Resultados de búsqueda - "Genomics"

The pangenome of banana highlights differences between genera and genomes por Rijzaani, Habib, Bayer, Philipp E., Rouard, Mathieu, Doležel, Jaroslav, Batley, Jacqueline, Edwards, David

Materias: “…genomics…”
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Genetics and genomic approaches for sustainable dairy cattle improvement por Mrode, Raphael A.

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Genomic Selection model to predict grain Zn concentrations por CGIAR Research Program on Rice

Materias: “…genomic selection…”
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Novel genomic regions and donors for grain zinc content por CGIAR Research Program on Rice

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Proof of concept - early generation genomic selection in wheat por CGIAR Research Program on Wheat

Materias: “…genomic selection…”
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Deep learning applications for genomic selection in wheat breeding por CGIAR Research Program on Wheat

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Response to early generation genomic selection for yield in wheat por CGIAR Research Program on Wheat

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New traits and genomic selection for GIFT breeding programme por Barria, Agustin

Materias: “…genomic selection…”
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Response to early generation genomic selection for yield in wheat por Bonnett, David G., Yongle Li, Crossa, José, Dreisigacker, Susanne, Basnet, Bhoja Raj, Pérez Rodriguez, Paulino, Alvarado Beltrán, Gregorio, Jannink, Jean-Luc, Poland, Jesse A., Sorrells, Mark Earl

Materias: “…genomics…”
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Genomic adaptation of Ethiopian indigenous cattle to high altitude por Terefe, Endashaw, Belay, Gurja, Han Jianlin, Hanotte, Olivier H., Tijjani, Abdulfatai

“…Selection for high-altitude adaptation is expected to have imprinted the genomes of livestock living in these areas. Here we assess the genomic signatures of positive selection for high altitude adaptation in three cattle populations from the Ethiopian mountainous areas (Semien, Choke, and Bale mountains) compared to three Ethiopian lowland cattle populations (Afar, Ogaden, and Boran), using whole-genome resequencing and three genome scan approaches for signature of selection (iHS, XP-CLR, and PBS). …”
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Genomic architecture of selection for adaptation to challenging environments in aquaculture por Yu, Xiaofei

Materias: “…genomics…”
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Comparative genomic analysis and phylogenetic position of Theileria equi por Kappmeyer, Lowell S, Thiagarajan, Mathangi, Herndon, David R, Ramsay, Joshua D, Caler, Elisabet, Djikeng, Appolinaire, Gillespie, Joseph J., Lau, Audrey O.T., Roalson, Eric H., Silva, Joana C., Silva, Marta G, Suarez, Carlos E, Ueti, Massaro W, Nene, Vishvanath M., Mealey, Robert H, Knowles, Donald P., Brayton, Kelly A

“…Indeed, a number of genes identified as potential manipulators of the host cell phenotype are absent from the T. equi genome. Comparative genomic analysis of T. equi revealed the phylogenetic positioning relative to seven apicomplexan parasites using deduced amino acid sequences from 150 genes placed it as a sister taxon to Theileria spp.The EMA family does not fit the paradigm for classical antigenic variation, and we propose a novel model describing the role of the EMA family in persistence. …”
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Functional analysis and transcriptional output of the Göttingen minipig genome por Heckel, Tobias, Schmucki, Roland, Berrera, Marco, Ringshandl, Stephan, Badi, Laura, Steiner, Guido, Ravon, Morgane, Küng, Erich, Kuhn, Bernd, Kratochwil, Nicole A., Schmitt, Georg, Kiialainen, Anna, Nowaczyk, Corinne, Daff, Hamina, Khan, Azinwi Phina, Lekolool, Isaac, Pellé, Roger, Okoth, Edward A., Bishop, Richard P., Daubenberger, Claudia A., Ebeling, Martin, Certa, Ulrich

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Identification of cassava genome regions associated with drought tolerance por Bedoya-Moreno, María Alejandra, Bohorquez-Chaux, Adriana, Barrera-Enríquez, Vianey, Sanchez Sarria, Camilo, Zhang, Xiaofei

Materias: “…genomes…”
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Genomic regions of durum wheat involved in water productivity por Zaim, Meryem, Sanchez-Garcia, Miguel, Belkadi, Bouchra, Filali-Maltouf, Abdelkarim, Al-Abdallat, Ayed, Kehel, Zakaria, Bassi, Filippo

“…The accessions were assigned to water responsiveness classes, with genotypes ‘Responsive to Low Moisture’ reaching an average + 1.5 kg ha -1 mm -1 yield advantage. Genome wide association studies (GWAS) revealed that six loci explained most of this variation. …”
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Genomic predictions to leverage phenotypic data across genebanks por El-Hanafi, Samira, Jiang, Yong, Kehel, Zakaria, Schulthess, Albert W, Zhao, Yusheng, Mascher, Martin, Haupt, Max, Himmelbach, Axel, Stein, Nils, Amri, Ahmed, Reif, Jochen Christoph

Materias: “…genomic prediction…”
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Designing dioscorea genomes for improved nutritional and pharmaceutical properties por Bhattacharjee, Ranjana

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Banana Genome Hub: empowering global collaboration in research por Rouard, Mathieu

“…As an important information system in the landscape of plant genomic research, it has supported numerous organizations worldwide to conduct studies on banana genome evolution and diversity. …”
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Genomic Prediction in Faba bean for Heat and Herbicide Tolerance por Abou-Khater, Lynn, Maalouf, Fouad, Hamwieh, Aladdin, Jighly, Abdul-Qader, Joukhadar, Reem, Alsamman, Alsamman M., Ahmed, Zayed Babiker Mahgoub, Balech, Rind, Hu, Jinguo, Ma, Y., Sanchez-Garcia, Miguel, Agrawal, Shiv Kumar

Materias: “…genomic prediction…”
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Data augmentation enhances plant-genomic-enabled predictions por Montesinos-Lopez, Osval A., Solis-Camacho, Mario Alberto, Crespo Herrera, Leonardo A., Saint Pierre, Carolina, Huerta Prado, Gloria Isabel, Ramos-Pulido, Sofia, Al-Nowibet, Khalid, Fritsche-Neto, Roberto, Gerard, Guillermo S., Montesinos-Lopez, Abelardo, Crossa, José

Materias: “…genomes…”
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