ArticleThe plant genome2017
Prospects for Genomic Selection in Cassava Breeding.
Article in The plant genome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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Who cites it
74 citing papers in PubMed, 138 citations in OpenAlex.
- Adding Value to Cassava Genetic Resources Conserved at CIAT-Part II: Fifty Years of Evaluation and Use of Landraces for Variety Development.Plants (Basel, Switzerland) · 2026Review
- Genomic prediction accuracy for low hydrogen cyanide selection in fresh cassava roots. Comparative model analysis.BMC plant biology · 2026Article
- Article
- Genome-wide association study of the reproductive, body size, and carcass-related latent and directly measured traits in admixed beef heifers.Frontiers in genetics · 2026Article
- Advances and prospects of genomic-assisted breeding in roots, tubers, and banana crops.Frontiers in plant science · 2026Review
- Improvement of Cassava Varieties for High Nutritional Quality Adapted to the Pacific and Andean Regions in Colombia.Plants (Basel, Switzerland) · 2025Article
- Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre-breeding populations with enhanced whitefly tolerance.The Plant journal : for cell and molecular biology · 2025Article
- Big data and artificial intelligence-aided crop breeding: Progress and prospects.Journal of integrative plant biology · 2025Review
- Advancements and strategies of genetic improvement in cassava (Horticulture research · 2025Article
- High-Throughput Phenotyping for Agronomic Traits in Cassava Using Aerial Imaging.Plants (Basel, Switzerland) · 2024Article
- Review
- Q&A: Methods for estimating genetic gain in sub-Saharan Africa and achieving improved gains.The plant genome · 2024Article
- Development of Methods for Improving Flowering and Seed Set of Diverse Germplasm in Cassava Breeding.Plants (Basel, Switzerland) · 2024Article
- Stability and genetic parameters for cassava yield attributes in the tropical humid region of Brazil.Euphytica: Netherlands journal of plant breeding · 2024Article
- Optimizing drought tolerance in cassava through genomic selection.Frontiers in plant science · 2024Article
- Flowering and fruit-set in cassava under extended red-light photoperiod supplemented with plant-growth regulators and pruning.BMC plant biology · 2023Article
- Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments.Scientific reports · 2023Article
- Sparse multi-trait genomic prediction under balanced incomplete block design.The plant genome · 2023Article
- Efficacy of plant breeding using genomic information.The plant genome · 2023Article
- Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cassava ( Crantz) is a clonally propagated staple food crop in the tropics. Genomic selection (GS) has been implemented at three breeding institutions in Africa to reduce cycle times. Initial studies provided promising estimates of predictive abilities. Here, we expand on previous analyses by assessing the accuracy of seven prediction models for seven traits in three prediction scenarios: cross-validation within populations, cross-population prediction and cross-generation prediction. We also evaluated the impact of increasing the training population (TP) size by phenotyping progenies selected either at random or with a genetic algorithm. Cross-validation results were mostly consistent across programs, with nonadditive models predicting of 10% better on average. Cross-population accuracy was generally low (mean = 0.18) but prediction of cassava mosaic disease increased up to 57% in one Nigerian population when data from another related population were combined. Accuracy across generations was poorer than within-generation accuracy, as expected, but accuracy for dry matter content and mosaic disease severity should be sufficient for rapid-cycling GS. Selection of a prediction model made some difference across generations, but increasing TP size was more important. With a genetic algorithm, selection of one-third of progeny could achieve an accuracy equivalent to phenotyping all progeny. We are in the early stages of GS for this crop but the results are promising for some traits. General guidelines that are emerging are that TPs need to continue to grow but phenotyping can be done on a cleverly selected subset of individuals, reducing the overall phenotyping burden.
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Registered trials
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.