Evidence map›Paper›PMID 25336682›Full record

ArticleJournal of experimental botany2015

Traits and QTLs for development of dry direct-seeded rainfed rice varieties.

Nitika Sandhu, Rolando O Torres, Ma Teresa Sta Cruz, Paul Cornelio Maturan, Rajinder Jain, Arvind Kumar, Amelia Henry

Abstract read
In one paragraph

Article in Journal of experimental botany, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Unravelling genetic architecture and development of core set from elite rice lines using yield-related candidate gene markers.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  13. Article
  14. Article
  15. Proofing Direct-Seeded Rice with Better Root Plasticity and Architecture.International journal of molecular sciences · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Nitika SandhuDivision of Plant Breeding, Genetics, and Biotechnology, International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines Department of Molecular Biology and Biotechnology, CCS Haryana Agricultural University, Hisar-125004, India.
Rolando O TorresCrop and Environmental Sciences Division, International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines.
Ma Teresa Sta CruzDivision of Plant Breeding, Genetics, and Biotechnology, International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines.
Paul Cornelio MaturanDivision of Plant Breeding, Genetics, and Biotechnology, International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines.
Rajinder JainDepartment of Molecular Biology and Biotechnology, CCS Haryana Agricultural University, Hisar-125004, India.
Arvind KumarDivision of Plant Breeding, Genetics, and Biotechnology, International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines.
Amelia HenryCrop and Environmental Sciences Division, International Rice Research Institute, DAPO Box 7777, Metro Manila, The Philippines a.henry@irri.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of rice varieties for dry direct-seeded conditions can be accelerated by selecting suitable traits. In the present investigation, traits hypothesized to be important for direct-seeded conditions in rainfed systems, including seedling emergence, early vegetative vigour, nutrient uptake, nodal root number, and root hair length and density, were characterized to study the genetic control of these traits and their relationship with grain yield under seedling- and reproductive-stage drought stress. Two BC₂F₄ mapping populations derived from crosses of Aus276, a drought-tolerant aus variety, with MTU1010 and IR64, high-yielding indica mega-varieties, were developed and studied to identify quantitative trait loci (QTLs) that showed large and consistent effects. A total of 26 QTLs associated with 23 traits and 20 QTLs associated with 13 traits were mapped in the Aus276/3*IR64 and Aus276/3*MTU1010 populations, respectively. qGY₆.₁, qGY₁₀.₁, qGY₁.₁, and qEVV₉.₁ were found to be effective in both populations under a wide range of conditions. QTLs for several seedling-stage traits co-located with QTLs for grain yield, including early vegetative vigour and root hair length. On chromosome 5, several QTLs for nutrient uptake co-located with QTLs for root hair density and nematode gall rating. Six lines were selected from both populations based on grain yield and the presence of QTLs, and these lines typically showed improved seedling-stage traits (nodal root number, dry shoot weight, and root hair length and density). The co-located QTLs identified here can be used in research aimed at increasing the yield and adaptability of rainfed rice to direct-seeded conditions.

Indexed as

Quantitative Trait LociChromosome MappingDroughtsEdible GrainOryzaPhenotypePolymorphism, GeneticSeedlingsDirect-seeded riceearly vegetative vigourgrain yieldnutrient uptakequantitative trait loci (QTLs)root.

Identifiers

PMID25336682
PMCPMC4265160

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.