Evidence map›Paper›PMID 39129203›Full record

ArticleG3 (Bethesda, Md.)2024

Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation.

Joan J C Kimutai, Dan Makumbi, Juan Burgueño, Paulino Pérez-Rodríguez, Jose Crossa, Manje Gowda, Abebe Menkir, Angela Pacheco, Beatrice E Ifie, Pangirayi Tongoona and 2 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Joan J C KimutaiGlobal Maize Program, International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 1041-00621, Nairobi, Kenya.ORCID 0000-0002-8266-9503
Dan MakumbiGlobal Maize Program, International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 1041-00621, Nairobi, Kenya.ORCID 0000-0002-1801-5986
Juan BurgueñoBiometrics and Statistics Unit, CIMMYT, Apdo. Postal 6-641, 06600 Mexico DF, Mexico.ORCID 0000-0002-1468-4867
Paulino Pérez-RodríguezSocioeconomía, Estadística e Informática, Colegio de Postgraduados, Edo. de México 56230, Montecillos, Mexico.ORCID 0000-0002-3202-1784
Jose CrossaBiometrics and Statistics Unit, CIMMYT, Apdo. Postal 6-641, 06600 Mexico DF, Mexico.ORCID 0000-0001-9429-5855
Manje GowdaGlobal Maize Program, International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 1041-00621, Nairobi, Kenya.ORCID 0000-0003-4434-6364
Abebe MenkirInternational Institute of Tropical Agriculture (IITA), Oyo Road, PMB 5320, Ibadan, 200001, Nigeria.ORCID 0000-0002-5907-9177
Angela PachecoBiometrics and Statistics Unit, CIMMYT, Apdo. Postal 6-641, 06600 Mexico DF, Mexico.ORCID 0000-0002-7213-6391
Beatrice E IfieWest Africa Centre for Crop Improvement (WACCI), University of Ghana, PMB 30 Legon, Accra, Ghana.ORCID 0000-0001-9219-7477
Pangirayi TongoonaWest Africa Centre for Crop Improvement (WACCI), University of Ghana, PMB 30 Legon, Accra, Ghana.ORCID 0000-0003-1030-8589
Eric Y DanquahWest Africa Centre for Crop Improvement (WACCI), University of Ghana, PMB 30 Legon, Accra, Ghana.ORCID 0000-0002-7870-0432
Boddupalli M PrasannaGlobal Maize Program, International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 1041-00621, Nairobi, Kenya.ORCID 0000-0002-5761-2273

Funding

Accelerating Genetic Gains in Maize and WheatAchieving Sustainable Striga Control for Poor Farmers in Africa #OPP1006185Bill and Melinda Gates FoundationFoundation for Food and Agriculture ResearchUnited States Agency for International Development
6 · The paper itself

Abstract

Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa. Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid maize lines. We genotyped 606 doubled haploid lines with 8,439 rAmpSeq markers. A training set of 116 doubled haploid lines crossed to 2 testers was phenotyped under artificial Striga infestation at 3 locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38-0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross-validation (CV) were 0.24-0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 doubled haploid lines with desirable genomic estimated breeding values for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The genomic estimated breeding values of doubled haploid lines for Striga resistance-associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and doubled haploid technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize.

Indexed as

GenomicsHaploidyPhenotypeStrigaZea maysDisease ResistanceGenome, PlantGenotypeKenyaPlant BreedingPlant DiseasesPlant WeedsQuantitative Trait, Heritabledoubled haploidgenomic predictionmaize breedingsparse phenotypingStriga

Identifiers

PMID39129203
PMCPMC11457060

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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.