Estimation of genetic variability in wheat (Triticumaestivum L.)

Abstract

The present investigation was carried out with the objective to estimate genetic variability involving 65 genotypes (fifteen parents and fifty F1s crosses) grown in a randomized block design with three replications at crop research farm Nawabganj. The analysis of variance revealed the significant differences among the treatments forseven characters out of eight characters indicating considerable variability among the genotypes fordays to flowering (75%), plant height (cm), number of productive tillers/plant, flag leaf area (cm) 2 , spike length (cm), number of spikelets/spike and grain yield/plant (gm). Variability also reflected based on mean, range, phenotypic coefficient of variation and genotypic coefficient of variation therefore selection of the parents under study based on morphological differences for different characters was validated through ANOVA and other parameters. The range varied from days to maturity (112.00-120.33) for parents anddays to maturity (112.00 to 119.66) for F1and maximum phenotypic coefficient of variation (PCV) of traits days to maturity (112.00 to 119.66) for parents were generally higher than genotypic coefficients of variance (GCV)36.72 (Grain yield/plant) indicating the presence of enough genetic variability in the material under study.

Real Time Nitrogen Management Through Leaf Colour Chart and Chlorophyll Meter in Wheat (Triticum Aestivum L.) Of Jammu

“…The higher net returns due to leaf color chart based nitrogen application resulted in improvement in crop yield (Table 2). These results are in close conformity with the findings of Kumar et al (2017). However, maximum B:C ratio was recorded with sufficiency index based nitrogen application which was closely followed by nitrogen application based on leaf color chart ≤ 4 and leaf color chart ≤ 5.…”

Site-Specific Fertilizer Management through Nutrient Expert: Productivity, Profitability and Efficiency of Wheat

“…The highest harvest index of 0.46 was recorded in LCC-N recommended doses of nutrient followed by and Nutrient Expert-N. Nitrogen omission had the lowest harvest index (0.38) due to differences in proportion of grain yield and biomass production. Findings of Kumar et al (2017) and Sen et al (2011) are in accordance with our result. An increase in the harvest index is the result of an increase in grain yield and biomass yield, both of which are significantly influenced by nitrogen application.…”