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1.
G3 (Bethesda) ; 8(8): 2841-2854, 2018 07 31.
Article in English | MEDLINE | ID: mdl-29967054

ABSTRACT

The availability of high-density molecular markers in common bean has allowed to explore the genetic basis of important complex agronomic traits with increased resolution. Genome-Wide Association Studies (GWAS) and Regional Heritability Mapping (RHM) are two analytical approaches for the detection of genetic variants. We carried out GWAS and RHM for plant architecture, lodging and productivity across two important growing environments in Brazil in a germplasm of 188 common bean varieties using DArTseq genotyping strategies. The coefficient of determination of G × E interaction (c2int ) was equal to 17, 21 and 41%, respectively for the traits architecture, lodging, and productivity. Trait heritabilities were estimated at 0.81 (architecture), 0.79 (lodging) and 0.43 (productivity), and total genomic heritability accounted for large proportions (72% to ≈100%) of trait heritability. At the same probability threshold, three marker-trait associations were detected using GWAS, while RHM detected eight QTL encompassing 145 markers along five chromosomes. The proportion of genomic heritability explained by RHM was considerably higher (35.48 to 58.02) than that explained by GWAS (28.39 to 30.37). In general, RHM accounted for larger fractions of the additive genetic variance being captured by markers effects inside the defined regions. Nevertheless, a considerable proportion of the heritability is still missing (∼42% to ∼64%), probably due to LD between markers and genes and/or rare allele variants not sampled. RHM in autogamous species had the potential to identify larger-effect QTL combining allelic variants that could be effectively incorporated into whole-genome prediction models and tracked through breeding generations using marker-assisted selection.


Subject(s)
Chromosome Mapping , Genome-Wide Association Study , Inheritance Patterns , Phaseolus/genetics , Quantitative Trait, Heritable , Algorithms , Alleles , Gene Expression Regulation, Plant , Genetic Markers , Genomics , Genotype , Linkage Disequilibrium , Models, Genetic , Phaseolus/classification , Phenotype , Quantitative Trait Loci
2.
J Agric Food Chem ; 64(2): 383-93, 2016 Jan 20.
Article in English | MEDLINE | ID: mdl-26785813

ABSTRACT

As global populations continue to increase, agricultural productivity will be challenged to keep pace without overtaxing important environmental resources. A dynamic and integrated approach will be required to solve global food insecurity and position agriculture on a trajectory toward sustainability. Genetically modified (GM) crops enhanced through modern biotechnology represent an important set of tools that can promote sustainable agriculture and improve food security. Several emerging biotechnology approaches were discussed in a recent symposium organized at the 13th IUPAC International Congress of Pesticide Chemistry meeting in San Francisco, CA, USA. This paper summarizes the innovative research and several of the new and emerging technologies within the field of agricultural biotechnology that were presented during the symposium. This discussion highlights how agricultural biotechnology fits within the context of sustainable agriculture and improved food security and can be used in support of further development and adoption of beneficial GM crops.


Subject(s)
Biotechnology , Crops, Agricultural/genetics , Plants, Genetically Modified/genetics , Agriculture , Crops, Agricultural/chemistry , Crops, Agricultural/immunology , Crops, Agricultural/microbiology , Disease Resistance , Food Supply , Plant Diseases/immunology , Plant Diseases/microbiology , Plants, Genetically Modified/chemistry , Plants, Genetically Modified/immunology , Plants, Genetically Modified/microbiology
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