01898     2200301   4500001002100000005001500021035002000036007000300056008004100059020002200100082001200122084001800134100001900152245011200171250001300283260003400296300003200330700001700362700001800379700001800397520108900415600001901504600001701523600001801540600001801558856000601576990001401582INLIS00000000000111620221110111353  a0010-1122000005ta221110                g          0 eng    a978-602-344-282-9  a662.756  a662.756 MUH b0 aMuhamad Sabran1 aBoosting The Big Data of Plant With Digital Identifiers :b- /cBadan Penelitian dan Pengembangan Pertanian  a1 : 2020  aJakarta :bIAARD Press,c2020  a413 hlm :bilus ;c21 cme-0 aPuji Lestari0 aDani Satyawan0 aToto Hadiarto  aData and information add value to plant genetic resources collection. Technologies for generating and analyzing large quantities of genotypic and phenotyoic data are evolving at accelerating rates. This high volume of data is beyond the capacity of the traditional data processing software to deal with. In the era of big data, one of the significant challenges faced by scientists and plant breeders is the need to accesc information about plant genetic resources quickly and efficiently. The International Treaty on Plant Genetic Resources for Food and Agriculture established global information system in support of the multilateral system of access on plant genetic resources and the sharing of the benefir arising from their use. One innovative approach in the global information system is the assignation of Digital Object Identifiers ti crop germplasm. This identifier may function ad "google" in plant genetic resources for food and agriculture, i.e. by knowing the identifier one can find all information on accession of plant genetic resources assigned with such identifier. 4aMuhamad Sabran 4aPuji Lestari 4aDani Satyawan 4aToto Hadiarto  a-  a47/H/2022