METHODS FOR PREDICTING PALM OIL YIELD OF A TEST OIL PALM PLANT

• Main Authors: ONG, Ai Ling, MOHD YUSOF, Hirzun, TAN, Bee Aik, ANUAR, Norazura, KUA, Shwu Fun, APPLETON, David Ross, RUZLAN, Nurliyana, LOW, Jaime Yoke Sum, MUSA, Noor Azizah, OTHMAN, Ainul Masni, CHANDRAN, Anusha Nair, KULAVEERASINGAM, Harikrishna, HO, Li Sim, WIN, Wilonita
• Format: Patent
• Language: English; French; German
• Published: 13.06.2018
• Subjects: BEER; BIOCHEMISTRY; CHEMISTRY; COMPOSITIONS OR TEST PAPERS THEREFOR; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES; ENZYMOLOGY; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PROCESSES OF PREPARING SUCH COMPOSITIONS; SPIRITS; VINEGAR; WINE

Methods for predicting palm oil yield of a test oil palm plant are disclosed. The methods comprise determining, from a sample of a test oil palm plant of a population, at least a first SNP genotype, corresponding to a first SNP marker, located in a first candidate gene region for a high-oil-production trait and associated, after stratification and kinship correction, with the high-oil-production trait with a p-value <0.001 in the population or having a linkage disequilibrium r2 value of at least 0.2 with respect to a first other SNP marker that is linked thereto and associated, after stratification and kinship correction, with the high-oil-production trait a p-value <0.001 in the population. The methods also comprise comparing the first SNP genotype to a corresponding first reference SNP genotype and predicting palm oil yield of the test plant based on extent of matching of the SNP genotypes.