Q&A: Methods for estimating genetic gain in sub‐Saharan Africa and achieving improved gains

Autor: Ibnou Dieng, Brian Gardunia, Giovanny Covarrubias‐Pazaran, Dorcus C. Gemenet, Bodo Trognitz, Sam Ofodile, Kayode Fowobaje, Solomon Ntukidem, Trushar Shah, Simon Imoro, Leena Tripathi, Hapson Mushoriwa, Ruth Mbabazi, Stella Salvo, John Derera

Publikováno v: The Plant Genome, Vol 17, Iss 2, Pp n/a-n/a (2024)

Abstract Regular measurement of realized genetic gain allows plant breeders to assess and review the effectiveness of their strategies, allocate resources efficiently, and make informed decisions throughout the breeding process. Realized genetic gain

Externí odkaz: https://doaj.org/article/33ffc4e64a1c473592c283d8825744cf

Novel disease resistance gene paralogs created by CRISPR/Cas9 in soy

Autor: Mingqui Deng, Neil Yu, Richard J. Lawrence, Linda Ann Rymarquis, Miguel E. Vega-Sanchez, Graeme S Garvey, Megan Gillespie, Nona LaFaver, Julia L. Stevens, Steven Johnson, Chris S Hubmeier, Robert T. Gaeta, Qianshun Cheng, Audrey L Vaughn, Brian Gardunia, Ervin D. Nagy

Publikováno v: Plant Cell Reports

Key message Novel disease resistance gene paralogues are generated by targeted chromosome cleavage of tandem duplicated NBS-LRR gene complexes and subsequent DNA repair in soybean. This study demonstrates accelerated diversification of innate immunit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8acd338f36c602de0226678fbc7d736
https://doi.org/10.1007/s00299-021-02678-5

Genomic selection using random regressions on known and latent environmental covariates

Autor: Daniel J. Tolhurst, R. Chris Gaynor, Brian Gardunia, John M. Hickey, Gregor Gorjanc

Publikováno v: Tolhurst, D J, Gaynor, R C, Gardunia, B, Hickey, J M & Gorjanc, G 2022, ' Genomic selection using random regressions on known and latent environmental covariates ', TAG Theoretical and Applied Genetics, vol. 135, pp. 3393-3415 . https://doi.org/10.1007/s00122-022-04186-w

Key message The integration of known and latent environmental covariates within a single-stage genomic selection approach provides breeders with an informative and practical framework to utilise genotype by environment interaction for prediction into

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ac64e96bd6703f8633806f108103945
https://pubmed.ncbi.nlm.nih.gov/36066596

Genetic progress in cowpea [Vigna unguiculata (L.) Walp.] stemming from breeding modernization efforts at the International Institute of Tropical Agriculture.

Autor: Ongom, Patrick Obia, Fatokun, Christian, Togola, Abou, Dieng, Ibnou, Salvo, Stella, Gardunia, Brian, Mohammed, Saba Baba, Boukar, Ousmane

Publikováno v: Plant Genome; Jun2024, Vol. 17 Issue 2, p1-16, 16p

Genomic Prediction of Resistance to Tar Spot Complex of Maize in Multiple Populations Using Genotyping-by-Sequencing SNPs.

Autor: Cao, Shiliang, Song, Junqiao, Yuan, Yibing, Zhang, Ao, Ren, Jiaojiao, Liu, Yubo, Qu, Jingtao, Hu, Guanghui, Zhang, Jianguo, Wang, Chunping, Cao, Jingsheng, Olsen, Michael, Prasanna, Boddupalli M., San Vicente, Felix, Zhang, Xuecai

Publikováno v: Frontiers in Plant Science; 7/16/2021, Vol. 12, p1-12, 12p