CORRELATION, PATH COEFFICIENT AND REGRESSION ANALYSIS TO DETERMININE THE RELATIVE CONTRIBUTIONS OF SOME AGRONOMIC TRILS WITH GRAI~ YIELD IN TEN MAIZE (Zea Mays, L) GENOTYPES

Document Type : Original Article

Authors

1 Cent. Lab. for Design and Statistical Analysis. A. R. C., Giza, Egypt.

2 Field Crops Res.lnst., Agric.Res.Cent., Giza ,Egypt.

Abstract

This investigation was carried out at Mazora(West Elfashen) Agriculture
Res.st. ,Beni-Swef Governorate during 2002 and 2003 growing seasons the aime of
this investigation estimate the relative contributions of some agronomic traits ten
maize single crosses; SClO, 120, 122, 123, 124, 129, Watania 4, Bashaier, SC155
and SC161. These hxbrids were evaluated under five planting dates i.e. March io".
March so". April 20t ,May io" and May so" in two seasons. Randomized complete
blocks design with four replications was used. The studied traits in both seasons were
grain yield (ard/fad), days to 50% tasseling, days to 50% silking, plant height, ear
height, number of plants per plot at harvest, ear length and ear diameter.
Correlation, path coefficient and stepwise multiple regression analysis
were calculated for yield and its attributes in each planting date in the two seasons
Results for grain yield showed significant positive correlation coefficient with plant
height, ear height, ears number at harvest and ear length. Furthermore stepwise
multiple regression and path coefficient with respect path analysis results in
indicated that ears number and ear length were contributed by 21.77% and 9.38%
respectively in the first season and by 14.11 % and 7.84% respectively in the second
season as an overages plating date in direct effects. analysis showed that ears
number at harvest and ear length had the highest direct and indirect influences on
yield. which contributed by 19.16% and 7.34% respectively in the first season and by
34.62% and 9.10% respectively In the second season as an average of planting
dates.
It could concluded that ear number and ear length are the important
characters contribution to grain yield