A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Lal, G. M.
- Bonnisan in Newborns and Infants - A Preliminary Study
Authors
1 Jagjivan Ram Railway Hospital, Bombay 400 008, IN
Source
The Indian Practitioner, Vol 28, No 6 (1975), Pagination: 315-319Abstract
No AbstractKeywords
No Keywords
- Discrimination of Maize (Zea mays L.) Inbreds for Morpho-Physiological and Yield Traits by D2 Statistics and Principal Component Analysis (PCA)
Authors
1 Department of Genetics and Plant Breeding, Allahabad School of Agriculture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad (U.P.), IN
Source
Asian Journal of Bio Science, Vol 11, No 1 (2016), Pagination: 77-84Abstract
To discriminate maize inbred lines based on morpho-physiological and yield traits using D2 statistics and principal component analysis (PCA), fifty five genotypes available at Department of Genetics and Plant breeding, Sam Higginbottom Institute of Agriculture Science and Technology, Allahabad were tested during Rabi 2013-14 under irrigation condition in Randomized Block Design with three replications. Analysis of variance revealed significant differences for 18 characters studied among the genotypes. The D2 statistics displayed that cluster I, being largest group, comprises 37 maize genotypes followed by cluster II (13), III (3), IV (1) and V (1). The maximum intra-cluster distance was obtained for cluster I (624.35) while cluster IV and V showedNull values for it indicating homogeneous nature of the genotypes within the cluster. Further more, maximum inter-cluster distance was recorded between cluster IV and V (22331.82) followed by clusters III and V (15174.83) and clusters II and IV 14480.99). D2 statistics and principal component analysis (PCA) emphasized that days to 50 per cent tasseling, silking and maturity, anthesis-silking interval, seed fill duration, cob weight, 100 seed weight and grain yield/plant were major contributing traits for total genetic diversity. Research results indicated that the inbreds under study are highly diversified and hence, high heterotic hybrids would be resulted through the crossing of diverse lines clubbed under different clusters as parent in any breeding programme aimed to enhance grain yield.
Keywords
D2 Statistics, Heritability, Genetic Advance, PCA.- Genetic Variability, Correlation and Path Coefficient Analysis for yield and its components traits in Chickpea (Cicer arietinum L.)
Authors
1 Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P.- 211007, IN
Source
Research Journal of Science and Technology, Vol 14, No 1 (2022), Pagination: 59-65Abstract
Chickpea is a crucial annual crop widely cultivated in semi-arid tropics. It is one of the most important pulse crops in India. Variability may be a greater need for initiating a breeding program for yield and yield contributing traits. A total of 30 lines, along with a check, were evaluated in Randomized Block Design (RBD) during Rabi 2020-21. Highest seed yield per plant was recorded by PHULE 4-5. All the traits showed significant variation among the lines. Number of seeds per plant, seed yield per plant, number of pods per plant showed high Genotypic Coefficient of Variation (GCV) and Phenotypic Coefficient of Variation (PCV), whereas seed index, number of pods per plant, number of seeds per pod, showed moderate GCV and PCV. Traits exhibiting high heritability coupled with genetic advance as percent of mean suggest that the traits are governed by additive gene action, equal contribution of additive and non-additive gene action respectively. Genotypic correlation coefficient analysis revealed that seed yield per plant showed highly significant and positive association with harvest index (0.930**). Phenotypic correlation coefficient analysis revealed that seed yield per plant showed significant and positive association with number of pods per plant (0.493**), biological yield (0.457**), seed index (0.425**) and harvest index (0.362**). The path analysis results showed that positive and direct on grain yield was exhibited by harvest index, days to maturity, number of secondary branches per plant, number of pods per plant, biological yield per plant, seed index, days to 50% pod setting and seed index.
Keywords
Chickpea, Genetic variability, GCV, PCV, Correlation analysis and path analysis.References
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