Genetic Variability, Character Association, and Path Coefficient Analysis in Transplant Aman Rice Genotypes

Abstract

A field experiment was carried out with 20 genotypes of Transplant Aman (T. Aman) rice at the Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur-1706, Bangladesh. The study was performed to evaluate the genetic deviation, trait association, and path coefficient (PC) based on grain yield (GY) and different yield-contributing agronomic characters. Variance analysis displayed extensive traits-wise variations across accessions, indicating variability and the opportunity for genetic selection for desirable traits. The high mean, range, and genotypic variances observed for most of the characters indicated a wide range of variation for these traits. All the characters indicated the minimum influence of environment on the expression of the trait and genetic factors had a significant role in the expressivity of these characters. High heritability in broad sense (h2b) and high to moderate genetic advance in percent of the mean (GAPM) were recorded for all the characters except for panicle length (PL). Based on mean, range, and all genetic parameters, the selection of all the traits except for PL would contribute to the development of T. Aman rice genotypes. A correlation study revealed that selection based on plant height (PH), number of effective tillers per hill (NET), PL, number of filled spikelets per panicle (NFS), flag leaf length (FLL), spikelet sterility (SS) percentage, and harvest index (HI) would be effective for increasing the GY of rice. Genotypic correction with grain yield (GCGY), PC and principal component analysis (PCA) revealed that direct selection of NFS, HI, SS%, and FLL would be effective for improving the GY of rice in future breeding programs.

Genetic Studies for Selected Agronomic Traits in 19 Maintainer Genotypes of Rice (Oryza sativa L.)

“…This suggests the existence of genetic variability in 19 maintainer genotypes and indicates genetic improvement of studied traits is possible. This result follows previous studies [20][21][22][23][24]. Estimating genetic parameters is essential to understand the genetic basis of plant characteristics.…”

Genetic Analyses of Mungbean [Vigna radiata (L.) Wilczek] Breeding Traits for Selecting Superior Genotype(s) Using Multivariate and Multi-Traits Indexing Approaches

“…The estimated high CV observed in our research shows the large size of heterogeneity confirmed by Tripathi et al [ 38 ] and Win et al [ 44 ]. The variability of flowering time was repeated by Kanavi et al [ 33 ] from 33 to 53 days, and Win et al [ 34 ] from 31 to 75 days. In our investigation, the genotypes revealed earlier flowering lines, with early flowering assuring early maturity.…”

Correlation and Path Analysis of Association among Yield, Micronutrients, and Protein Content in Rice Accessions Grown Under Aerobic Condition from Karnataka, India

“…Therefore, the selection of such characters will indirectly enhance the grain yield. The associations between yield and other traits including the number of effective tillers per hill, plant height, flag leaf length, spikelet sterility percentage, number of filled spikelets per panicle, and harvest index were also revealed by Faysal et al (2022). These traits would be efficient for enhancing the yield, and the yield of rice in future breeding programs would be increased.…”