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No full textNot AvailableThis is a pre budget discussion for viksit Bharat 2024Not Availabl
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No full textNot AvailableThe precision viticulture aims to optimize grape (Vitis spp. L.) vineyard management; reducing use of resources and environmental
impacts; and maximizing quality yield. New technologies as UAVs, satellites, proximal sensors, variable rate machines (VRT)
and robots are being developed and used more frequently in some parts of the world in recent years. Developments and abilities
of computers, software and informatic systems to read, analyze, process and transfer a huge amount of data are major milestones
in precision viticulture. In addition, different decision support systems (DSSs) for making better crop management decisions
at the right time also assist vine growers. In the fragmented small vineyards in India, relatively cheaper technologies like UAV,
proximal monitoring through various tools, and DSSs developed by the ICAR-NRC for Grapes, Pune, Maharashtra, India
can be used by individual grape grower or through farmers’ cooperatives/groups to make grape cultivation technologically-,
economically- and environmentally- viable. Therefore, current status of precision viticulture technologies and their potential
applications in viticulture, have been discussed.Not Availabl
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No full textNot AvailableThe influence of rootstocks on yield, berry and wine quality and sensory evaluation of Sauvignon
Blanc was studied during 2017-2020 on 7-year-old vines of Sauvignon Blanc at ICAR-National
Research Centre for Grapes, Pune, India. The vines grafted on seven different rootstocks
(Dogridge, Salt Creek, Fercal, 140Ru, SO4, 1103P and 110R) were used for study. The yield and
berry quality parameters viz., number of bunches/vine and yield per vine varied significantly among
the rootstocks. The vines grafted on Salt Creek rootstock recorded maximum average bunch weight (138.23 gm) while, higher number of bunches/vine (52.73) and yield/vine (7.11 kg) was recorded in
110R grafted vines. TSS content in berries was higher (24.240B) and lowest acidity (0.56 g/L) in
Dogridge rootstock grafted vines. Wine composition parameters like glucose (2.71 g/l), malic acid
(3.3 g/l) and total acid (7.30 g/l) was higher in 140Ru rootstock; volatile acid (0.54 g/l) and pH (3.60)
of wine was higher in110R rootstock. The ethanol (14.04 %) in wine was higher in vines grafted on
SO4 rootstock. The wine sensory attributes were also positively influenced using different
rootstocks, wine prepared from Sauvignon Blanc grapes grafted on Fercal rated the highest overall
wine quality followed by 110R and Dogridge rootstocks.Not Availabl
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No full textNot AvailableThe experiment was conducted during three years (2017-2020) to study the effect of rootstocks (140Ru, Dogridge, 110R and
own rooted vines) on growth, yield, quality, and nutrient contents of Fantasy Seedless. The growth parameters such as minimum
days to bud sprout was recorded in own rooted vines. Maximum stock: scion ratio was recorded in vines grafted on 140Ru
rootstock. Average bunch weight, 50 berry weight and yield per vine were maximum in vines grafted on 140Ru rootstock.
The maximum berry diameter and minimum physiological loss in weight was recorded in vines grafted on 140Ru rootstock.
Whereas, maximum TSS and acidity was recorded in own rooted vines. As regards nutrient content viz., maximum phosphorous
was recorded in vines grafted on Dogridge rootstock while, maximum calcium content was recorded in vines grafted on 140Ru
rootstock.Not Availabl
Big Data Analysis and Its Impact on Agriculture
No full textNot AvailableBig data analysis, with its capability to process large and diverse datasets, offers innovative
solutions for sustainable agricultural practices. By leveraging IoT devices for real-time data
collection from fields, soil, plants, and machinery, coupled with cloud-based integration of
additional information like weather data, analysts may derive important insights and
patterns. These insights enable precise farming practices, predictive algorithms for issue
identification, and proactive problem-solving, ultimately leading to improved resource
utilization, minimized environmental impact, and enhanced agricultural productivity. This
article highlights the transformative potential of big data analytics in agriculture,
emphasizing the need for stakeholders to embrace these technologies to address the
challenge of increasing food production sustainably while minimizing environmental
damage.Not Availabl
SLR
No full textNot AvailableSemi-Latin rectangles are row-column designs in which each row-column intersection
has same number of experimental units, say k > 1 and each treatment appears same
number of times in each row and same number of times in each column. Balanced
Semi-Latin rectangles (BSLR) are the subclass of Semi-Latin rectangles (SLR) which
are generalizations of Latin squares and Semi-Latin squares (SLS). Such types of
designs are more useful in various agricultural as well as industrial experiments in
which one of the effects can be consider as column effect and another as row effect,
where the intersection of effects can only accommodate 4 units. This article proposes
an algorithm to construct BSLR designs with a block size of four.Not Availabl
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No full textNot AvailableIn maize cultivation, the fall armyworm (FAW) emerged as a major insect pest, contributing to significant
declines in crop yield. The study aimed to assess the influence of different planting dates and weather
parameters on the incidence of FAW in the kharif and rabi seasons of 2021. A series of six plantings were
undertaken, with the maize single-cross hybrid DHM 121 sown at fortnightly intervals starting from August.
Correlations with weather parameters were made for the FAW larval population and its fecundity across
different planting dates. Rainfall, relative humidity (RH-I & RH-II) and minimum temperature had detrimental
effects on the FAW larva, whereas maximum temperature showed a positive correlation. Conversely, all the
weather parameters studied negatively affected egg-laying by FAW female moths. Hence, the role of weather
parameters on FAW incidence is fundamental, emphasising the necessity for the development of forecasting
models and sustainable management approaches.Not Availabl
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No full textNot AvailableThe Western Indian Ocean (WIO) encompass distinct ecosystems with differing oceanographic and biotic characteristics. This paper provides a comprehensive documentation on the myctophid diversity of WIO at depths between 80 and 600 m, based on field data from 74 stations. A total of 59 species of myctophids were recorded from WIO during the study which includes 6 new records. The new records include Bolinichthys nikolayi, Diaphus theta, Lampanyctus crocodilus, Lampanyctus macdonaldi and Lampadena urophaos from Western Equatorial Indian Ocean, and Diaphus similis from South Eastern Arabian Sea. Based on sampling data and the information from secondary data, the number of myctophid species in the WIO is revalidated to 159 species. The myctophid species from the Western Indian Ocean north of 15°S clearly indicates presence of distinct myctophid assemblages in the study area, representing the eco-regions North Eastern Arabian Sea (NEAS), South eastern Arabian Sea (SEAS) and Western equatorial Indian Ocean (WEIO). Present study reports 16 species from NEAS, 45 species from SEAS and 55 species from WEIO. WEIO accounts for 70–90% of the observed species diversity of WIO. Average dissimilarity in species assemblages between NEAS and SEAS was 64%, between SEAS and EIO 75%, and between NEAS and WEIO was 84%. This is the first detailed report on the myctophid species diversity along the 23.5°N latitude (lat), 55°E longitude (long) and 23.5°S lat, 74°E long. Updated checklist of myctophids in the Western Indian Ocean is also included in the paper.Not Availabl