Genetic diversity for fruit morphological and biochemical characters of indigenous mango (<i>Mangifera indica</i> L.) cultivars of coastal districts in Andhra Pradesh using principal component analysis

Himabindu, A.; Srihari, D.; Rajasekhar, M.; Sudhavani, V.; Subbarammamma, P.; Krishna, K. Uma; Rao, M. Paratpara

doi:10.5958/0975-928x.2017.00119.3

Cited by 5 publications

(3 citation statements)

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“…It also helps to group the clusters according to their average performance. These results are in line with the reports of Manchekar et al (2011), Assessment of Genetic Divergence by Using Multivariate Analysis for Physico Chemical Characters of Mango Table and Juicy... Shazia et al (2017), Majumdar et al (2013), Himabindu et al (2017, Rajan et al (2009), Sandra et al (2013), Barholia and Sangeetha (2014), Rathod (2007), Indian et al (2019) in mango; Ismail (2008) in case of lemon.…”

Section: Principal Component Analysis (Pca)supporting

confidence: 87%

“…Hence, genotypes from these clusters may be utilized in the hybridization programme to produce wide variability and transgressive segregants from diverse parents. Similar studies were conducted by Rajan et al (2007) in guava; Rai and Misra (2005) in Bael, Kalia et al (2001), Govanakoppa et al (2002), Ramaprasad et al (2006), Sharma et al (2013) in apple, Barhate et al (2012); Barholia and Sangeeta (2014); Indian et al (2019), Himabindu et al (2017), Shazia et al (2017), Indian et al, (2019); Manchekar et al (2011) and Rajan et al (2009) in mango.…”

Section: Principal Component Analysis (Pca)supporting

confidence: 65%

“…and Majumdar et al (2013), Tewodros Bezu Neguse et al (2018 andHimabindu et al (2017) in mango. Hence, it is indicating that, to give emphasis on traits which had a significant contribution to the observed variation for future breeding program.…”

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confidence: 99%

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Assessment of Genetic Divergence by Using Multivariate Analysis for Physico Chemical Characters of Mango Table and Juicy Cultivars Grown in Telangana Region

Soujanya¹,

Kumar²,

Vanisri³

et al. 2022

AJDFR

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Background: Mango (Mangifera indica L.) is well known for its diversity in Indian subcontinent and 1000 well known varieties are present all over the India among them 40 to 50 are having commercial importance. The present experiment was carried out at College of Horticulture, Rajendranagar during the year 2018-19 and 2019-20 to assess the genetic diversity in fifty mango cultivars using multivariate analysis over 25 physico-chemical characters. Methods: To assess the genetic diversity using D2 analysis and principal component analysis over 50 mango cultivars during 2 consecutive years. Result: In the present investigation, the first seven principal components with eigen values more than one contributed 78.50 % of cumulative variance among fifty genotypes. Fifty genotypes were grouped into eight clusters among them cluster I was the largest comprising of twenty-six genotypes. Average inter cluster distance ranged from 218.93 between cluster V and VII to 1475.21 between cluster IV to VIII. Intra cluster distance ranged from 0.00 in cluster V, VI, VII and VIII to 280.69 in cluster III. The present results are most divergent for fruit weight, total phenols content, total flavonoid content, DA reading, fibre content, beta carotene, antioxidant activity, fruit length, fruit thickness. Selection of genotypes from clusters that are far genetically and had the maximum association of physico chemical characters to obtain superior segregants in the advanced generation to improve the quality of breeding in the future.

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Section: Principal Component Analysis (Pca)supporting

confidence: 87%

Section: Principal Component Analysis (Pca)supporting

confidence: 65%