keyword
MENU ▼
Read by QxMD icon Read
search

"crop model*"

keyword
https://www.readbyqxmd.com/read/29196806/sensitivity-and-requirement-of-improvements-of-four-soybean-crop-simulation-models-for-climate-change-studies-in-southern-brazil
#1
R Battisti, P C Sentelhas, K J Boote
Crop growth models have many uncertainties that affect the yield response to climate change. Based on that, the aim of this study was to evaluate the sensitivity of crop models to systematic changes in climate for simulating soybean attainable yield in Southern Brazil. Four crop models were used to simulate yields: AQUACROP, MONICA, DSSAT, and APSIM, as well as their ensemble. The simulations were performed considering changes of air temperature (0, + 1.5, + 3.0, + 4.5, and + 6.0 °C), [CO2] (380, 480, 580, 680, and 780 ppm), rainfall (- 30, - 15, 0, + 15, and + 30%), and solar radiation (- 15, 0, + 15), applied to daily values...
December 2, 2017: International Journal of Biometeorology
https://www.readbyqxmd.com/read/29110424/increasing-drought-and-diminishing-benefits-of-elevated-carbon-dioxide-for-soybean-yields-across-the-us-midwest
#2
Zhenong Jin, Elizabeth A Ainsworth, Andrew D B Leakey, David B Lobell
Elevated atmospheric CO2 concentrations ([CO2 ]) are expected to increase C3 crop yield through the CO2 fertilization effect (CFE) by stimulating photosynthesis and by reducing stomatal conductance and transpiration. The latter effect is widely believed to lead to greater benefits in dry rather than wet conditions, although some recent experimental evidence challenges this view. Here we used a process-based crop model, the Agricultural Production Systems sIMulator (APSIM), to quantify the contemporary and future CFE on soybean in one of its primary production area of the US Midwest...
November 7, 2017: Global Change Biology
https://www.readbyqxmd.com/read/29110072/the-genetic-and-molecular-basis-of-crop-height-based-on-a-rice-model
#3
REVIEW
Fang Liu, Pandi Wang, Xiaobo Zhang, Xiaofei Li, Xiaohong Yan, Donghui Fu, Gang Wu
This review presents genetic and molecular basis of crop height using a rice crop model. Height is controlled by multiple genes with potential to be manipulated through breeding strategies to improve productivity. Height is an important factor affecting crop architecture, apical dominance, biomass, resistance to lodging, tolerance to crowding and mechanical harvesting. The impressive increase in wheat and rice yield during the 'green revolution' benefited from a combination of breeding for high-yielding dwarf varieties together with advances in agricultural mechanization, irrigation and agrochemical/fertilizer use...
November 6, 2017: Planta
https://www.readbyqxmd.com/read/29107963/sensitivity-analysis-of-the-aquacrop-and-safye-crop-models-for-the-assessment-of-water-limited-winter-wheat-yield-in-regional-scale-applications
#4
Paolo Cosmo Silvestro, Stefano Pignatti, Hao Yang, Guijun Yang, Simone Pascucci, Fabio Castaldi, Raffaele Casa
Process-based models can be usefully employed for the assessment of field and regional-scale impact of drought on crop yields. However, in many instances, especially when they are used at the regional scale, it is necessary to identify the parameters and input variables that most influence the outputs and to assess how their influence varies when climatic and environmental conditions change. In this work, two different crop models, able to represent yield response to water, Aquacrop and SAFYE, were compared, with the aim to quantify their complexity and plasticity through Global Sensitivity Analysis (GSA), using Morris and EFAST (Extended Fourier Amplitude Sensitivity Test) techniques, for moderate to strong water limited climate scenarios...
2017: PloS One
https://www.readbyqxmd.com/read/29099780/maize-cropping-systems-mapping-using-rapideye-observations-in-agro-ecological-landscapes-in-kenya
#5
Kyalo Richard, Elfatih M Abdel-Rahman, Sevgan Subramanian, Johnson O Nyasani, Michael Thiel, Hosein Jozani, Christian Borgemeister, Tobias Landmann
Cropping systems information on explicit scales is an important but rarely available variable in many crops modeling routines and of utmost importance for understanding pests and disease propagation mechanisms in agro-ecological landscapes. In this study, high spatial and temporal resolution RapidEye bio-temporal data were utilized within a novel 2-step hierarchical random forest (RF) classification approach to map areas of mono- and mixed maize cropping systems. A small-scale maize farming site in Machakos County, Kenya was used as a study site...
