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PREDICTION OF SSR AND SNP MARKERS FOR ANTHRACNOSE RESISTANCE IN YAM USING BIOINFORMATICS TOOLS AND THEIR VALIDATION

By: SAHLA K.

Contributor(s): Dr. J SREEKUMR.

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BookPublisher: COLLEGE OF AGRICULTURE VELLAYANI DEPARTMENT OF BIOTECHNOLOGY 2018Edition: BSc - MSc (INTEGRATED) BIOTECHNOLOGY.DDC classification: IBT P18 SA 84

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Item type	Current location	Collection	Call number	Status	Date due	Barcode
Theses	College of Agriculture, Vellayani	MTH	IBT P18 SA 84 (Browse shelf)	Available		KAU_COAV-Th2033

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Previous	IBT P18 RE 76 DEVELOPMENT OF FUNCTIONAL SSR MARKERS FOR D - LIMONENE CONTENT AND ANALYSIS OF GENETIC POLYMORPHISM IN CARDAMOM (Elettaria cardamomum Maton)	IBT P18 RE 85 COMPARITIVE EVALUATION OF TOOLS FOR GENE REGULATORY NETWORK PREDICTION AND NETWORK RECONSTRUCTION USING GENOMIC DATA	IBT P18 SA 77 GENETIC DIVERSITY ANALYSIS OF SWEET POTATO (Ipomoea batatas (L.) LAM.) GERMPLASM USING MORPHOLOGICAL AND ISSR MARKERS	IBT P18 SA 84 PREDICTION OF SSR AND SNP MARKERS FOR ANTHRACNOSE RESISTANCE IN YAM USING BIOINFORMATICS TOOLS AND THEIR VALIDATION	IBT P18 SH 69 IDENTIFICATION AND EVALUATION OF ENDOPHYTES FROM TROPICAL TUBER CROPS AGAINST Colletotrichum gloeosporioides (PENZ.) SACC. CAUSING ANTHRACNOSE IN GREATER YAM (Dioscorea alata L.)	IBT P18 SR 80 CLONING AND EXPRESSION OF COAT PROTEIN GENE OF SWEET POTATO CURL VIRUS (SPLCV)	IBT P18 VI 81 DEVELOPMENT OF INFECTIOUS CLONES OF CASSAVA MOSAIC VIRUS AND THEIR VALIDATION	Next

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Kerala Agricultural University Central Library

PREDICTION OF SSR AND SNP MARKERS FOR ANTHRACNOSE RESISTANCE IN YAM USING BIOINFORMATICS TOOLS AND THEIR VALIDATION

By: SAHLA K.

Contributor(s): Dr. J SREEKUMR.

Browsing College of Agriculture, Vellayani Shelves Close shelf browser