Assessment phenotypic diversity of rice (Oryza sativa L.) genotypes by multivariate analysis

An efficient way to achieve superior productivity is to determine the genetic variation of the various rice genotypes. This research was aimed at estimating potential variations between rice genotypes and identifying each trait contribution in total variation and classifying superior genotypes. The experiment was performed at the Rice Research and Training Centre, Sakha, Kafr El-Sheik, Egypt. Twenty-two genotypes of rice were analyzed using seven agronomic traits. Multivariate approaches were utilized including principal components and cluster analysis. Results showed that PC1 and PC2 represented 66.1% of the variation between studied genotypes, mainly 48% because of grain yield per plant variation in PC1 followed by the characteristics of its components i.e., number of panicles per plant, number of filled grains per panicle, and 1000-grain weight. The three Egyptian rice genotypes Giza 181, Giza 178, and Giza 177 were the best genotypes for grain yield. Cluster results revealed that the majority of genotypes originated from one source (except for Indian variety IET1444) or belonged to one classification were clustered together. Multivariate analytical approaches are ideal instruments for providing information on agronomic character variations. Consequently, the results of the current study should be taken into account when developing new rice varieties.

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Assessment of genetic variability for quantitative characters in rice (Oryza sativa L.) under post flood situation in sali

ORYZA- An International Journal on Rice ◽

10.35709/ory.2021.58.1.7 ◽

2021 ◽

Vol 58 (1) ◽

pp. 43-48

Author(s):

Dalibha Pathak ◽

Umesh Ch. Kalita

Keyword(s):

Grain Yield ◽

Coefficient Of Variation ◽

Quantitative Traits ◽

Oryza Sativa L ◽

Block Design ◽

Genetic Advance ◽

Spikelet Sterility ◽

Rice Varieties ◽

Randomized Block Design ◽

Spikelets Per Panicle

Sixteen genotypes of rice (including one check) were evaluated on 18 quantitative traits during sali (August), 2018 in a randomized block design with three replications at Instruction cum Research Farm, Department of Plant Breeding and Genetics, Assam Agricultural University, Jorhat to study the nature and magnitude of variability, heritability and genetic advance under delayed sown condition. The analysis of variance for 18 quantitative traits revealed the presence of significant differences for grain yield and its component characters. The highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) was observed for chaffs per panicle followed by grains per panicle, spikelet sterility (%), spikelets per panicle, grain yield (kg/ha). A high heritability coupled with high genetic advance was observed for plant height (cm), spikelets per panicle, spikelet sterility (%), chaffs per panicle, grains per panicle, grain yield (g/hill), grain yield (kg/ha), biological yield (kg/ha), straw weight (kg/ha) and harvest index (%) indicating that selection might be effective for improvement of these characters under delayed sown condition with low input. From the findings of this investigation, one genotype viz., Gandhari emerged as the outstanding genotype which yielded 4170 kg/ha and could be directly used for cultivation in delayed sown situation with low inputs. Some other promising genotypes that yielded higher than the check Manoharsali under delayed sown condition were JR 29, JR 16, Basundhara and JR 60 and could be utilized as potential parental material in the hybridization programmes designed to develop suitable rice varieties for delayed sown situation.

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Performance of F2 Rice (Oryza sativa L.) Segregants Derived from a Cross the BPT-5204 / IR-64Drt1

International Journal of Environment and Climate Change ◽

10.9734/ijecc/2020/v10i1230282 ◽

2020 ◽

pp. 31-47

Author(s):

Anjani Kumar ◽

D. N. Singh ◽

Krishna Prasad ◽

Avinash Pandey

Keyword(s):

Grain Yield ◽

Field Condition ◽

Significant Variation ◽

Oryza Sativa L ◽

Block Design ◽

Drought Condition ◽

Normal Field ◽

Randomized Block Design ◽

Rice Genotypes ◽

Selection Of

The present investigation was carried out with F2 plants from a cross between two parents i.e., BPT-5204 and IR-64Drt1. The selection of parents for crosses was made based on genotypes that were tolerant and susceptible to drought condition. BPT-5204 was drought susceptible and IR-64Drt1 was also tolerant to drought. In this experiment adequate amount of variability was detected for grain yield per plant and its components among 324 segregants evaluated under augmented randomized block design II in normal field condition. The analysis of variance for grain yield and its attributing characters among blocks, treatments, entries, checks and checks vs entries revealed presence of significant variation in the segregants studied. However, with respect to checks, non-significant differences were recorded for only L/B ratio. The results indicated that among 324 rice genotypes including checks, only 9 rice genotypes expressed higher yield compared to seven checks varieties under normal field condition. The segregants S-51, S-122, S-135, S-195, S-199, S-210, S-219, S-222, S-251 were top ranking genotypes with respect to all checks.

