Selection indices for identifying heat tolerant of maize (Zea mays)

Pervez Zaidi (2023, [Artículo])

Stress Tolerance Indices Geometric Mean Productivity Stress Susceptibility Index Statistical Correlation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CORRELATION HEAT STRESS ZEA MAYS DROUGHT STRESS BREEDING PROGRAMMES

Editorial: Model organisms in plant science: Maize

Manje Gowda (2023, [Artículo])

Model Organism Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PLANT SCIENCES RESEARCH CROP IMPROVEMENT PLANT PHYSIOLOGY PLANT BREEDING

Erratum: Author Correction: Genetic structure analysis and identifying key founder inbred lines in diverse elite sub-tropical maize inbred lines (Scientific reports (2023) 13 1 (11695))

Melaku Gedil Ana Luisa Garcia-Oliveira Nnanna Unachukwu Cesar Petroli Sarah Hearne Abebe Menkir (2023, [Artículo])

Genetic Relationships Desirable Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC STRUCTURES INBRED LINES MAIZE BREEDING PROGRAMMES

Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding

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

Associations between endogenous spike cytokinins and grain-number traits in spring wheat genotypes

Gemma Molero Carolina Rivera-Amado Matthew Paul Reynolds John Foulkes (2024, [Artículo])

Spike Cytokinins Grain Number Fruiting Efficiency Wheat Breeding CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SPIKES CYTOKININS GRAIN FRUITING HARVEST INDEX WHEAT PLANT BREEDING

Multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

Osval Antonio Montesinos-Lopez Jose Crossa Francisco Javier Martin Vallejo (2018, [Artículo])

Deep Learning Genomic Prediction Bayesian Modeling Shared Data Resources CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BAYESIAN THEORY RESOURCES DATA BREEDING PROGRAMMES

Genetic effects of Rht-B1b and Rht-D1b dwarfing alleles on plant height and agronomic traits of bread wheat (Triticum aestivum L.) breeding lines

Zine El Abidine Fellahi Abderrahmane Hannachi Susanne Dreisigacker deepmala sehgal Hamenna Bouzerzour (2023, [Artículo])

Pleiotropic Effects Reduced Height Genes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PLANT HEIGHT TRITICUM AESTIVUM YIELD COMPONENTS ALLELES BREEDING LINES

Molecular pre-breeding in wheat physiology

David González-Diéguez (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT PRE-BREEDING MOLECULAR GENETICS MARKER-ASSISTED SELECTION INTROGRESSION

Product profile development and prioritization: Important considerations

Yoseph Beyene (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PRODUCTS BREEDING PROGRAMMES MARKET SEGMENTATION TECHNOLOGY GERMPLASM

Use of DH lines in maize breeding programs: CIMMYT experience

Yoseph Beyene (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE BREEDING PROGRAMMES HYBRIDS MARKER-ASSISTED SELECTION GRAIN YIELDS