Improvement Centre (CIMMYT), Asia regional office, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An association mapping panel, named as CIMMYT Asia association mapping (CAAM) panel, involving 396 diverse tropical maize lines were phenotyped for various structural and functional traits of roots under drought and well-watered conditions. The experiment was conducted during Kharif (summer-rainy) season of 2012 and 2013 in root phenotyping facility at CIMMYT-Hyderabad, India. The CAAM panel was genotyped to generate 955, 690 SNPs through GBS v2.7 using Illumina Hi-seq 2000/2500 at Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA. GWAS analysis was carried out using 331,390 SNPs filtered from the entire set of SNPs revealed a total of 50 and 67 SNPs significantly associated for root functional (transpiration efficiency, flowering period water use) and structural traits (rooting depth, root dry weight, root length, root volume, root surface area and root length density), respectively. In addition to this, 37 SNPs were identified for grain yield and shoot biomass under well-watered and drought stress. Though many SNPs were found to have significant association with the traits under study, SNPs that were common for more than one trait were discussed in detail. A total 18 SNPs were found to have common association with more than one trait, out of which 12 SNPs were found within or near the various gene functional regions. In this study we attempted to identify the trait specific maize lines based on the presence of favorable alleles for the SNPs associated with multiple traits. Two SNPs S3_128533512 and S7_151238865 were associated with transpiration efficiency, shoot biomass and grain yield under well-watered condition. Based on favorable allele for these SNPs seven inbred lines were identified. Similarly, four lines were identified for transpiration efficiency and shoot biomass under drought stress based on the presence of favorable allele for the common SNPs S1_211520521, S2_20017716, S3_57210184 and S7_130878458 and three lines were identified for flowering period water-use, transpiration efficiency, root dry weight and root volume based on the presence of favorable allele for the common SNPs S3_162065732 and S3_225760139.

Indexed as

DroughtsGenome, PlantStress, PhysiologicalTropical ClimateLinkage DisequilibriumPhenotypePlant RootsPolymorphism, Single Nucleotide

Identifiers

PMID27768702
PMCPMC5074786

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.