Evaluation of Exotic Rice Varieties for Genetic Parameters in a Nigerian Agro-Ecology

Osekita, O. S.; Akinyele, B. O.; Odiyi, A. C.

doi:10.9734/ijpss/2015/12828

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…Highest flag leaf area will increase the photosynthetic rate then yield production. These results were confirmed by Osekita et al, (2015) and Wei et al, (2020). Regarding leaf angle ( o ), the results showed that, highly significant among studied rice genotypes.…”

Section: Mean Performancesupporting

confidence: 65%

Adaptation and Selection Early and High Yielding Production of Some Exotic Rice Genotyps Under Egyption Conditions

El-Badawy,

Soltan,

Bleih

et al. 2024

EBSS

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IGHTEEN introduced rice genotypes along with two local cultivars were evaluated in two successive seasons of 2020 and 2021 at the Experimental Farm of Sakha Agricultural Research station, Sakha, Kafr El-Sheikh, Egypt for grain yield and associated agronomic characters. Analysis of variance showed very highly significant differences among rice genotypes for all growth parameters assessed. Grain yield for most of studied rice genotypes was higher than check cultivars and AFR0280, AFR278-2-2 and AFR278-8 which had an average yield of 14.26, 14.03 and 14.00 (t/ha), respectively under both seasons. Genotypic variance was observed greater than environmental variance. The phenotypic coefficient of variation (PCV) was close to the genotypic coefficient variation (GCV), this indicating the influence of genetic factors on the expression of the characters studied. High broad-sense heritability (>85%) observed for all studied characters, this suggests that these traits are inherited by additive gene action and can be enhanced through direct selection. Grain yield was positively and strongly correlated with plant height, leaf (length and width), leaf area, panicle length, primary branches, panicle weight, spikelet per panicle and filled grains per panicle. The dendogram obtained from the cluster analysis divided the twenty rice genotypes into four clusters according to yield and its component traits. Hence it is suggested that, these characters could be used as a phenotypic marker for selecting the desirable genotype in the rice breeding programme.

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Section: Mean Performancesupporting

confidence: 65%

Adaptation and Selection Early and High Yielding Production of Some Exotic Rice Genotyps Under Egyption Conditions

El-Badawy,

Soltan,

Bleih

et al. 2024

EBSS

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“…The Food and Agricultural organization of the United Nations (FAO) forecasts that the global food production will need to increase by 70% if the population reaches 9.1bn by 2050 [4]. Rice being a major crop in the world, plays an important role and increase in the production of rice depends on the development of improved varieties with better productivity and adaptability, which largely depends on the existence of sufficient genetic diversity in rice germplasm [5].…”

Section: Introductionmentioning

confidence: 99%

Morpho-Molecular Diversity Analysis of Local Rice (Oryza sativa L.) Genotypes Using Microsatellite Markers

Singh

Korada

et al. 2020

CJAST

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Aim: The knowledge of genetic diversity and relationship among the genotypes play a significant role for genetic enhancement in breeding programmes to increase production, improve quality, biotic and abiotic stresses, and also for the selection of superior parental lines in rice. The present field experiment was conducted to study the diversity present in 29 local genotypes of rice using both morphological and molecular ways. Methodology: The experiment was conducted at Agricultural Research Farm, Banaras Hindu University, during Kharif-2017 in an augmented block design with 29 rice genotypes including 3 checks. Mahalanobis’ D2 analysis was carried out to assess the morphological diversity present among the genotypes and molecular analysis was done with 21 polymorphic SSR markers using the NTSYSpc software. Results: Mahalanobis’ D2 grouped the 29 genotypes into 6 clusters based on the inter-se genetic distance. The highest intra-cluster distance was recorded in the Cluster I (32.73), which comprised of 7 genotypes. The highest inter-cluster distance (65.86) was observed between Clusters IV and V. Molecular diversity analysis grouped the 29 rice genotypes into 2 main clusters i.e. cluster I and cluster II with dissimilarity coefficient of 0.34, which were further divided into sub-clusters. Polymorphic Information Content (PIC) value is an evidence of diversity and frequency among the varieties. The level of polymorphism varied from 0.164 to 0.694, with an average 0.521. The highest PIC value was observed for locus RM 5 (0.694) followed by RM 510 (0.692). All the 21 primers showed polymorphism and the number of alleles ranged from 2 to 4 with an average of 3.04. Conclusion: This study established the presence of considerable amount of genetic diversity among the genotypes studied, the most diverse genotypes being Anupam gold and HUR-1309 followed by Kalanamak-2 and HUR-1304. Breeders may attempt hybridization among the above genotypes which showed maximum diversity, for creating more variability in rice and can be used for planning further breeding programmes.

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“…Rice is a key crop in the world, and its production is dependent on the development of superior varieties with greater productivity and adaptability, which is largely dependent on the presence of sufficient genetic variation in rice germplasm (Osekita et al, 2015). This is normally performed through hybridization following that in segregating populations in selecting plants with favorable qualities (Becerra et al, 2017)Chile, has a rice (Oryza sativa L.. Rice accessions include a large number of beneficial genes that rice breeders can employ to improve the crop and genetic heterogeneity exists among rice accessions allowing for a wide range of agricultural improvements.…”

Section: Introductionmentioning

confidence: 99%

Molecular diversity of rice (Oryza sativa L.) genotypes in Malaysia based on SSR markers

Anisuzzaman

Islam

Khatun

et al. 2022

AAS

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<p class="042abstractstekst"><span lang="EN-US">Rice crop improvement is determined by the degree of genetic variability and the heritability of favorable genes. A total of twenty-five SSR markers were used to measure the level of polymorphism and genetic variation among the 65 rice genotypes. Twenty-one of the twenty-five SSRs were discovered to be polymorphic, whereas the rest were determined to be monomorphic. A total of 91 alleles were found in 21 SSR markers, with an average of 4.00 alleles which ranged from 3 (RM335, RM551, RM538 RM190, RM242 and RM270) to 7 (RM263). The average PIC value was 0.62 ranging from 0.28 (RM 270) to 0.76 (RM 481). The rice genotypes were divided into nine primary clusters by a dendrogram based on NTSYS software’s UPGMA analysis. The cluster analysis revealed that these genotypes were divided into nine clusters where cluster IB-1a has the most genotypes (31) followed by cluster IB-1b (24).The genotype BR24 and Utri as well as Pukhi and WANGI PUTEH had the highest dissimilarity coefficient values indicating genotype diversity. These accessions have a lot of genetic diversity among the constituents; thus, they could be used directly in a hybridization program to improve yield-related parameters.</span></p>

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Evaluation of Exotic Rice Varieties for Genetic Parameters in a Nigerian Agro-Ecology

Abstract: Aim:The research focused on the performance of six exotic rice genotypes from Malaysian Agricultural Research and Development Institute (MARDI) in a Nigerian agro-ecology. Study Design: The varieties were evaluated in randomized complete block design replicated three times.

Cited by 5 publications

References 5 publications

Adaptation and Selection Early and High Yielding Production of Some Exotic Rice Genotyps Under Egyption Conditions

Adaptation and Selection Early and High Yielding Production of Some Exotic Rice Genotyps Under Egyption Conditions

Morpho-Molecular Diversity Analysis of Local Rice (Oryza sativa L.) Genotypes Using Microsatellite Markers

Molecular diversity of rice (Oryza sativa L.) genotypes in Malaysia based on SSR markers

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