Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Simulations of rate of genetic gain in dry bean breeding programs.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Jan 2023

Lin Jennifer, Arief Vivi, Jahufer Zulfi, Osorno Juan, McClean Phil, Jarquin Diego, Hoyos-Villegas Valerio

Abstract excerpt

KEY MESSAGE: A reference study for breeders aiming at maximizing genetic gain in common bean. Depending on trait heritability and genetic architecture, conventional approaches may provide an advantage over other frameworks. Dry beans (Phaseolus vulgaris L.) are a nutrient dense legume that is consumed by developed and developing nations around the world. The progress to improve this crop has been quite steady....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Phaseolus
Share to Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Plant Breeding

Source

Open in PubMed Open full text

Identifiers

PMID: 36662255
DOI: 10.1007/s00122-023-04244-x
PMCID: PMC9859924

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Simulations of rate of genetic gain in dry bean breeding programs.PMID 36662255Read ↗

Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid technology.Semantic proximity Read ↗

A review of breeding objectives, genomic resources, and marker-assisted methods in common bean (Phaseolus vulgaris L.)Semantic proximity Read ↗

Optimization of recurrent rapid cycle breeding in maize for sustained long-term genetic improvement via stochastic simulations.Semantic proximity Read ↗

Towards the Development, Maintenance, and Standardized Phenotypic Characterization of Single-Seed-Descent Genetic Resources for Common Bean.Semantic proximity Read ↗

Strategies of preserving genetic diversity while maximizing genetic response from implementing genomic selection in pulse breeding programs.Semantic proximity Read ↗

Unraveling agronomic and genetic aspects of runner bean (Phaseolus coccineus L.)Semantic proximity Read ↗

Strategies of Preserving Genetic Diversity While Maximizing Genetic Response From Implementing Genomic Selection in Pulse Breeding ProgramsSemantic proximity Read ↗

Estimation of genetic parameters and selection of high-yielding, upright common bean lines with slow seed-coat darkening.Semantic proximity Read ↗

Genome-wide association analysis of bean fly resistance and agro-morphological traits in common bean.Semantic proximity Read ↗

Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long-term genetic gain.Semantic proximity Read ↗

Genetic Gain and Inbreeding from Genomic Selection in a Simulated Commercial Breeding Program for Perennial Ryegrass.Semantic proximity Read ↗

Targeted Analysis of Dry Bean Growth Habit: Interrelationship among Architectural, Phenological, and Yield ComponentsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.