November 3, 2017: Sensors
https://www.readbyqxmd.com/read/29093514/causes-of-variation-among-rice-models-in-yield-response-to-co2-examined-with-free-air-co2-enrichment-and-growth-chamber-experiments
#6
Toshihiro Hasegawa, Tao Li, Xinyou Yin, Yan Zhu, Kenneth Boote, Jeffrey Baker, Simone Bregaglio, Samuel Buis, Roberto Confalonieri, Job Fugice, Tamon Fumoto, Donald Gaydon, Soora Naresh Kumar, Tanguy Lafarge, Manuel Marcaida Iii, Yuji Masutomi, Hiroshi Nakagawa, Philippe Oriol, Françoise Ruget, Upendra Singh, Liang Tang, Fulu Tao, Hitomi Wakatsuki, Daniel Wallach, Yulong Wang, Lloyd Ted Wilson, Lianxin Yang, Yubin Yang, Hiroe Yoshida, Zhao Zhang, Jianguo Zhu
The CO2 fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms of this uncertainty have been lacking. Here, we studied causes of uncertainty among 16 crop models in predicting rice yield in response to elevated [CO2] (E-[CO2]) by comparison to free-air CO2 enrichment (FACE) and chamber experiments. The model ensemble reproduced the experimental results well. However, yield prediction in response to E-[CO2] varied significantly among the rice models...
November 1, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29076597/do-all-leaf-photosynthesis-parameters-of-rice-acclimate-to-elevated-co2-elevated-temperature-and-their-combination-in-face-environments
#7
Chuang Cai, Gang Li, Hailong Yang, Jiaheng Yang, Hong Liu, Paul C Struik, Weihong Luo, Xinyou Yin, Lijun Di, Xuanhe Guo, Wenyu Jiang, Chuanfei Si, Genxing Pan, Jianguo Zhu
Leaf photosynthesis of crops acclimates to elevated CO2 and temperature, but studies quantifying responses of leaf photosynthetic parameters to combined CO2 and temperature increases under field conditions are scarce. We measured leaf photosynthesis of rice cultivars Changyou 5 and Nanjing 9108 grown in two free-air CO2 enrichment (FACE) systems, respectively, installed in paddy fields. Each FACE system had four combinations of two levels of CO2 (ambient and enriched) and two levels of canopy temperature (no warming and warmed by 1...
October 27, 2017: Global Change Biology
https://www.readbyqxmd.com/read/29062320/description-and-codification-of-miscanthus-%C3%A3-giganteus-growth-stages-for-phenological-assessment
#8
Mauricio D Tejera, Emily A Heaton
Triploid Miscanthus × giganteus (Greef et Deu. ex Hodkinson et Renvoize) is a sterile, perennial grass used for biomass production in temperate environments. While M. × giganteus has been intensively researched, a scale standardizing description of M. × giganteus morphological stages has not been developed. Here we provide such a scale by adapting the widely-used Biologische Bundesanstalt, Bundessortenamt, CHemische Industrie (BBCH) scale and its corresponding numerical code to describe stages of morphological development in M...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/29016928/integrating-plant-science-and-crop-modeling-assessment-of-the-impact-of-climate-change-on-soybean-and-maize-production
#9
Nándor Fodor, Andrew Challinor, Ioannis Droutsas, Julian Ramirez-Villegas, Florian Zabel, Ann-Kristin Koehler, Christine H Foyer
Increasing global CO2 emissions have profound consequences for plant biology, not least because of direct influences on carbon gain. However, much remains uncertain regarding how our major crops will respond to a future high CO2 world. Crop model inter-comparison studies have identified large uncertainties and biases associated with climate change. The need to quantify uncertainty has drawn the fields of plant molecular physiology, crop breeding and biology, and climate change modeling closer together. Comparing data from different models that have been used to assess the potential climate change impacts on soybean and maize production, future yield losses have been predicted for both major crops...
November 1, 2017: Plant & Cell Physiology
https://www.readbyqxmd.com/read/28989943/is-current-irrigation-sustainable-in-the-united-states-an-integrated-assessment-of-climate-change-impact-on-water-resources-and-irrigated-crop-yields
#10
Elodie Blanc, Justin Caron, Charles Fant, Erwan Monier
While climate change impacts on crop yields has been extensively studied, estimating the impact of water shortages on irrigated crop yields is challenging because the water resources management system is complex. To investigate this issue, we integrate a crop yield reduction module and a water resources model into the MIT Integrated Global System Modeling framework, an integrated assessment model linking a global economic model to an Earth system model. We assess the effects of climate and socioeconomic changes on water availability for irrigation in the U...
