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The present investigation was conducted at Dry Land Research Area, CCS Haryana Agricultural University, Hisar during kharif, 2022. Data were recorded on 17 quantitative traits for genetic variability and association studies among morpho-biochemical traits using 50 cluster bean genotypes. High PCV, GCV, heritability along with high genetic advance as percent of mean were observed in no. of pods per plant, no. of clusters on main stem, no. of clusters on side branches, no. of clusters per plant and no. of branches per plant. Seed yield per plant was positively and significantly associated with no. of pods per plant, no. of clusters on side branches, no. of clusters per plant, no. of pods per cluster on main stem, no. of pods per cluster on side branches, 100 seed weight and gum content. Path analysis revealed that the no. of pods per plant, 100-seed weight, no. of branches per plant, no. of pods per cluster on main stem, days to maturity, days to 50% flowering and gum content would be selected as important ones towards seed yield as they showed high positive direct effect on seed yield [ABSTRACT FROM AUTHOR]

To estimate the extent of genetic diversity of 56 Pearl millet genotypes for eight morphological characters, an experiment was carried out at the research farm of Forage Section, Department of Genetics & Plant Breeding, CCS HAU, Hisar in kharif 2020-21. In Principal component analysis (PCA) the eigenvalues were used to determine how many factors to retain. In the present study, the first four principal components (PCs) had eigen values greater than one, and they cumulatively explained 71.3% of the total variation present in the original dataset. The first principal component (PC 1) explained 20.30% of the total variability, while the PC 2, PC 3, and PC 4 explained 19.2%, 17.3%, and 14.5% of the total variability, respectively. O 54, O 34, O 25, O 15, and O 40 were found as the topranking genotypes upon PCA analysis with high positive PC1 scores. These genotypes, showed highest overall mean values for the traits positively related to grain yield and its attributing traits. These findings can be useful in formulating breeding strategies for future hybridization programs for yield improvement and are appropriate for classification of diversity among pearl millet germplasm. [ABSTRACT FROM AUTHOR]

India is the major producer of cluster bean (Cyamopsis tetragonoloba L. Taub.) contributing about 82 per cent of the total production of the world and bacterial leaf blight is one of its most destructive disease caused by Xanthomonas axonopodis pv. cyamopsidis. It causes yield loss of 50-70 per cent of cluster bean under severe conditions, if appropriate measures to combat the disease are not taken timely. The disease effects crop productivity in all growing regions of the world. In Haryana state, the bacterial blight has been recognized as most important limiting factor in reducing the yield. It is both seed borne and air borne in nature and affects all above ground parts of plant. Chemicals have played significant role in management of the disease but their use in excessive amount led to detrimental effect on the ecosystem such as residual toxicity, harmful effect on living beings and the whole environment, especially on the beneficial predators, parasites and microorganisms. Keeping this in view, the present investigation has been devised on disease management using various biorational components during 2020-2021 at Hisar. It was observed that Azadirachta indica was found most effective with 18.04 per cent growth inhibition followed by Zingiber officinale under in vitro conditions. Under screen house conditions, minimum per cent disease incidence (PDI) of 26.67 per cent was observed in treatment of Azadirachta indica @ 25 per cent w/v followed by treatments of Zingiber officinale @ 25 per cent w/v. [ABSTRACT FROM AUTHOR]

Cluster bean [Cyamopsis tetragonoloba (L.) Taub] is an important leguminous crop of India, accounting for nearly 80% of the global production. The seeds of this economically important crop are used in various industrial applications worldwide like, textile, cosmetics, pharmaceuticals, mining, petroleum, natural gas, oil industries etc. Despite such high economic value, the productivity of this crop is quite low. One such major constraint in the production of cluster bean is bacterial leaf blight disease caused by Xanthomonas campestris pv. Cyamopsidis. Yield losses of up to 58–68% have been reported in case of severe infestation. Therefore, there is a need to formulate suitable breeding strategies to overcome the yield losses. But the lack of complete understanding of underlying genomic base in cluster bean is a major constraint in developing high-yielding and resistant cultivars/varieties. Here we report the first linkage map construction at the level of interspecific polymorphism using F3-4 segregating population based on Cyamopsis's the basis of microsatellite markers of cluster bean and other legume crops which can further advance the breeding programs. An interspecific cross was developed in our laboratory using a bacterial blight resistant wild species (C. serrata Schinz.) and a moderately susceptible with high gum content cultivar (HG563). A total of 177 SSRs comprising EST-SSRs from cluster bean and ESTs as well genomic SSRs from other legumes were used in molecular analysis and 38 SSRs were found polymorphic. Linkage analysis revealed that nine markers (CBN21, CBN16, CBN17, CTF234, CBN03, CBN11, CTN15, CTN14, and GDR22) formed a single linkage group spanning 190 cM of cluster bean genome. Four minor QTLs were identified in interspecific cross for plant height (qPH1.1), hundred seed weight (qHSW1.1), disease resistance (qPDI1.1), and gum content (qGC1.1) mapped on single linkage group at 39.41, 123.41, 112.41 and 102.41 cM, respectively. The LOD values for all four QTLs ranged from 3.3 to 15.5. (above the threshold LOD > 3.0). Marker interval of CTN15 and CTN14 spanning 35.4–190.0 cM distance harboured all the four QTLs. Interestingly, plant height QTL was found only 4.8 cM apart from CTN 15 SSR marker, which can be exploited further for cluster bean improvement programs in future. [ABSTRACT FROM AUTHOR]