LEADER 01518nam a2200397 i 4500 001 991001809009707536 008 120914s2012 riua b 001 0 eng d 020 $a9780821846940 035 $ab14074059-39ule_inst 040 $aDip.to Matematica e Fisica$beng 082 04$a515.352$223 084 $aAMS 34B15 084 $aAMS 34B16 084 $aAMS 34C28 084 $aAMS 34C37 084 $aAMS 34E05 084 $aAMS 35A24 084 $aAMS 35C07 084 $aAMS 37C29 084 $aAMS 37D45 084 $aLC QA379.H377 100 1 $aHastings, Stuart P.$0477400 245 10$aClassical methods in ordinary differential equations :$bwith applications to boundary value problems /$cStuart P. Hastings, J. Bryce McLeod 260 $aProvidence, R. I. :$bAmerican Mathematical Society,$cc2012 300 $axvii, 373 p. :$bill. ;$c26 cm 440 0$aGraduate studies in mathematics,$x1065-7339 ;$v129 504 $aIncludes bibliographical references and index 650 0$aBoundary value problems 650 0$aDifferential equations, Nonlinear 700 1 $aMcLeod, J. Bryce$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0515318 907 $a.b14074059$b13-11-12$c14-09-12 912 $a991001809009707536 945 $aLE013 34B HAS11 (2012)$g1$i2013000217611$lle013$op$pE62.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i1545650x$z12-11-12 996 $aClassical methods in ordinary differential equations$91442430 997 $aUNISALENTO 998 $ale013$b14-09-12$cm$da $e-$feng$griu$h0$i0 LEADER 04617nam 22005655 450 001 9910253891903321 005 20200629205337.0 010 $a3-319-43275-3 024 7 $a10.1007/978-3-319-43275-5 035 $a(CKB)3710000000831531 035 $a(DE-He213)978-3-319-43275-5 035 $a(MiAaPQ)EBC4649815 035 $a(PPN)19480707X 035 $a(EXLCZ)993710000000831531 100 $a20160820d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgricultural Proteomics Volume 1 $eCrops, Horticulture, Farm Animals, Food, Insect and Microorganisms /$fedited by Ghasem Hosseini Salekdeh 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XI, 245 p. 27 illus., 22 illus. in color.) 311 $a3-319-43273-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. Applications of quantitative proteomics in plant research -- 2. Seed proteomics: an overview -- 3. Fruit development and ripening: proteomic as an approach to study Olea europaea and other non-model organisms -- 4. Proteomics in detection of contaminations and adulterations in agricultural foodstuffs -- 5. Holistic sequencing: Moving forward from plant microbial proteomics to metaproteomics -- 6. Proteomics in Energy Crops -- 7. The Proteome of Orchids -- 8. Proteomic Tools for the Investigation of Nodule Organogenesis -- 9. Proteomic Applications for Farm Animal Management -- 10. Applications of proteomics in Aquaculture -- 11. Wool proteomics -- 12. Proteomic research on honeybee. 330 $aThis book will cover several topics to elaborate how proteomics may enhance agricultural productivity. These include crop and food proteomics, farm animal proteomics, aquaculture, microorganisms and insect proteomics. It will also cover several technical advances, which may address the current need for comprehensive proteome analysis. An emerging field of the proteomics aim is to integrate knowledge from basic sciences and to translate it into agricultural applications to solve issues related to economic values of farm animals, crops, food security, health, and energy sustainability. Given the wealth of information generated and to some extent applied in agriculture, there is the need for more efficient and broader channels to freely disseminate the information to the scientific community. Agricultural Proteomics can play a role in addressing the growing demand for food. The application of proteome science in agriculture has allowed researchers to identify a broad spectrum of proteins in living systems and associates them to many major traits. It may give clues not only about nutritional value but also about yield production and food quality and how environments affect these factors. In recent years, technical improvements in the mass spectrometry, bioinformatics, protein extraction and separation have made the high-throughput analysis of agricultural products feasible and the reproducibility of the technology has reduced errors in assaying protein levels. Meanwhile, the application of mass spectrometry-based quantification methods have become mainstream in recent year. The rapid advances of genome sequencing tools also paved the way to sequence the full genome of many crops, animals, insects, and microorganisms. This provided proteomics scientist with a huge number of reference genome and genes for genome wide proteome analysis. . 606 $aAgriculture 606 $aProteomics 606 $aEntomology 606 $aFood?Biotechnology 606 $aAgriculture$3https://scigraph.springernature.com/ontologies/product-market-codes/L11006 606 $aProteomics$3https://scigraph.springernature.com/ontologies/product-market-codes/L1403X 606 $aEntomology$3https://scigraph.springernature.com/ontologies/product-market-codes/L25090 606 $aFood Science$3https://scigraph.springernature.com/ontologies/product-market-codes/C15001 615 0$aAgriculture. 615 0$aProteomics. 615 0$aEntomology. 615 0$aFood?Biotechnology. 615 14$aAgriculture. 615 24$aProteomics. 615 24$aEntomology. 615 24$aFood Science. 676 $a630 702 $aSalekdeh$b Ghasem Hosseini$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910253891903321 996 $aAgricultural Proteomics Volume 1$92524443 997 $aUNINA