Cargando…

Performance prediction of crosses in plant breeding through genotype by environment interactions

Performance prediction of potential crosses plays a significant role in plant breeding, which aims to produce new crop varieties that have higher yields, require fewer resources, and are more adaptable to the changing environments. In the 2020 Syngenta crop challenge, Syngenta challenged participant...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ansarifar, Javad, Akhavizadegan, Faezeh, Wang, Lizhi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359316/ https://www.ncbi.nlm.nih.gov/pubmed/32661366 http://dx.doi.org/10.1038/s41598-020-68343-1

Ejemplares similares

A time-dependent parameter estimation framework for crop modeling
por: Akhavizadegan, Faezeh, et al.
Publicado: (2021)

An interaction regression model for crop yield prediction
por: Ansarifar, Javad, et al.
Publicado: (2021)

Genotype by environment interaction and breeding for robustness in livestock
por: Rauw, Wendy M., et al.
Publicado: (2015)

Predicting yield performance of parents in plant breeding: A neural collaborative filtering approach
por: Khaki, Saeed, et al.
Publicado: (2020)

Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs
por: Pour-Aboughadareh, Alireza, et al.
Publicado: (2022)

Interaction between parental environment and genotype affects plant and seed performance in Arabidopsis
por: He, Hanzi, et al.
Publicado: (2014)

Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs
por: Cao, Lu, et al.
Publicado: (2020)

Genomic Prediction Accounting for Genotype by Environment Interaction Offers an Effective Framework for Breeding Simultaneously for Adaptation to an Abiotic Stress and Performance Under Normal Cropping Conditions in Rice
por: Ben Hassen, Manel, et al.
Publicado: (2018)

Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions
por: Chu, Thinh Tuan, et al.
Publicado: (2020)

Environment-Dependent Genotype-Phenotype Associations in Avian Breeding Time
por: Gienapp, Phillip, et al.
Publicado: (2017)

Genotype × environment interactions
por: Bowman, JC
Publicado: (1972)

From Genotype × Environment Interaction to Gene × Environment Interaction
por: Crossa, Jose
Publicado: (2012)

Evaluation of Indian ginseng [Withania somnifera (L.) Dunal] breeding lines and genotype-by-environment interaction across production environments in western India
por: Kumar, Mithlesh, et al.
Publicado: (2023)

Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments
por: Windhausen, Vanessa S., et al.
Publicado: (2012)

Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
por: Cuevas, Jaime, et al.
Publicado: (2016)

Breeding for robustness: investigating the genotype‐by‐environment interaction and micro‐environmental sensitivity of Genetically Improved Farmed Tilapia (Oreochromis niloticus)
por: Agha, S., et al.
Publicado: (2018)

Multiple trait breeding programs with genotype-by-environment interactions based on reaction norms, with application to genetic improvement of disease resilience
por: Dekkers, Jack C. M.
Publicado: (2021)

Genomic Prediction in Maize Breeding Populations with Genotyping-by-Sequencing
por: Crossa, José, et al.
Publicado: (2013)

Genotype imputation for the prediction of genomic breeding values in non-genotyped and low-density genotyped individuals
por: Cleveland, Matthew A, et al.
Publicado: (2011)

High density genotype storage for plant breeding in the Chado schema of Breedbase
por: Morales, Nicolas, et al.
Publicado: (2020)

Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction
por: Montesinos-López, Abelardo, et al.
Publicado: (2016)

Crop phenotype prediction using biclustering to explain genotype-by-environment interactions
por: Pham, Hieu, et al.
Publicado: (2022)

Selection of new sweetpotato hybrids for West Africa using accelerated breeding scheme and genotype × environment interaction under drought stress
por: Mahaman Mourtala, Issa Zakari, et al.
Publicado: (2023)

Genotype by environment interactions in coral bleaching
por: Drury, Crawford, et al.
Publicado: (2021)

Identifying Breeding Priorities for Blueberry Flavor Using Biochemical, Sensory, and Genotype by Environment Analyses
por: Gilbert, Jessica L., et al.
Publicado: (2015)

Crossing performance of dutch pig breeds
por: Vos, MPM
Publicado: (1971)

Growth Performance of Local Chicken Breeds, a High-Performance Genotype and Their Crosses Fed with Regional Faba Beans to Replace Soy
por: Nolte, Tanja, et al.
Publicado: (2020)

Control of meiotic crossing over in plant breeding
por: Strelnikova, S.R., et al.
Publicado: (2023)

Genotyping by sequencing for genomic prediction in a soybean breeding population
por: Jarquín, Diego, et al.
Publicado: (2014)

Plant-environment interactions /
Publicado: (2006)

Plant-environment interactions /
Publicado: (2000)

G × EBLUP: A novel method for exploring genotype by environment interactions and genomic prediction
por: Song, Hailiang, et al.
Publicado: (2022)

Genotype × Environment Interaction and Stability Analysis of Commercial Hybrid Grain Corn Genotypes in Different Environments
por: Adham, Azmi, et al.
Publicado: (2022)

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction
por: Bandeira e Sousa, Massaine, et al.
Publicado: (2017)

A Variational Bayes Genomic-Enabled Prediction Model with Genotype × Environment Interaction
por: Montesinos-López, Osval A., et al.
Publicado: (2017)

Genotype by Environment Interaction on Resistance to Cassava Green Mite Associated Traits and Effects on Yield Performance of Cassava Genotypes in Nigeria
por: Jiwuba, Lydia, et al.
Publicado: (2020)

Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions
por: Robert, Pauline, et al.
Publicado: (2020)

Genotype-by-environment interactions affecting heterosis in maize
por: Li, Zhi, et al.
Publicado: (2018)

Parent-progeny imputation from pooled samples for cost-efficient genotyping in plant breeding
por: Technow, Frank, et al.
Publicado: (2017)

Accuracy of breeding values of 'unrelated' individuals predicted by dense SNP genotyping
por: Meuwissen, Theo HE
Publicado: (2009)

Cannot write session to /tmp/vufind_sessions/sess_unj7671pdu6cve29opn3d4gke6