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Phosphorus and Zinc Fertilization Improve Zinc Biofortification in Grains and Straw of Coarse vs. Fine Rice Genotypes

Agronomy ◽

10.3390/agronomy10081155 ◽

2020 ◽

Vol 10 (8) ◽

pp. 1155

Author(s):

Amanullah ◽

Inamullah ◽

Mona S. Alwahibi ◽

Mohamed Soliman Elshikh ◽

Jawaher Alkahtani ◽

...

Keyword(s):

Management Practices ◽

Field Experiments ◽

Negative Impact ◽

Oryza Sativa L ◽

Crop Productivity ◽

Continuous Cropping ◽

Rice Varieties ◽

Rice Grains ◽

Rice Genotypes ◽

The Impact

Continuous cropping of rice (Oryza sativa L.) and wheat (Triticum aestivum L.) deplete soil fertility and reduce crop productivity as well as zinc (Zn) concentrations in rice grains and straw. Low Zn concentrations in rice grains have a negative impact on human health, while low Zn concertation in rice straw creates a nutritional problem for animals. The current high yielding rice varieties and hybrids remove large quantities of Zn from the soils, lowering the residual concentrations of soil Zn for the subsequent crop (e.g., wheat). Field experiments were conducted on farmers field in Malakand with the objective to evaluate the impact of various combinations of phosphorus (0, 40, 80, and 120 kg ha−1) and Zn levels (0, 5, 10, and 15 kg ha−1) on biofortification of Zn in grains and straw of rice genotypes [fine (Bamati-385) vs. coarse (Fakhre-e-Malakand and Pukhraj)]. The results revealed that Zn biofortification in rice genotypes increased with the integrated use of both nutrients (P + Zn) when applied at higher rates (80 and 120 kg P ha−1, and 10 and 15 kg Zn ha−1, respectively). The biofortification of Zn in both grains and straw was higher in the coarse than fine rice genotypes (Pukhraj > Fakhre-e-Malakand > Basmati-385). It was concluded from this study that the application of higher P and Zn levels increased Zn contents in rice parts (grains and straw) under the rice-wheat system. We also concluded from this study that Zn concentrations in rice grains and straw are influenced by plant genetic factors and Zn management practices.

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MOLECULAR CHARACTERIZATION AND GENETIC DIVERSITY IN FINE GRAIN AND AROMATIC LANDRACES OF RICE (Oryza sativa L.) USING MICROSATELLITE MARKERS

Bangladesh Journal of Plant Breeding and Genetics ◽

10.3329/bjpbg.v20i2.17028 ◽

2007 ◽

Vol 20 (2) ◽

pp. 01-10 ◽

Cited By ~ 5

Author(s):

M. Z. Hossain ◽

M. G. Rasul ◽

M. S. Ali ◽

K. M. Iftekharuddaula ◽

M. A. K. Mian

Keyword(s):

