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Pre evaluation of cassava (Manihot esculenta Crantz) germplasm for genotypic variation in the identification of K efficient genotypes through different statistical tools

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Title Pre evaluation of cassava (Manihot esculenta Crantz) germplasm for genotypic variation in the identification of K efficient genotypes through different statistical tools
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Creator K. Susan John1 • J. Sreekumar2 • M. N. Sheela3 • S. U. Shanida Beegum1 • Sanket J. More1 • G. Suja
 
Subject Cassava Genotypic variation Physiological efficiency Principal component analysis Cluster analysis Biplot Dendrogram
 
Description Not Available
Among the tropical tuber crops, cassava (Manihot
esculenta Crantz) deserves special attention as regards
to its higher biological efficiency in terms of dry matter
production which incidentally implies to the higher amount
of nutrient extraction from the soil resulting in better
response to the application of manures and fertilizers.
Among the major nutrients, Potassium (K) is considered as
the key nutrient for cassava owing to its influence both in
tuber yield and tuber quality. The above facts as well as the
availability of sufficient cassava genotypes in the germplasm
collection of ICAR-CTCRI made us to initiate
research work to screen cassava germplasm including the
pre breeding lines. The objective being to identify K
efficient genotypes which can yield well under limited
availability of K so that the external application of K can
be reduced. This paper describes the wide variation noticed
during the pre evaluation of 83 elite genotypes which was
done as a prelude in the screening and identification of K
efficient genotypes. The characters studied were tuber
yield, tuber characters, plant dry matter percentage, plant K
content, tuber quality (starch, cyanogenic glucosides)
attributes, physiological efficiency and plant biometric
characters. The variation among the genotypes for the
above traits was assessed by making some yardstick for
classification which in turn helped in determining the
percent distribution of genotypes in each category. The
variation among the genotypes were further affirmed
through principal component analysis, wherein the first five
components explained more than 77% of variability and
the cluster analysis performed grouped these genotypes
into five clusters. The biplot showed the traits which are
closely linked to the genotypes. The dendrogram constructed
indicated similar genotypes to that of the clusters
to the extent of more than 50% revealing the association of
members with similar traits in clusters and dendrograms.
The study helped in establishing the drastic variation
among the genotypes along with identification of six
genotypes viz., Aniyoor, 7 Sahya (2), 7 III E3-5, W-19, CR
43-8, 6-6 for further detailed experimentation to identify K
efficient genotypes.
Not Available
 
Date 2021-08-04T06:25:03Z
2021-08-04T06:25:03Z
2020-08-14
 
Type Article
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/52866
 
Language English
 
Relation Not Available;
 
Publisher Springer