Estimation of genetic variability and frequency distribution in F2 generation of rice under normal and deficit water supply

Bassuony, Nessreen N.; Zsembeli, József; Juhász, Csaba; Elshenawy, Mostafa Mamdouh

doi:10.1007/s42976-021-00185-7

Cited by 5 publications

(4 citation statements)

References 27 publications

(30 reference statements)

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“…Concerning panicle weight, it was highly significant and positively correlated with panicle length in the three crosses. This result was in accordance with Bassuony et al (2021). Also, panicle weight negatively highly correlated with plant height in cross 3.…”

Section: Correlation Coefficient Analysissupporting

confidence: 88%

Genetic Analysis to Improve Rice (Oryza sativa L) Grain Yield Attributes and Quality Traits

Nofal,

Bassuony,

Gaballah

2024

Journal of Plant Production

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The investigation was carried out in rice growing seasons of 2020, 2021 and 2022, comprising P1, P2, F1 and F2 for thee crosses Giza 179 × Suweon 361, Giza 177 × Milyang 349, Giza 177 × Sakha super 300 were used to improve grain yield attributes and quality traits. Therefore, the highest grain yield plant -1 resulted with Sakha Super 300 (50.80 g). While F1 of the crosses Giza 177 × Sakha super 300 and Giza 179 × Suweon 361 provided the highest values 55.80 and 55.14 g, respectively, and F2 of the cross (Giza 177 × Sakha super 300) give 50.80 g. The parent Sakha super 300 reported highest milling percentage value 73.06%. While, F1 of Giza 177 × Sakha super 300 displayed the highest value 74.60%. However, F2 of cross (Giza 177 × Milyang349) was noted maximum value 62.83%. The degree of dominance was greater than unity (±1.0) for all the studied traits for the three crosses except panicle length, panicle weight, and fertility percentage for cross 1, panicle length, number of tillers, grain length and head rice for cross 2, and 1000-grain weight, grain length and grain width for cross 3, suggesting the important of over dominance in controlling traits. The first PCA (PC1) was 98.45% of the difference and directionally positive associated with Suweon 361, F1 of cross (Giza 179 × Suweon 361), F1 of cross (Giza 177 × Milyang 349), P2 of cross (Sakha super 300) and F1 of cross (Giza 177 × Sakha super 300).

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Section: Correlation Coefficient Analysissupporting

confidence: 88%

Genetic Analysis to Improve Rice (Oryza sativa L) Grain Yield Attributes and Quality Traits

Nofal,

Bassuony,

Gaballah

2024

Journal of Plant Production

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“…In this research, intersubspecific crossing between japonica and indica was performed, and the consumable product in the F 2 generation tended to show quantitative segregation among all agronomic traits, while transgressive segregation was also found in all agronomic traits. It could be suggested that the epistasis, overdominance and complementary action of additive genes controlled these traits (Mohammadi et al, 2013;Bassuony et al, 2022). In addition, Wang et al (2014) suggested that agronomic traits were controlled by a large number of genes, directly or indirectly affecting the performance of agronomic traits.…”

Section: Discussionmentioning

confidence: 99%

Efficiency of short-grain rice breeding program between pedigree and single seed descent methods for yield, biotic resistance and cooking quality derived from indica × japonica

2023

ANRES

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Importance of the work: Japanese food is popular in tropical countries; however, high-yielding and good-quality temperate japonica rice supplies are limited in tropical climates. Objectives: To compare two breeding methods: pedigree and single seed descent applied for a short-grain rice (japonica-like) breeding program. Materials & Methods: A temperate japonica rice (Koshihikari) and a tropical indica fragrant rice (Pathumthani1) were used as parents. The pedigree and single seed descent methods were used to select breeding lines from F 2 to F 5 . Preliminary yield trials and yield traits of selected breeding lines were investigated in F 5 to F 7 . Results: From the preliminary trial, based on short-grain, plant type and grain yield criteria, two breeding lines (PS171-31-10 from the pedigree method and SSD125-7 from the single seed descent method) were selected in which genetic markers for bacterial leaf blight resistance (Xa21) and blast resistance (Pi-ta) were detected. In the yield trial experiments, the mean grain yields of PS171-31-10 (5.07±3.46 t/ha) and SSD125-7 (4.43±3.00 t/ha) were higher than those of the japonica parent (4.30±1.99 t/ha) but lower than those of the indica parent (5.80±1.17 t/ha). In addition, the highest overall scores of sensory tests were for Ps-171-31-10 (37.58 overall score), the second highest was for SSD-125-7 (35.37 overall score), while Koshihikari had the third highest sensory score. The physical and chemical properties of the milled grain from the two lines were consistent with standard japonica rice. In addition, the badh2 gene was detected in SSD125-7, which is identified as a japonica fragrant rice variety. Main finding: The pedigree and single seed descent methods created new short-grain varieties with comparable performance: adaptability to tropical environments, production of satisfactory grain yields and good cooking quality, similar to that of japonica rice.

