keyword
MENU ▼
Read by QxMD icon Read
search

"crop model*"

keyword
https://www.readbyqxmd.com/read/29423733/effectiveness-of-time-of-sowing-and-cultivar-choice-for-managing-climate-change-wheat-crop-phenology-and-water-use-efficiency
#1
Qunying Luo, Garry O'Leary, James Cleverly, Derek Eamus
Climate change (CC) presents a challenge for the sustainable development of wheat production systems in Australia. This study aimed to (1) quantify the impact of future CC on wheat grain yield for the period centred on 2030 from the perspectives of wheat phenology, water use and water use efficiency (WUE) and (2) evaluate the effectiveness of changing sowing times and cultivars in response to the expected impacts of future CC on wheat grain yield. The daily outputs of CSIRO Conformal-Cubic Atmospheric Model for baseline and future periods were used by a stochastic weather generator to derive changes in mean climate and in climate variability and to construct local climate scenarios, which were then coupled with a wheat crop model to achieve the two research aims...
February 8, 2018: International Journal of Biometeorology
https://www.readbyqxmd.com/read/29396464/predicting-optimum-crop-designs-using-crop-models-and-seasonal-climate-forecasts
#2
D Rodriguez, P de Voil, D Hudson, J N Brown, P Hayman, H Marrou, H Meinke
Expected increases in food demand and the need to limit the incorporation of new lands into agriculture to curtail emissions, highlight the urgency to bridge productivity gaps, increase farmers profits and manage risks in dryland cropping. A way to bridge those gaps is to identify optimum combination of genetics (G), and agronomic managements (M) i.e. crop designs (GxM), for the prevailing and expected growing environment (E). Our understanding of crop stress physiology indicates that in hindsight, those optimum crop designs should be known, while the main problem is to predict relevant attributes of the E, at the time of sowing, so that optimum GxM combinations could be informed...
February 2, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29370389/corrigendum-crop-model-assisted-phenomics-and-genome-wide-association-study-for-climate-adaptation-of-indica-rice-2-thermal-stress-and-spikelet-sterility
#3
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
No abstract text is available yet for this article.
January 23, 2018: Journal of Experimental Botany
https://www.readbyqxmd.com/read/29370388/corrigendum-crop-model-assisted-phenomics-and-genome-wide-association-study-for-climate-adaptation-of-indica-rice-1-phenology
#4
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
No abstract text is available yet for this article.
January 23, 2018: Journal of Experimental Botany
https://www.readbyqxmd.com/read/29302132/improving-the-use-of-crop-models-for-risk-assessment-and-climate-change-adaptation
#5
Andrew J Challinor, Christoph Müller, Senthold Asseng, Chetan Deva, Kathryn Jane Nicklin, Daniel Wallach, Eline Vanuytrecht, Stephen Whitfield, Julian Ramirez-Villegas, Ann-Kristin Koehler
Crop models are used for an increasingly broad range of applications, with a commensurate proliferation of methods. Careful framing of research questions and development of targeted and appropriate methods are therefore increasingly important. In conjunction with the other authors in this special issue, we have developed a set of criteria for use of crop models in assessments of impacts, adaptation and risk. Our analysis drew on the other papers in this special issue, and on our experience in the UK Climate Change Risk Assessment 2017 and the MACSUR, AgMIP and ISIMIP projects...
January 2018: Agricultural Systems
https://www.readbyqxmd.com/read/29291557/a-regional-scale-modeling-framework-combining-biogeochemical-model-with-life-cycle-and-economic-analysis-for-integrated-assessment-of-cropping-systems
#6
Seyed Mohammad Hossein Tabatabaie, John P Bolte, Ganti S Murthy
The goal of this study was to integrate a crop model, DNDC (DeNitrification-DeComposition), with life cycle assessment (LCA) and economic analysis models using a GIS-based integrated platform, ENVISION. The integrated model enables LCA practitioners to conduct integrated economic analysis and LCA on a regional scale while capturing the variability of soil emissions due to variation in regional factors during production of crops and biofuel feedstocks. In order to evaluate the integrated model, the corn-soybean cropping system in Eagle Creek Watershed, Indiana was studied and the integrated model was used to first model the soil emissions and then conduct the LCA as well as economic analysis...
December 29, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29284201/australian-wheat-production-expected-to-decrease-by-the-late-21st-century
#7
Bin Wang, De Li Liu, Garry J O'Leary, Senthold Asseng, Ian Macadam, Rebecca Lines-Kelly, Xihua Yang, Anthony Clark, Jason Crean, Timothy Sides, Hongtao Xing, Chunrong Mi, Qiang Yu
Climate change threatens global wheat production and food security, including the wheat industry in Australia. Many studies have examined the impacts of changes in local climate on wheat yield per hectare, but there has been no assessment of changes in land area available for production due to changing climate. It is also unclear how total wheat production would change under future climate when autonomous adaptation options are adopted. We applied species distribution models to investigate future changes in areas climatically suitable for growing wheat in Australia...
December 28, 2017: Global Change Biology
https://www.readbyqxmd.com/read/29245185/contribution-of-crop-model-structure-parameters-and-climate-projections-to-uncertainty-in-climate-change-impact-assessments
#8
Fulu Tao, Reimund P Rötter, Taru Palosuo, C G H Díaz-Ambrona, M Inés Mínguez, Mikhail A Semenov, Kurt Christian Kersebaum, Claas Nendel, Xenia Specka, Holger Hoffmann, Frank Ewert, Anaelle Dambreville, Pierre Martre, Lucía Rodríguez, Margarita Ruiz-Ramos, Thomas Gaiser, Jukka G Höhn, Tapio Salo, Roberto Ferrise, Marco Bindi, Davide Cammarano, Alan H Schulman
Climate change impact assessments are plagued with uncertainties from many sources, such as climate projections or the inadequacies in structure and parameters of the impact model. Previous studies tried to account for the uncertainty from one or two of these. Here, we developed a triple-ensemble probabilistic assessment using seven crop models, multiple sets of model parameters, and eight contrasting climate projections together to comprehensively account for uncertainties from these three important sources...
December 15, 2017: Global Change Biology
https://www.readbyqxmd.com/read/29196806/sensitivity-and-requirement-of-improvements-of-four-soybean-crop-simulation-models-for-climate-change-studies-in-southern-brazil
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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"