Evidence map›Paper›PMID 41647644›Full record

ArticleFrontiers in plant science2025

Genetic progress in rice yield: preliminary insights from historically released varieties in Sub-Saharan Africa.

Shailesh Yadav, Vimal Kumar Semwal, Gbènakpon Aubin Y G Amagnide, Esther Pegalepo, Kora Orou Kobi, Kossi Lorimpo Adjah, Nana Kofi Abaka Amoah, Raafat El-Namaky, Negussie Zenna, Epa N'da Ghislain Noumouha and 7 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

17 authors.

Shailesh YadavGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.
Vimal Kumar SemwalGenetic Diversity and Improvement (GDI), Nigeria Country Office, Africa Rice Center (AfricaRice), Ibadan, Nigeria.
Gbènakpon Aubin Y G AmagnideGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.
Esther PegalepoGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.
Kora Orou KobiGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.
Kossi Lorimpo AdjahGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.
Nana Kofi Abaka AmoahGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.
Raafat El-NamakyAfrica Rice Center (AfricaRice), Saint-Louis, Senegal.
Negussie ZennaMadagascar Country Office, Africa Rice Center (AfricaRice), Antananarivo, Madagascar.
Epa N'da Ghislain NoumouhaNational Center for Agronomic Research (CNRA), Man, Côte d'Ivoire.
Faye Omar NdawSenegalese Agricultural Research Institute (ISRA), Dakar, Senegal.
Muhammad Liman MuhammadNational Cereals Research Institute (NCRI), Badeggi, Nigeria.
Laho Mamadou BarryGuinea Agricultural Research Institute (IRAG), Conakry, Guinea.
Medoune KhoumaInstitut d'Economie Rurale (IER)/Regional Center for Agronomic Research (CR&A)-Sikasso, Sikasso, Mali.
Dolo MenidiouInstitut d'Economie Rurale (IER)/Regional Center for Agronomic Research (CR&A)-Sikasso, Sikasso, Mali.
Dule ZhaoGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.
Baboucarr MannehGenetic Diversity and Improvement (GDI), Africa Rice Center (AfricaRice), Bouaké, Côte d'Ivoire.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is a vital staple crop in sub-Saharan Africa (SSA), where improving grain yield is critical for food security and economic growth. Assessing genetic gain over time is essential for measuring breeding effectiveness and guiding future strategies and evaluating the return on investment in rice improvement programs. This study aimed to estimate baseline genetic gains in grain yield from AfricaRice-bred released and pre-released varieties between 1986 and 2020 using multilocation data from ERA trials. "ERA trials" are designed to estimate historic rates of genetic gain for grain yield by testing a series of varieties released over different years or different breeding periods or "eras." Three sets of trials representing irrigated lowland, rainfed lowland, and rainfed upland ecologies were conducted in 2021 and 2022 at AfricaRice breeding stations in Côte d'Ivoire, Nigeria, and Senegal as well as National Agricultural Research and Evaluation Systems (NARES) sites in Burkina Faso, Guinea Conakry, and Mali. The trials were conducted using an alpha- lattice design with three replications, and data were collected on grain yield, plant height, and days to flowering. A two-stage analysis was implemented, where genotype-by-environment (G × E) means from the first stage were used in the second stage to model G × E interaction with a second-order factor analytic model, thereby accommodating genetic heteroscedasticity across environments and enabling estimation of genetic trends. Finlay-Wilkinson regression model identified high-performing and stable varieties in each ecology. Consistent positive genetic trends were estimated across all the ecologies, though gains remained low: 12 kg/ha/year (0.34%) in rainfed lowland, 10 kg/ha/year (0.27%) in rainfed upland, and 7 kg/ha/year (0.14%) in irrigated lowland. The top-performing varieties contributed maximum gains was ARICA 18 in rainfed lowland (16 kg/ha/year), FARO 59 (NERICA 8) in rainfed upland (11 kg/ha/year), and Yiriwamalo in irrigated lowland (8 kg/ha/year).These results highlight the steady progress of AfricaRice breeding programs and underscore the need for continued investment in rapid varietal development using modernized breeding tools to deliver high-yielding, climate-resilient, and market-driven rice varieties for SSA.

Indexed as

ERA trialsgenetic trendsgrain yieldricesub-Saharan Africa

Identifiers

PMID41647644
PMCPMC12868194

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.