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  • ThesisItemOpen Access
    Decipheration of genetic diversity in guava (Psidium guajava L.) using molecular markers
    (CCSHAU, Hisar, 2021) Sonu Kumar; Manender Singh
    An experiment was conducted at Guava Demonstration Centre, Bhuna (Fatehabad) and laboratory work was carried out at Dept. of Horticulture and Dept. of MBB&B, CCS Haryana Agricultural University, Hisar during rainy and winter season 2020-21. Fifteen varities having a wide range of variability in growth, fruit, qualitative traits and genetic variation were studied. Results showed that the significant variation was found in case of tree growth habit, leaf and fruit morphological parameters among different varieties. Maximum values for growth characteristics such as foliage density, fruit length, fruit diameter and fruit weight was found in KG Guava. Most of the varieties had spreading type of growth habit, decussate type of phyllotaxy, oblong type leaf shape, dark green colour of leaf, round type of fruit shape, smooth surface of fruit, yellowish green fruit skin colour and creamy-white color of fruit pulp. KG Guava had maximum foliage density and minimum in L-49 in both season. KG Guava had maximum fruit length and minimum in Lalit in both season. Fruit diameter and weight was maximum in KG Guava and minimum in Allahabad Safeda in both rainy and winter season. TSS and TSS-acidity ratio had maximum in Hisar Safeda and minimum in Arka kiran in both season. Hisar Saeda had minimum titratable acidity and maximum in Arka kiran in both season. L-49 had maximum ascorbic acid and minimum in aishwarya in both rainy and winter season. In molecular characterization, Out of 40 primers 5 primers with no amplification among selected guava varieties and all 35 amplified primers were showed polymorphism. Diversity analysis detected a total of 117 alleles ranging from 2 to 7 alleles with an average of 3.34 per locus. The polymorphic information content had an average value of 0.59 across all 15 varieties with the range of 0.08 in mPgCIR251 to 0.84 in mPgCIR255. The primer mPgCIR236 can be used to distinguishe Pant Red from other varieties. Clustering of varieties distinctly separated into two major groups and PCA (2D and 3D) further showing results according to the clustering in Dendrogram. In population structure analysis the all varieties were grouped into two population and all were categorized as pure population. MAJOR ADVISOR