Genetic Background ◽

Oryza Sativa L ◽

Principal Coordinate Analysis ◽

Molecular Fingerprinting ◽

Rice Varieties ◽

Fine Grain ◽

Dissimilarity Coefficients ◽

Rice Genotypes ◽

Local Genotypes ◽

Genetic Dissimilarity

A total of thirty microsatellite molecular markers were used across 21 rice genotypes for their characterization and discrimination. The number of alleles per locus ranged from three (RM165, RM219, RM248, RM463, RM470 and RM517) to nine (RM223), with an average of 4.53 alleles across the 30 loci obtained in the study. The polymorphism information content (PIC) values ranged from 0.30 (RM219) to 0.84 (RM223) in all 30 loci. RM223 was found the best marker for the identification of 21 genotypes as revealed by PIC values. The frequency of the most common allele at each locus ranged from 24% (RM223 and RM334) to 81% (RM219). A two dimensional principal coordinate analysis (PCoA) with 21 genotypes showed that the genotypes Supper Basmoti, Basmati370, BasmatiD, Keora, Chinisakkora, Thakurbhog, Benaful, Kolgochi, Buchi, Awnedtapl and Kalijira-11 were found far away from centroid of the cluster than rest of the genotypes which placed around the centroid. The pair-wise genetic dissimilarity coefficients indicated that the highest genetic distance was obtained between Thakurbhog and Supper Basmoti (0.81) as well as between Benaful and Keora (0.81). Basmati (Basmoti D, Super Basmati, Basmati 370) and Kalijira (Kalijira 11, 12, 13, 14) genotypes had close similarity among them but showed wide dissimilarity with other local genotypes. Being grouped into distant clusters, SupperBasmoti, Thakurbhog, Keora, and Benaful could be utilized as potential parents for the improvement of fine grain aromatic rice varieties. Genotypes Kolgochi and Buchi (having zero dissimilairty) might be possessed same genetic background. The microsatellite marker based molecular fingerprinting could serve as a sound basis in the identification of genetically distant accessions as well as in the duplicate sorting of the morphologically close accessions.DOI: http://dx.doi.org/10.3329/bjpbg.v20i2.17028

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Genotypic association between grain yield and six agronomic traits in a cross between rice varieties of contrasting plant type

Euphytica ◽

10.1007/bf01904214 ◽

1970 ◽

Vol 19 (3) ◽

pp. 356-363 ◽

Cited By ~ 6

Author(s):

T. T. Chang ◽

O. Tagumpay

Keyword(s):

Grain Yield ◽

Agronomic Traits ◽

Plant Type ◽

Rice Varieties ◽

Genotypic Association

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Descriptive Statistics and Heritability for Agronomic Traits and Grain Micronutrient Content in Rice (Oryza sativa L.)

Current Journal of Applied Science and Technology ◽

10.9734/cjast/2019/v38i630419 ◽

2019 ◽

pp. 1-10

Author(s):

Avinash Kumar ◽

Ashutosh Kumar ◽

N. K. Singh ◽

Rajesh Kumar ◽

S. K. Singh ◽

...

Keyword(s):

Grain Yield ◽

Agronomic Traits ◽

Oryza Sativa L ◽

Block Design ◽

Zinc Content ◽

Yield Potential ◽

High Yield ◽

Grain Zinc ◽

Iron And Zinc ◽

Breeding Programmes

In the present investigation, 10 parents and their 45 crosses (half diallel) along with 2 standard checks (Rajendra Nilam and Rajendra Mahsuri-1) were evaluated during Kharif, 2018 in Randomized Complete Block Design (RCBD) with 3 replications at Rice Farm Section, Dr. Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Bihar. The objective of this study was to identify promising rice genotypes having desirable combination of morphological traits along with high grain iron and zinc content and high grain yield potential. The results of variability parameters indicated that ample amount of genetic variability was present for all the studied traits. Most of the traits showed high heritability coupled with high genetic advance indicating fruitfulness of selection for improvement of these traits. One genotype (P2×P7) with high grain iron (16.10 ppm) and grain zinc (26.40 ppm) content along with high yield (43.12 g/plant) was identified. Genotypes with high grain iron coupled with high grain yield (P7×P9, P8×P9, P5×P7 and P5×P9) and high grain zinc content coupled with high grain yield (P4×P7, P9×P10, P8×P9 and P5×P7) were also identified. These promising genotypes identified can be used further in breeding programmes to obtain superior segregants with high grain micronutrient content and high grain yield.

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Evaluation of Yields of Selected Upland Rice (Oryza sativa L) Varieties in a Humid Environment

Journal of Experimental Agriculture International ◽

10.9734/jeai/2020/v42i830573 ◽

2020 ◽

pp. 77-84

Author(s):

A. I. Nwonuala ◽

L. D. Gbaraneh

Keyword(s):

