Evidence map›Paper›PMID 33390645›Full record

ArticleField crops research2021

Genetic gain for rice yield in rainfed environments in India.

Arvind Kumar, Anitha Raman, Shailesh Yadav, S B Verulkar, N P Mandal, O N Singh, P Swain, T Ram, Jyothi Badri, J L Dwivedi and 18 more

Open access · hybridAbstract read
In one paragraph

Article in Field crops research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
9.5field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
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  3. 110 years of rice breeding at LSU: realized genetic gains and future optimization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  9. Genetic gains in IRRI's rice salinity breeding and elite panel development as a future breeding resource.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  10. Article
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  12. Review
  13. Article
  14. Identification of Drought Tolerant Rice (Plants (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 50 years of rice breeding in Bangladesh: genetic yield trends.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
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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

28 authors at 12 institutions in 3 countries.

Arvind KumarInternational Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, Philippines.
Anitha RamanInternational Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, Philippines.
Shailesh YadavInternational Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, Philippines.
S B VerulkarIndira Gandhi Krishi Vishwavidyalaya (IGKV), Raipur, India.
N P MandalCentral Rainfed Upland Rice Research Station (CRURRS), ICAR-NRRI, Hazaribagh, India.
O N SinghNational Rice Research Institute (NRRI), Cuttack, India.
P SwainNational Rice Research Institute (NRRI), Cuttack, India.
T RamNational Rice Research Institute (NRRI), Cuttack, India.
Jyothi BadriIndian Institute of Rice Research (IIRR), Hyderabad, India.
J L DwivediNarendra Dev University of Agriculture and Technology (NDUAT), Ayodhya, India.
S P DasICAR Research Complex for NEH Region, Tripura Centre, Lembucherra, India.
S K SinghBanaras Hindu University (BHU), Varanasi, India.
S P SinghBihar Agricultural University (BAU), Sabour, India.
Santosh KumarICAR-Research Complex for Eastern Region, Patna, India.
Abhinav JainInternational Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, Philippines.
R ChandrababuTamil Nadu Agricultural University (TNAU), Coimbatore, India.
S RobinTamil Nadu Agricultural University (TNAU), Coimbatore, India.
H E ShashidharUniversity of Agricultural Sciences (UAS), Bangalore, India.
S HittalmaniUniversity of Agricultural Sciences (UAS), Bangalore, India.
P SatyanarayanaRegional Rice Research Station, Maruteru, Acharya NG Ranga Agricultural University, (ANGRAU), Guntur, India.
Challa VenkateshwarluInternational Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India.
Janaki RamayyaInternational Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India.
Shilpa NaikInternational Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India.
Swati NayakInternational Rice Research Institute (IRRI), New Delhi, India.
Manzoor H DarInternational Rice Research Institute (IRRI), New Delhi, India.
S M HossainInternational Rice Research Institute (IRRI), Bhubaneshwar, India.
Amelia HenryInternational Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, Philippines.
H P PiephoUniversitaet Hohenheim, Biostatistics Unit, 70593, Stuttgart, Germany.
International Rice Research Institute · PHCentral Rice Research Institute · INInternational Crops Research Institute for the Semi-Arid Tropics · INBihar Agricultural University · INICAR Research Complex for NEH Region · INTamil Nadu Agricultural University · INUniversity of Agricultural Sciences, Bangalore · INAcharya Narendra Deva University of Agriculture and Technology · INAcharya N. G. Ranga Agricultural University · INIndian Institute of Rice Research · INIndira Gandhi Agricultural University · INUniversity of Hohenheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of genotype × environment interactions under drought reduces heritability, which determines the effectiveness of selection for drought tolerance and development of drought tolerant varieties. Genetic progress measured through changes in yield performance over time is important in determining the efficiency of breeding programmes in which test cultivars are replaced each year on the assumption that the new cultivars will surpass the older cultivars. The goal of our study was to determine the annual rate of genetic gain for rice grain yield in a drought-prone rainfed system in a series of multi-environment trials conducted from 2005 to 2014 under the Drought Breeding Network of Indian sites in collaboration with the International Rice Research Institute (IRRI). Our results show a positive trend in grain yield with an annual genetic yield increase of about 0.68 % under irrigated control, 0.87 % under moderate reproductive stage drought stress and 1.9 % under severe reproductive stage drought stress due to breeding efforts. The study also demonstrates the effectiveness of direct selection for grain yield under both irrigated control as well as managed drought stress screening to improve yield in typical rainfed systems. IRRI's drought breeding programme has exhibited a significant positive trend in genetic gain for grain yield over the years under both drought stress as well as favorable irrigated control conditions. Several drought tolerant varieties released from the programme have outperformed the currently grown varieties under varied conditions in the rainfed environments on farmers' fields.

Indexed as

DroughtGenetic gainRiceYield potential

Identifiers

PMID33390645
PMCPMC7722510
OpenAlexW3094537242

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.