Harshavardan J Hilli

Mr. Harshavardan J Hilli


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2022 in Cereal Research Communications
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HHHarshavardan J Hilli
Harshavardan J Hilli
RKRahul Kapoor
Rahul Kapoor
ASAshlesha Singla
Ashlesha Singla
PSPriti Sharma
Priti Sharma
PSPuja Srivastava
Puja Srivastava

10 May 2023 in Current Agriculture Research Journal
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Journal Article
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HHHarshavardan J Hilli
Harshavardan J Hilli
RKRahul Kapoor
Rahul Kapoor
The history of the modern oat may be traced to its intergeneric contamination of wheat and barley in southwest Asia, particularly in Mesopotamia and due to its use in only forage crop rather than a staple food in most of the countries it’s been neglected. There are just a few economically cultivated species of this self-pollinated crop, including A. sativa, A. nuda, and A. byzantina. After rice, wheat, maize, sorghum, and barley, oat production comes in at number six and in terms of oat production (FAO 2019). The present review was undertaken in order to address the present scenario of oats utilization and its consideration in research. The work majorly focussed in present are β glucan (due to its nutritional status) and disease resistance (majorly powdery mildew, pyrenophora leaf spot and crown rust) throughout the world but some drawbacks is that oats is usually neglected because of its limited use as forage value and also of its hexaploid nature. The different breeding methods employed till date for crop improvement are described in the chapter viz, traditional methods, diversity studies, mapping strategies, Marker aided breeding Association mapping, Genomic assisted breeding etc. Some of the qtls mapped by various researchers for different traits is also been listed in this article. Apart from these studies, the novel techniques which are still lacking in oats has much scope now to get it utilized through various improvement programmes like in other cereal crops.

25 July 2022 in Indian Journal Of Agricultural Research
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HHHarshavardan J Hilli
Harshavardan J Hilli
SIShobha Immadi
Shobha Immadi
Background: Sunflower crop being a highly cross pollinated with high yield potential, can be grown in all seasons with its suitability in variety of inter and series cropping systems due to its photo insensitive nature and can be adapted to a variety of environmental conditions also. So keeping in mind of its potential and future use, research was conducted with available lines to study PCA and its diversity that might be used in hybridization programmes. Methods: The 45 lines of sunflower were grown in a randomised block design with three replications at the Research Farm, Department of Genetics and Plant Breeding, College of Agriculture, Vijayapur during summer 2018-19 for study on principal component analysis and diversity analysis. Result: At the genotypic stage, the analysis of variance showed highly significant variations among the genotypes for all of the characters. Whereas Divergence analysis using principal component analysis and hierarchical cluster analysis has been shown to be effective in determining which genetically distant parents should be used for hybridization. Divergence in genotypes were divided into nine major groups or clusters and out of nine components, four components had more than one eigen value (Table-2). The first principal component explained 33.40 per cent of total variation, while the second, third, fourth, fifth, sixth, seventh, eighth and ninth principal components explained 23.30, 14.10, 11.19, 6.30, 4.90, 3.60, 1.90 and 0.60 per cent, respectively.

28 July 2023 in Asian Journal of Dairy and Food Research
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HHHarshavardan J Hilli
Harshavardan J Hilli
RKRahul Kapoor
Rahul Kapoor
In India, mixed farming and cattle raising is an essential elements of rural life and these practices are connected with the social structure in cultural, religious and economic ways. India’s production of fodder is very unevenly distributed and how this resource is used depends on the breed of cattle raised, the climate, the socioeconomic context and the crop-growing patterns. Fodder from cultivated regions is regularly fed to cattle and buffalo, with some harvested grasses and top feeds added as supplements. On the other hand within the land area of just 2.3 per cent, India is home to 16.8 per cent of the world’s population and nearly 20 per cent of the world’s cattle. India homes cattle (16%), buffalo (55%), goats (20%) and sheep (5%) of worlds total livestock population respectively. This fact makes it more cumbersome to meet the forage demand by livestock, thus shift in paradigm and opportunity in near future is about to hike for fodder crops with their potentiality in production per unit area. The present Indian scenario of fodder crops in comparison with the livestock population is being described in this article along with the net deficit and surplus availability of green and dry fodder. Further, this review also includes the opening of a new way for oats to contribute to fodder production. The challenges facing India for fodder production and its near opportunity to open up and evolve with various methodologies to tackle the present fodder demand by enhancing the production is described in detail in an article.

12 August 2022 in International Journal of Plant & Soil Science
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HHHarshavardan J Hilli
Harshavardan J Hilli
In the past ten years, ground and aerial platforms with several sensors have been rapidly adopted for phenotyping diverse biotic, abiotic stressors and other characters during the crop plant's growth stages. An increase in yield achieved from traditional breeding programs worldwide are no longer sufficient to meet the projected demand for the three major cereals like Rice, Wheat and Maize. Thus the phenomics application which includes high throughput phenotyping (HTP) i.e artificial intelligence based techniques should be bought over traditional phenotyping in order to meet the needy demands of traditional ones. Also Artificial intelligence (AI)-based data analysis techniques can increase the reliability of diagnoses and, as a result, be included into instruments for effective treatment. These methods find pertinent data for use in plant breeding and pathology activities by using feature extraction, identification, classification, and prediction criteria as well as for precision breeding. This approach has various applications in various agriculture disciplines. The main steps under such techniques includes: Image acquisition, Preprocessing of images, segmentation of images, Image Representation and Description and Image recognition. The use of these helps to speed up genetic progress and lessen the phenotyping drawbacks.

16 December 2021 in Indian Journal Of Agricultural Research
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Journal Article
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HHHarshavardan J Hilli
Harshavardan J Hilli
RKRahul Kapoor
Rahul Kapoor
Background: Oat is mostly neglected crop for hybrid development due to its floral structure which results in high damage rate during hybridisation. Due to the cumbersome in acquiring a sufficient number of hybrids and subsequent backcrosses are difficult that lead to lack of much inheritance studies in Oats. Methods: The procedure for crossing used was almost identical to that used by oat breeders which was conducted for 2 years viz., 2019-20 and 2020-21 at Forage Station, Punjab Agriculrural University, Ludhiana. Result: The experiment was conducted to know the seed set percent in oat cultivars. Since the oat flower is fragile compared other cereals and it is easily harmed during the emasculation and pollination process. The seed set percent observed was only 12 and 10 percent in the year 2019-20 and 2020-21, respectively.