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“…The kurtosis is peakness of the distribution curve. A distribution with positive kurtosis (excess) is called leptokurtic and negative kurtosis is called platykurtic which means the trait is controlled by large and fewer number of genes, respectively (Bassuony et al, 2022). The kurtosis value (Table 1; cross II were significant positive with leptokurtic nature (Table 1; Fig 2) which implies that fewer number of genes co ntro llin g th em .…”

Section: Skewness and Kurtosismentioning

confidence: 99%

“…This kind of positive skewness in the population indicates the presence of dominant and complementary gene interaction. The genetic gain for these traits could be rapidly increased through intensive selection from the higher tail end of the distribution curve(Snape and Riggs, 1975;Bassuony et al, 2022). Similar findings of positive skewness were reported byVadivel et al (2019) for number of clusters per plant and seed yield per plant in blackgram, Devi et al (2021) for hundred seed weight and seed yield per plant in RIL population of blackgram, Harshita et al (2020) for number of branches per plant and number of pods per plant and Hema et al (2022) for number of branches per plant and seed yield per plant in interspecific lines of greengram.…”

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confidence: 99%

Genetic Analysis of F2 Populations for Quantitative Traits in Blackgram [Vigna mungo (L.) Hepper]

Surendhar,

Jayamani,

Iyanar

et al. 2023

ASD

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Background: Blackgram is an important pulse crop grown in India. The creation of new variability through hybridization or mutation breeding will produce novel segregants for important yield attributing traits. The selection from the population will be effective if the traits have good genetic variability estimates. Methods: The present investigation was conducted on analysing genetic variability parameters in F2 populations of the blackgram crosses CO 5 × VBN 9 and CO 6 × VBN 11 which were evaluated during rabi, 2022. Results: Based on the coefficient of variations, it was found that sufficient amount of genetic variability and high to moderate heritability with high genetic advance were present in the populations for the traits viz., plant height, number of branches per plant, number of clusters per plant, number of pods per cluster, number of pods per plant and seed yield per plant indicates the presence of additive gene action which can be improved by simple selection in the earlier generations. The positive skewness was observed for the traits viz., number of branches per plant, number of pods per cluster, number of pods per plant, hundred seed weight and seed yield per plant in F2 population of CO 5 × VBN 9 and number of clusters per plant, number of pods per cluster, number of pods per plant and seed yield per plant in the F2 population of CO 6 × VBN 11. The above traits could be improved by intensive selection for rapid improvement. The leptokurtic nature of the distribution for the trait hundred seed weight in CO 5 × VBN 9 population and the traits viz., number of clusters per plant, number of pods per plant, pod length, number of seeds per pod and seed yield per plant in CO 6 × VBN 11 population indicates these traits are controlled by few minor genes. Hence, the good segregants could be selected from these two populations for yield improvement.

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Estimation of genetic variability and frequency distribution in F2 generation of rice under normal and deficit water supply

Cited by 5 publications

References 27 publications

Genetic Analysis to Improve Rice (Oryza sativa L) Grain Yield Attributes and Quality Traits

Genetic Analysis to Improve Rice (Oryza sativa L) Grain Yield Attributes and Quality Traits

Efficiency of short-grain rice breeding program between pedigree and single seed descent methods for yield, biotic resistance and cooking quality derived from indica × japonica

Genetic Analysis of F2 Populations for Quantitative Traits in Blackgram [Vigna mungo (L.) Hepper]

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