Variability, correlation and path coefficient analysis in Maize (Zea mays L.) genotypes in Baitadi, Nepal
Journal Title: International Journal of Experimental Research and Review - Year 2016, Vol 6, Issue 5
Abstract
Six maize genotypes were evaluated in three replicated randomized block from July-October, 2015 to assess the association among yield components, correlation and variability. Days to tasseling (DTT), days to silking (DTS), days to pollen shed anthesis (DTPSA), ear height (EH), ear length (EL), ear circumference (EC), silk length (SL), plant height (PH), number of kernels row per ear (NKRPE) and number of kernels per row (NKPR) and grain yield per plant (GYPP) were recorded. The genotypes significantly differed in all traits except EH and GYPP. EH (0.222), SL (0.189), PH (0.304), EC (0.419), NKRPE (0.310) and NKPR (0.399) had positive correlation with grain yield per plant. Similarly, DTT (-0.185), DTS (-0.324) and EL (-0.150) had negative correlation with GYPP. Path coefficient analysis showed that NKRPE (0.752) had highest positive and direct contribution on GYPP followed by DTT (0.385), PH (0.351), NKPR (0.298), SL (0.071) and EL (0.044). DTS (-1.384) had highest direct negative effect on GYPP followed by EH (-0.393) and EC (-0.136). The phenotypic coefficient of variation was higher than genotypic coefficient of variation for all characters; difference of which was high in SL and EH indicating these traits are affected by environment as well. NKRPE, NKPR, DTT, DTS, PH, SL and EL had highest positive direct contribution on grain yield, which are the pre-requisites for attaining improvement in yield of maize genotypes.
Authors and Affiliations
Pratima Pahadi; Manoj Sapkota
A Computation of Frequent Itemset using Matrix Based Apriori Algorithm
The Apriori Algorithm is a traditional method for determining the frequent itemsets from a lot of data. Association rules can be generated based on frequently occurring item sets. The Apriori algorithm has two bottleneck...
Competencies for the academy and market perspective: an approach to the un-sustainable development goals
This research paper's objective is to analyse the adequacy of the skills learned/acquired by a higher education degree in management and suitable skills for the market. Therefore, we have used descriptive research based...
Phishing Detection: A Hybrid Model with Feature Selection and Machine Learning Techniques
Various phishing problems increase in cyber space with the progress of information technology. One of the prominent cyber-attacks rooted in social engineering is known as phishing. This malicious activity aims to deceive...
Trends and Insights in Renewable Energy Selection for Sustainable Development: A Bibliometric Analysis
This study focuses on the critical role of renewable energy selection (RES) in achieving Sustainable Development Goal 7 (SDG 7), which aims to provide universal access to clean energy. Selecting the right renewable energ...
Relationship of State anxiety and trait anxiety between Physical education students and general degree college students
Mental disorders appear to be on the rise among college students and are having a significant effect on their attrition, with anxiety identified as one of the most common presenting issues. Anxiety is a state of tension;...