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Genome-based predictions of sub-genome genetic interactions effects in wheat populations
David González-Diéguez (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOMES WHEAT GENETICS MARKER-ASSISTED SELECTION GENETIC VARIANCE HYBRIDS
Genomic prediction of hybrid crops accounting for non additive genetic effects
David González-Diéguez (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MARKER-ASSISTED SELECTION HYBRIDS MAIZE GENOMES GENETICS GENETIC VARIANCE CROPS
Osval Antonio Montesinos-Lopez ABELARDO MONTESINOS LOPEZ RICARDO ACOSTA DIAZ Rajeev Varshney Jose Crossa ALISON BENTLEY (2022, [Artículo])
Genomic selection (GS) is a predictive methodology that trains statistical machine-learning models with a reference population that is used to perform genome-enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection. However, to optimize resources, sparse testing methods have been proposed. A common approach is to guarantee a proportion of nonoverlapping and overlapping lines allocated randomly in locations, that is, lines appearing in some locations but not in all. In this study we propose using incomplete block designs (IBD), principally, for the allocation of lines to locations in such a way that not all lines are observed in all locations. We compare this allocation with a random allocation of lines to locations guaranteeing that the lines are allocated to
the same number of locations as under the IBD design. We implemented this benchmarking on several crop data sets under the Bayesian genomic best linear unbiased predictor (GBLUP) model, finding that allocation under the principle of IBD outperformed random allocation by between 1.4% and 26.5% across locations, traits, and data sets in terms of mean square error. Although a wide range of performance improvements were observed, our results provide evidence that using IBD for the allocation of lines to locations can help improve predictive performance compared with random allocation. This has the potential to be applied to large-scale plant breeding programs.
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA Bayes Theorem Genome Inflammatory Bowel Diseases Models, Genetic Plant Breeding
Alison Bentley Charles Chen Nunzio D'Agostino (2022, [Artículo])
Allele Mining High-Throughput Phenotyping Genomic Estimated Breeding Value CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP IMPROVEMENT DNA CHROMOSOME MAPPING GENETIC LINKAGE GENOMES GENOTYPING GERMINATION HEAT STRESS QUALITY CONTROL SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM GENETIC DIVERSITY (AS RESOURCE) HIGH-THROUGHPUT SEQUENCING
Applications of in vitro tissue culture technologies in breeding and genetic improvement of wheat
Akila Wijerathna-Yapa BHOJA BASNET (2022, [Artículo])
Wheat Biotechnology Genome Editing Cas9 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CRISPR GENE EDITING TISSUE CULTURE WHEAT BIOTECHNOLOGY
Shailendra Sharma deepmala sehgal Apekshita Singh Shailendra Goel SoomNath Raina (2022, [Artículo])
Corona Viruses Genome Structure Novel Mutations Resistance to Vaccines SARS-CoV-2 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COVID-19 ANTIBODY FORMATION LIFE CYCLE VACCINATION VACCINES LINEAGE
Vanika Garg Rutwik Barmukh Manish Roorkiwal Chris Ojiewo Abhishek Bohra MAHENDAR THUDI Vikas Kumar Singh Himabindu Kudapa Reyaz Mir Chellapilla Bharadwaj Xin Liu Manish Pandey (2024, [Artículo])
Agricultural Biotechnology Crop Genomics Genome Sequencing CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOTECHNOLOGY CROPS GENOMICS PLANT BREEDING AGRICULTURE GENETIC IMPROVEMENT
Yogesh Vikal Manje Gowda (2023, [Artículo])
Brown Mid-Rib Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOMASS SILAGE DIGESTIBILITY GENOME-WIDE ASSOCIATION STUDIES MARKER-ASSISTED SELECTION MAIZE
Enhancing maize's nitrogen-fixing potential through ZmSBT3, a gene suppressing mucilage secretion
jiafa chen XUECAI ZHANG Jianyu Wu (2023, [Artículo])
Aerial Roots ZmSBT3 Diazotroph CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE ADVENTITIOUS ROOTS MUCILAGES NITROGEN FIXATION GENOME-WIDE ASSOCIATION STUDIES GENE CLONING NITROGEN FIXING BACTERIA
Genomic approaches for improving grain zinc and iron content in wheat
Chandan Roy Govindan Velu (2022, [Artículo])
Genome-Wide Association Study New Breeding Techniques Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOFORTIFICATION MARKER-ASSISTED SELECTION MALNUTRITION BREEDING QUANTITATIVE TRAIT LOCI MAPPING SPEED BREEDING ZINC IRON WHEAT