1 resultado para probability indicator
em Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO.
Filtro por publicador
- Repository Napier (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Archive On-line (Karlstad University; Sweden) (2)
- Academic Research Repository at Institute of Developing Economies (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- Aquatic Commons (21)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (3)
- Archive of European Integration (9)
- Aston University Research Archive (21)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (13)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (57)
- Boston University Digital Common (3)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (11)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (56)
- CentAUR: Central Archive University of Reading - UK (65)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (37)
- Cochin University of Science & Technology (CUSAT), India (11)
- Collection Of Biostatistics Research Archive (4)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (5)
- Deakin Research Online - Australia (59)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (16)
- Digital Peer Publishing (1)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- eScholarship Repository - University of California (2)
- Helda - Digital Repository of University of Helsinki (8)
- Indian Institute of Science - Bangalore - Índia (37)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (9)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (10)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (31)
- Publishing Network for Geoscientific & Environmental Data (20)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (105)
- Queensland University of Technology - ePrints Archive (93)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico da Escola Superior de Enfermagem de Coimbra (1)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (7)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (68)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (3)
- School of Medicine, Washington University, United States (3)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (21)
- Universidade Complutense de Madrid (4)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Técnica de Lisboa (2)
- Universitat de Girona, Spain (7)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (10)
- University of Canberra Research Repository - Australia (2)
- University of Michigan (55)
- University of Queensland eSpace - Australia (24)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (2)
Resumo:
reduce costs and labor associated with predicting the genotypic mean (GM) of a synthetic variety (SV) of maize (Zea mays L.), breeders can develop SVs from L lines and s single crosses (SynL,SC) instead of L+2s lines (SynL). The objective of this work was to derive and study formulae for the inbreeding coefficient (IC) and GM of SynL,SC, SynL, and the SV derived from (L+2s)/2 single crosses (SynSC). All SVs were derived from the same L+2s unrelated lines whose IC is FL, and each parent of a SV was represented by m plants. An a priori probability equation for the IC was used. Important results were: 1) the largest and smallest GMs correspond to SynL and SynL,SC, respectively; 2) the GM predictors with the largest and intermediate precision are those for SynL and SynL,SC, respectively; 3) only when FL=1, or m is large, SynL and SynSC are the same population, but only with SynSC prediction costs and labor undergo the maximum decrease, although its prediction precision is the lowest. To determine the SV to be developed, breeders should also consider the availability of lines, single crosses, manpower and land area; besides budget, target farmers, target environments, etc.