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Molecular approaches for improving oil palm for oil
- Source :
- Mol Breed
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- The oil palm, originating from Africa, is the most productive oil crop species. Palm oil is an important source of edible oil. Its current global plantation area is over 23 million ha. The theoretical oil yield potential of the oil palm is 18.2 tons/ha/year. However, current average oil yield is only 3.8 tons/ha/year. In the past 100 years, conventional breeding and improvement of field management played important roles in increasing oil yield. However, conventional breeding for trait improvement was limited by its very long (10–20 years) phenotypic selection cycle, although it improved oil yield by ~10–20% per generation. Molecular breeding using novel molecular technologies will accelerate genetic improvement and may reduce the need to deforest and to use arable land for expanding oil palm plantations, which in turn makes palm oil more sustainable. Here, we comprehensively synthesize information from relevant literature of the technologies, achievements, and challenges of molecular approaches, including tissue culture, haploid breeding, mutation breeding, marker-assisted selection (MAS), genomic selection (GS), and genome editing (GE). We propose the characteristics of ideal palms and suggest a road map to breed ideal palms for sustainable palm oil.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Molecular breeding
Mutation breeding
Agroforestry
food and beverages
Review
Plant Science
Biology
01 natural sciences
Breed
body regions
03 medical and health sciences
030104 developmental biology
Yield (wine)
Genetics
Palm oil
Arable land
Palm
Agronomy and Crop Science
Molecular Biology
Selection (genetic algorithm)
010606 plant biology & botany
Biotechnology
Subjects
Details
- ISSN :
- 15729788 and 13803743
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Molecular Breeding
- Accession number :
- edsair.doi.dedup.....ff8d175784d02f85e9903d075dac2b6e