Variation in rice landraces adapted to the lowlands and hills in Nepal

2007 ◽  
Vol 5 (03) ◽  
pp. 120-127 ◽  
Author(s):  
R. C. Sharma ◽  
N. K. Chaudhary ◽  
B. Ojha ◽  
L. Yadav ◽  
M. P. Pandey ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Oryza Sativa ◽  
Genetic Improvement ◽  
Agronomic Traits ◽  
Diversity Index ◽  
Principal Component ◽  
Field Studies ◽  
Rice Landraces ◽  
Improved Cultivars ◽  
Index Of Diversity

The landraces of rice (Oryza sativaL.) possess wide diversity, which needs to be properly characterized for their use in genetic improvement. Replicated field studies were conducted in 1998, 1999 and 2000 at two sites in Nepal to determine diversity in 183 landraces of rice adapted to the lowlands and the hills in Nepal. Fourteen improved genotypes were also used for comparison. Thirteen agronomic traits were investigated. Shannon–Weaver diversity index (H) and Simpson's index of diversity (D) were estimated to determine the level of genetic richness among the landraces. The landraces differed significantly for all traits. Except for plant height and maturity, at least one of the landraces compared well with the performance of improved cultivars. A principal component analysis separated the lowland- and hill-adapted landraces into two broad groups.

scholarly journals Análisis Prospectivo de la Detección Hiperespectral de Cultivos de Arroz (Oryza Sativa L.)

2018 ◽  
Vol 3 (1) ◽  
pp. 69
Author(s):  
Jorge Serrano ◽  
José Fábrega ◽  
Evelyn Quirós ◽  
Javier Sánchez- Galán ◽  
José Ulises Jiménez
Keyword(s):  
Principal Component Analysis ◽  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Field Measurements ◽  
Spectral Signature ◽  
Prospective Analysis ◽  
Rice Cultivars ◽  
Crop Varieties ◽  
Nm Range

The objective of this work is to perform a prospective analysis of the wavelengths that can be used to recognize a rice crop due to its phenological status and variety. For this purpose, field measurements of spectral signature in the 350 nm -1049 nm range were employed. The rice cultivars FCA 616FL and IDIAP 54-05 were used. The study site was located in the Juan Hombrón area in the Coclé province, Panama. A principal component analysis (PCA) was carried out, which resulted in the lengths 728.16, 677.89 and 785.48 nm let phenological differentiation within the cultivar FCA 616FL and IDIAP 54-05, the lengths 729.72, 814.58 and 666.81 nm let distinguish between crop varieties FCA 616FL and IDIAP 54-05 in vegetative phase.Keywords: Rice, reflectance, hyperspectral signature, phonological state.

scholarly journals Principal Component Analysis of Some Quantitative and Qualitative Traits in Iranian Spinach Landraces

2017 ◽  
Vol 71 (4) ◽  
pp. 307-310
Author(s):  
Mehdi Mohebodini ◽  
Naser Sabaghnia ◽  
Farhad Behtash ◽  
Mohsen Janmohammadi
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Quantitative Traits ◽  
Agronomic Traits ◽  
Principal Component ◽  
Component Analysis ◽  
Leaf Width ◽  
Petiole Length ◽  
Qualitative Traits ◽  
Eigen Values

Abstract Landraces of spinach in Iran have not been sufficiently characterised for their morpho-agronomic traits. Such characterisation would be helpful in the development of new genetically improved cultivars. In this study 54 spinach accessions collected from the major spinach growing areas of Iran were evaluated to determine their phenotypic diversity profile of spinach genotypes on the basis of 10 quantitative and 9 qualitative morpho-agronomic traits. High coefficients of variation were recorded in some quantitative traits (dry yield and leaf area) and all of the qualitative traits. Using principal component analysis, the first four principal components with eigen-values more than 1 contributed 87% of the variability among accessions for quantitative traits, whereas the first four principal components with eigen-values more than 0.8 contributed 79% of the variability among accessions for qualitative traits. The most important relations observed on the first two principal components were a strong positive association between leaf width and petiole length; between leaf length and leaf numbers in flowering; and among fresh yield, dry yield and petiole diameter; a near zero correlation between days to flowering with leaf width and petiole length. Prickly seeds, high percentage of female plants, smooth leaf texture, high numbers of leaves at flowering, greygreen leaves, erect petiole attitude and long petiole length are important characters for spinach breeding programmes.

