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https://www.readbyqxmd.com/read/28922774/crop-model-assisted-phenomics-and-genome-wide-association-study-for-climate-adaptation-of-indica-rice-1-phenology
#1
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
#2
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
#3
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...
September 13, 2017: 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
#4
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
#5
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...
August 11, 2017: 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
#6
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
#7
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
#8
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...
July 25, 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
#9
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
#10
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
https://www.readbyqxmd.com/read/28710999/recent-changes-in-county-level-corn-yield-variability-in-the-united-states-from-observations-and-crop-models
#11
Guoyong Leng
The United States is responsible for 35% and 60% of global corn supply and exports. Enhanced supply stability through a reduction in the year-to-year variability of US corn yield would greatly benefit global food security. Important in this regard is to understand how corn yield variability has evolved geographically in the history and how it relates to climatic and non-climatic factors. Results showed that year-to-year variation of US corn yield has decreased significantly during 1980-2010, mainly in Midwest Corn Belt, Nebraska and western arid regions...
December 31, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28702039/ceres-maize-model-for-determining-the-optimum-planting-dates-of-early-maturing-maize-varieties-in-northern-nigeria
#12
Adnan A Adnan, Jibrin M Jibrin, Alpha Y Kamara, Bassam L Abdulrahman, Abdulwahab S Shaibu, Ismail I Garba
Field trials were carried out in the Sudan Savannah of Nigeria to assess the usefulness of CERES-maize crop model as a decision support tool for optimizing maize production through manipulation of plant dates. The calibration experiments comprised of 20 maize varieties planted during the dry and rainy seasons of 2014 and 2015 at Bayero University Kano and Audu Bako College of Agriculture Dambatta. The trials for model evaluation were conducted in 16 different farmer fields across the Sudan (Bunkure and Garun-Mallam) and Northern Guinea (Tudun-Wada and Lere) Savannas using two of the calibrated varieties under four different sowing dates...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28701815/next-generation-crop-models-a-modular-approach-to-model-early-vegetative-and-reproductive-development-of-the-common-bean-phaseolus-vulgaris-l
#13
C Hwang, M J Correll, S A Gezan, L Zhang, M S Bhakta, C E Vallejos, K J Boote, J A Clavijo-Michelangeli, J W Jones
The next generation of gene-based crop models offers the potential of predicting crop vegetative and reproductive development based on genotype and weather data as inputs. Here, we illustrate an approach for developing a dynamic modular gene-based model to simulate changes in main stem node numbers, time to first anthesis, and final node number on the main stem of common bean (Phaseolus vulgaris L.). In the modules, these crop characteristics are functions of relevant genes (quantitative trait loci (QTL)), the environment (E), and QTL × E interactions...
July 2017: Agricultural Systems
https://www.readbyqxmd.com/read/28701814/modelling-the-impacts-of-pests-and-diseases-on-agricultural-systems
#14
M Donatelli, R D Magarey, S Bregaglio, L Willocquet, J P M Whish, S Savary
The improvement and application of pest and disease models to analyse and predict yield losses including those due to climate change is still a challenge for the scientific community. Applied modelling of crop diseases and pests has mostly targeted the development of support capabilities to schedule scouting or pesticide applications. There is a need for research to both broaden the scope and evaluate the capabilities of pest and disease models. Key research questions not only involve the assessment of the potential effects of climate change on known pathosystems, but also on new pathogens which could alter the (still incompletely documented) impacts of pests and diseases on agricultural systems...
July 2017: Agricultural Systems
https://www.readbyqxmd.com/read/28672243/evidence-for-a-weakening-strength-of-temperature-corn-yield-relation-in-the-united-states-during-1980-2010
#15
Guoyong Leng
Temperature is known to be correlated with crop yields, causing reduction of crop yield with climate warming without adaptations or CO2 fertilization effects. The historical temperature-crop yield relation has often been used for informing future changes. This relationship, however, may change over time following alternations in other environmental factors. Results show that the strength of the relationship between the interannual variability of growing season temperature and corn yield (RGST_CY) has declined in the United States between 1980 and 2010 with a loss in the statistical significance...
