Phenotypic characterization of rice genotypes (Oryza sativa L.)

The study was conducted to examine the phenotypic characteristics of rice (Oryza sativa L.) and to study their variability. The experiment was carried out in a randomized block system with 53 rice genotypes in three replications, with a plot size of 3 m2 during the 2022 vegetative year. From each genotype, 10 plants were randomly selected, and 9 phenotypic traits were examined for each of them. The influence of genotypes is highly significant for all analysed traits: plant height, stem height, panicle length, panicle weight, the number of filled grains in a panicle, the number of unfilled grains in a panicle, the weight of filled grains, the weight of unfiled grains, and the number of primary branches per panicle. The obtained results were statistically analysed by ANOVA and were tested with the LSD test, with a probability of 0.001. GN-104 showed the highest value for the panicle length (20.25 cm), the highest total number of grains (131), as well as the highest number of filled grains (106.7). GN-119 had maximum values for the panicle weight (3.79 g) and the number of filled grains (3.43), along with GN-102 (3.49). GN-152 had above average values for all positive traits but belongs to tall genotypes. GN-153 had the lowest weight per panicle (1.29 g), the lowest number of filled grains per panicle (40.47), and the lowest weight of filled grains (1.10 g), while GN-103 had the lowest number of unfilled grains per panicle. Also, the obtained results have shown that there is phenotypic variation among genotypes for these traits. This wide phenotypic variation can be used in rice breeding programs, i.e., crossing genotypes with desired traits.

Authors

Publication Details

Journal
Агрознање
Published
2025-03-05
DOI
https://doi.org/10.7251/agren2501047m
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phenotypic characterization of rice genotypes (Oryza sativa L.)

Dobre Аndov, Mirjana Jankulovska, Danica Andreevska, Ivo Mitrushev et al.
Агрознање
Rice Cultivation and Yield Improvement
article

Phenotypic characterization of rice genotypes (Oryza sativa L.)

Dobre Аndov, Mirjana Jankulovska, Danica Andreevska, Ivo Mitrushev, Brankica Spaseva
article en

Abstract

The study was conducted to examine the phenotypic characteristics of rice (Oryza sativa L.) and to study their variability. The experiment was carried out in a randomized block system with 53 rice genotypes in three replications, with a plot size of 3 m2 during the 2022 vegetative year. From each genotype, 10 plants were randomly selected, and 9 phenotypic traits were examined for each of them. The influence of genotypes is highly significant for all analysed traits: plant height, stem height, panicle length, panicle weight, the number of filled grains in a panicle, the number of unfilled grains in a panicle, the weight of filled grains, the weight of unfiled grains, and the number of primary branches per panicle. The obtained results were statistically analysed by ANOVA and were tested with the LSD test, with a probability of 0.001. GN-104 showed the highest value for the panicle length (20.25 cm), the highest total number of grains (131), as well as the highest number of filled grains (106.7). GN-119 had maximum values for the panicle weight (3.79 g) and the number of filled grains (3.43), along with GN-102 (3.49). GN-152 had above average values for all positive traits but belongs to tall genotypes. GN-153 had the lowest weight per panicle (1.29 g), the lowest number of filled grains per panicle (40.47), and the lowest weight of filled grains (1.10 g), while GN-103 had the lowest number of unfilled grains per panicle. Also, the obtained results have shown that there is phenotypic variation among genotypes for these traits. This wide phenotypic variation can be used in rice breeding programs, i.e., crossing genotypes with desired traits.

АгрознањеVol. 26(1)
Openalex Percentile: Top 95%
Rice Cultivation and Yield Improvement
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Phenotypic characterization of rice genotypes (Oryza sativa L.) — Dobre Аndov, Mirjana Jankulovska, et al. · Агрознање (2025) | TGRS Research Map | TGRS