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Multivariate analysis in Indian mustard genotypes for morphological and quality traits

KrishiKosh

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Title Multivariate analysis in Indian mustard genotypes for morphological and quality traits
 
Creator Rao, Pankaj
 
Contributor Ram Avtar
 
Subject Indian mustard, Characterization, Cluster, Principal components, Principal factors, Variability
 
Description Forty three genotypes of Indian mustard were evaluated and categorized for 20 morphological
and five oil quality traits into distinct classes. Majority of the genotypes were characterized with
intermediate number of primary and many number of secondary branches/plant. All the genotypes
recorded intermediate number of seeds/siliqua and had long main shoots whereas, more than half of
genotypes had high seed yield/plant, while majority were having medium seed size and medium oil
content. Moreover, three genotypes were identified with ‘00’ characteristics. Principal component
analysis identified nine principal components (PCs) which explained about 77.16% of the total
variability. PC1 explained 16.65% of total variation, PC2 depicted 11.87% and PC3 accounted for
10.58% of the total variation. Varimax rotation enabled loading of similar type of variables on a
common principal factor permitting to designate them as seed yield, maturity, leaf and siliqua
characters; and oil content factors. On the basis of principal factor analysis, the genotypes
RH(OE)0801, EC597320, EC597341, EC597344, EC592579. EC592584 and JM6014(YS) were
identified superior for seed yield/plant; the genotypes JM6009, JM6011, EC697334 and ZEM-1 for oil
content; JM6009, NUDBYJ-10, Pusa Mustard-21, RLC-2 and ZEM-2 showed superiority for erucic
acid and JM6004(YS), JM6026 and EC552583 were found superior due to having low glucosinolate
content. These genotypes may further be utilized in breeding programmes for developing Indian
mustard varieties with high seed yield and superior oil content with “00” characters. Hierarchical
cluster analysis categorized all the 43 genotypes into 8 clusters containing one to 16 genotypes. Based
on the inter-cluster distances, maximum genetic diversity was observed between clusters I and VII
(11788.81) followed between clusters III and VII (9695.28) and clusters I and VI (8582.15) indicating
that genotypes from these clusters can usefully be hybridized for getting superior recombinants in
segregating generations. The results of cluster and principal factor analyses were in corroboration.
 
Date 2016-10-07T10:27:41Z
2016-10-07T10:27:41Z
2015
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/80218
 
Language en
 
Format application/pdf
 
Publisher CCSHAU