August 2017: Earth's Future
https://www.readbyqxmd.com/read/28922774/crop-model-assisted-phenomics-and-genome-wide-association-study-for-climate-adaptation-of-indica-rice-1-phenology
#11
Michael Dingkuhn, Richard Pasco, Julie M Pasuquin, Jean Damo, Jean-Christophe Soulié, Louis-Marie Raboin, Julie Dusserre, Abdoulaye Sow, Baboucarr Manneh, Suchit Shrestha, Alpha Balde, Tobias Kretzschmar
Phenology and time of flowering are crucial determinants of rice adaptation to climate variation. A previous study characterized flowering responses of 203 diverse indica rices (the ORYTAGE panel) to ten environments in Senegal (six sowing dates) and Madagascar (two years and two altitudes) under irrigation in the field. This study used the physiological phenology model RIDEV V2 to heuristically estimate component traits of flowering such as cardinal temperatures (base temperature (Tbase) and optimum temperature), basic vegetative phase, photoperiod sensitivity and cold acclimation, and to conduct a genome-wide association study for these traits using 16 232 anonymous single-nucleotide polymorphism (SNP) markers...
July 10, 2017: Journal of Experimental Botany
https://www.readbyqxmd.com/read/28922773/crop-model-assisted-phenomics-and-genome-wide-association-study-for-climate-adaptation-of-indica-rice-2-thermal-stress-and-spikelet-sterility
#12
Michael Dingkuhn, Richard Pasco, Julie Mae Pasuquin, Jean Damo, Jean-Christophe Soulié, Louis-Marie Raboin, Julie Dusserre, Abdoulaye Sow, Baboucarr Manneh, Suchit Shrestha, Tobias Kretzschmar
Low night and high day temperatures during sensitive reproductive stages cause spikelet sterility in rice. Phenotyping of tolerance traits in the field is difficult because of temporal interactions with phenology and organ temperature differing from ambient. Physiological models can be used to separate these effects. A 203-accession indica rice diversity panel was phenotyped for sterility in ten environments in Senegal and Madagascar and climate data were recorded. Here we report on sterility responses while a companion study reported on phenology...
July 10, 2017: Journal of Experimental Botany
https://www.readbyqxmd.com/read/28917167/virtual-water-trade-patterns-in-relation-to-environmental-and-socioeconomic-factors-a-case-study-for-tunisia
#13
Hatem Chouchane, Maarten S Krol, Arjen Y Hoekstra
Growing water demands put increasing pressure on local water resources, especially in water-short countries. Virtual water trade can play a key role in filling the gap between local demand and supply of water-intensive commodities. This study aims to analyse the dynamics in virtual water trade of Tunisia in relation to environmental and socio-economic factors such as GDP, irrigated land, precipitation, population and water scarcity. The water footprint of crop production is estimated using AquaCrop for six crops over the period 1981-2010...
February 1, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/28851625/reconciling-the-mitscherlich-s-law-of-diminishing-returns-with-liebig-s-law-of-the-minimum-some-results-on-crop-modeling
#14
Iuri E P Ferreira, Silvio S Zocchi, Daniel Baron
Reliable fertilizer recommendations depend on the correctness of the crop production models fitted to the data, but generally the crop models are built empirically, neglecting important physiological aspects related with response to fertilizers, or they are based in laws of plant mineral nutrition seen by many authors as conflicting theories: the Liebig's Law of the Minimum and Mitscherlich's Law of Diminishing Returns. We developed a new approach to modelling the crop response to fertilizers that reconcile these laws...
August 26, 2017: Mathematical Biosciences
https://www.readbyqxmd.com/read/28806544/decadal-analysis-of-impact-of-future-climate-on-wheat-production-in-dry-mediterranean-environment-a-case-of-jordan
#15
Prakash N Dixit, Roberto Telleria, Amal N Al Khatib, Siham F Allouzi
Different aspects of climate change, such as increased temperature, changed rainfall and higher atmospheric CO2 concentration, all have different effects on crop yields. Process-based crop models are the most widely used tools for estimating future crop yield responses to climate change. We applied APSIM crop simulation model in a dry Mediterranean climate with Jordan as sentinel site to assess impact of climate change on wheat production at decadal level considering two climate change scenarios of representative concentration pathways (RCP) viz...
