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Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Ao Zhang (2023, [Artículo])
Erratic Rainfall Adverse Impacts Traditional Breeding Genome-Wide Association Study Field Drought CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DROUGHT TOLERANCE MAIZE SEEDLING STAGE SINGLE NUCLEOTIDE POLYMORPHISM
XUECAI ZHANG Ao Zhang (2023, [Artículo])
Genome-Wide Association Study Genomic Prediction Ear Height Tassel Branch Number Waxy Corn CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOMICS PLANT HEIGHT SWEET CORN WAXY MAIZE
Zerka Rashid Shilpee Sharma Sudha Nair (2022, [Artículo])
Genome-Wide Association Study Fusarium Stalk Rot CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FUSARIUM MAIZE DISEASE RESISTANCE QUANTITATIVE TRAIT LOCI MAPPING
Genome-wide association study of common resistance to rust species in tetraploid wheat
Daniela Marone Anna Maria Mastrangelo Karim Ammar Filippo Maria Bassi Meinan Wang Xianming Chen Diego Rubiales Oadi Matny Brian Steffenson (2024, [Artículo])
Wheat Rusts Tetraploid Wheat Multi-Location Trials CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA QUANTITATIVE TRAIT LOCI TETRAPLOIDY WHEAT RUSTS GENOME-WIDE ASSOCIATION STUDIES
Min Lin Sebastian Michel Hermann Buerstmayr sridhar bhavani Morten Lillemo (2023, [Artículo])
Wheat Yellow Rust Adult Plant Resistance Genome-Wide Association Study CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS QUANTITATIVE TRAIT LOCI SPRING WHEAT BREEDING LINES
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
Vijay Gahlaut Vandana Jaiswal Pushpendra Kumar Gupta (2019, [Artículo])
Genome-Wide Association Study Marker-Trait Associations CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC LINKAGE GENETICS PROCEDURES QUANTITATIVE TRAIT LOCI WHEAT CHROMOSOME MAPPING
suneel kumar UTTAM KUMAR Guriqbal Singh Dhillon Amit Singh Vinod Mishra Pradeep Kumar Bhati Saikat Das Ramesh Chand Kuldeep Singh Sundeep Kumar (2022, [Artículo])
Spot Blotch Genome-Wide Association Study Marker Trait Association KASP Markers Kompetitive Allele Specific PCR CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TRITICUM AESTIVUM MATERIAL TRANSFER AGREEMENTS MARKER-ASSISTED SELECTION DISEASE RESISTANCE WHEAT
Hussein Shimelis Chris Ojiewo Abhishek Rathore (2023, [Artículo])
Pearl millet (Pennisetum glaucum [L.] R. Br.) is a nutrient-dense, relatively drought-tolerant cereal crop cultivated in dry regions worldwide. The crop is under-researched, and its grain yield is low (< 0.8 tons ha−1) and stagnant in the major production regions, including Burkina Faso. The low productivity of pearl millet is mainly attributable to a lack of improved varieties, Striga hermonthica [Sh] infestation, downy mildew infection, and recurrent heat and drought stress. Developing high-yielding and Striga-resistant pearl millet varieties that satisfy the farmers’ and market needs requires the identification of yield-promoting genes linked to economic traits to facilitate marker-assisted selection and gene pyramiding. The objective of this study was to undertake genome-wide association analyses of agronomic traits and Sh resistance among 150 pearl millet genotypes to identify genetic markers for marker-assisted breeding and trait introgression. The pearl millet genotypes were phenotyped in Sh hotspot fields and screen house conditions. Twenty-nine million single nucleotide polymorphisms (SNPs) initially generated from 345 pearl millet genotypes were filtered, and 256 K SNPs were selected and used in the present study. Phenotypic data were collected on days to flowering, plant height, number of tillers, panicle length, panicle weight, thousand-grain weight, grain weight, number of emerged Striga and area under the Striga number progress curve (ASNPC). Agronomic and Sh parameters were subjected to combined analysis of variance, while genome-wide association analysis was performed on phenotypic and SNPs data. Significant differences (P < 0.001) were detected among the assessed pearl millet genotypes for Sh parameters and agronomic traits. Further, there were significant genotype by Sh interaction for the number of Sh and ASNPC. Twenty-eight SNPs were significantly associated with a low number of emerged Sh located on chromosomes 1, 2, 3, 4, 6, and 7. Four SNPs were associated with days-to-50%-flowering on chromosomes 3, 5, 6, and 7, while five were associated with panicle length on chromosomes 2, 3, and 4. Seven SNPs were linked to thousand-grain weight on chromosomes 2, 3, and 6. The putative SNP markers associated with a low number of emerged Sh and agronomic traits in the assessed genotypes are valuable genomic resources for accelerated breeding and variety deployment of pearl millet with Sh resistance and farmer- and market-preferred agronomic traits.
High-Yielding Varieties Striga-Resistant Agronomic Parameters CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOME-WIDE ASSOCIATION STUDIES STRIGA HERMONTHICA PEARL MILLET