GENCALC: Software to Facilitate the Use of Crop Models for Analyzing Field Experiments

Hunt, L. A.; Pararajasingham, S.; Jones, James W.; Hoogenboom, Gerrit; Imamura, D. T.; Ogoshi, Richard

doi:10.2134/agronj1993.00021962008500050025x

Cited by 208 publications

(106 citation statements)

References 2 publications

Supporting

Mentioning

101

Contrasting

Unclassified

Order By: Relevance

“…We obtained datasets for rice from surveys, interviews, observations, sample analysis, and data systematically collected by private farms. The cultivar coefficients of the crops for DSSAT were estimated with the Genetic Coefficient Estimator [46] based on long-term data obtained from private farms. The coefficients of species and ecotype were left unchanged [47].…”

Section: Methodsmentioning

confidence: 99%

Perceptions of Present and Future Climate Change Impacts on Water Availability for Agricultural Systems in the Western Mediterranean Region

Nguyen

Mula

Cortignani

et al. 2016

Water

View full text Add to dashboard Cite

Many Mediterranean countries have experienced water shortages during the last 20 years and future climate change projections foresee further pressure on water resources. This will have significant implications for irrigation water management in agricultural systems in the future. Through qualitative and quantitative empirical research methods carried out on a case study on four Mediterranean farming systems located in Oristano, Italy, we sought to understand the relationship between farmers' perceptions of climate change (i.e., increased temperature and decreased precipitation) and of present and future water availability for agriculture as forecasted by climatic and crop models. We also explored asymmetries between farmers' perceptions and present and future climate change and water scenarios as well as factors influencing perceptions. Our hypotheses were that farmers' perceptions are the main drivers of actual water management practices and that sustainable practices can emerge from learning spaces designed from the understanding of the gaps between perceptions and scientific evidences. Results showed that most farmers perceived that climate change is occurring or will occur in their area. They also perceived that there has been an increased temperature trend, but also increased precipitation. Therefore, they are convinced that they have and will have enough irrigation water for agriculture in the near future, while climate change projections foresee an increasing pressure on water resources in the Mediterranean region. Such results suggest the need for (i) irrigation management policies that take into account farmers' perceptions in order to promote virtuous behaviors and improve irrigation water use efficiency; (ii) new, well-designed learning spaces to improve the understanding on climate change expectations in the near future in order to support effective adaptive responses at the farm and catchment scales.

show abstract

Section: Methodsmentioning

confidence: 99%

Perceptions of Present and Future Climate Change Impacts on Water Availability for Agricultural Systems in the Western Mediterranean Region

Nguyen

Mula

Cortignani

et al. 2016

Water

View full text Add to dashboard Cite

show abstract

“…DSSAT crop models require genetic coefficients, which are specific for each cultivar to properly describe the processes related to growth development and grain production. These coefficients allow the model to simulate performance of diverse genotypes under different soil, weather and management conditions (Hunt et al, 1993). Since neither of the cultivars was previously introduced in DSSAT, we created them in the genetic file (MZCER045.CUL) of DSSAT-CSM.…”

Section: Methodsmentioning

confidence: 99%

Impacts of climate and farming management on maize yield in southernTanzania

Mtongori¹,

Stordal²,

Benestad³

et al. 2015

Afr. Crop Sci. J.

View full text Add to dashboard Cite

Climate is one of the major factors controlling agricultural productivity in Africa. Changes in meteorological variables such as rising temperatures, changes in precipitation and increase in atmospheric carbon dioxide levels affect crop production. The objective of this study was to evaluate the impacts of climate change and variability, and crop management on yield of maize (Zea mays L.) grown in the southern part of Tanzania. Using the Decision Support System for Agrotechnology Transfer Cropping System Model (DSSAT-CSM), a series of sensitivity experiments were conducted to evaluate the response of maize yields to a range of principal changes in rainfall and temperatures. The sensitivities were estimated under two management practices, one with traditional farming practices, and the other with application of external farm inputs. Dry-spells during the growing season caused yield losses of all cultivars of up to 43% for the prolonged dry-spells of 20 days. Increased rainfall intensity, during vegetative and reproductive stages, caused the decrease in yield of 5 and 2%, respectively. A 50-100% decrease in rainfall intensity during the growing season caused a loss of yields between 40-100%. Increased or decreased temperatures from the baseline values reduced or increased days to flowering and to physiological maturity, respectively. In addition, a decrease in temperature from the baseline values to 2 o C had an overall impact of yields loss for all cultivars. However, yields increased with an increase of temperature by up to 2.5 °C (UH6303 and H628) and 4.5 °C (PAN691). Growing seasons with lower total rainfall (<50 mm) and temperature (<1°C) from their climatological values, caused yield loss as much as 71 and 15%, respectively for PAN691 cultivar. Generally, the impacts depended on the management, cultivar, soil characteristics, magnitude, timing and duration of the stress.

show abstract

“…Crop genetic input data which explain how the life cycle of a wheat cultivar responds to its environment have been developed for cultivars PBW 343 and PBW 542, which are one of the commonly grown varieties in Ludhiana 26 ( Table 1). The coefficients were derived iteratively using Hunt's method 27 .…”

Section: Genetic Coefficient Modulementioning

confidence: 99%

Dry Biomass Partitioning of Growth and Development in Wheat (<i>Triticum aestivum</i> L.) Crop Using CERES-Wheat in Different Agro Climatic Zones of India

Singh¹,

Singh²,

Gill³

et al. 2017

Current Science

View full text Add to dashboard Cite

The CERES-wheat crop growth simulation model has been calibrated and evaluated for two wheat cultivars (PBW 343 and PBW 542) for three sowing dates (30 October, 15 November and 30 November) during 2008-09 and 2009-10 to study partitioning of leaf, stem and grains at Ludhiana, Punjab, India. The experimental data and simulated model data were analysed on partitioning of leaf, stem and grains, and validated. It was found that the model closely simulated the field data from phenological events and biomass. Simulated biological and grain yield was in accordance with-field experiment crop yield within the acceptable range. The correlation coefficient between field-experiment and simulated yield data and biomass data varied significantly from 0.81 and 0.96. The model showed overestimation from field-experimental yield for both cultivars. The cultivar PBW 343 gave higher yield than cultivar PBW 542 on 15 November during both years. The model performance was evaluated and it was found that CERES-wheat model could predict growth parameters like days to anthesis and maturity, biomass and yield with reasonably good accuracy (error less than 8%) and also correlation coefficient between field-experimental and simulated yield data and biomass data varied from 0.94 and 0.95. The results showed that the correlation coefficient between simulated and districts yield varied from 0.41 to 0.78 and also significantly at all six selected districts. The results may be used to improve and evaluate the current practices of crop management at different growth stages of the crop to achieve better production potential.

show abstract

GENCALC: Software to Facilitate the Use of Crop Models for Analyzing Field Experiments

Cited by 208 publications

References 2 publications

Perceptions of Present and Future Climate Change Impacts on Water Availability for Agricultural Systems in the Western Mediterranean Region

Perceptions of Present and Future Climate Change Impacts on Water Availability for Agricultural Systems in the Western Mediterranean Region

Impacts of climate and farming management on maize yield in southernTanzania

Dry Biomass Partitioning of Growth and Development in Wheat (<i>Triticum aestivum</i> L.) Crop Using CERES-Wheat in Different Agro Climatic Zones of India

Contact Info

Product

Resources

About