January 1, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/28804490/a-vision-for-incorporating-environmental-effects-into-nitrogen-management-decision-support-tools-for-u-s-maize-production
#16
Kamaljit Banger, Mingwei Yuan, Junming Wang, Emerson D Nafziger, Cameron M Pittelkow
Meeting crop nitrogen (N) demand while minimizing N losses to the environment has proven difficult despite significant field research and modeling efforts. To improve N management, several real-time N management tools have been developed with a primary focus on enhancing crop production. However, no coordinated effort exists to simultaneously address sustainability concerns related to N losses at field- and regional-scales. In this perspective, we highlight the opportunity for incorporating environmental effects into N management decision support tools for United States maize production systems by integrating publicly available crop models with grower-entered management information and gridded soil and climate data in a geospatial framework specifically designed to quantify environmental and crop production tradeoffs...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28798370/responses-of-crop-yield-growth-to-global-temperature-and-socioeconomic-changes
#17
Toshichika Iizumi, Jun Furuya, Zhihong Shen, Wonsik Kim, Masashi Okada, Shinichiro Fujimori, Tomoko Hasegawa, Motoki Nishimori
Although biophysical yield responses to local warming have been studied, we know little about how crop yield growth-a function of climate and technology-responds to global temperature and socioeconomic changes. Here, we present the yield growth of major crops under warming conditions from preindustrial levels as simulated by a global gridded crop model. The results revealed that global mean yields of maize and soybean will stagnate with warming even when agronomic adjustments are considered. This trend is consistent across socioeconomic assumptions...
August 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28744682/environmental-risk-assessment-of-blight-resistant-potato-use-of-a-crop-model-to-quantify-nitrogen-cycling-at-scales-of-the-field-and-cropping-system
#18
Mark W Young, Ewen Mullins, Geoffrey R Squire
Environmental risk assessment of GM crops in Europe proceeds by step-wise estimation of effect, first in the plant, then the field plot (e.g. 10-100 m(-2)), field (1000-10,000 m(-2)) and lastly in the environment in which the crop would be grown (100-10,000 km(2)). Processes that operate at large scales, such as cycling of carbon (C) and nitrogen (N), are difficult to predict from plot scales. Here, a procedure is illustrated in which plot scale data on yield (offtake) and N inputs for blight resistant (both GM and non-GM) and blight-susceptible potato are upscaled by a model of crop resource use to give a set of indicators and metrics defining N uptake and release in realistic crop sequences...
September 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28733785/fertiliser-management-effects-on-dissolved-inorganic-nitrogen-in-runoff-from-australian-sugarcane-farms
#19
Grant Fraser, Ken Rohde, Mark Silburn
Dissolved inorganic nitrogen (DIN) movement from Australian sugarcane farms is believed to be a major cause of crown-of-thorns starfish outbreaks which have reduced the Great Barrier Reef coral cover by ~21% (1985-2012). We develop a daily model of DIN concentration in runoff based on >200 field monitored runoff events. Runoff DIN concentrations were related to nitrogen fertiliser application rates and decreased after application with time and cumulative rainfall. Runoff after liquid fertiliser applications had higher initial DIN concentrations, though these concentrations diminished more rapidly in comparison to granular fertiliser applications...
August 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28714956/the-uncertainty-of-crop-yield-projections-is-reduced-by-improved-temperature-response-functions
#20
Enli Wang, Pierre Martre, Zhigan Zhao, Frank Ewert, Andrea Maiorano, Reimund P Rötter, Bruce A Kimball, Michael J Ottman, Gerard W Wall, Jeffrey W White, Matthew P Reynolds, Phillip D Alderman, Pramod K Aggarwal, Jakarat Anothai, Bruno Basso, Christian Biernath, Davide Cammarano, Andrew J Challinor, Giacomo De Sanctis, Jordi Doltra, Elias Fereres, Margarita Garcia-Vila, Sebastian Gayler, Gerrit Hoogenboom, Leslie A Hunt, Roberto C Izaurralde, Mohamed Jabloun, Curtis D Jones, Kurt C Kersebaum, Ann-Kristin Koehler, Leilei Liu, Christoph Müller, Soora Naresh Kumar, Claas Nendel, Garry O'Leary, Jørgen E Olesen, Taru Palosuo, Eckart Priesack, Ehsan Eyshi Rezaei, Dominique Ripoche, Alex C Ruane, Mikhail A Semenov, Iurii Shcherbak, Claudio Stöckle, Pierre Stratonovitch, Thilo Streck, Iwan Supit, Fulu Tao, Peter Thorburn, Katharina Waha, Daniel Wallach, Zhimin Wang, Joost Wolf, Yan Zhu, Senthold Asseng
Increasing the accuracy of crop productivity estimates is a key element in planning adaptation strategies to ensure global food security under climate change. Process-based crop models are effective means to project climate impact on crop yield, but have large uncertainty in yield simulations. Here, we show that variations in the mathematical functions currently used to simulate temperature responses of physiological processes in 29 wheat models account for >50% of uncertainty in simulated grain yields for mean growing season temperatures from 14 °C to 33 °C...
July 17, 2017: Nature Plants
keyword
keyword
118370
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"