Sustainable Agricultural Systems: Concepts and Definitions

Geng, Shu; Hess, Charles E.; Auburn, Jill Shore

doi:10.1111/j.1439-037x.1990.tb00837.x

Cited by 34 publications

(18 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cropping systems are extremely complex, as there are normally multiple objectives that have to be considered for long‐term sustainability (Geng et al. 1990).…”

Section: Introductionmentioning

confidence: 99%

Application of the Cropping System Model (CSM)‐CROPGRO‐Soybean for Determining Optimum Management Strategies for Soybean in Tropical Environments

Banterng

Hoogenboom

Patanothai

et al. 2010

J Agronomy Crop Science

View full text Add to dashboard Cite

The determination of optimum crop management practices for increasing soybean production can provide valuable information for strategic planning in the tropics. However, this process is time consuming and expensive. The use of a dynamic crop simulation model can be an alternative option to help estimate yield levels under various growing conditions. The objectives of this study were to evaluate the performance of the Cropping System Model (CSM)‐CROPGRO‐Soybean and to determine optimum management practices for soybean for growing conditions in the Phu Pha Man district, Thailand. Data from two soybean experiments that were conducted in 1991 at Chiang Mai University and in 2003 at Khon Kaen University were used to determine the cultivar coefficients for the cultivars CM 60 and SJ 5. The CSM‐CROPGRO‐Soybean model was evaluated with data from two experiments that were conducted at Chiang Mai University. The observed data sets from farmers’ fields located in the Phu Pha Man district were also used for model evaluation. Simulations for different management scenarios were conducted with soil property information for seven different soil series and historical weather data for the period 1972–2003 to predict the optimum crop management practices for soybean production in the Phu Pha Man district. The results of this study indicated that the cultivar coefficients of the two soybean cultivars resulted in simulated growth and development parameters that were in good agreement with almost all observed parameters. Model evaluation showed a good agreement between simulated and observed data for phenology and growth of soybean, and demonstrated the potential of the CSM‐CROPGRO‐Soybean model to simulate growth and yield for local environments, including farmers’ fields, in Thailand. The CSM‐CROPGRO‐Soybean simulations indicated that the optimum planting dates from June 15 to July 15 produced maximum soybean yield in a rainfed environment. However, the planting date December 15 produced the highest yield under quality irrigation. Soybean yield was slightly improved by applying nitrogen at a rate of 30 kg N ha−1 at planting. Soybean yield also improved when the plant density was increased from 20 to 40 plants m−2. The results from this study suggest that the CSM‐CROPGRO‐Soybean model can be a valuable tool in assisting with determining optimum management practices for soybean cropping systems in the Phu Pha Man district and might be applicable to other agricultural production areas in Thailand and southeast Asia.

show abstract

“…Cropping systems are extremely complex, as there are normally multiple objectives that have to be considered for long‐term sustainability (Geng et al. 1990).…”

Section: Introductionmentioning

confidence: 99%

Application of the Cropping System Model (CSM)‐CROPGRO‐Soybean for Determining Optimum Management Strategies for Soybean in Tropical Environments

Banterng

Hoogenboom

Patanothai

et al. 2010

J Agronomy Crop Science

View full text Add to dashboard Cite

show abstract

“…However, this process is time consuming and expensive as many years of experimental trials are required. In addition, cropping systems are extremely complex and many factors have to be considered to achieve long-term sustainability (Geng et al, 1990) in major rice growing areas.…”

Section: Introductionmentioning

confidence: 99%

CSM-CERES-Rice model to determine management strategies for lowland rice production

Vilayvong

Banterng

Patanothai

et al. 2015

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

The cropping system model, namely, the crop environment resource synthesis-rice (CSM-CERES-Rice) model, is a decision supporting tool for the design of crop management. This study aimed to determine management practices for increasing rice (Oryza sativa L.) production in Laos by using the CSM-CERES-Rice model. The model was evaluated with data sets from the TDK8 and TDK11 cultivars in farmers' fields in the Vientiane plain in 2012. Anthesis and harvesting dates, growth and yield for various management scenario combinations (eight transplanting dates × two levels of plant densities × three rates of nitrogen (N) fertilizer application) for both cultivars were simulated by the model from 1980 to 2012. The model evaluation results showed strong agreement between simulated and observed data for days to harvest with a difference within four days. The model provided acceptable accuracy for grain yields with normalized root mean square error values ranging between 1 and 16 %. The results from the model application indicated that TDK8 and TDK11 produced similar yields. Transplanting TDK8 with two plant densities produced similar yields. The highest yield for both cultivars was achieved on the transplanting date of 15 Jan. N-fertilizer application at 60 and 120 kg N ha −1 was able to increase yield for TDK8 by 50 and 87 %, respectively, and for TDK11 by 54 and 70 %, respectively. Rice transplanted on 15 Jan with 5 seedlings hill −1 and N-fertilizer at 120 kg N ha −1 had the highest average yield for both cultivars with 6,460 and 6,351 kg ha −1 for TDK8 and TDK11, respectively. The CSM-CERES-Rice model is an alternative tool in determining crop management practices for rice production.

show abstract

“…The practical result has been termed sustainable agriculture. Although variously defined, sustainable agriculture is generally understood as a compromise between efficiency and profitability of production on the one hand, and on the other, conservation of nonrenewable resources and respect for biological, physical, and social environments (Geng et al 1990;Keeney 1990). …”

Section: Contributions Of Plant Systetnatics To Ecological Agriculturementioning

confidence: 99%

The economic value of plant systematics in Canadian agriculture

Small¹

1993

Can. J. Bot.

View full text Add to dashboard Cite

Agriculture is like a house, resting on a foundation of biological systematics. That foundation is seriously deteriorating, in part because of lack of appreciation of its vital roles and economic relevance. Support for biological sciences is concentrating in seemingly lucrative disciplines, without much realization that the financial benefits often can not be realized without the materials and information provided by systematics. A variety of considerations supports the economic wisdom of investing in systematics research in Canada, most particularly on behalf of the agricultural sector, and suggest that failure to do so could lead to serious, even catastrophic, consequences. In particular, the present scarcity of expertise for identification of vanishing invaluable wild crop germ plasm may permanently penalize both agriculture and society. While it is essential that systematists retain their fundamental orientation to the clarification and cataloging of biological diversity, emphasis on the useful roles played and products produced is both an economic necessity and a social responsibility. Key words: plant, systematics, taxonomy, agriculture, economic.

show abstract

Sustainable Agricultural Systems: Concepts and Definitions

Cited by 34 publications

References 10 publications

Application of the Cropping System Model (CSM)‐CROPGRO‐Soybean for Determining Optimum Management Strategies for Soybean in Tropical Environments

Application of the Cropping System Model (CSM)‐CROPGRO‐Soybean for Determining Optimum Management Strategies for Soybean in Tropical Environments

CSM-CERES-Rice model to determine management strategies for lowland rice production

The economic value of plant systematics in Canadian agriculture

Contact Info

Product

Resources

About