scholarly journals Correlation between macroalgae diversity and water quality in Southwest Maluku waters

2020 ◽  
Vol 45 (1) ◽  
pp. 25-32
Author(s):  
Marsya Jaqualine Rugebregt ◽  
Hairati Arfah ◽  
Ferdinand Pattipeilohy
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Species Composition ◽  
Diversity Index ◽  
Principal Component ◽  
Quality Parameters ◽  
Nursery Ground ◽  
Water Sampler ◽  
Phosphate Nitrate ◽  
Seawater Quality

Macroalgae play an important role in the ecosystem of the coastal area, serving as a shelter ground, nursery ground, and feeding ground. Macroalgae communities are directly influenced by water quality. This study aim was to determine the correlation between the macroalgae diversity and water quality in southwest Maluku waters. This research was conducted in September 2019 at seven research stations. Macroalgae samples were collected by transect method, while seawater quality was measured using Van Dorn Water Sampler. The macroalgae diversity, species composition, and dominance were determined. Water quality parameters analyzed were temperature, salinity, pH, phosphate, nitrate, and ammonia. Correlations between macroalgae diversity and water quality were determined using principal component analysis. This study recorded 45 species of macroalgae consisting of 15 species of red algae (Rhodophyta), 6 species of brown algae (Phaeophyta), and 24 species of green algae (Chlorophyta). Diversity Index varied ranged from low to moderate categories (0.969 - 2.345). Water quality in general is still quite good for macroalgae life. Macroalgae diversity and water quality correlate and influence each other.

scholarly journals Assessment of Morphometric Diversity for Yield and Yield Attributing Traits in Rice (Oryza sativa L.) for Tolerance to Heat Stress

2020 ◽  
pp. 29-49
Author(s):  
S. Sandeep ◽  
M. Sujatha ◽  
L. V. Subbarao ◽  
C. N. Neeraja
Keyword(s):  
Principal Component Analysis ◽  
Oryza Sativa ◽  
Heat Stress ◽  
Oryza Sativa L ◽  
Pollen Viability ◽  
Principal Component ◽  
Component Analysis ◽  
Spikelet Fertility ◽  
Breeding Programmes ◽  
Heat Tolerant

The present investigation entitled “Assessment of morphometric diversity for yield and yield attributing traits in rice (Oryza sativa L.) for tolerance to heat stress” was carried out with objective of assessing genetic divergence in 200 germplasm of rice for eleven characters at ICRISAT, Patencheru, Hyderabad. The genotypes were grouped into fifteen clusters in Tocher’s method, cluster analysis and principal component analysis, out of the 11 characters studied, number of grains per panicle, plant height, pollen viability and spikelet fertility contributed 96.73 per cent of the total divergence and these traits were found to be important potent factors for genetic differentiation in genotypes. Principal component analysis identified five principal components, which contributed for 78.66 percent % of cumulative variance. The overall results of the study revealed that crossing using the genotypes under cluster V and XI and cluster XI and XIII could be exploited by hybridization programme to yield good recombinants because they had maximum inter cluster distance and possessing high genetic diversity for the characters viz. panicle length, number of grains per panicle and single plant yield. The genotypes of cluster I, II, IV, VI, VII, VIII, XI, XII and XIII showed high spikelet fertility percentage. Hence the genotypes of these clusters can be used in breeding programmes for development of heat tolerant varieties. Euclidean2 method indicated that genotypes of cluster III and IX exhibited high spikelet fertility percentage which can be utilized in development of heat tolerant cultivars. The results of principal component analysis revealed that genotypes of cluster I, cluster IV, cluster V, cluster VIII, cluster IX, cluster XI, cluster XII and cluster XV exhibited highest spikelet fertility percentage. Hence, the genotypes of the clusters can be used in breeding programmes for the development of heat tolerant varieties. 

scholarly journals Principal component analysis for anaerobic germination traits in rice (Oryza sativa L.)

