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Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Akshaya Biswal Daisuke Urano (2022, [Artículo])
Heterotrimeric G Proteins Extra-Large G Proteins Cas9 OsXLG CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CRISPR RICE PROTEINS PLANT GROWTH DISEASE RESISTANCE
Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat
Admas Alemu Abebe Pawan Singh Aakash Chawade (2023, [Artículo])
Septoria Tritici Blotch Wheat Breeding Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOME-WIDE ASSOCIATION STUDIES MYCOSPHAERELLA GRAMINICOLA DISEASE RESISTANCE WHEAT PLANT GROWTH
An updated checklist of plant agrobiodiversity of northern Italy
Marco Canella Nicola Maria Giuseppe Ardenghi Graziano Rossi Filippo Guzzon (2022, [Artículo])
Ex Situ Conservation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ETHNOBOTANY LANDRACES ON-FARM CONSERVATION PLANT GENETIC RESOURCES
MAHENDAR THUDI Abhishek Bohra Spurthi Nayak Trushar Shah R. Varma Penmetsa Nepolean Thirunavukkarasu Pooran Gaur Pawan Kulwal Hari Upadhyaya Polavarapu Kavi Kishor Rajeev Varshney (2011, [Artículo])
Molecular Markers Recombinant Inbred Lines CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC MARKERS MICROSATELLITES PLANTS DNA CHICKPEAS ARRAYS TECHNOLOGY CHROMOSOME MAPPING GENETIC VARIATION GENOTYPES MOLECULAR CLONING
Manish Pandey Trushar Shah David Bertioli Rajeev Varshney (2012, [Artículo])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BACKCROSSING GENOTYPES GROUNDNUTS MICROSATELLITES ARACHIS HYPOGAEA CHROMOSOME MAPPING PLANTS GENETIC MARKERS QUANTITATIVE TRAIT LOCI TETRAPLOIDY
Monitoring the threat of unintentional transgene flow into maize gene banks and breeding materials
Monica Mezzalama Rodomiro Ortiz (2010, [Artículo])
Genetic Integrity Germplasm Enhancement Genetically Modified Maize CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING GERMPLASM MAIZE RECOMBINANT DNA TRANSGENES GENETIC ENGINEERING PLANTS BIOSAFETY
RICARDO VAZQUEZ JUAREZ TANIA ZENTENO SAVIN ENRIQUE MORALES BOJORQUEZ Elvia Pérez Rosales Lilia Alcaráz Meléndez María Esther Puente Eduardo Quiroz Guzmán (2017, [Artículo])
"In this communication, the diversity and beneficial characteristics of endophytic bacteria have been studied in Simmondsia chinensis that has industrial importance because of the quality of its seed oil. Endophytes were isolated (N = 101) from roots of the jojoba plants collected, of which eight were identified by partial sequencing of the 16S rDNA gene. The isolated bacteria were Bacillus sp., Methylobacterium aminovorans, Oceanobacillus kimchi, Rhodococcus pyridinivorans and Streptomyces sp. All isolates had at least one positive feature, characterizing them as potential plant growth promoting bacteria. In this study, R. pyridinivorans and O. kimchi are reported as plant growth promoters."
Endophytic bacteria, plant growth promoters, Simmondsia chinensis, seed oil BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA MICROBIOLOGÍA BACTERIOLOGÍA BACTERIOLOGÍA
Establishment of heterotic groups for hybrid wheat breeding
Yunbi Xu (2022, [Artículo])
Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPS FORECASTING PLANTS COMBINING ABILITY HETEROSIS HETEROTIC GROUPS MALE INFERTILITY PLANT HEIGHT WHEAT
Yong Zhang Leonardo Abdiel Crespo Herrera Julian Chen (2022, [Artículo])
Cereal Aphid Salivary Protein Plant Immunity RNA Interference Aphid Performance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA APHIDOIDEA PLANTS RNA PROTEINS
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