Phenotypic correlations and path analysis between ear yield and other associated characters in corn hybrids (Zea mays L.)
Journal Title: International Journal of Farming and Allied Sciences - Year 2013, Vol 2, Issue 1
Abstract
Corn ranks third among the cereal crops worldwide after wheat and rice. Corn is produced primarily for animal feed and industrial uses and it is partitioned as follow about 35% for human nutrient requirement, about 65% for animal feed. Several workers have attempted to determine linkage between the characters on which the selection for high yield can be made. Because of that, genetic variability assessment and determination of the best selection criteria were conducted by using 16 dent corn hybrids in the randomized complete block design with four replications. Analysis of variance showed the significant difference among corn hybrids for all the traits except days to physiological maturity and days from silking until physiological maturity. Mean comparison between them revealed hybrids no 15 and16 had high ear and protein yield and days to physiological maturity. Therefore, hybrid 16 had proper genetic potential to introduce as promising variety to sow in normal condition. On the other hand, hybrid 15 recommend for stress prone environments. Correlation analysis showed the significant relationship of majority of the traits with ear yield. Step-wise regression revealed that 79.6% of variation exist in ear yield accounted for by protein yield. Evaluation of direct and indirect effects of protein yield and percentage on ear yield by using path analysis demonstrated the efficiency of selection for high quantity of these traits to improve ear yield in corn hybrids. In conclusion, results showed possibility of ear yield improvement by using protein yield and protein percentage ae well as ear weight as selection criteria. Furthermore, indirect selection for traits such as grain weight and ear weight had positive effects on ear yield enhancement.
Authors and Affiliations
Parisa Jamshidian, Ahmad Reza Golparvar, Mohammad Reza Naderi, Homauon Darkhal
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