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
Prediction of genotype performance for untested years based..:
Spoorthi, Vinayak
;
Ramesh, Sampangi
;
Sunitha, Nagenahalli Chandrappa
.
Annals of Applied Biology. 180 (2021) 2 - p. 224-235 , 2021
Link:
https://doi.org/10.1111/aab.12726
RT Journal T1
Prediction of genotype performance for untested years based on additive main effects and multiplicative interaction and linear mixed models: An illustration using dolichos bean (Lablab purpureus (L.) Sweet) multiyear data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1111_aab.12726&Exemplar=1&LAN=DE A1 Spoorthi, Vinayak A1 Ramesh, Sampangi A1 Sunitha, Nagenahalli Chandrappa A1 Vaijayanthi, Panichayil Vijayakumar PB Wiley YR 2021 SN 0003-4746 SN 1744-7348 JF Annals of Applied Biology VO 180 IS 2 SP 224 OP 235 LK http://dx.doi.org/https://doi.org/10.1111/aab.12726 DO https://doi.org/10.1111/aab.12726 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)