Citation
Naharudin, Nazatul Shima and Sinniah, Uma Rani and Mohamad Zaki, Nurqistina Atiqah and Kingimi, Mohammed
(2024)
Phenomics and genomics approaches in improving Tagnanan population towards increasing MATAG production efficiency.
In: 9th International Agriculture Congress 2024, 3-9 Sept. 2024, Putrajaya. (p. 64).
(Submitted)
Abstract
As one of the main coconut hybrid varieties in Malaysia, there is a high demand on MATAG seedlings
production. The seedlings are produced by hand pollinating Malayan Dwarf with pollen from Tagnanan,
a tall coconut variety. Tagnanan is allogamous in nature, therefore the population possess considerable
heterogeneity in yield and performance. Consequently, this condition affects the current hybridization
success rate in producing uniform and genuine MATAG. A strategy to improve Tagnanan population
by incorporating phenotypic and genomics approaches could expedite the process to increase the
efficiency of MATAG seedlings production. A sample of 100 Tagnanan individuals were chosen to
acquire phenotypic data regarding growth, yield, and fruit quality. Genomic DNA were extracted from
young leaf samples of these individuals to develop genotypic data using polymorphic microsatellite
markers. This approach has successfully shown that the current Tagnanan population used as pollen
source in MATAG seed production have moderate variation for yield traits, namely meat weight (CV
– 26%), water volume (CV – 32%), fruit size (CV – 33%) and husk weight (CV – 53%). The genotypic
data was used to estimate population parameters including Shannon’s diversity index (I) of 0.699 and
Nei’s index (h) of 0.4708, indicating moderate allelic variation and heterozygosity in the sample
population. Selection of high yielding individuals were also made possible with the identification of 11
putative SSR markers associated with yield and fruit quality traits. These findings increase the precision
of selecting high performing Tagnanan individuals for the purpose of developing improved and
homogenous Tagnanan population in one selection cycle.
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