I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Mixed model-based Jinks and Pooni method to predict segrega..:
Mezzomo, Henrique Caletti
;
Casagrande, Cleiton Renato
;
Sousa, Diana Jhulia Palheta de
...
Crop Breeding and Applied Biotechnology. 21 (2021) 4 - p. , 2021
Link:
https://doi.org/10.1590/1984-70332021v21n4a52
RT Journal T1
Mixed model-based Jinks and Pooni method to predict segregating populations in wheat breeding
UL https://suche.suub.uni-bremen.de/peid=cr-10.1590_1984-70332021v21n4a52&Exemplar=1&LAN=DE A1 Mezzomo, Henrique Caletti A1 Casagrande, Cleiton Renato A1 Sousa, Diana Jhulia Palheta de A1 Borém, Aluízio A1 Silva, Fabyano Fonseca e A1 Nardino, Maicon PB FapUNIFESP (SciELO) YR 2021 SN 1984-7033 SN 1518-7853 JF Crop Breeding and Applied Biotechnology VO 21 IS 4 LK http://dx.doi.org/https://doi.org/10.1590/1984-70332021v21n4a52 DO https://doi.org/10.1590/1984-70332021v21n4a52 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)