Browsing by Author "Manish Kumar Choudhary"

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Standard heterosis analysis in maize hybrids under water logging condition
(Editorial board of Journal of Experimental Biology and Agricultural Sciences, 2020) Gayatri Kumawat; Jai Prakash Shahi; Munnesh Kumar; Ashok Singamsetti; Manish Kumar Choudhary; Kumari Shikha
Maize is one of the important food and forage crops with abundant natural diversity. Determination of heterosis in CIMMYT maize hybrids under water logging condition is necessary for their commercial exploitation. The synthetics and composites have contributed to maize production in India in the initial stages of maize improvement programme, of late, hybrids are playing a vital role due to their high yielding potential. Breeding of water logging tolerant maize varieties will likely boosts maize production beyond the present level. Data derived from current study were complied to determine standard heterosis and identify high yielding hybrids. Among the tested 55 maize hybrids, the maize hybrids, namely, ZH17506, ZH17496 and VH11128 produced high heterosis which indicating that these hybrids are available for commercial cultivation. Maize hybrids that perform better than the checks could be used for release as hybrid variety after re-evaluation in multi-location trials. © 2020, Editorial board of Journal of Experimental Biology and Agricultural Sciences. All rights reserved.
Studies on genetic parameters, correlation and path coefficient analysis in maize (Zea mays l.) hybrids under waterlogging condition
(Range Management Society of India, 2020) Gayatri Kumawat; Jai Prakash Shahi; Manish Kumar Choudhary
The screening of fifty-five CIMMYT maize hybrids was carried out to estimate the genetic variability, heritability, genetic advance as per cent of mean, correlation and path coefficient analysis of 15 characters contributing to yield per plant under excess soil moisture condition at Banaras Hindu University, Varanasi. The experiment was conducted in an alpha lattice design with two replications, and phenotypic data were analyzed using fifteen morphological and agronomic traits. Analysis of variance revealed significant differences among the genotypes for plant height, ear height, ears per plot, field weight, number of kernel rows per ear and number of kernels per row. Higher genotypic and phenotypic coefficients of variation observed in several surface roots followed by ear height and field weight suggested that selection can be effective for these traits. High heritability, coupled with high genetic advance noticed for ear height, and plant height indicated additive gene effects. Hence, simple selection could be useful for further improvement in these characters. Correlation analysis showed that yield per plant exhibited highest and positive significant correlation with the number of kernels per row followed by field weight, ear length, number of kernel rows per ear, plant height, ear per plant and ear height. Path coefficient analysis revealed that the highest positive direct effects on yield per plant were exhibited by field weight followed by the number of kernels per row, number of kernel rows per ear, ear length and number of nodes bearing brace roots. If the selection for waterlogging tolerant genotype is made for any of these components, the improvement in yield per plant could be achieved. © 2020, Range Management Society of India. All rights reserved.