Evidence map›Paper›PMID 31182016›Full record

ArticleBMC genomics2019

Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition.

Sushil Raj Subedi, Nitika Sandhu, Vikas Kumar Singh, Pallavi Sinha, Santosh Kumar, S P Singh, Surya Kant Ghimire, Madhav Pandey, Ram Baran Yadaw, Rajeev K Varshney and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Genome-wide association analysis in identification of superior haplotypes for vegetative stage drought stress tolerance in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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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

11 authors.

Sushil Raj SubediRice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.
Nitika SandhuRice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.
Vikas Kumar SinghInternational Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India.
Pallavi SinhaCenter of Excellence in Genomics and System Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, India.
Santosh KumarICAR Research Complex for Eastern Region, Patna, Bihar, India.
S P SinghBihar Agricultural University, Sabour, Bihar, India.
Surya Kant GhimireAgriculture and Forestry University, Rampur, Chitwan, Nepal.
Madhav PandeyAgriculture and Forestry University, Rampur, Chitwan, Nepal.
Ram Baran YadawNational Rice Research Program, Hardinath, Nepal.
Rajeev K VarshneyCenter of Excellence in Genomics and System Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, India.
Arvind KumarRice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines. a.kumar@irri.org.

Funding

Asian Development Bank TA8441
6 · The paper itself

Abstract

backgroundPuddled transplanted system of rice cultivation despite having several benefits, is a highly labor, water and energy intensive system. In the face of changing climatic conditions, a successful transition from puddled to dry direct seeded rice (DDSR) cultivation system looks must in future. Genome-wide association study was performed for traits including, roots and nutrient uptake (14 traits), plant-morphological (5 traits), lodging-resistance (4 traits) and yield and yield attributing traits (7 traits) with the aim to identify significant marker-trait associations (MTAs) for traits enhancing rice adaptability to dry direct-seeded rice (DDSR) system.

resultsStudy identified a total of 37 highly significant MTAs for 20 traits. The false discovery rate (FDR) ranged from 0.264 to 3.69 × 10

conclusionsOnce validated, the identified MTAs and the SNPs linked with trait of interest could be of direct use in genomic assisted breeding (GAB) to improve grain yield and adaptability of rice under DDSR.

Indexed as

Adaptation, PhysiologicalGenetic MarkersGenome-Wide Association StudyGenomicsLinkage DisequilibriumOryzaPhenotypeSeedlingsGenetic MarkersDry direct seededMarker-trait associationNutrient uptakeRiceRootYield

Identifiers

PMID31182016
PMCPMC6558851

What Socratic 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 Socratic graph.