Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat.
Zhao Y, Thorwarth P, Jiang Y, Philipp N, Schulthess AW, Gils M, Boeven PHG, Longin CFH, Schacht J, Ebmeyer E, Korzun V, Mirdita V, Dörnte J, Avenhaus U, Horbach R, Cöster H, Holzapfel J, Ramgraber L, Kühnle S, Varenne P, Starke A, Schürmann F, Beier S, Scholz U, Liu F, Schmidt RH, Reif JC.
Zhao Y, et al.
Sci Adv. 2021 Jun 11;7(24):eabf9106. doi: 10.1126/sciadv.abf9106. Print 2021 Jun.
Sci Adv. 2021.
PMID: 34117061
Free PMC article.
Here, we report on efforts to enter a new data era in plant breeding by collecting genomic and phenotypic information from 12,858 wheat genotypes representing 6575 single-cross hybrids and 6283 inbred lines that were evaluated in six experimental series for y …
Here, we report on efforts to enter a new data era in plant breeding by collecting genomic and phenotypic information from 12,858 …