LEADER 05404nam 2200457z- 450 001 9910220047203321 005 20210211 035 $a(CKB)3800000000216305 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49125 035 $a(oapen)doab49125 035 $a(EXLCZ)993800000000216305 100 $a20202102d2017 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHarnessing Useful Rhizosphere Microorganisms for Pathogen and Pest Biocontrol 210 $cFrontiers Media SA$d2017 215 $a1 online resource (334 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-059-7 330 $aGrowing demographic trends require sustainable technologies to improve quality and yield of future food productions. However, there is uncertainty about plant protection strategies in many agro-ecosystems. Pests, diseases, and weeds are overwhelmingly controlled by chemicals which pose health risks and cause other undesirable effects.Therefore, an increasing concern on control measures emerged in recent years. Many chemicals became questioned with regard to their sustainability and are (or will be) banned. Alternative management tools are studied, relying on biological, and low impact solutions. This ResearchTopic concerns microbial biocontrol agents, root-associated microbiomes, and rhizosphere networks. Understanding how they interact or respond to (a)biotic environmental cues is instrumental for an effective and sustainable impact. The rhizosphere is in this regard a fundamental object of study, because of its role in plant productivity. This e-book provides a polyhedral perspective on many issues in which beneficial microorganisms are involved. Data indeed demonstrate that they represent an as yet poorly-explored resource, whose exploitation may actively sustain plant protection and crop production. Given the huge number of microbial species present on the planet, the microorganisms studied represent just the tip of an iceberg. Data produced are, however, informative enough about their genetic and functional biodiversity, as well as about the ecosystem services they provide to underp in crop production. Challenges for future research work concern not only the biology of these species, but also the practices required to protect their biodiversity and to extend their application in the wide range of agricultural soils and systems present in the world. Agriculture cannot remain successfully and sustainable unless plant germplasm and useful microbial species are integrated, a goal for which new knowledge and information-based approaches are urgently needed.Growing demographic trends require sustainable technologies to improve quality and yield of future food productions. However, there is uncertainty about plant protection strategies in many agro-ecosystems. Pests, diseases, and weeds are overwhelmingly controlled by chemicals which pose health risks and cause other undesirable effects.Therefore, an increasing concern on control measures emerged in recent years. Many chemicals became questioned with regard to their sustainability and are (or will be) banned. Alternative management tools are studied, relying on biological, and low impact solutions. This ResearchTopic concerns microbial biocontrol agents, root-associated microbiomes, and rhizosphere networks. Understanding how they interact or respond to (a)biotic environmental cues is instrumental for an effective and sustainable impact. The rhizosphere is in this regard a fundamental object of study, because of its role in plant productivity. This e-book provides a polyhedral perspective on many issues in which beneficial microorganisms are involved. Data indeed demonstrate that they represent an as yet poorly-explored resource, whose exploitation may actively sustain plant protection and crop production. Given the huge number of microbial species present on the planet, the microorganisms studied represent just the tip of an iceberg. Data produced are, however, informative enough about their genetic and functional biodiversity, as well as about the ecosystem services they provide to underp in crop production. Challenges for future research work concern not only the biology of these species, but also the practices required to protect their biodiversity and to extend their application in the wide range of agricultural soils and systems present in the world. Agriculture cannot remain successfully and sustainable unless plant germplasm and useful microbial species are integrated, a goal for which new knowledge and information-based approaches are urgently needed. 606 $aMicrobiology (non-medical)$2bicssc 610 $abiocontrol 610 $aendophyte 610 $ainduced resistance 610 $aomics 610 $aplant growth promotion 610 $aPlant Microbe Interaction 610 $aRhizosphere Microbiology 610 $aSoil Microbiology 610 $asymbosis 615 7$aMicrobiology (non-medical) 700 $aCorne M.J. Pieterse$4auth$01296305 702 $aAurelio Ciancio$4auth 702 $aJesus Mercado-Blanco$4auth 906 $aBOOK 912 $a9910220047203321 996 $aHarnessing Useful Rhizosphere Microorganisms for Pathogen and Pest Biocontrol$93023980 997 $aUNINA LEADER 04793nam 22007215 450 001 9910254207003321 005 20200705130343.0 010 $a3-319-25855-9 024 7 $a10.1007/978-3-319-25855-3 035 $a(CKB)3710000000501061 035 $a(EBL)4084479 035 $a(SSID)ssj0001584762 035 $a(PQKBManifestationID)16264269 035 $a(PQKBTitleCode)TC0001584762 035 $a(PQKBWorkID)14865672 035 $a(PQKB)11515133 035 $a(DE-He213)978-3-319-25855-3 035 $a(MiAaPQ)EBC4084479 035 $a(PPN)190523042 035 $a(EXLCZ)993710000000501061 100 $a20151105d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSocial Network Analysis Applied to Team Sports Analysis /$fby Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (101 p.) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 300 $aDescription based upon print version of record. 311 $a3-319-25854-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Social Network Analysis: Concepts and definitions -- Observational tools to collect data in team sports -- Micro Levels of analysis: P layer?s centralities in the team -- Meso Level of analysis: Subgroups in Teams -- Macro Levels of analysis: Network of the team -- Argentina?s Network Analysis in FIFA World Cup 2014: A case study. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}. 330 $aExplaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aGraph theory 606 $aSports sciences 606 $aStatistics 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aGraph Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M29020 606 $aSport Science $3https://scigraph.springernature.com/ontologies/product-market-codes/L29010 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aGraph theory. 615 0$aSports sciences. 615 0$aStatistics. 615 14$aMathematical and Computational Engineering. 615 24$aGraph Theory. 615 24$aSport Science . 615 24$aStatistics and Computing/Statistics Programs. 676 $a620 700 $aClemente$b Filipe Manuel$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763549 702 $aMartins$b Fernando Manuel Lourenço$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMendes$b Rui Sousa$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254207003321 996 $aSocial Network Analysis Applied to Team Sports Analysis$92517420 997 $aUNINA