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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

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