Genetics of Quality and Yield Traits using Aromatic and Non Aromatic Genotypes through Generation Mean Analysis in Rice (Oryza sativa L.)

Krishna, L.; Raju, C. S.; Kumar, Sarvendra; Bhadru, J.; Mohan, Y. Chandra

doi:10.20546/ijcmas.2018.701.347

Cited by 3 publications

(5 citation statements)

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“…Number of seed per panicle and 100-grain weight are positively correlated with yield per plant traits (Sharma and Jaiswal, 2020) and these traits were controlled by h and l type of epistasis (Table 5). Similar findings have been recorded by Krishna et al (2018), andBano et al (2017) in aromatic rice.…”

Section: Resultssupporting

confidence: 91%

“…Hasib et al. (2002) recorded additive and dominance gene action andKrishna et al (2018) observed all type of gene interaction in their studies. Panicles per plant directly contribute to the increase in yield, this trait showed d, h, i and l type of epistasis.…”

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confidence: 99%

“…Similar findings have been recorded byRamli et al (2016),Sravan and Jaiswal (2017a) andKour et al (2019) in aromatic rice crop.Detection of epistasis by applying scaling tests : Presence of epistasis was examined by following simple and Joint scaling tests for the inheritance of 15 traits studied in the experiment Sravan and Jaiswal (2017a),. andKrishna et al (2018) have also employed both scaling tests to discern the presence of epistasis in inheritance of different traits. In the present study, backcross population…”

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confidence: 99%

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Generation mean analysis for yield and quality traits in basmati rice (Oryza sativa L.)

2024

EJPB

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The present study explicates the genetics of 15 (eight yield traits and seven quality traits) basmati traits by employing generation mean analysis in six crosses of basmati rice crosses. Generation mean analysis is a biometrical tool which not only can identify presence of epistasis but also explain its types and role in inheritance of traits. Simple and Joint scaling test indicated role of epistasis in inheritance all the six crosses except for alkali spread value in the cross HUBR10-9 x PuB-1509, which showed dominance gene action. 90 individual tests each of simple and joint scaling tests divulged role of one or the other type of epistasis in inheritance of different traits in all the six crosses except for alkali spread value in cross HUBR10-9 x PuB-1509, which showed dominance gene action. Complementary digenic interaction were observed for yield per plant trait; however, other traits showed equal importance of complementary and duplicate digenic interaction in inheritance of different traits examined in the present study. Most of the traits were governed by epistatic gene action which suggested that traits of such population can be improved when the selection process is delayed. However, selection can be practiced at early stage of breeding program in such traits which were governed by additive gene action.

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confidence: 91%

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Generation mean analysis for yield and quality traits in basmati rice (Oryza sativa L.)

2024

EJPB

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“…Examples of epistatic effects are fur color in animals, Bombain phenotype in ABO blood group in humans, crest phenotype in chicken (Carlborg and Haley, 2004). Examples in plant breeding include the finding of Krishna et al (2018). The authors p. 57 found out statistical significance for epistatic effects in the study of traits related to quality of rice.…”

Section: Introductionmentioning

confidence: 99%

Detecting Epistatic Effects Under a Qualitative Context: Importance and Quantification

Santos¹,

Ribeiro²,

Almeida³

et al. 2022

FPBJ

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The objectives of this work were to simulate and quantify epistatic effects on oligogenic traits and to verify the efficiency of Artificial Neural Networks (ANN) and Ridge Regression Best Linear Unbiased Predictor (RRBLUP) in the prediction of genetic values of oligogenic traits controlled by epistatic genes. We simulated 10 F2 populations in Hardy-Weinberg equilibrium with 800 individuals, each. The individuals were genotyped with 105 codominant markers equidistantly distributed along 10 chromosomes. Genotypic values were simulated for each individual considering five oligogenic traits controlled by two biallelic loci, according to five different epistatic models: duplicate recessive genes, dominant and recessive interaction, duplicate dominant genes, recessive epistasis, and dominant epistasis. RRBLUP, as well as an ANN, were used to perform genomic selection. The coefficient of determination of the regression model revealed a mean epistatic effect ranging from 13.3% in the duplicate recessive genes to 62.5% in the duplicate dominant genes. The identification of epistatic genes was superior in the ANN model compared with the RRBLUP approach. Our result reinforces the potential of ANN in predicting genetic values in situations where other than linear or quadratic relationships are present. The results presented in this work offer important insights about the exploration of epistasis in the qualitative context. In situations where epistatic effects are completely ignored, they can play a role on genetic values, as seen for the duplicative dominant genes.

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“…Therefore, rice grains with these qualities can be defined as premium quality grain. Several authors (Krishna et al, 2018 andLouis et al, 2005) mentioned that the consumers' demand has significantly increased for quality grain aromatic rice. Therefore, research regarding aromatic rice development increases in different rice-growing countries to fulfill the consumers' demand.…”

Section: Introductionmentioning

confidence: 99%

Screening of Advanced Aromatic Rice Lines Using Morphological and Physico-Chemical Characteristics

Paul¹,

Biswas

Islam

et al. 2020

Bangladesh Agron. J.

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Short-statured and lodging resistant rice plants with long to medium slender grain are the expected criteria for aromatic rice. However, most of the aromatic rice varieties in Bangladesh do not meet the expected criteria. Therefore, this study was undertaken to detect short-statured rice plants with aromatic and long to medium slender grain where twelve advanced rice lines (derived from the local rice germplasm) with a local check Kataribhog were evaluated. All the genotypes demonstrated significant variation for different parameters such as plant height at harvest, yield per hectare, grain length, grain size, grain shape, and aroma. At harvest, the shortest plant height was obtained from SAU ADL11 (107.09cm), and it was statistically similar to SAU ADL4 (111.68cm) and SAU ADL5 (111.89cm). However, the plant height of check variety Kataribhog was 167.17cm. The highest grain yield per hectare was found in SAU ADL5 (4.79 tha-1), where it was 2.71 tha-1 in Kataribhog. Besides, the grain yield of shorter genotypes SAU ADL4 and SAU ADL11 was 3.47 t ha-1 and 3.84 t ha-1 , respectively. The SAU ADL1 provided the highest kernel length (7.31mm), and the lowest kernel length (4.87 mm) was recorded in the check. Kernel length of short-statured genotypes ranged from 7.01 mm to 6.57 mm. Kernel size of all evaluated genotypes was long to medium; whereas, it was short for Kataribhog. Kernel shape of these short-statured genotypes was slender to medium. In case of aroma, SAU ADL3, SAU ADL5, SAU ADL7, SAU ADL9, SAU ADL10, and SAU ADL11 were moderately aromatic, and other genotypes were non-aromatic. However, Kataribhog was strongly aromatic. Finally, SAU ADL5 and SAU ADL11 were evaluated as important germplasms in respect of different characters such as shortstatured plant, long to medium slender grain, and aroma. These two lines could be potential inbreed aromatic rice genotypes for Bangladesh. Bangladesh Agron. J. 2019, 22(2): 91-102

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Genetics of Quality and Yield Traits using Aromatic and Non Aromatic Genotypes through Generation Mean Analysis in Rice (Oryza sativa L.)

Cited by 3 publications

References 2 publications

Generation mean analysis for yield and quality traits in basmati rice (Oryza sativa L.)

Generation mean analysis for yield and quality traits in basmati rice (Oryza sativa L.)

Detecting Epistatic Effects Under a Qualitative Context: Importance and Quantification

Screening of Advanced Aromatic Rice Lines Using Morphological and Physico-Chemical Characteristics

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