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Beschreibung
This investigation was carried out to study the genetic diversity of 31 potato genotypes using biometrical methods for 3 consecutive years. Statistical procedure of DMRT and analysis of variance, variability, correlation, path coefficient and genetic diversity were studied. The DMRT and analysis of variance study reveals that 31 genotypes, year and interaction (G×Y) item were well differentiated. Lower value of environmental variance than genotypic and phenotypic variance and high GCV as well as PCV percentage was observed for most of the characters in the genetic parameter study suggest that the greater variability among the varieties was due to genetic causes. Correlation coefficient and path co-efficient analysis suggest that significant positive relationship of tuber weight (yield)/plant with most of the characters both at genotypic and phenotypic levels In order to find out the extent of genetic diversity among the 31 potato genotypes principal component analysis (PCA), cluster analysis, principal coordinate analysis (PCO), cluster diagram and cluster mean were performed.
This investigation was carried out to study the genetic diversity of 31 potato genotypes using biometrical methods for 3 consecutive years. Statistical procedure of DMRT and analysis of variance, variability, correlation, path coefficient and genetic diversity were studied. The DMRT and analysis of variance study reveals that 31 genotypes, year and interaction (G×Y) item were well differentiated. Lower value of environmental variance than genotypic and phenotypic variance and high GCV as well as PCV percentage was observed for most of the characters in the genetic parameter study suggest that the greater variability among the varieties was due to genetic causes. Correlation coefficient and path co-efficient analysis suggest that significant positive relationship of tuber weight (yield)/plant with most of the characters both at genotypic and phenotypic levels In order to find out the extent of genetic diversity among the 31 potato genotypes principal component analysis (PCA), cluster analysis, principal coordinate analysis (PCO), cluster diagram and cluster mean were performed.
Über den Autor
Md. Nasiruddin was joining as a Lecturer on 02/01/2010 in the department of Botany, Rajshahi University. From 01/01/2013 he has been promoted as Assistant Professor and recently he completed his Ph.D. under the supervision of Prof. Dr. AKM Rafiul Islam in the subject of Botany, University of Rajshahi.
Details
Erscheinungsjahr: 2016
Fachbereich: Gentechnologie
Genre: Biologie, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 68 S.
ISBN-13: 9783659976322
ISBN-10: 3659976326
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Nasiruddin, M.
Monzur Hossain, M.
Rafiul Islam, A. K. M.
Hersteller: LAP LAMBERT Academic Publishing
Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 220 x 150 x 5 mm
Von/Mit: M. Nasiruddin (u. a.)
Erscheinungsdatum: 18.11.2016
Gewicht: 0,119 kg
Artikel-ID: 107803040

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