Correlation and Path Analysis in Elite Maize (Zea mays L.) Lines

Abstract

Aim: To study the association between characters through correlation and path analysis for 30 elite maize lines
 Study Design: Randomized Block Design with three replications.
 Place and Duration of Study: The experiment was conducted at Seed Research and Technology Centre Rabi 2020-21.
 Methodology: Character association studies will help to assess the relationship between the yield and its contributing traits for enhancing efficiency selection. Because of this, the present research work was carried out to assess the correlation coefficient and path analysis among thirty maize inbred lines for eighteen yield, yield contributing characters and seedling vigour traits in maize (Zea mays L.).
 Results: Correlation studies revealed that plant height (0.3566**), ear height (0.2135**), ear length (0.3505**), ear diameter (0.4973**), number of kernel rows (0.3471**), 100-seed weight (0.5359**), cob yield per plant (0.9883**) and seed vigour index-2 (0.3412**) were significant and positively correlated with the grain yield per plant. Path analysis showed that cob yield per plant had the highest positive direct effect on grain yield per plant followed by shelling percentage (0.0094), seed vigour index -1 (0.0131), seed vigour index-2 (0.0125), 100 seed weight (0.0122), days to tasseling (0.0108), germination first count (0.0094), speed of germination (0.0060), number of kernels per row (0.0058), ear diameter (0.0057) suggesting that grain yield could be indirectly enhanced by the selection of these characters.

Selection of Tropical Inbred Lines for Yield and Morpho-agronomical Traits in Maize (Zea mays L.)

“…These traits can be improved through simultaneous selection of other traits. The results were in agreement with the findings of Reddy, V.R et al, [20], Rajwade, J.K et al, [21], Verma, V et al, [22] and Pranay et al, [23] for the traits days to 50% tasseling, days to 50% silking, no.of kernels per row, no.of rows per cob, plant height, ear height and test weight.…”

The selection index of S3 corn convergent breeding population based on multivariate analysis

“…Determining character as a selection criterion can be seen based on the correlation between the main character and supporting characters, as well as the magnitude of the direct influence of the supporting character on the main character, which can be done through correlation and path analysis (Khapte and Jansirani 2014;Mustafa et al 2019;Akbar et al 2021). The use of correlation analysis and path analysis has been widely carried out on various types of plants, such as Maize (Pavlov et al 2015;Amas et al 2021;Magar et al 2021;Pranay et al 2022), tomatoes (Singh et al 2018;Maurya et al 2020;Nevani and Sridevi 2021;Fadhilah et al 2022;Tsagaye et al 2022;Panchbhai and Kulkarni 2023), and chilies (Luitel et al 2013;Amas et al 2023).…”

Comprehensive Regulation of Water–Nitrogen Coupling in Hybrid Seed Maize in the Hexi Oasis Irrigation Area Based on the Synergy of Multiple Indicators

“…The number of seeds that germinated normally was counted every day. After 7 days, seedlings were taken out, the germination percentage was determined, the fresh weight of individual seedlings was obtained, and the germination index and vigour index were calculated [34].…”