December 15, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28659583/trait-based-model-development-to-support-breeding-programs-a-case-study-for-salt-tolerance-and-rice
#16
Livia Paleari, Ermes Movedi, Roberto Confalonieri
Eco-physiological models are increasingly used to analyze G × E × M interactions to support breeding programs via the design of ideotypes for specific contexts. However, available crop models are only partly suitable for this purpose, since they often lack clear relationships between parameters and traits breeders are working on. Taking salt stress tolerance and rice as a case study, we propose a paradigm shift towards the building of ideotyping-specific models explicitly around traits involved in breeding programs...
June 28, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28626887/using-numerical-plant-models-and-phenotypic-correlation-space-to-design-achievable-ideotypes
#17
Victor Picheny, Pierre Casadebaig, Ronan Trépos, Robert Faivre, David Da Silva, Patrick Vincourt, Evelyne Costes
Numerical plant models can predict the outcome of plant traits modifications resulting from genetic variations, on plant performance, by simulating physiological processes and their interaction with the environment. Optimization methods complement those models to design ideotypes, that is, ideal values of a set of plant traits, resulting in optimal adaptation for given combinations of environment and management, mainly through the maximization of performance criteria (e.g. yield and light interception). As use of simulation models gains momentum in plant breeding, numerical experiments must be carefully engineered to provide accurate and attainable results, rooting them in biological reality...
June 18, 2017: Plant, Cell & Environment
https://www.readbyqxmd.com/read/28587758/epigenetics-for-plant-improvement-current-knowledge-and-modeling-avenues
#18
REVIEW
Philippe Gallusci, Zhanwu Dai, Michel Génard, Arnaud Gauffretau, Nathalie Leblanc-Fournier, Céline Richard-Molard, Denis Vile, Sophie Brunel-Muguet
Epigenetic variations are involved in the control of plant developmental processes and participate in shaping phenotypic plasticity to the environment. Intense breeding has eroded genetic diversity, and epigenetic diversity now emerge as a new source of phenotypic variations to improve adaptation to changing environments and ensure the yield and quality of crops. Here, we review how the characterization of the stability and heritability of epigenetic variations is required to drive breeding strategies, which can be assisted by process-based models...
July 2017: Trends in Plant Science
https://www.readbyqxmd.com/read/28542198/optimization-of-black-box-models-with-uncertain-climatic-inputs-application-to-sunflower-ideotype-design
#19
Victor Picheny, Ronan Trépos, Pierre Casadebaig
Accounting for the interannual climatic variations is a well-known issue for simulation-based studies of environmental systems. It often requires intensive sampling (e.g., averaging the simulation outputs over many climatic series), which hinders many sequential processes, in particular optimization algorithms. We propose here an approach based on a subset selection in a large basis of climatic series, using an ad-hoc similarity function and clustering. A non-parametric reconstruction technique is introduced to estimate accurately the distribution of the output of interest using only the subset sampling...
2017: PloS One
https://www.readbyqxmd.com/read/28540573/optimization-of-multi-environment-trials-for-genomic-selection-based-on-crop-models
#20
R Rincent, E Kuhn, H Monod, F-X Oury, M Rousset, V Allard, J Le Gouis
We propose a statistical criterion to optimize multi-environment trials to predict genotype × environment interactions more efficiently, by combining crop growth models and genomic selection models. Genotype × environment interactions (GEI) are common in plant multi-environment trials (METs). In this context, models developed for genomic selection (GS) that refers to the use of genome-wide information for predicting breeding values of selection candidates need to be adapted. One promising way to increase prediction accuracy in various environments is to combine ecophysiological and genetic modelling thanks to crop growth models (CGM) incorporating genetic parameters...
August 2017: TAG. Theoretical and Applied Genetics. Theoretische und Angewandte Genetik
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