Abstract:Bacterial blight disease of rice caused by Xanthomonas oryzae pv. oryzae is one of the most important widespread disease around the globe and can cause severe yield reductions of up to 30% of the total yield. Genetic variability was studied in 54 families of CB 174 R × IRBB 60 rice with bacterial blight resistance genes introgressed at the Department of Rice, Tamil Nadu Agricultural University, Coimbatore, India. Traits such as plant height and the number of productive tillers per plant were found to have nega… Show more
“…Heritability estimates for different traits ranged from 21 per cent to 84.2 per cent, while as genetic advance as per cent of mean ranged from 5.31 per cent to 39.52 per cent. Govintharaj et al, [10]; Adhikhari et al, [11] and Dhavaleshvar et al, [12] also found similar results in their research findings. Traits viz., total number of tillers per plant, number of effective (productive) tillers per plant, grain yield per plant and grain yield per plot were found to have high genetic advance (GAM) coupled with high heritability implying that these traits have been efficiently inherited from generation to generation.…”
Aim: Present study endeavors to explore the genetic variability for various agro-morphological and quality traits as well as to delineate the association between grain yield and its yield attributing components
Study Design: Randomized Complete Block Design
Place and Duration of Study: Division of Plant Breeding and Genetics, She-e-Kashmir University of Agricultural Sciences and Technology of Jammu during kharif 2020.
Methodology: A experiment was carried out to determine the association between grain yield and yield attributing components among advanced breeding lines of rice to establish a well grounded selection criteria for developing rice varieties with improved grain yield. Phenotypic coefficient of variation (PCV) was found to be relatively greater than the genotypic coefficient of variation (GCV) for most of traits indicating role of environment in the phenotypic expression of traits. Characters viz., plant height, total number of tillers per plant, number of effective tillers per plant, panicle length and grain yield per plant exhibited high heritability coupled with high genetic advance indicating their efficient inheritance from preceding generations.
Results: Association studies indicated that characters viz., Plant height, total number of tillers per plant, number of effective tillers per plant, panicle length, 1000 grain weight and grain yield per plant had a significant positive relationship with grain yield per plot indicating their role in breeding rice varieties for higher grain yield.
Conclusion: Cause and effect relationship revealed that traits viz., days to 50 per cent flowering, total number of tillers per plant, days to maturity, panicle length and grain yield per plant can be exploited for indirect selection for improving grain yield.
“…Heritability estimates for different traits ranged from 21 per cent to 84.2 per cent, while as genetic advance as per cent of mean ranged from 5.31 per cent to 39.52 per cent. Govintharaj et al, [10]; Adhikhari et al, [11] and Dhavaleshvar et al, [12] also found similar results in their research findings. Traits viz., total number of tillers per plant, number of effective (productive) tillers per plant, grain yield per plant and grain yield per plot were found to have high genetic advance (GAM) coupled with high heritability implying that these traits have been efficiently inherited from generation to generation.…”
Aim: Present study endeavors to explore the genetic variability for various agro-morphological and quality traits as well as to delineate the association between grain yield and its yield attributing components
Study Design: Randomized Complete Block Design
Place and Duration of Study: Division of Plant Breeding and Genetics, She-e-Kashmir University of Agricultural Sciences and Technology of Jammu during kharif 2020.
Methodology: A experiment was carried out to determine the association between grain yield and yield attributing components among advanced breeding lines of rice to establish a well grounded selection criteria for developing rice varieties with improved grain yield. Phenotypic coefficient of variation (PCV) was found to be relatively greater than the genotypic coefficient of variation (GCV) for most of traits indicating role of environment in the phenotypic expression of traits. Characters viz., plant height, total number of tillers per plant, number of effective tillers per plant, panicle length and grain yield per plant exhibited high heritability coupled with high genetic advance indicating their efficient inheritance from preceding generations.
Results: Association studies indicated that characters viz., Plant height, total number of tillers per plant, number of effective tillers per plant, panicle length, 1000 grain weight and grain yield per plant had a significant positive relationship with grain yield per plot indicating their role in breeding rice varieties for higher grain yield.
Conclusion: Cause and effect relationship revealed that traits viz., days to 50 per cent flowering, total number of tillers per plant, days to maturity, panicle length and grain yield per plant can be exploited for indirect selection for improving grain yield.
“…In accord with our findings, grain yield was reported for a higher phenotypic and genotypic coefficient of variation by several researchers. These researchers also find phenotypic components higher over genotypic components of variation in the studied traits (Abebe, Alamerew, & Tulu, 2017;Adhikari, Joshi, Shrestha, & Bhatta, 2018;Govintharaj, Manonmani, & Robin, 2018;Kishore, Srinivas, Nagabhushanam, Pallavi, & Sameera, 2015;Tiwari, Tripathi, Tripathi, Khatri, & Bastola, 2019). Broad sense heritability values were recorded highest for DTF (97.40%), DTM (91.78%), PHT (86.62%), HI (87.17%), and TGW (71.06%) whereas found moderate for PL (63.22%), BY (47.45%), and GY (64.26%) respectively.…”
The present study was performed in a randomized complete block design with three replications to identify higher yielding genotypes and putative traits for grain yield improvement under a rainfed environment. Genotypes recorded highly significant variation for most of the observed agro-morphological traits except the number of effective tillers/m2. IR102774-31-21-2-4-7 (5.40 t/ha) followed by IR99739: 2-1-1-2-1 (5.22 t/ha), and IR103587-23-2-1-B (5.05 t/ha) respectively were the higher grain yielders. These high yielders were among the sets of early flowering (85-96 days) and maturing (120-130 days) genotypes. Plant height (PHT-86.62% and 25.69%), harvest index (HI-87.17% and 44.66%), and thousand-grain weight (TGW-71.06% and 30.05%) recorded high heritability values coupled with higher genetic advance as a percentage of the mean (GAM). IR102774-31-21-2-4-7 produced superior agro-morphological character for several traits like grain yield, thousand-grain weight, biological yield, plant height, and days to flowering and maturity. Plant height, biological yield, harvest index, days to flowering, and maturity were highly associated with grain yield and had medium to high heritability and GAM values. Therefore, these traits might be of importance for selection in grain yield improvement of rice under rainfed lowland conditions.
“…The study of distribution using skewness and kurtosis provides information about the nature of gene action and the number of genes controlling the traits (Govintharaj et al 2018). Positive skewness is associated with complementary gene action, while negative skewness is associated with duplicate (additive × additive) gene interactions.…”
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