2020 ◽  
Vol 8 (1) ◽  
pp. 1977-1982
Author(s):  
K Sudeepthi ◽  
T Srinivas ◽  
BNVSR Ravi Kumar ◽  
Jyothula DPB ◽  
SK Nafeez Umar
Keyword(s):  
Principal Component Analysis ◽  
Oryza Sativa ◽  
Principal Component ◽  
Component Analysis ◽  
Anaerobic Germination ◽  
Germination Traits

scholarly journals Agro-morphological diversity of plantain accessions from different part of the world

2020 ◽  
Vol 14 (4) ◽  
pp. 1308-1321
Author(s):  
Amien Isaac Amoutchi ◽  
Oulo N’nan-Alla ◽  
Deless Edmond Fulgence Thiemele
Keyword(s):  
Principal Component Analysis ◽  
Genetic Improvement ◽  
Principal Component ◽  
Morphological Diversity ◽  
Black Sigatoka ◽  
Fruit Texture ◽  
Breeding Objective ◽  
The World ◽  
Qualitative Variables ◽  
Improvement Programme

The objective of this study was to characterize the agro-morphological diversity of plantain accessions. 18 quantitative variables and 20 qualitative variables were measured. The results of the analysis of the qualitative variables revealed important traits such as black Sigatoka resistance of FHIA 21, Pita 3, M53, Calculta 4 and Banskii accessions and the firm fruit texture of Galeo, Kokor, French sombre and Corne 1 accessions. A Principal Component Analysis (PCA) performed with the quantitative variables separated the 9 accessions into 4 groups with particular and important characteristics which can be exploited differently in genetic improvement programme according to the breeding objective. From these results, it appears clearly that the objective is achieved.Keywords: Sigatoka, qualitative variables, quantitative variables, genetic improvement.

scholarly journals Assessment of the genetic components and trait associations in diverse set of fieldpea (Pisum sativum L.) genotypes

2015 ◽  
Vol 43 (3) ◽  
pp. 323-330 ◽  
Author(s):  
AK Parihar ◽  
GP Dixit ◽  
V Pathak ◽  
D Singh
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Components ◽  
Agronomic Traits ◽  
Principal Component ◽  
Component Analysis ◽  
Genetic Components ◽  
Wide Range ◽  
Cluster Distance ◽  
Biological Yield

One hundred and 40 genotypes of fieldpea were used to assess the genetic divergence for various agronomic traits. The study revealed that all the accessions were significantly different for the traits and a wide range of variability exists for most of the traits. Correlation studies exhibited that seed yield had positive significant correlation with most of the traits. Cluster analysis classified 140 genotypes into 12 distinct groups. A large number of genotypes (30) were placed in cluster IV followed by cluster III with 24 genotypes. The maximum inter-cluster distance was observed between clusters III and IV indicating the possibility of high heterotic effect if the individuals from these clusters are cross-bred. Principal component analysis yielded 12 Eigen vectors and PCA analysis revealed significant variations among traits with seven major principal components explaining about 90% of variations. The estimates of Eigen value associated with the principal components and their respective relative and accumulated variances explained 50.16% of total variation in the first two components. The characters with highest weight in component first were biological yield, pods/plant, yield/plant and branches/plant which explained 34.22% of the total variance. The results of principal component analysis were closely in line with those of the cluster analysis. The grouping of genotypes and hybridization among genetically diverse genotypes of different cluster would be helpful in broadening the genetic base of fieldpea and producing desirable recombinants for developing new fieldpea varieties. DOI: http://dx.doi.org/10.3329/bjb.v43i3.21605 Bangladesh J. Bot. 43(3): 323-330, 2014 (December)

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