LEADER 01142nam--2200373---4500 001 990000588920203316 005 20050404141832.0 010 $a88-420-4451-2 035 $a0058892 035 $aUSA010058892 035 $a(ALEPH)000058892USA01 035 $a0058892 100 $a20010828d1994----km-y0ENGy0103----ba 101 $aita 102 $aIT 200 1 $aStoria della medicina e della sanità nell'Italia contemporanea$fGiorgio Cosmancini 210 $aRoma$cLaterza$d1994 215 $aXI, 424 p.21 cm 225 2 $aStoria e società 410 $12001$aStoria e società 606 0 $aMedicina$zSec. 20. 676 $a610.904 700 1$aCOSMANCINI,$bGiorgio$0547065 801 0$aIT$bsalbc$gISBD 912 $a990000588920203316 951 $aII.6. 469 (III D COLL. 27/118)$b117381 LM$cIII D COLL. 959 $aBK 969 $aUMA 979 $aPATRY$b90$c20010828$lUSA01$h1044 979 $c20020403$lUSA01$h1708 979 $aPATRY$b90$c20040406$lUSA01$h1641 979 $aCOPAT4$b90$c20050404$lUSA01$h1418 996 $aStoria della medicina e della sanità nell'Italia contemporanea$9882811 997 $aUNISA LEADER 05426nam 2200697Ia 450 001 9910830964103321 005 20230721022823.0 010 $a1-282-30344-9 010 $a9786612303449 010 $a0-8138-0938-X 010 $a0-8138-0906-1 035 $a(CKB)1000000000799127 035 $a(EBL)469144 035 $a(OCoLC)463436662 035 $a(SSID)ssj0000360479 035 $a(PQKBManifestationID)11231422 035 $a(PQKBTitleCode)TC0000360479 035 $a(PQKBWorkID)10347935 035 $a(PQKB)10900413 035 $a(MiAaPQ)EBC469144 035 $a(EXLCZ)991000000000799127 100 $a20090817d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGenes for plant abiotic stress$b[electronic resource] /$feditors, Matthew A. Jenks, Andrew J. Wood 210 $aAmes, IA $cWiley-Blackwell$d2009 215 $a1 online resource (345 p.) 300 $aDescription based upon print version of record. 311 $a0-8138-1502-9 320 $aIncludes bibliographical references and index. 327 $aGenes for Plant Abiotic Stress; Contents; Contributors; Preface; Section 1: Genetic Determinants of Plant Adaptation under Water Stress; 1: Genetic Determinants of Stomatal Function; Introduction; Arabidopsis as a Model System; How Do Stomates Sense Drought Stress?; Signaling Events inside Guard Cells in Response to Drought; Cell Signaling Mutants with Altered Stomatal Responses; Transcriptional Regulation in Stomatal Drought Response; Summary; References; 2: Pathways and Genetic Determinants for Cell Wall-Based Osmotic Stress Tolerance in the Arabidopsis thaliana Root System; Introduction 327 $aGenes That Affect the Cell Wall and Plant Stress ToleranceGenes and Proteins in Cellulose Biosynthesis; Pathways Involved in N-glycosylation and N-glycan Modifications; Dolichol Biosynthesis; Sugar-nucleotide Biosynthesis; Assembly of Core Oligosaccharide; Oligosaccharyltransferase; Processing of Core Oligosaccharides in the ER; Unfolded Protein Response and Osmotic Stress Signaling; N-glycan Re-glycosylation and ER-associated Protein Degradation; N-glycan Modification in the Golgi Apparatus; Ascorbate as an Interface between the N-glycosylation Pathway and Oxidative Stress Response 327 $aBiosynthesis of GPI AnchorMicrotubules; Conclusion; References; 3: Transcription and Signaling Factors in the Drought Response Regulatory Network; Introduction; Drought Stress Perception; Systems Biology Approaches; Transcriptomic Studies of Drought Stress; The DREB/CBF Regulon; ABA Signaling; Reactive Oxygen Signaling; Integration of Stress Regulatory Networks; Assembling the Known Pathways and Expanding Using Gene Expression Networks' Predicted Protein Interactions; Acknowledgments; References; Section 2: Genes for Crop Adaptation to Poor Soil 327 $a4: Genetic Determinants of Salinity Tolerance in Crop PlantsIntroduction; Salinity Tolerance; Conclusion; References; 5: Unraveling the Mechanisms Underlying Aluminum-dependent Root Growth Inhibition; Introduction; Mechanisms of Aluminum Toxicity; Aluminum Resistance Mechanisms; Aluminum Tolerance Mechanisms; Arabidopsis as a Model System for Aluminum Resistance, Tolerance, and Toxicity; Aluminum-sensitive Arabidopsis Mutants; The Role of ALS3 in Al Tolerance; ALS1 Encodes a Half-type ABC Transporter Required for Aluminum Tolerance 327 $aOther Arabidopsis Factors Required for Aluminum Resistance/ToleranceIdentification of Aluminum-tolerant Mutants in Arabidopsis; The Nature of the alt1 Mutations; Conclusions; References; 6: Genetic Determinants of Phosphate Use Effciency in Crops; Introduction; Why Improve Crop Nutrition and the Relationship with World Food Security?; Phosphorus and Crops: Phosphorus as an Essential Nutrient and Its Supply as a Key Component to Crop Yield; Phosphorus and Plant Metabolism: Regulatory and Structural Functions 327 $aPhosphate Starvation: Adaptations to Phosphate Starvation and Current Knowledge about Phosphate Sensing and Signaling Networks during Phosphate Stress 330 $aAbiotic stresses caused by drought, salinity, toxic metals, temperature extremes, and nutrient poor soils are among the major constraints to plant growth and crop production worldwide. While crop breeding strategies to improve yields have progressed, a better understanding of the genetic and biological mechanisms underpinning stress adaptation is needed. Genes For Plant Abiotic Stress presents the latest research on recently examined genes and alleles and guides discussion of the genetic and physiological determinants that will be important for crop improvement in the future. 