LEADER 00000cam  22006857i 4500 
001    on1055826092 
003    OCoLC 
005    20200419054552.9 
006    m     o  d         
007    cr nn||||mamaa 
008    180926s2018    sz a    o     000 0 eng d 
015    GBB8N1352|2bnb 
016 7  019076884|2Uk 
019    1055436597|a1060597577|a1081291619|a1086507289|a1103272882
       |a1105194659|a1107346302|a1111202260 
020    9783319912233|q(electronic book) 
020    3319912232|q(electronic book) 
020    |z9783319912226 
020    |z3319912224 
035    (OCoLC)1055826092|z(OCoLC)1055436597|z(OCoLC)1060597577
       |z(OCoLC)1081291619|z(OCoLC)1086507289|z(OCoLC)1103272882
       |z(OCoLC)1105194659|z(OCoLC)1107346302|z(OCoLC)1111202260 
037    com.springer.onix.9783319912233|bSpringer Nature 
040    DKU|beng|erda|cDKU|dGW5XE|dYDX|dUAB|dUPM|dOCLCF|dOTZ|dOH1
       |dLVT|dOCLCQ|dUKMGB|dU3W|dVT2|dCAUOI|dLEAUB|dMERER|dLQU 
049    STJJ 
050  4 QH323.5 
072  7 SCI086000|2bisacsh 
072  7 PSA|2thema 
072  7 PSA|2bicssc 
082 04 570.15195|223 
100 1  Céron-Rojas, J. Jesus,|eauthor. 
245 10 Linear selection indices in modern plant breeding /|cJ. 
       Jesus Céron-Rojas, José Crossa. 
264  1 Cham :|bSpringer,|c2018. 
300    1 online resource (xxii, 256 pages) :|bcolor illustrations
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
505 0  General introduction -- The linear phenotypic selection 
       index theory -- Constrained linear phenotypic selection 
       indices -- Constrained linear phenotypic selection indices
       -- Linear marker and genomic selection indices -- Linear 
       genomic selection indices -- Constrained linear genomic 
       selection indices -- Linear phenotypic eigen selection 
       index methods -- Linear molecular and genomic eigen 
       selection index methods -- Multistage linear selection 
       indices -- Stochastic simulation of four linear phenotypic
       selection indices -- RIndSel: Selection indices with R. 
520    This open access book focuses on the linear selection 
       index (LSI) theory and its statistical properties. It 
       addresses the single-stage LSI theory by assuming that 
       economic weights are fixed and known - or fixed, but 
       unknown - to predict the net genetic merit in the 
       phenotypic, marker and genomic context. Further, it shows 
       how to combine the LSI theory with the independent culling
       method to develop the multistage selection index theory. 
       The final two chapters present simulation results and SAS 
       and R codes, respectively, to estimate the parameters and 
       make selections using some of the LSIs described. It is 
       essential reading for plant quantitative geneticists, but 
       is also a valuable resource for animal breeders. 
590    SpringerLink|bSpringer Nature Open Access eBooks 
650  0 Selection indexes (Plant breeding) 
650  0 Plant breeding. 
650  0 Statistics. 
650  7 Plant breeding.|2fast|0(OCoLC)fst01065287 
650  7 Selection indexes (Plant breeding)|2fast
       |0(OCoLC)fst01111377 
650  7 Statistics.|2fast|0(OCoLC)fst01132103 
650  7 Science|xLife Sciences|xBotany.|2bisacsh 
650  7 Science|xLife Sciences|xZoology|xGeneral.|2bisacsh 
650  7 Plant reproduction & propagation.|2bicssc 
650  7 Animal reproduction.|2bicssc 
650  7 Science|xLife Sciences|xGeneral.|2bisacsh 
650  7 Life sciences: general issues.|2bicssc 
650 10 Biometry.|0http://id.loc.gov/authorities/subjects/
       sh85014244 
650 20 Plant breeding|xBiotechnology.|0http://
       scigraph.springernature.com/things/product-market-codes/
       L24060 
650 20 Animal Genetics and Genomics.|0http://
       scigraph.springernature.com/things/product-market-codes/
       L32030 
700 1  Crossa, José,|eauthor. 
776 08 |iPrinted edition:|z9783319912226 
776 08 |iPrinted edition:|z9783319912240 
914    on1055826092 
994    92|bSTJ