1 resultado para Wages and Labor Productivity
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Archive On-line (Stockholm University; Sweden) (2)
- Academic Research Repository at Institute of Developing Economies (29)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Aquatic Commons (9)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Archive of European Integration (39)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (9)
- Aston University Research Archive (14)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (14)
- Boston University Digital Common (3)
- Brock University, Canada (1)
- CentAUR: Central Archive University of Reading - UK (16)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (5)
- Cochin University of Science & Technology (CUSAT), India (8)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (33)
- Cornell: DigitalCommons@ILR (6)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (1)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (9)
- Digital Howard @ Howard University | Howard University Research (1)
- Digital Repository at Iowa State University (2)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (2)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (5)
- Duke University (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (18)
- Harvard University (5)
- Helda - Digital Repository of University of Helsinki (7)
- Indian Institute of Science - Bangalore - Índia (7)
- Infoteca EMBRAPA (1)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Gulbenkian de Ciência (1)
- Instituto Politécnico do Porto, Portugal (3)
- Memoria Académica - FaHCE, UNLP - Argentina (9)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (5)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (4)
- Portal de Revistas Científicas Complutenses - Espanha (4)
- Publishing Network for Geoscientific & Environmental Data (64)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (29)
- Queensland University of Technology - ePrints Archive (49)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (48)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (49)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (3)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (26)
- Universidad Politécnica de Madrid (9)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Montréal, Canada (59)
- Université Laval Mémoires et thèses électroniques (2)
- University of Connecticut - USA (7)
- University of Michigan (202)
- University of Queensland eSpace - Australia (8)
- University of Washington (4)
- WestminsterResearch - UK (1)
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.