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Verma K.,Banasthali | Talukdar A.,Indian Agricultural Research Institute | Shivakumar M.,ICAR Directorate of Soybean Research | Kumar B.,Maize Research Institute Zemun Polje | And 5 more authors.
Indian Journal of Genetics and Plant Breeding

A set of 101 diverse soybean genotypes were biochemically analyzed for trypsin inhibitor (TI) contents, and were characterized with morphological and molecular markers. The TI content in the seeds ranged from 14.65 to 175.52 mg g-1 soymeal. The Indian soybean varieties were found to contain higher amount of TI (58.79-126.78 mg g-1 soymeal) while PI542044, an exotic germplasm was found to contain the least (14.65 mg g-1 soymeal). Morphological characterization with 16 qualitative and quantitative traits revealed significant variations and grouped the genotypes in to three major groups with overall mean dissimilarity value of 0.30. Genetic diversity study conducted with 100 simple sequence repeat (SSR) markers detected higher level of polymorphism (71%). Of the total 221 alleles amplified, 65 were rare (frequency <0.2). The mean polymorphism information content (PIC) of the markers was 0.27 while the value for gene diversity was 0.44. UPGMA-based cluster analysis grouped the genotypes into four major clusters of which I, II and III were occupied by genotypes containing higher and moderate level of TI. PI542044, which was free from Kunitz trypsin inhibitor (KTI), grouped singly. Such genotype would be suitable for use in breeding program directed towards development of varieties with zero KTI. © 2015, Indian Society of Genetics and Plant Breeding. All rights reserved. Source

Chaudhary A.,Devi Ahilya University | Kolhe S.,ICAR Directorate of Soybean Research | Kamal R.,Devi Ahilya University
Computers and Electronics in Agriculture

The paper presents a new hybrid ensemble approach consisting of a combination of machine learning algorithms, a feature ranking method and a supervised instance filter. Its aim is to improve the performance results of machine learning algorithms for multiclass classification problems. The performance of new hybrid ensemble approach is tested for its effectiveness over four standard agriculture multiclass datasets. It performs better on all these datasets. It is applied on multiclass oilseed disease dataset. It is observed that ensemble-Vote performs better than Logistic Regression and Naïve Bayes algorithms. The performance results of hybrid ensemble are compared with ensemble-Vote. The performance results prove that the new hybrid ensemble approach outperforms ensemble-Vote with improved oilseed disease classification accuracy up to 94.73%. © 2016 Elsevier B.V.. Source

Sridhar Y.,ICAR Directorate of Soybean Research | Sharma A.N.,ICAR Directorate of Soybean Research
Legume Research

Flubendiamide 20 WG, a benzenedicarboxamide compound with novel mode of action was evaluated against the major lepidopteron defoliators of soybean namely, Chrysodeixis acuta (Walker), Diachrysia orichalcea (Fabricius), Gesonia gemma Swinhoe, and Spodoptera litura (Fabricius) during 2010 and 2012 rainy seasons under the field conditions at Indore. Three application rates; 50, 60 and 120 g a.i. ha-1of Flubendiamide 20 WG were tested in comparison to the conventional insecticides viz., Endosulfan 35 EC @ 250g a.i. ha-1(2010) and Triazophos 40 EC @ 320 g a.i. ha-1(2012). The application rate of 60 g a.i. ha-1of Flubendiamide 20 WG was found most effective with better incremental cost benefit ratio as compared to the check insecticides. It has provided significantly better protection to soybean crop from the lepidopteron defoliators up to 15 days after spraying. © 2015, Agricultural Research Communication Centre. All Rights Reserved. Source

Kumar V.,ICAR Directorate of Soybean Research | Rani A.,ICAR Directorate of Soybean Research | Rawal R.,ICAR Directorate of Soybean Research | Mourya V.,ICAR Directorate of Soybean Research | And 3 more authors.
Australian Journal of Crop Science

High-isoflavones soybean genotypes are desired in nutraceutical industry. Conversely, low-isoflavones soybean genotypes are preferred to regular soybean in designing soy-based infant formula and in developing soy food products with reduced astringent taste. Concentration of individual form of isoflavones viz. daidzein, glycitein and genistein was determined in the seeds of 46 Indian and exotic soybean genotypes using high performance liquid chromatography. The study exhibited a 9-fold (234.3-2092.5 μg/g of seed) genetic variation for total isoflavones content, with 19 genotypes falling in high isoflavones (>1200 μg/g), and 14 genotypes in low isoflavoes category (<600 μg/g). For developing genotypes with further high or low values of isoflavones, it is critical to hybridize genetically diverse parents with-in high or low-isoflavones genotypes as analysed by HPLC. Genetic diversity analysis carried out using 58 simple sequence (SSR) markers exhibited 144 alleles with polymorphic information content (PIC) varying from 0.00 to 0.773. The pair-wise genetic similarity value between soybean genotypes varied from 0.24 to 0.95. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) allocated the genotypes in 5 clusters with fairly good bootstrap support. Mantel's test for cophenetic correlation with r = 0.810 indicated a good fit of the soybean genotypes in a group in the cluster analysis. Genetically diverse parents identified in low- and high-isoflavones category can be crossed to obtain trangressive segregants. Source

Gireesh C.,ICAR Directorate of Soybean Research | Husain S.M.,ICAR Directorate of Soybean Research | Shivakumar M.,ICAR Directorate of Soybean Research | Satpute G.K.,ICAR Directorate of Soybean Research | And 4 more authors.
Plant Genetic Resources: Characterisation and Utilisation

Soybean is a leading oilseed crop in India, which contains about 40% of protein and 20% of oil. Core collection will accelerate the management and utilization of soybean genetic resources in breeding programmes. In the present study, eight agromorphological traits of 3443 soybean germplasm were analysed for the development of core collection using the principal component score (PCS) strategy and the power core method. The PCS strategy yielded core collection (CC1) of 576 accessions, which accounted for 16.72% of the entire collection (EC). The analysis based on the power core programme resulted in CC2 of 402 accessions, which accounted for 11.67% of the EC. Statistical analysis showed similar trends for the mean and range estimated in both core collections and EC. In addition, the variance, standard deviation and coefficient of variance were in general higher in core collections than in the EC. The correlations observed in the EC in general were preserved in core collections. A total of 311 and 137 unique accessions were found in CC1 and CC2 in addition to 265 accessions that were found to be common in both core collections. These 265 common accessions were the most diverse core sets, which accounted for 7.64% of the EC. We proposed to constitute an integrated core collection (ICC) by integrating both common and unique accessions. The ICC comprised 713 accessions, which accounted for about 20.62% of the EC. Statistical analysis indicated that the ICC captured maximum variation than CC1 and CC2. Therefore, the ICC can be extensively evaluated for a large number of economically important traits for the identification of desirable genotypes and for the development of mini core collection in soybean. Copyright © NIAB 2015 Source

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