scholarly journals Multivariate analysis and character association for agro-morphological traits in elite rice germplasm

2022 ◽  
Vol 13 (3) ◽  
Author(s):  
Kunta Mounika ◽  
Darmagaru Shivani ◽  
Farzana Jabeen ◽  
Kasarla Chaitanya ◽  
Mushyam Chiranjeevi ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Morphological Traits ◽  
Rice Germplasm ◽  
Character Association

Multivariate analysis in mungbean [Vigna radiata (L.) Wilczek] to identify the genetic donors for pubescence and agro-morphological traits

2015 ◽  
Vol 38 (6) ◽  
Author(s):  
Chandra Mohan Singh ◽  
S. B. Mishra ◽  
Anil Pandey ◽  
Madhuri Arya
Keyword(s):  
Multivariate Analysis ◽  
Seed Yield ◽  
Morphological Traits ◽  
Branch Angle ◽  
High Contribution ◽  
Genotypic Cluster ◽  
Biological Yield ◽  
Total Divergence ◽  
Beak Length ◽  
Selection Of

The present investigation was conducted with 36 genotypes of mungbean on 26 agro-morphological traits including seed yield and pubescence traits to access the degree of divergence for mungbean improvement during <italic>zaid</italic> 2012. These mungbean genotypes were grouped into seven clusters. Cluster IV comprised of 14 genotypes, forming the largest cluster followed by cluster VI comprised eight genotypes, cluster I comprised seven genotypes and cluster II comprised four genotypes. Three clusters <italic>viz.</italic>, cluster III, V & VII formed mono genotypic cluster. All the pubescence traits contributed towards total divergence. Among the agro-morphological traits, high contribution towards total divergence was recorded for beak length, average intermodal length, primary branch angle with main stem, biological yield, seed yield and pods per cluster, indicated the possibility of selection of parent(s) for hybridization to manipulate the targeted trait(s) for mungbean improvement.

scholarly journals MULTIVARIATE ANALYSIS OF MORPHOLOGICAL TRAITS AND THE MOST IMPORTANT PRODUCTIVE TRAITS OF WHEAT IN EXTREME WET CONDITIONS

2020 ◽  
Vol 18 (4) ◽  
pp. 5857-5871
Author(s):  
K. LUKOVIĆ ◽  
S. PRODANOVIĆ ◽  
V. PERIŠIĆ ◽  
M. MILOVANOVIĆ ◽  
V. PERIŠIĆ ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Morphological Traits ◽  
Productive Traits

scholarly journals Agro-morphological characterization based genetic diversity of Indonesian local rice germplasm

2021 ◽  
Vol 948 (1) ◽  
pp. 012004
Author(s):  
I W Mulsanti ◽  
A Risliawati ◽  
N Yunani
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Quantitative Data ◽  
Morphological Traits ◽  
Principal Component ◽  
Morphological Characters ◽  
Morphological Characterization ◽  
Tiller Number ◽  
Rice Germplasm ◽  
Productive Tiller

Abstract The present study was carried out to characterize 103 Indonesian local rice germplasm on the basis of 20 agro-morphological traits. The local rice germplasm originated from Riau and Jambi province in Sumatera island. Principal Component Analysis (PCA) was used to analyzed 11 quantitative data. PCA explained the genetic diversity of the rice germplasm accession. Most of the morphological characters showed variation in different accession. PC1 and PC2 explained about 32.5% and 22.1% of the variability, respectively. PCI and PC2 mostly related with traits such as productive tiller number (PTN), vegetative tiller number (VTN), plant height (PH), and culm length (CL). PCA-Biplot showed accession from Jambi and Riau manage to be separated, even though the PCA percent is only 54.6%. Accession originated from Riau marked by number of tillers (PTN, VTN), and grain weight (GW) traits. Based on cluster analysis, rice germplasm grouped in to 4 main clusters. Most of the accession from Jambi and Riau grouped in the same cluster, which is cluster I. Whereas eight local accessions from Riau grouped in the same cluster separately (cluster II). Two accession which are Padi Jarum (Acc 2711) and Ketan Hitam (Acc 9300) are individually, separated from others.

