Diversity analysis of mungbean [Vigna radiata (L.) Wilczek] genotypes for bruchid resistance

Mungbean [Vigna radiata (L.) Wilczek] is one of the most important pulse crops in the tropical and sub-tropical areas. Although the total production of mungbean is not enough to supplement the nutritional requirement, an additional issue further augments the concern of its use: the post-harvest damage in the storage condition. Bruchids (Callosobruchus chinensis) are major polyphagous storage pest that causes substantial losses, both quantitatively and qualitatively. The objective of the current study was to classify the fifty-two mungbean genotypes into groups based on their bruchid resistant and susceptibility by using multivariate statistical analysis. Since the present study emphasizes the progressive breeding program, the multivariate analysis is expected to effectively demonstrate the diversity of bruchid attack and therefore identify and ensures the correct representation of the resistant genotypes. The Principal Component Analysis (PCA) displays the correlation of bruchid morpho-physiological traits and the diversity analysis groups the considered genotypes into four clusters (I-IV). The cluster III contains seven genotypes which are observed most effective against bruchid attack. The PC1 shows 70.83% of variability where PC2 shows 29.17% of variability. PCA picturize the most positive correlation between the number of egg laid (NOEL-0.922) and percentage of seed damage (POSD-0.975) among all the morpho-physiological traits. The cluster III thus helps selecting resistant parents for hybridization in future crop improvement program.

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Population structure and genetic diversity analysis in Sali (Oryza sativa) rice germplasm of Assam using microsatellite markers

ORYZA- An International Journal on Rice ◽

10.35709/ory.2021.58.2.4 ◽

2021 ◽

Vol 58 (2) ◽

pp. 279-286

Author(s):

Sandhani Saikia ◽

Pratap Jyoti Handique ◽

Mahendra K Modi

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

Genetic Improvement ◽

Crop Improvement ◽

Mean Value ◽

Diversity Analysis ◽

Rice Cultivars ◽

Improvement Program ◽

Information Index ◽

Improvement Programs

Genetic diversity is the source of novel allelic combinations that can be efficiently utilized in any crop improvement program. To facilitate future crop improvement programs in rice, a study was designed to identify the underlying genetic variations in the Sali rice germplasms of Assam using SSR markers. The 129 SSR markers that were used in the study amplified a total of 765 fragments with an average of 5.93 alleles per locus. The Shannon's Information Index was found to be in the range from 0.533 to 1.786. The Polymorphism Information Content (PIC) fell into the range from 0.304 to 0.691 with a mean value of 0.55. The overall FST value was found to be 0.519 that indicated the presence of genetic differentiation amongst the genotypes used in the study. The Sali population was divided into two clusters. The information obtained from the present study will facilitate the genetic improvement of Sali rice cultivars.

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Genetic variability of panicle architecture in traditional finger millets from Koraput valley of Eastern Ghats for crop improvement

10.21203/rs.3.rs-304691/v1 ◽

2021 ◽

Author(s):

Debabrata Panda ◽

Amrita Tanty ◽

Prafulla K Behera ◽

Aloukika Panda ◽

Kartik Lenka

Keyword(s):

Grain Yield ◽

Leaf Area ◽

Finger Millet ◽

Crop Improvement ◽

Principal Component ◽

Eastern Ghats ◽

Panicle Length ◽

Improvement Program ◽

Panicle Number ◽

Panicle Weight

Abstract Panicle phenotyping is most demanding targets in crop breeding programs as panicle is an important plant parts that influences the grain yield. Diversity of panicle traits were analyzed in 20 traditional finger millet genotypes and three hybrid varieties from Koraput valley of Eastern Ghats. Significant difference of panicle characteristics like panicle length, panicle number, panicle weight, flag leaf area, panicle angle and grain yield were observed in experimented finger millet genotypes. In regards to principal component analysis, the first two axis of principal component obtained 52.97% of total variation and reflected huge difference between explored genotypes. Highest positive loading was observed for leaf weight followed by panicle number, panicle weight and panicle length and leaf area and are the major determinant for phenotypic variability. All the studied traits showed maximized phenotypic coefficient of variation (PCV) over genotypic variation (GCV) and lower differences found among them. The genotypes showed maximum broad-sense of heritability value for grain yield (82.27%) and panicle weight (75.96%) compared to other traits. In addition, genetic advance as mean% (GAM) ranged from 11.01–29.26% and high GAM was recorded for panicle angle, leaf area, panicle weight, panicle number and yield. It revealed that these characters can be used as selection criteria in crop improvement program for improving grain yield. Traditional finger millet genotypes such as Bhadi, Murda, Telgu and Chilli recorded superior panicle traits and Limca and Kalia showed better grain yield at par with the hybrids, which can be utilized in future crop improvement program.

