Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matheus D. Krause"'
1AbstractGenetic improvements of discrete characteristics such as flower color, the genetic improvements are obvious and easy to demonstrate; however, for characteristics that are measured on continuous scales, the genetic contributions are increment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1b56dd5af912563090ad229c44796ce
https://doi.org/10.1101/2023.05.13.540664
https://doi.org/10.1101/2023.05.13.540664
Autor:
Kaio O. G. Dias, Jhonathan P. R. dos Santos, Matheus D. Krause, Hans-Peter Piepho, Lauro J. M. Guimarães, Maria M. Pastina, Antonio A. F. Garcia
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::303c848f66c225c927e109944652d538
https://doi.org/10.1007/s00122-022-04041-y
https://doi.org/10.1007/s00122-022-04041-y
Autor:
Christopher M Montes, Carolyn Fox, Álvaro Sanz-Sáez, Shawn P Serbin, Etsushi Kumagai, Matheus D Krause, Alencar Xavier, James E Specht, William D Beavis, Carl J Bernacchi, Brian W Diers, Elizabeth A Ainsworth
Publikováno v:
Genetics
Photosynthesis is a key target to improve crop production in many species including soybean [Glycine max (L.) Merr.]. A challenge is that phenotyping photosynthetic traits by traditional approaches is slow and destructive. There is proof-of-concept f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb141e1f04c0e0e07e95c594a5413ad8
https://doi.org/10.1093/genetics/iyac065
https://doi.org/10.1093/genetics/iyac065
1AbstractSoybean (Glycine max(L.) Merr.) provides plant-based protein for global food production and is extensively bred to create cultivars with greater productivity in distinct environments. Plant breeders evaluate new soybean genotypes using multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7040c655b64462b93dbf232913cba6f
https://doi.org/10.1101/2022.04.11.487885
https://doi.org/10.1101/2022.04.11.487885
Autor:
Kaio O G, Dias, Jhonathan P R, Dos Santos, Matheus D, Krause, Hans-Peter, Piepho, Lauro J M, Guimarães, Maria M, Pastina, Antonio A F, Garcia
Publikováno v:
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik. 135(4)
We propose using probability concepts from Bayesian models to leverage a more informed decision-making process toward cultivar recommendation in multi-environment trials. Statistical models that capture the phenotypic plasticity of a genotype across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6feee51192fd52f2d8888d9f6293fa9d
https://pubmed.ncbi.nlm.nih.gov/35192008
https://pubmed.ncbi.nlm.nih.gov/35192008