Multivariate analysis for morphological traits of the Hamra goat population in two regions of Morocco

2016 ◽  
Vol 59 ◽  
pp. 55-62
Author(s):  
B. Hilal ◽  
S. El Otmani ◽  
M. Chentouf ◽  
I. Boujenane
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Variance Component ◽  
Morphological Traits ◽  
Head Width ◽  
Body Measurements ◽  
Morphometric Traits ◽  
Goat Population ◽  
Two Populations

SummaryThe goal of this study was to characterize the Hamra goat population and to determine if Hamra goats of Beni Arouss and Rommani regions belong to the same population. Eleven morphometric traits of 157 Hamra animals (94 from Beni Arouss and 63 from Rommani) were used for this study. Overall, heart girth, body length, height at withers (HaW), height at rump (HS), chest depth (ChD), pelvis width (PW), chest width (CW), cannon circumference, head length (HeL), head width (HeW) and horn length (HL) of Hamra goats averaged 81.3, 61.5, 64.8, 65.3, 40.9, 19.3, 20.2, 9.67, 28.0, 26.3 and 23.4 cm, respectively. The effect of region was significant only on HaW, PW, HeL, HeW and HL, indicating certain homogeneity among goats of the two regions. Moreover, the inter region variance component ranged from 0 percent (absence of variability) for HS, CW, ChD and ChD to 18.5 percent for HeL, suggesting that the variability of body measurements between Beni Arouss and Rommani regions is very low. The factor analysis revealed four factors, which accounted for 73.5 percent of the total variance. The most discriminant variables between the two populations were HeL, HeW, PW and CW. The Mahalanobis distance between the two populations was 1.197, suggesting that there was genetic exchange between the two populations. The discriminant analysis showed that 80.9 percent of Rommani and 50.0 percent of Beni Arouss individuals were classified into their respective population. Results obtained will help in developing improvement and preservation strategies for the Hamra goat population.

scholarly journals Genetic diversity and variability among pigmented rice germplasm using molecular marker and morphological traits

2020 ◽  
Vol 34 (1) ◽  
pp. 747-762 ◽  
Author(s):  
Hamidah Mohd Sarif ◽  
Mohd Y. Rafii ◽  
Asfaliza Ramli ◽  
Yusuff Oladosu ◽  
Hanafi M. Musa ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Molecular Marker ◽  
Morphological Traits ◽  
Pigmented Rice ◽  
Rice Germplasm

scholarly journals Variability And Character Association Of Reproductive Traits In Exotic Rice Germplasm

1970 ◽  
Vol 23 (1) ◽  
pp. 39-44
Author(s):  
T Akhter ◽  
NA Ivy ◽  
MG Rasul ◽  
MAK Mian
Keyword(s):  
Genetic Variability ◽  
Reproductive Traits ◽  
Positive Association ◽  
Pollen Sterility ◽  
Path Coefficient ◽  
Phenotypic Variance ◽  
Significant Positive Association ◽  
Rice Germplasm ◽  
Character Association ◽  
High Heritability

Fifty two genotypes were evaluated to find out the genetic variability, character association, and path coefficient for reproductive traits of exotic rice germplasm in experimental field of Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur during December 2008 to May 2009. The analysis of variance showed significant variation for all the characters indicating wide genetic variability among the genotypes. The highest genotypic variance and phenotypic variance were found for pollen sterility and filled grains per panicle. High heritability and genetic advance were recorded for pollen sterility. Filled grains per panicle, days to 50% flowering, and pollen sterility of different genotypes had a high degree of significant positive association with grain yield per hill. On the basis of genetic parameters, associations and path analysis 52 genotypes might be selected considering the filled grains per panicle only.   Key words: Variability; correlation coefficient; path coefficient; exotic rice DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9316 BJPBG 2010; 23(1): 39-44

scholarly journals Genetic Variability and Character Association Studies in Indigenous Ahu Rice Germplasm of Assam, India

2018 ◽  
Vol 7 (06) ◽  
pp. 2297-2304
Author(s):  
Jyotirupa Kalita ◽  
Priyanka Bairagi ◽  
Gargi Kashyap ◽  
M.K. Sarma ◽  
Sangeeta Baruah ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Association Studies ◽  
Rice Germplasm ◽  
Character Association
Sign in / Sign up

Export Citation Format

Share Document