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Principal Component Analysis of Physiological Traits Governing Drought Tolerance in Germplasm Accessions of Green Gram [Vigna radiata (L.)]

International Journal of Current Microbiology and Applied Sciences ◽

10.20546/ijcmas.2020.903.338 ◽

2020 ◽

Vol 9 (3) ◽

pp. 2943-2956

Author(s):

M. S. P. Kanavi ◽

N. Nagesha ◽

G. Somu ◽

B. T. Krishnaprasad ◽

S. Rangaiah

Keyword(s):

Principal Component Analysis ◽

Drought Tolerance ◽

Vigna Radiata ◽

Principal Component ◽

Component Analysis ◽

Physiological Traits ◽

Green Gram ◽

Germplasm Accessions

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Association Studies of Yield Contributing and Physiological Traits on Yield in Mungbean (Vigna radiata (L.) Wilczeck) under Summer Condition

International Journal of Bio-resource and Stress Management ◽

10.23910/ijbsm/2017.8.2.1797 ◽

2017 ◽

Vol 8 (2) ◽

pp. 257-260

Author(s):

Sai Rekha ◽

◽

Mohan Reddy ◽

Ravindra Reddy ◽

◽

...

Keyword(s):

Vigna Radiata ◽

Association Studies ◽

Physiological Traits ◽

Summer Condition

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Multivariate analyses of indigenous bread wheat (Triticum aestivum L.) landraces of Oman

Emirates Journal of Food and Agriculture ◽

10.9755/ejfa.2021.v33.i6.2713 ◽

2021 ◽

pp. 483

Author(s):

Ali Hussain Al Lawati ◽

Saleem Kaseemsaheb Nadaf ◽

Nadiya Abubakar Al Saady ◽

Saleh Ali Al Hinai ◽

Almandhar Almamari ◽

...

Keyword(s):

Triticum Aestivum ◽

Bread Wheat ◽

Multivariate Analyses ◽

Crop Improvement ◽

Winter Season ◽

Principal Component ◽

Triticum Aestivum L ◽

Plant Parts ◽

Improvement Programs ◽

D Values

Oman is endowed with enormous diversity of important food crops that have global significance for food security and has ancient history of cultivation of bread wheat (Triticum aestivum L.) with its divergent landraces, which are useful in crop improvement. 55 indigenous Omani accessions conserved at the USDA were evaluated in the winter season (November to April) of the years 2017-2018 and 2018-2019 on loamy soil under sprinklers in augmented design with 5 check varieties in 5 replications following crop husbandry practices as per national recommendations using 9 quantitative (descriptors) and 6 qualitative traits (anthocyanin pigmentation on plant parts). The data on traits were subjected not only for PC values and D values after varimax rotation through Kaiser normalization in Principal Component Analysis (PCA) but also for Agglomerative Hierarchical Clustering (AHC). The results indicated that indigenous bread wheat accessions were significantly different (p>0.05) for all the quantitative traits except number of tillers. The multivariate analyses led to formation of four diverse clusters from PCA analyses corresponding to four quadrants of bi-plot graphs and three clusters from AHC analysis corresponding to main clades of dendrogram. The parents were selected from common accessions of distinct clusters in all the multivariate analyses for hybridization for improving characters of growth for higher yield or productivity with pigmentation on one or two plant parts useful for DUS test of varieties. The indigenous bread wheat landraces / accessions were genetically diverse and have potential for use in national crop improvement programs for earliness and higher grain productivity with distinct identification markers.

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Diversity analysis of green gram (Vigna radiata (L.) Wilczek)through morphological and molecular markers

TURKISH JOURNAL OF AGRICULTURE AND FORESTRY ◽

10.3906/tar-1508-59 ◽

2016 ◽

Vol 40 ◽

pp. 229-240 ◽

Cited By ~ 4

Author(s):

Gunjeet KAUR ◽

Anurabh JOSHI ◽

Devendra JAIN ◽

Ravish CHOUDHARY ◽

Divya VYAS

Keyword(s):

Molecular Markers ◽

Vigna Radiata ◽

Green Gram ◽

Diversity Analysis

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Economic Benefits of Foreign Sourced Germplasm in Domestic Crop Improvement Program: A Case of an Improved Khumal-4 Rice Variety in Nepal

