Evidence map›Paper›PMID 39011310›Full record

ArticleFrontiers in plant science2024

Genetic trends in the Kenya Highland Maize Breeding Program between 1999 and 2020.

Dickson O Ligeyo, Edward Saina, Bornface J Awalla, Clay Sneller, Walter Chivasa, Lennin Musundire, Dan Makumbi, Mable Mulanya, Dragan Milic, Samuel Mutiga and 3 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. 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. 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

13 authors.

Dickson O LigeyoDepartment of Food Crops and Research Institute, Kenya Agricultural and Livestock Research Organization, Kitale, Kenya.
Edward SainaDepartment of Food Crops and Research Institute, Kenya Agricultural and Livestock Research Organization, Kitale, Kenya.
Bornface J AwallaDepartment of Food Crops and Research Institute, Kenya Agricultural and Livestock Research Organization, Kitale, Kenya.
Clay SnellerDepartment of Horticulture and Crop Science, The Ohio State University, Wooster, OH, United States.
Walter ChivasaGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.
Lennin MusundireGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.
Dan MakumbiGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.
Mable MulanyaIntegrated Breeding Platform (IBP), Nairobi, Kenya.
Dragan MilicGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.
Samuel MutigaGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.
Abraham LagatGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.
Biswanath DasGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.
Boddupali M PrasannaGlobal Maize Program, International Maize and Wheat Improvement Center, (CIMMYT), Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimization of a breeding program requires assessing and quantifying empirical genetic trends made through past efforts relative to the current breeding strategies, germplasm, technologies, and policy. To establish the genetic trends in the Kenyan Highland Maize Breeding Program (KHMP), a two-decade (1999-2020) historical dataset from the Preliminary Variety Trials (PVT) and Advanced Variety Trials (AVT) was analyzed. A mixed model analysis was used to compute the genetic gains for traits based on the best linear unbiased estimates in the PVT and AVT evaluation stages. A positive significant genetic gain estimate for grain yield of 88 kg ha

Indexed as

breedinggenetic gainhighland ecologyKenya national breeding programmaize

Identifiers

PMID39011310
PMCPMC11246847

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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.