Abstract

This study aimed to estimate the genetic variability of 36 upland rice genotypes for yield and its components, and determine trait association among morphological traits. The field experiment was conducted using simple lattice design at two locations (Guraferda and Gojeb) during 2016 main cropping season. Analysis of variance for individual locations revealed significant differences (P≤0.05) among genotypes for most of the studied traits at Guraferda, however number of fertile tillers per plant, number of unfilled grains per panicle, non-fertile tillers per plant, panicle length, thousand grain weight and biological yield were found being non-significant. Similarly, the genotypes showed significant difference (P≤0.05) for plant height, number of filled grain per panicle, days to maturity, number of primary branches per panicle and grain yield however the remaining traits were showed non-significant difference among genotypes at Gojeb. Combined analysis of variance over the two locations revealed significant differences (P≤0.05) among the genotypes for most of the studied traits, while genotype x location interactions showed significant differences for the traits, total number of tillers per plant, plant height, days to 50% heading, days to maturity and grain yield. The mean over the two locations showed, wide ranges for number of filled grains per panicle (24-123), days to 50% heading (50-83) and grain yield (15-34 q/ha). The genotypic coefficient of variation ranged from 2.3% for plant height to 19.5% for number of filled grains per panicle, and phenotypic coefficient of variation (PCV) ranged from 4.0% for panicle length to 20.2% for filled grains per panicle. High broad sense heritability (H 2 B) estimates were obtained for number of filled grains per panicle (93.3%) and days to 50% heading (61.6%); while low H 2 B value was found for plant height (20.1%), number of primary branches per panicle (15.1%) and grain yield (14.4%). The estimates of genetic advance as the percentage of the mean (GAM) ranged from 2.1% for plant height to 38.8% for number of filled grains per panicle. High H 2 B coupled with high GAM were obtained for number of filled grains per panicle, which indicates that this trait can be effectively improved through selection. Grain yield showed significant and positive genotypic correlation with 1000-grain weight, days to 50% heading, days to maturity and harvest index. Similarly, it showed significant and positive phenotypic correlation with panicle length, number of filled grains per panicle, 1000-grain weight, fertile tillers per plant and number of primary branches per panicle. Path coefficient analysis at genotypic level revealed high and positive direct effect of days to heading (0.7), 1000-grain weight (0.6), days to maturity (0.3) and harvest index (0.2). The detected positive correlation indicated that, increases in the value of one trait results in increasing the correlated traits. Keywords: Broad sense heritability, Upland rice, Variability, DOI : 10.7176/JBAH/9-3-02

Highlights

  • Rice is one of the most important cereal crops globally with an annual production of 483.3 million metric tons on milled basis, in 2016 (USDA, 2016)

  • According to Yoshida (1981), seasonal climatic variables adversely affect the performance of panicle length to be different even with the same genotypes grown in different locations

  • The significant difference among genotypes for the studied traits at each of the two sites indicates the presence of considerable variability among genotypes

Read more

Summary

Introduction

Rice is one of the most important cereal crops globally with an annual production of 483.3 million metric tons on milled basis, in 2016 (USDA, 2016). In 2015/2016, China, India, and Indonesia are the top three rice-producing countries with 28.4%, 21.2% and 9.6% percentage of the world’s total production (FAO, 2016). In Africa, rice production has reached 26.2 million tons and about 20 million people of the continent depends on rice production for their direct consumption, thereby, more than 40 countries of the continent cultivate and consume rice (Alemu and Assefa, 2016; FAO, 2016). In Africa, rice consumption is replacing maize, teff and cassava, but African production has not met this shift of crop, and Africa imports large quantity of rice (Dugan, 2015)

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call