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Climate Change Is Likely To Increase The Development Rate Of Anthelmintic Resistance In Equine Cyathostomins In New Zealand, Christian W. Sauermann, Dave M. Leathwick, Mark Lieffering, Martin K. Nielsen

Maxwell H. Gluck Equine Research Center Faculty Publications

Climate change is likely to influence livestock production by increasing the prevalence of diseases, including parasites. The traditional practice of controlling nematodes in livestock by the application of anthelmintics is, however, increasingly compromised by the development of resistance to these drugs in parasite populations. This study used a previously developed simulation model of the entire equine cyathostomin lifecycle to investigate the effect a changing climate would have on the development of anthelmintic resistance. Climate data from six General Circulation Models based on four different Representative Concentration Pathways was available for three New Zealand locations. These projections were used to estimate …

Socio‐Ecological Influences On Grazier Uptake Of Seasonal Climate Forecasts On The Rangelands In Australia, Nadine A. Marshall, A. J. Ash, I. J. Gordon, C. K. Mcdonald

IGC Proceedings (1997-2023)

No abstract provided.

Process‐Based Modelling Of Timothy Survival In Winter, Marcel Van Oijen, S. M. Thorsen, A. H. M. C. Schapendonk, Mats Höglind

IGC Proceedings (1997-2023)

No abstract provided.

The Climate Change Challenge For Managed Grasslands In New Zealand, Judy Lawrence

IGC Proceedings (1997-2023)

No abstract provided.

Change In Migration And Pasture Utilization By Brokpa Pastoral Nomads: A Sustainable Adaptation Strategy For Climate Sensitive Arunachal Pradesh!?, Sanjit Maiti, S. K. Jha, Sanchita Garai, Vijay Paul, G. Krishnan, A. K. Bera, D. Bhattacharya, S. M. Deb

IGC Proceedings (1997-2023)

The north-eastern states of India specially Arunachal Pradesh, one of the bio-diversity hotspot, is expected to be greatly affected by climate change. Climate change will not only adversely impact the biodiversity of Arunachal Pradesh, but also affect the livelihood of local communities as they fully dependent on the natural resources. The Monpa is a primitive tribe inhabiting parts of West Kameng and Tawang district of Arunachal Pradesh. The pastoral nomad of the Monpa tribe is popularly known as Brokpa. Transhumance system of livestock mainly yak (Poephagus grunniens L.) rearing is their main source of livelihood. In recent past, …

Cultivating The Next Generation Of Pasture Scientists In Australia, Sarita Jane Bennett

IGC Proceedings (1997-2023)

Current students coming through agricultural faculties in Australian universities have grown up in an era of low wool and meat prices, the introduction and acceptance of no-till farming as the norm and a general decrease in mixed farming landscapes in favour of continuous cropping. Since the collapse of the wool reserve price scheme in 1991, wool prices declined and income on wool producing farms followed suit. R & D during this period has also declined from 5-4% agricultural GDP in 1986 to only 3% in 2005 and has favoured research related to cropping rather than that related to pastures and …

Breeding Wheat For Resilience To Increasing Nighttime Temperatures, Kathleen Russell, David A. Van Sanford

Plant and Soil Sciences Faculty Publications

Increases in global mean temperature since 1960 are largely attributed to the rise in minimum nighttime temperatures thereby decreasing diurnal temperature variation. Increased night temperatures are known to affect crop development. A multi-year study investigating the effects of increased night temperatures on soft red winter wheat (Triticum aestivum L.) varieties was conducted during the 2015-2016 growing seasons at the University of Kentucky Spindletop Research Farm in Lexington, KY. Thirty-six cultivars and breeding lines were chosen based on their genotypes at photoperiod and vernalization loci. This material was planted in a randomized complete block experiment with two replications and two …

Identifying Target Traits For Forage Grass Breeding Under A Changing Climate In Norway Using The Basgra Model, Mats Höglind, Tomas Persson, Marcel Van Oijen

IGC Proceedings (1997-2023)

Grass-based dairy and livestock production constitutes the most important agricultural sector in Norway in economic terms, and 60% of the agricultural land in Norway is used for grass production. Climate change may have consider-able impact on the survival and productivity of grasslands, with consequences for the local supply of forage to live-stock, farmers’ income and the supply of dairy- and livestock-based food products to the global market. Farmers can adapt to climate change by choosing different grass species or cultivars or by changing management practices such as the timing and frequency of harvests. Plant breeders select new cultivars of grasses …

Data Integration And Modelling For The Assessment Of Future Climate Change Impacts On Natural Pasturelands Of The Alps, Camilla Dibari, Giovanni Argenti, Marco Moriondo, Marco Bindi

IGC Proceedings (1997-2023)

Evidence shows that in the last century in the Alps area warming was roughly three times the global average and, according to future projections, this trend is expected to worsen in the next decades. Moreover, the species-rich permanent grasslands characterizing the marginal areas of the Alpine landscape are acknowledged as very sensitive and vulnerable ecosystems to climate change (IPCC 2007). So far several studies have investigated the climate effects only on specific Alpine grassland species at a very small scale, while a comprehensive assessment of the impact of climate change on Alpine mountain grasslands distribution and composition at a territorial …

Climate Changes And Trends In Phenology Of Woody And Herb Plants In Inner Mongolia, 1981–2010, Yurong Wei, Yanfang Cao, Zhicun Wang, Xuebiao Pan

IGC Proceedings (1997-2023)

The phenology of plants is a comprehensive reflection of seasonal climatological and ecological conditions and may be used as an indicator of climate change (Thomas et al. 2000; Volker and Annette 2004; Li et al. 2005). Analysis was made of the dates of sprouting, flowering and defoliating of woody and herb plants observed on 24 Agricultural Meteorological Stations in Inner Mongolia, China from 1980 to 2010. To assess the potential future change data was analysed for the 2011 to 2050 period using the England Hadley Climate Centre scenario (Wei et al. 2012).

