Methods for predicting palm oil yield of test oil palm plant

A technology for experimental oil and palm oil, applied in biochemical equipment and methods, microbe measurement/inspection, bioinformatics, etc., can solve problems to be determined

Active Publication Date: 2018-08-03
SIME DARBY PLANTATION INTPROP SDN BHD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, whether and to what extent SEP-like proteins play a role in regulating oil palm fruit morphology and / or palm oil production remains to be determined

Method used

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  • Methods for predicting palm oil yield of test oil palm plant
  • Methods for predicting palm oil yield of test oil palm plant
  • Methods for predicting palm oil yield of test oil palm plant

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Experimental program
Comparison scheme
Effect test

Embodiment

[0108] Sampling and DNA preparation

[0109] 4,623 pairs representing genome-wide association study (also known as GWAS) mapped populations derived from 27 oil palm sources, including commercial Ulu Remis dura x AVROSpisifera populations and commercial Banting dura x AVROS pisifera populations, among others Oil palm plants were sampled. The 27 oil palm sources include the following: (1) (BD x NIFOR) x Jenderata, (2) Deli x AVROS, (3) Deli x Ekona, (4) (Elaeisguineensis x Elaeis oleifera) hybrid x AVROS, (5) Ekona x AVROS, (6) GM) x DA, (7) JL x AVROS, (8) JL x DA, (9) JL x HRU, (10) JL x IRHO, (11) (JL x HRU) x AVROS, (12) NIFOR x AVROS, (13) (NIFOR x DA)1, (14) (NIFOR x DA)2, (15) NIFOR x IRHO, (16) Nigerian xAVROS, (17) Serdang Avenue x AVROS, (18) UR x AVROS, (19)UR x DA, (20)UR x IRHO, (21)UR x Lobe, (22)(UR x NIFOR)1, (23)(UR x NIFOR)2, (24)(UR x NIFOR)3, (25) UR x Serdang AVROS, (26) UR x Serdang pisifera and (27) BD x AVROS. Sample selection was based on good repres...

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Abstract

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 QTL for a high-oil-production trait and associated, after stratification and kinship correction, with the high-oil-production trait with a genome-wide-log10(p-value) of at least 7.0 in the population or having a linkage disequilibrium r2 value of at least 0.2 with respect to a first other SNP marker linked thereto and associated, after stratification and kinship correction, with the high-oil-production trait with a genome-wide-log10(p-value) of at least 7.0 in the population. The methods also comprise comparing the first SNP genotype to acorresponding first reference SNP genotype and predicting palm oil yield of the test plant based on extent of matching of the SNP genotypes.

Description

technical field [0001] The present application relates to a method for predicting palm oil yield of experimental oil palm plants, and more particularly, to a method for predicting palm oil yield of experimental oil palm plants comprising experimental oil palm from a population of oil palm plants Determine at least a first single nucleotide polymorphism (also referred to as SNP) genotype of the experimental oil palm plant in the sample of the plant, the first SNP genotype corresponds to the first SNP marker, and the second SNP of the experimental oil palm plant A SNP genotype is compared to a corresponding first reference SNP genotype indicative of a high oil yield trait in the same genetic background as the population, and based on the first SNP genotype of the experimental oil palm plant and the corresponding first reference SNP genotype The degree of matching to predict the palm oil yield of the experimental oil palm plant. Background technique [0002] African oil palm E...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6895
CPCC12Q1/6895C12Q2600/13C12Q2600/156G16B20/00C12Q1/6827
Inventor A·L·龙Q·B·克翁C·K·特M·穆罕默德F·T·周D·R·阿普尔顿H·库拉维拉辛加姆
Owner SIME DARBY PLANTATION INTPROP SDN BHD
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