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Sándor, R.; Ma, S.; Acutis, M.; Barcza, Z.; Ben Touhami, H.; Doro, L.; Hidy, D.; Köchy, M.; Lellei-Kovács, E.; Minet, J.; Perego, A.; Rolinski, S.; Ruget, F.; Seddaiu, G.; Wu, L.; Bellocchi, G. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Uncertainty in simulating biomass yield and carbon–water fluxes from grasslands under climate change |
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Journal Article |
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Year |
2015 |
Publication |
Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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6 |
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01 |
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49-51 |
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Keywords |
grassland productivity; carbon balance; model simulation; uncertainty; sensitivity |
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2040-4700 |
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CropM, LiveM, ft_macsur |
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MA @ admin @ |
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4651 |
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Özkan, Ş.; Ahmadi, B.V.; Bonesmo, H.; Østerås, O.; Stott, A.; Harstad, O.M. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Impact of animal health on greenhouse gas emissions |
Type |
Journal Article |
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Year |
2015 |
Publication |
Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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6 |
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01 |
Pages |
24-25 |
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Keywords |
dairy; GHG emissions; cull rate; health; HolosNor |
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2040-4700 |
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LiveM, ft_macsur |
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no |
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MA @ admin @ |
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4573 |
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Author |
Lessire, F.; Hornick, J.L.; Minet, J.; Dufrasne, I. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Rumination time, milk yield, milking frequency of grazing dairy cows milked by a mobile automatic system during mild heat stress |
Type |
Journal Article |
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Year |
2015 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal ![sorted by Abbreviated Journal field, ascending order (up)](img/sort_asc.gif) |
Advances in Animal Biosciences |
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6 |
Issue |
01 |
Pages |
12-14 |
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dairy; heat stress; THI; behaviour; milk yield |
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2040-4700 |
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LiveM, ft_macsur |
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no |
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MA @ admin @ |
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4570 |
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Rolinski, S.; Weindl, I.; Heinke, J.; Bodirsky, B.L.; Biewald, A.; Lotze-Campen, H. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Pasture harvest, carbon sequestration and feeding potentials under different grazing intensities |
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Journal Article |
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Year |
2015 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal ![sorted by Abbreviated Journal field, ascending order (up)](img/sort_asc.gif) |
Advances in Animal Biosciences |
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6 |
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01 |
Pages |
43-45 |
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global dynamic vegetation model; LPJmL; grasslands; livestock production |
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CropM, LiveM, ft_macsur |
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no |
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MA @ admin @ |
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4541 |
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Author |
Tao, F.; Zhang, S.; Zhang, Z.; Rötter, R.P. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Temporal and spatial changes of maize yield potentials and yield gaps in the past three decades in China |
Type |
Journal Article |
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Year |
2015 |
Publication |
Agriculture, Ecosystems and Environment |
Abbreviated Journal ![sorted by Abbreviated Journal field, ascending order (up)](img/sort_asc.gif) |
Agric. Ecosyst. Environ. |
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208 |
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Pages |
12-20 |
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Keywords |
agronomic management; climate change; food security; impact; water stress; yield potential; resource use efficiency; northeast china; climate-change; food security; environmental-quality; crop productivity; plain; agriculture; management; intensification |
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Abstract |
The precise spatially explicit knowledge about crop yield potentials and yield gaps is essential to guide sustainable intensification of agriculture. In this study, the maize yield potentials from 1980 to 2008 across the major maize production regions of China were firstly estimated by county using ensemble simulation of a well-validated large scale crop model, i.e., MCWLA-Maize model. Then, the temporal and spatial patterns of maize yield potentials and yield gaps during 1980-2008 were presented and analyzed. The results showed that maize yields became stagnated at 32.4% of maize-growing areas during the period. In the major maize production regions, i.e., northeastern China, the North China Plain (NCP) and southwestern China, yield gap percentages were generally less than 40% and particularly less than 20% in some areas. By contrast, in northern and southern China, where actual yields were relatively lower, yield gap percentages were generally larger than 40%. The areas with yield gap percentages less than 20% and less than 40% accounted for 8.2% and 27.6% of maize-growing areas, respectively. During the period, yield potentials decreased in the NCP and southwestern China due to increase in temperature and decrease in solar radiation; by contrast, increased in northern, northeastern and southeastern China due to increases in both temperature and solar radiation. Yield gap percentages decreased generally by 2% per year across the major maize production regions, although increased in some areas in northern and northeastern China. The shrinking of yield gap was due to increases in actual yields and decreases in yield potentials in the NCP and southwestern China; and due to larger increases in actual yields than in yield potentials in northeastern and southeastern China. The results highlight the importance of sustainable intensification of agriculture to close yield gaps, as well as breeding new cultivars to increase yield potentials, to meet the increasing food demand. (C) 2015 Elsevier B.V. All rights reserved. |
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0167-8809 |
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CropM, ft_macsur |
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Call Number |
MA @ admin @ |
Serial |
4715 |
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Permanent link to this record |