Integrated data across multiple and diverse disciplines are essential for developing a sustainable food system
Integrated data across multiple and diverse disciplines are essential for developing a sustainable food system
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跨多个不同学科的综合数据对于发展可持续粮食系统至关重要
DOI:
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发表时间:
2019
影响因子:
3.9
通讯作者:
N. Fukagawa
中科院分区:
文献类型:
--
作者:
J. Finley;N. Fukagawa
The USDA Agricultural Research Service (ARS) conducts research of value to US agriculture and the food supply. Most research conducted in the past has been reductionist in nature and primarily one- or two-dimensional. However, the colliding challenges of feeding a burgeoning world population, maintaining a food supply that both provides sufficient nutrition without contributing to obesity and other chronic diseases and addresses the impact of agriculture on, as well as by, the environment, have changed the complexity of the task. Today's challenges have become multidimensional, requiring systems-type approaches across multiple and diverse disciplines. These projects cut across traditional boundaries and seek to optimize agricultural productivity within the context of reducing environmental impact and maintaining or increasing nutritional value that ultimately impacts public health. In short, new projects must take a systems approach, and the synergy gained from this approach is only made possible by simultaneous modeling of disparate data sets, demanding a new approach to data.
DOI:
10.1056/nejmsa1012065
发表时间:
2011-03-03
期刊:
The New England journal of medicine
影响因子:
--
作者:
Zarin DA;Tse T;Williams RJ;Califf RM;Ide NC
通讯作者:
Ide NC
DOI:
10.1093/jnci/88.21.1550
发表时间:
1996-11-06
期刊:
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子:
--
作者:
Omenn, GS;Goodman, GE;Hammar, S
通讯作者:
Hammar, S
影响因子:
64.8
作者:
Myers SS;Zanobetti A;Kloog I;Huybers P;Leakey AD;Bloom AJ;Carlisle E;Dietterich LH;Fitzgerald G;Hasegawa T;Holbrook NM;Nelson RL;Ottman MJ;Raboy V;Sakai H;Sartor KA;Schwartz J;Seneweera S;Tausz M;Usui Y
通讯作者:
Usui Y