Open AccessGenetic variation among biofortified and late blight tolerant potato (Solanum tuberosum L.) (mini tuber) production in Bangladesh
Author(s) -
Mohammad Ataur Rahman,
M. N. Amin,
Md. Harun-Or Rashid,
Md. Mazadul Islam,
B. C. Kundu,
Md. Mohi Uddin,
Ebna Habib Md Shofiur Rahaman
Publication year - 2021
Publication title -
plant science today
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.204
H-Index - 6
ISSN - 2348-1900
DOI - 10.14719/pst.2021.8.3.1170
Subject(s) - biology , germplasm , solanum tuberosum , blight , randomized block design , crop , horticulture , principal component analysis , agronomy , mathematics , statistics
Biofortified potato could contribute a major role in food security for millions of people. It could help to alleviate worldwide micronutrient malnutrition. An experiment was carried out during 2019-2020 growing season with 49 accessions following randomized complete block design with three replications in order to evaluate and classify agro-morphological traits in Breeder seed production centre (BSPC), Debiganj, Panchagarh. Eight quantitative characters i.e. germination percent, foliage coverage, stem number per hill, plant height, plant vigor, tuber number per plant, tuber weight per plant, yield per plant were measured. Principal components (PC) analysis showed three components explained 72.16 % of the total variation among traits. The first PC assigned 35.22 % and the second PC assigned 58.47 % of total variation between traits. The first PC was more related to yield per plant and weight of tuber. Forty-nine germplasm was placed on three cluster based on cluster analysis using a hierarchical classification (HCA). All accessions were discriminated and high morphological variation was observed. Thus, the outcomes of principal component analysis used in the study have revealed the high level of genetic variation and the traits contributing to the variation were identified. CIP403, CIP404, CIP405, CIP413 and CIP445 accessions identified as superior based on cluster relationship and PCA bi-plot.