606 $aCrops$xEffect of stress on 606 $aCrop improvement 606 $aCrops and climate 606 $aCrops$xPhysiology 606 $aCrops$xDevelopment 615 0$aCrops$xEffect of stress on. 615 0$aCrop improvement. 615 0$aCrops and climate. 615 0$aCrops$xPhysiology. 615 0$aCrops$xDevelopment. 676 $a631.5233 676 $a632.1 701 $aJenks$b Matthew A$0521519 701 $aWood$b Andrew J$0918218 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830964103321 996 $aGenes for plant abiotic stress$93933327 997 $aUNINA LEADER 05396nam 2200673Ia 450 001 9911020268103321 005 20200520144314.0 010 $a9786612547652 010 $a9781282547650 010 $a1282547658 010 $a9780470665480 010 $a0470665483 010 $a9780470665466 010 $a0470665467 035 $a(CKB)2670000000014731 035 $a(EBL)514397 035 $a(SSID)ssj0000356434 035 $a(PQKBManifestationID)11277634 035 $a(PQKBTitleCode)TC0000356434 035 $a(PQKBWorkID)10349051 035 $a(PQKB)10933388 035 $a(MiAaPQ)EBC514397 035 $a(OCoLC)612432902 035 $a(Perlego)2750925 035 $a(EXLCZ)992670000000014731 100 $a20100114d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAgricultural survey methods /$fedited by Roberto Benedetti [et. al.] 210 $aChichester, West Sussex $cJohn Wiley & Sons$dc2010 215 $a1 online resource (435 p.) 300 $aBased on papers presented at the 1998, 2001, 2004 and 2007 International Conferences on Agricultural Statistics. 311 08$a9780470743713 311 08$a0470743719 320 $aIncludes bibliographical references and index. 327 $aAgricultural Survey Methods; Contents; List of Contributors; Introduction; 1 The present state of agricultural statistics in developed countries: situation and challenges; 1.1 Introduction; 1.2 Current state and political and methodological context; 1.2.1 General; 1.2.2 Specific agricultural statistics in the UNECE region; 1.3 Governance and horizontal issues; 1.3.1 The governance of agricultural statistics; 1.3.2 Horizontal issues in the methodology of agricultural statistics; 1.4 Development in the demand for agricultural statistics; 1.5 Conclusions; Acknowledgements; Reference 327 $aPart I Census, Frames, Registers and Administrative Data2 Using administrative registers for agricultural statistics; 2.1 Introduction; 2.2 Registers, register systems and methodological issues; 2.3 Using registers for agricultural statistics; 2.3.1 One source; 2.3.2 Use in a farm register system; 2.3.3 Use in a system for agricultural statistics linked with the business register; 2.4 Creating a farm register: the population; 2.5 Creating a farm register: the statistical units; 2.6 Creating a farm register: the variables; 2.7 Conclusions; References 327 $a3 Alternative sampling frames and administrative data. What is the best data source for agricultural statistics?3.1 Introduction; 3.2 Administrative data; 3.3 Administrative data versus sample surveys; 3.4 Direct tabulation of administrative data; 3.4.1 Disadvantages of direct tabulation of administrative data; 3.5 Errors in administrative registers; 3.5.1 Coverage of administrative registers; 3.6 Errors in administrative data; 3.6.1 Quality control of the IACS data; 3.6.2 An estimate of errors of commission and omission in the IACS data; 3.7 Alternatives to direct tabulation 327 $a3.7.1 Matching different registers3.7.2 Integrating surveys and administrative data; 3.7.3 Taking advantage of administrative data for censuses; 3.7.4 Updating area or point sampling frames with administrative data; 3.8 Calibration and small-area estimators; 3.9 Combined use of different frames; 3.9.1 Estimation of a total; 3.9.2 Accuracy of estimates; 3.9.3 Complex sample designs; 3.10 Area frames; 3.10.1 Combining a list and an area frame; 3.11 Conclusions; Acknowledgements; References; 4 Statistical aspects of a census; 4.1 Introduction; 4.2 Frame; 4.2.1 Coverage; 4.2.2 Classification 327 $a4.2.3 Duplication4.3 Sampling; 4.4 Non-sampling error; 4.4.1 Response error; 4.4.2 Non-response; 4.5 Post-collection processing; 4.6 Weighting; 4.7 Modelling; 4.8 Disclosure avoidance; 4.9 Dissemination; 4.10 Conclusions; References; 5 Using administrative data for census coverage; 5.1 Introduction; 5.2 Statistics Canada's agriculture statistics programme; 5.3 1996 Census; 5.4 Strategy to add farms to the farm register; 5.4.1 Step 1: Match data from E to M; 5.4.2 Step 2: Identify potential farm operations among the unmatched records from E 327 $a5.4.3 Step 3: Search for the potential farms from E on M 330 $aDue to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of 606 $aAgriculture$xStatistical methods 606 $aAgricultural mathematics 615 0$aAgriculture$xStatistical methods. 615 0$aAgricultural mathematics. 676 $a630.721 676 $a630.727 701 $aBenedetti$b Roberto$f1964-$082066 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020268103321 996 $aAgricultural survey methods$94420917 997 $aUNINA