Agronomy Journal of Nepal ◽

10.3126/ajn.v4i0.15533 ◽

2016 ◽

Vol 4 ◽

pp. 107-120 ◽

Cited By ~ 1

Author(s):

D Gauchan ◽

K P Pant ◽

B K Joshi

Keyword(s):

Rice Variety ◽

Crop Improvement ◽

Market Price ◽

Economic Benefits ◽

International Exchange ◽

Improvement Program ◽

Economic Surplus ◽

Rice Area ◽

Multilateral System ◽

Yield Gain

This study assesses economic benefits of international exchange and flow of key rice germplasm in Nepal under globally operated multilateral system of facilitated access using a case of an improved rice variety Khumal-4. Khumal-4 rice is popular and widely grown in mid hills region of Nepal which was developed by crossing a high yielding dwarf foreign sourced germplasm IR-28 with a local Nepali variety Pokharilo Masino. Economic benefits of Khumal-4 rice adoption and impact was analysed using economic surplus model, where additional productivity and profitability gained from developing Khumal-4 was estimated in monetary value in comparison with existing farmers’ variety Pokharilo masino. The finding showed that Khumal-4 covered 9% of rice area in the mid-hills and 7% in the mountains during year 2010-12 years covering about 40 thousand hectares of rice area. Data show that there is a clear yield gain of 1.25 mt per hectare with cost in rice yield equivalent when farmers switch from traditional Pokhareli Masino to improved Khumal-4 variety. Estimation of additional revenue per hectare with total adoption area of Khumal-4 in prevailing market price in Nepal was NRs 1.07 billion (US $ 11 million) per annum. This is reasonable economic benefits obtained annually from flow of foreign sourced genes (IR-28) for the development of an improved Khumal-4 rice variety in Nepal. This finding indicates that access to foreign germplasm is important for ensuring national food security and gaining higher economic benefits in the country.Agronomy Journal of Nepal (Agron JN) vol. 4, 2016

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Principal component and morphological diversity analysis of Job’s-tears (Coix lacryma-jobi L.)

Chilean journal of agricultural research ◽

10.4067/s0718-58392019000100131 ◽

2019 ◽

Vol 79 (1) ◽

pp. 131-143 ◽

Cited By ~ 1

Author(s):

Gang Shen ◽

Teerayoot Girdthai ◽

Zuo Y. Liu ◽

Yu H. Fu ◽

Qing Y. Meng ◽

...

Keyword(s):

Principal Component ◽

Morphological Diversity ◽

Diversity Analysis

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Diversity in jackfruit (Artocarpus heterophyllus Lam.): insights into fruit characterization for the identification of superior genotypes

Plant Genetic Resources ◽

10.1017/s1479262120000325 ◽

2020 ◽

pp. 1-9

Author(s):

M.K. Dhakar ◽

Bikash Das ◽

P.K. Sarkar ◽

Vishal Nath ◽

A.K. Singh ◽

...

Keyword(s):

Agricultural Research ◽

Phenotypic Diversity ◽

Crop Improvement ◽

Fruit Size ◽

Selection Procedure ◽

Principal Component ◽

Eastern Region ◽

Artocarpus Heterophyllus ◽

Commercial Cultivation ◽

Wide Range

Abstract Jackfruit (Artocarpus heterophyllus Lam.) is a nutritious crop from the Moraceae family. The current study was undertaken to evaluate the phenotypic diversity of fruit characteristics using a set of 27 standardized fruit descriptors to describe 28 jackfruit genotypes. These data were used to identify the superior jackfruit genotype that could be used for commercial cultivation. The data revealed a wide range of differences among the genotypes for all the traits studied. Cluster analysis classified the genotypes into four major groups that confirmed the wide diversity among them. Principal component analysis (PCA) also revealed that 80.22% of the variability among the jackfruit genotypes was explained by the first five principal components (PCs). Based on the overall results, the Indian Council of Agricultural Research, Research Complex for Eastern Region (ICAR-RCER) JS 6/3 and 10/3 genotypes were found to be the most promising for table purposes (medium fruit size, pulp percentage >50 and total soluble solid (TSS) >20°Brix), whereas the ICAR-RCER JS 7/7 genotype with large fruit size, pulp percentage >50 and TSS >20°Brix was found to be suitable for processing. The coefficient of variation was the least for traits such as TSS (12.56%) and average seed length (13.56%). Hence, priority may also be given to the TSS and seed size when exploring promising genotypes and operating a selection procedure for crop improvement in jackfruit. The information generated under the study forms a potential baseline for fruit breeders to use in selecting genotypes with superior fruit qualities for jackfruit crop improvement programmes in the future.

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