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Soil quality and microbial diversity in relation to the severity of coffee leaf rust disease in Karnataka, India
(2025-12-01)
Kummur, Poojashree Nagappa
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Thangadurai, Devarajan
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Sangeetha, Jeyabalan
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Panigatti, Simran
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Hospet, Ravichandra
Soil physico-chemical properties significantly influence the quality, growth, productivity, and flavor of coffee. The current study estimates the soil nutritional properties and microbial diversity with the severity of coffee leaf rust disease. A total of twenty-nine localities were surveyed in the major coffee-growing district of Karnataka, mainly Chikkamagaluru, Kodagu, and Hassan, covering the canopies of arabica and robusta coffee plantations. The study on soil quality evaluation determines the sustainability and practices of land management in this region. The physico-chemical properties and microbial diversity of the soil were analyzed. Twenty-nine soil parameters were analyzed using principal component analysis, which accounts for five principal components with eigenvalues>1 explaining 9 % of the total variance. The nine principal components together explain 82.24 % of the total variance. According to K-means clustering, soil analysis can be classified into four clusters. Soil microbial communities primarily control the complex ecosystems of soil, including root-and rhizosphere-associated beneficial microbes, and play a vital role as key components in crop production and sustainable agriculture. The present study revealed that the fertility level of the soil and the diverse taxa of rhizospheric microflora from various soil samples, characterized by an abundant diversity of beneficial microbes, such as Trichoderma sp., Bacillus sp., Penicillium sp., and Pseudomonas sp. Furthermore, this work gives insights into the sustainable soil quality and disease management practices that can help farmers to adopt better soil management practices for improving the quality and quantity of coffee production in Karnataka, India.
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Soil physico-chemical properties and microbial diversity on chilli anthracnose disease severity in Northern Karnataka, India
(2025-06-01)
Panigatti, Simran
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Thangadurai, Devarajan
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Sangeetha, Jeyabalan
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Hospet, Ravichandra
;
Yadav, Guggalada Govardhana
Chilli anthracnose disease causes a huge commercial loss in the globe. Studying soil physico-chemical properties is crucial to understand chilli anthracnose because these properties significantly affect the efficacy of biocontrol agents and herbicides used to manage the disease. This study aimed to evaluate the relative percentage of disease incidence (% DI) of chilli anthracnose in dominant chilli growing areas of Northern Karnataka in India and its relationship to soil properties. The soil physico-chemical (texture, moisture, density, pH, EC, OC, N, P, K, Ca, Mg, S, Zn, Cu, Fe, and B) properties, microbial (fungi and bacteria) diversity of 17 soil samples were analysed by standard protocols and evaluated their correlation with % DI, using Pearson correlation and cluster analysis method. Highest % DI was found in Shira with more value of pH (8.45), and Mg (14.63 meq 100 g-1), whereas in Nela with more value of EC (0.38%), moisture (46%), and Ca (33.83 meq 100 g-1), and also in the regions where the beneficial microbes were less in number (Tegg, Shira, Agad and Nela). The results obtained from Pearson correlation indicated that % DI was positively correlated to moisture (r=0.851**, P=0.01), EC (r=0.488*, P=0.05) and negatively correlated to Pseudomonas sp. (r=-0.322*, P=0.05). The present study provides comprehensive information about the role of physical, chemical and biological properties of soil characteristics responsible for the development of anthracnose disease prevalence and reducing soil quality as well as chilli production under natural conditions.
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Genome shuffling for phenotypic improvement of industrial strains through recursive protoplast fusion technology
(2023-01-01)
Hospet, Ravichandra
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Thangadurai, Devarajan
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Cruz-Martins, Natália
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Sangeetha, Jeyabalan
;
Anu Appaiah, Konerira Aiyappa
Strains’ improvement technology plays an essential role in enhancing the quality of industrial strains. Several traditional methods and modern techniques have been used to further improve strain engineering programs. The advances stated in strain engineering and the increasing demand for microbial metabolites leads to the invention of the genome shuffling technique, which ensures a specific phenotype improvement through inducing mutation and recursive protoplast fusion. In such technique, the selection of multi-parental strains with distinct phenotypic traits is crucial. In addition, as this evolutionary strain improvement technique involves combinative approaches, it does not require any gene sequence data for genome alteration and, therefore, strains developed by this elite technique will not be considered as genetically modified organisms. In this review, the different stages involved in the genome shuffling technique and its wide applications in various phenotype improvements will be addressed. Taken together, data discussed here highlight that the use of genome shuffling for strain improvement will be a plus for solving complex phenotypic traits and in promoting the rapid development of other industrially important strains.
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