Grain Yield ◽

Agronomic Traits ◽

Upland Rice ◽

Oryza Sativa L ◽

Block Design ◽

State University ◽

Yield Performance ◽

Cropping Season ◽

Port Harcourt ◽

Rivers State

This study is aimed to evaluate the yield performance of 12 varieties of upland rice and to assess the agronomic traits that contribute to yield performance of these varieties. A 2-year field experiment was conducted in the Teaching and Research Farm of the Rivers State University, Port Harcourt, Nigeria. The twelve varieties which made up the twelve treatments were laid out in a Randomized Complete Block Design (RCBD) and replicated three times. The experimental site was loamy sand, medium acidic with the soil pH reduced in the second cropping season (pH 4.9 in 2012; and pH 4.8 in 2013). The varieties differed significantly amongst themselves in panicle weight, number of fertile spikelets, grain length/breath ratio, 1000 grain weight in 2012 and 2013 planting and grain yield in 2012 planting season. The ITA 321 had the highest yield of 10300.33 kg/ha in 2012 and 10533.33 kg/ha in 2013 followed by NERICA 1 having 9066.67 kg/ha (2012) and 9133.33 kg/ha (2013). The NERICA 2,3,4,5 and 6 also belonged to the high yielding group while APO, Vandana, IR68 and ITA 150 recorded lower yields. Results of this evaluation have shown that ITA 321 and NERICA 1 can be grown in the tropical rainforest zone for paddy grain yield rather than ITA 150 which are already in use in this agro-ecological zone. They are recommended also for adoption and use in rice production instead of the popular ITA 150.

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Association Mapping of Drought Avoidance and Agronomic Traits in Rice (Oryza Sativa L.) Landraces with SSR Markers and Genotyping-By-Sequencing Approach

10.21203/rs.3.rs-127517/v1 ◽

2020 ◽

Author(s):

Beena R ◽

Silvas Kirubakaran ◽

Nithya N ◽

Sah R.P ◽

Abida P.S ◽

...

Keyword(s):

Ssr Markers ◽

Genome Wide Association Study ◽

Agronomic Traits ◽

Oryza Sativa L ◽

Genotyping By Sequencing ◽

Plant Production ◽

Plant Performance ◽

Chromosome 1 ◽

Production Traits ◽

Rice Varieties

Abstract Development of rice varieties suited to varying drought stress level, and crop stages, relies mainly on identifying new genetic resources and genomic targets to improve whole plant physiological processes and productivity. This study with 99 rice germplasm adapted to Southwestern Indian peninsular region genotyped with 100 SSR markers evaluated over five different seasons/field trials to characterize plant physiological, root traits and yield related traits under different intensity and crop stage experienced water limitation. Traits like chlorophyll stability index, leaf rolling, days to 50% flowering, chlorophyll content, root volume and root biomass were identified as best predictors of grain yield under stress. Genome-Wide Association Study revealed genetic variation and genomic targets underlying major QTLs for different physiological, root and plant production traits. Combined analysis with trials 1-4 revealed 14 genomic regions governing multiple traits that contribute to plant performance and productivity under water stress. Genetic characterization of nine selected landraces and two elite cultivars using genotyping-by-sequencing (GBS) revealed haplotype variation within genomic targets on chromosome 1, 4, 6 and 11 for potential use as molecular markers. The genetic and genomic resources identified will enable combining traits with agronomic value to optimize yield under stress and hasten trait introgression into elite cultivars.

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Identification of fgr gene and preliminary evaluation for agronomic traits of pandan sticky rice variety (Oryza sativa L.)

The Journal of Agriculture and Development ◽

10.52997/jad.5.02.2019 ◽

2019 ◽

Vol 02 ◽

pp. 39-48

Author(s):

Toan D. Pham

Keyword(s):

Oryza Sativa ◽

Agronomic Traits ◽

Oryza Sativa L ◽

Rice Variety ◽

Rice Production ◽

Molecular Techniques ◽

High Yield ◽

Preliminary Evaluation ◽

Rice Varieties ◽

Fgr Gene

Rice (Oryza sativa L.) is the most important food crop in Vietnam particularly in the Mekong Delta. Screening of good quality and high yield rice varieties are needed for rice production in Vietnam. The purpose of this study was to use molecular techniques to identify fgr gene and to evaluate preliminarily agronomic traits of pandan sticky rice variety. The results showed that this variety contained fgr gene. The fragrant allele was amplified by ESP - IFAP primers with a product of 255 bp in size. Similarly, evaluation of agronomic traits showed that the pandan sticky rice variety displayed many desirable characteristics such as plant height of 108 cm, panicle length of 25.6 cm, seed/panicle 135, 100-grain weight 2.07 g, pandan smell, level 2 of alkali digestion, gel consistency 93 mm. These results were useful information and could be applied for improving and providing pandan sticky rice variety for rice production.

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