Sangeeta Lenka
Indian Institute of Soil Science
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Archive | 2012
L. H. Baumgard; Robert P. Rhoads; Michelle L. Rhoads; Nicholas K. Gabler; Jason W. Ross; Aileen F. Keating; Rebbeca L. Boddicker; Sangeeta Lenka; Veerasamy Sejian
Livestock production is the world’s dominant land use, covering about 45% of the Earth’s land surface, and much of it in harsh and variable environments that are unsuitable for other purposes. Climate change (CC) can impact the amount and quality of produce, reliability of production, and the natural resource base on which livestock production depends. Climate is an important factor of agricultural productivity and CC is expected to severely impact livestock production systems. Furthermore, global demand for animal protein will rise as populations become more affluent and eating habits change. Therefore, animal production plays (and will continue to do so) a key role in the food supply chain. While the increasing demand for livestock products offers market opportunities and income for small, marginal, and landless farmers, livestock production globally faces increasing pressure because of negative environmental implications, particularly because of greenhouse gas (GHG) emissions. Agriculture is one sector which is important to consider as it both impacts CC as well as is influenced by CC. Higher temperatures, potentially caused by GHG, would likely result in a decline in dairy production, reduced animal weight gain, reproduction, and lower feed-conversion efficiency in warm regions. Incidence of diseases among livestock and other animals are likely to be affected by CC, since most diseases are transmitted by vectors such as ticks and flies (development stages of ticks and flies are often dependent on ambient temperature). Cattle, goat, horses, and sheep are also vulnerable to an extensive range of nematode worm infections, most of which have their development stages influenced by climatic conditions. CC will have far-reaching consequences for dairy, meat, and wool production systems that rely primarily on grass and rangelands and this will likely detrimentally affect vulnerable pastoral communities which are engaged in extensive livestock production systems in drylands. Although the direct effects of CC on animals are likely to be small (as long as temperature increases do not exceed 3°C), CC will affect animals indirectly through physiological stress and thermoregulatory control, nutrition, and disease stress. Because livestock products are an incredibly important human food, and because animal farming is a significant source of income for millions of farmers, it is necessary to identify CC mitigation strategies and solutions.
Archive | 2015
M. Mohanty; Nishant K. Sinha; Sangeeta Lenka; K. M. Hati; J. Somasundaram; R. Saha; R. K. Singh; R. S. Chaudhary; A. Subba Rao
Soybean [Glycine max (L.) Merrill] has emerged as one of the major rainy season oilseed cash crops in central India. Despite its phenomenal growth in this agro-climatic zone, the average productivity of soybean has remained more or less at 1 t ha−1 due to several abiotic, biotic and socio-economic factors. The climate change (increase in temperature, CO2 concentration and rainfall) will affect this rainfed crop in the future. So, proper management practices which include crop management (use of nutrients, planting time and plant population) will play a major role in future productivity in these regions. Simulation models with demonstrated accuracy and reliability provide an alternative method of investigating both short- and long-term agricultural practices with less time requirements and low cost. They have been evaluated and used as a research tool to study risks associated with various management strategies and to assist in decision-making. Hence, the present study aims at using the APSIM model in the decision-making process to evaluate the impact of climate change on soybean yield.
Soil & Tillage Research | 2016
Anil Kumar Kanthle; N. K. Lenka; Sangeeta Lenka; K. Tedia
Environmental Science and Pollution Research | 2017
Sangeeta Lenka; N. K. Lenka; Amar Bahadur Singh; B. Singh; Jyothi Raghuwanshi
Current Science | 2015
N. K. Lenka; Sangeeta Lenka; A. K. Biswas
Current Science | 2017
N. K. Lenka; S. P. Jaiswal; J. K. Thakur; Sangeeta Lenka; A. Mandal; A. K. Dwivedi; B. L. Lakaria; A. K. Biswas; Arvind K. Shukla; D. S. Yashona
National Academy Science Letters-india | 2015
Sangeeta Lenka; N. K. Lenka; R. C. Singh; M.C. Manna; A. K. Misra; S. K. Rautaray
Journal of the Indian Society of Soil Science | 2014
Sangeeta Lenka; N.K. Lenka; R. K. Singh; R. C. Singh; K. M. Hati; B.L. Lakaria; Jyothi Raghuwanshi
Current Science | 2014
Sangeeta Lenka; N. K. Lenka; R. C. Singh; A. Subba Rao; S. Kundu; Jyothi Raghuwansi; C. P. Patidar
Journal of Agrometeorology | 2017
M. Mohanty; Nishant K. Sinha; Sonali P. McDermid; R. S. Chaudhary; K. Sammireddy; K. M. Hati; J. Somasundaram; Sangeeta Lenka; Rohit K. Patidar; M. Prabhakar; Srinivas Rao Cherukumalli; Ashok K. Patra