Precipitation Pattern Change Influence On Vegetation Of Xilingol Grassland In Inner Mongolia, China, Wulanbter, Yurong Wei, Pengtao Liu, Xirong Jiang

IGC Proceedings (1997-2023)

The Xilingol grassland covers the region bounded by 41’09”–45’31” N and 111’14”–118’25” E. It is representative of a typical steppe in northern China, with the major native grass species present being Aneurolepidium chinense and Stipa spp. However these grasslands have become increasingly degraded due to desertification and/or the impacts of human activities resulting in the previous climax plant community becoming substantially altered.

In the Xilingol League most weather station started observations around 1960 (earliest 1952), however, grassland phenology and biomass measurement only started in 1980. The growing season runs from the 1st May to the 30th September. Between 1961-2010, the …

Assessing Resilience Of Pasture Production To Climatic Changes, Brendan R. Cullen, Richard P. Rawnsley, Richard J. Eckard

IGC Proceedings (1997-2023)

Increasing temperatures and atmospheric carbon dioxide (CO₂) concentrations, together with changes to rainfall patterns, will influence seasonal pasture production; however climate change projections for south eastern Australia are uncertain (CSIRO and BoM 2007). Despite this, climate change impact assessments generally rely on specific climate projections, but in this study an alternative approach was developed to test the resilience of production to incremental changes in climate.

Impact On Grassland Biomass From Climate Warming And Drying, Suying Li, Li Yang

IGC Proceedings (1997-2023)

It is becoming increasingly urgent to assess the impact of climate change on grassland biomass due to the important role these grasslands play in animal production. The typical steppe in Xilinhot of Inner Mongolia is the most representative vegetation types in the temperate grasslands of the northern China. One means to determine climate change is using the Aridity index (AI, also referred to as the dry degree of climate in this article) that is based on both temperature and precipitation (Arora 2002; Bannayan et al.. 2010; Nastos et al. 2012). The objective of this paper was to indicate how …

Comparative Analysis Of Climate Change Adaptation Options Across The Southern Australian Livestock Industry, Afshin Ghahramani, Andrew D. Moore

IGC Proceedings (1997-2023)

Climate change is predicted to have a substantial negative effect on the productivity of grasslands across southern Australia (Moore and Ghahramani 2013). We used the GRAZPLAN biophysical simulation models to assess several possible grassland management and animal genetic improvement adaptations under SRES A2 climate change scenario. Simulations spanned the five dimensions of geography, time, global circulation models, enterprise, and adaptations. Impact of climate change was predicted to reduce profitability of livestock industry by 46%, 58%, and 72% at 2030, 2050 and 2070, respectively. Increasing soil fertility could return the average profitability of five livestock enterprises to its historical level at …

Modelling Adaptation And Mitigation Strategies For Southern Livestock Industries Of Australia, Richard J. Eckard, Richard P. Rawnsley, Brendan R. Cullen, Matthew Bell, Karen Christie

IGC Proceedings (1997-2023)

Climate change will impact on the Australian grazing industries both through mitigation policies and the impact of warmer temperatures, increased atmospheric CO₂ and changed rainfall patterns (Cullen et al. 2009; Eckard et al. 2010). Mechanistic models are useful tools to inform our understanding of the complex interactions between future climates and the soil, plant, animal and management in livestock production systems.

This paper summarises the results of a number of whole farm systems modelling studies investigating likely impacts of climate change, adaptation options and emissions implications for livestock production in southern Australia.

Challenges And Opportunities For Improving Eco-Efficiency Of Tropical Forage-Based Systems To Mitigate Greenhouse Gas Emissions, Michael Peters, Mario Herrero, Myles Fish, Karl-Heinz Erb, Idupulapati M. Rao, Guntur V. Subbarao, Aracely Castro, Jacobo Arango, Julian Chará, Enrique Murgueitio, Rein Van Der Hoek, Peter Läderach, Glenn Hyman, Jeimar Tapasco, Bernardo Strassburg, Birthe K. Paul, Alvaro Rincón, Rainer Schultze-Kraft, Steve Fonte, Timothy Searchinger

IGC Proceedings (1997-2023)

Forage-based livestock production plays a key role in national and regional economies, for food security and poverty alleviation. Livestock production is also considered as a major contributor to agricultural GHG emissions, however. While demand for livestock products is predicted to continue to increase, there is political and societal pressure both to reduce environmental impacts and to convert some of the pasture area to alternative uses such as crop production and environmental conservation. Thus it is essential to develop approaches for sustainable intensification of livestock systems to mitigate GHG emissions, addressing biophysical, socioeconomic and policy challenges. This paper highlights the potential …

Variance Decomposition Of Forecasted Water Budget And Sediment Processes Under Changing Climate In Fluvial And Fluviokarst Systems, Nabil Al Aamery

Theses and Dissertations--Civil Engineering

Variance decomposition is the partitioning of different factors affecting the variance structure of a response variable. The present research focuses on future streamflow and sediment transport processes projections as the response variables. The authors propose using numerous climate factors and hydrological modeling factors that can cause any response variable to vary from historic to future conditions in any given watershed system. The climate modeling factors include global climate model, downscaling method, emission scenario, project phase, bias correction. The hydrological modeling factor includes hydrological model parametrization, and meteorological variable inclusion in the analysis. This research uses a wide spectrum of data, …