physicochemical
Contents of 39(1 & 2) 2011 - acharya ng ranga agricultural university
Contents of 39(1 & 2) 2011 - acharya ng ranga agricultural university
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ABSTRACTS<br />
The path analysis indicated high and direct effect of<br />
biological yield per plant (g) and number of pods per<br />
plant on seed yield in both desi and kabuli genotypes.<br />
Direct selection through these traits for improvement of<br />
seed yield would be highly effective.<br />
Of 11 characters studied, 100-seed weight,<br />
days to maturity and days to 50% flowering contributed<br />
maximum towards divergence in both desi and kabuli<br />
genotypes.<br />
The principal component (PC) analysis<br />
identifies 4 principal components for both desi and kabuli<br />
genotypes with eigen values exceeding one. The<br />
contribution by the first PC is maximum for both the<br />
groups. Characters like days to maturity, 100-seed weight<br />
and number of primary branches contributed more in<br />
desi genotypes , while in kabuli genotypes, seed yield<br />
per plant, 100-seed weight and biological yield per plant<br />
contributed more in first PC.<br />
Therefore, hybridization among the parents<br />
selected from these clusters will produce superior<br />
segregants. Dendrogram obtained by cluster analysis<br />
showed the sub grouping of genotypes within the cluster,<br />
which is not possible through D 2 analysis. MSc. (Ag)<br />
2008.<br />
Characterization of cotton germplasm (Gossipium hirsutem L.)<br />
Student: P. Padmavathi<br />
Department of Genetics and Plant Breeding<br />
The present investigation was carried out<br />
during kharif 2007 at Agricultural College Farm, Bapatla<br />
to characterize 60 genotypes of cotton (Gossipium<br />
hirsutem L.) , using International Bureau of Plant Genetic<br />
Resources (IBPGR) descriptors and to study the<br />
variability, heritability, genetic advance as per cent of<br />
mean, genetic divergence, character association and<br />
the magnitude of direct and indirect effects of 15 yield<br />
component traits with seed cotton yield per plant.<br />
The morphological descriptors indicated<br />
variability for 17 characters out of 27 characters studied<br />
and these traits are helpful for the identification of these<br />
germplasm lines from others and some of the characters<br />
like medium stem hairiness can be exploited for breeding<br />
pest resistant genotypes.<br />
Correlation study indicated that plant height,<br />
number of monopodia per plant, number of sympodia<br />
per plant, number of bolls per plant, boll weight, seed<br />
index, lint index and lint yield per plant had positive<br />
significant association with seed cotton yield per plant.<br />
While number of bolls per plant and boll weight showed<br />
negative significant association with each other<br />
indicating economic balance among these traits has to<br />
be made to get improvement in seed cotton yield per<br />
plant.<br />
The path analysis indicated that number of<br />
sympodia per plant, number of bolls per plant, boll<br />
weight, seed index and lint yield per plant had positive<br />
direct effects on seed cotton yield per plant as correlation<br />
of these parameters was positive and significant, direct<br />
selection through these characters for improvement in<br />
seed cotton yield per plant should be highly rewarding.<br />
By Mahalanobis “D 2 statistic, it could be inferred<br />
that number of monopodia per plant, seed index, number<br />
of sympodia per plant and plant height contributed<br />
maximum towards genetic divergence. Based on intraand<br />
inter-cluster distance among the groups,<br />
suggestions to obtain better and desirable segregants<br />
were made to attempt crosses after confirming their<br />
general combining ability between cluster XIII (G 204-<br />
13) and cluster X V (TXORHY1-78).<br />
Principal component analysis identified six<br />
principal components (PCs), which contributed 87.315<br />
per cent of cumulative variance. The significant factors<br />
loaded in PC1, number of sympodia per plant, number<br />
of monopodia per plant, plant height, seed index and<br />
bundle strength, contributed maximum for divergence.<br />
Agglomerative cluster analysis revealed that<br />
wide genetic distance exists between cluster III (CPD<br />
478, Tx Lama, TXORHY-1-78 and CCH-05-1) and VIII<br />
(TSH 332, L 713 and GSHV-01/35).<br />
The genotypes, TXORHY-1-78, GJHV-01//35,<br />
CCH-05-1 and GSHY-01/ 1338 showed maximum intercluster<br />
distance in Mahalanobi’ D2 analysis, principal<br />
component analysis. So these can be exploited for the<br />
development of desired heterotic hybrids. M.Sc<br />
(Ag), 2008<br />
89