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Andrej A Arsovski, Joseph Zemke, Benjamin D Haagen, Soo-Hyung Kim, Jennifer L Nemhauser
Crop biomass and yield are tightly linked to how the light signaling network translates information about the environment into allocation of resources, including photosynthates. Once activated, the phytochrome (phy) class of photoreceptors signal and re-deploy carbon resources to alter growth, plant architecture and reproductive timing. Most of the previous characterization of the light-modulated growth program has been performed in the reference plant Arabidopsis thaliana. Here, we use Brassica rapa as a crop model to test for conservation of the phytochrome-carbon network...
March 3, 2018: Journal of Experimental Botany
Muhammad Awais, Aftab Wajid, Muhammad Farrukh Saleem, Wajid Nasim, Ashfaq Ahmad, Muhammad Aown Sammar Raza, Muhammad Usman Bashir, Muhammad Mubeen, Hafiz Mohkum Hammad, Muhammad Habib Ur Rahman, Umer Saeed, Muhammad Naveed Arshad, Jamshad Hussain
Growth, development, and economic yield of agricultural crops rely on moisture, temperature, light, and carbon dioxide concentration. However, the amount of these parameters is varying with time due to climate change. Climate change is factual and ongoing so, first principle of agronomy should be to identify climate change potential impacts and adaptation measures to manage the susceptibilities of agricultural sector. Crop models have ability to predict the crop's yield under changing climatic conditions. We used OILCROP-SUN model to simulate the influence of elevated temperature and CO2 on crop growth duration, maximum leaf area index (LAI), total dry matter (TDM), and achene yield of sunflower under semi-arid conditions of Pakistan (Faisalabad, Punjab)...
March 5, 2018: Environmental Science and Pollution Research International
K Chenu, E J van Oosterom, G McLean, K S Deifel, A Fletcher, G Geetika, A Tirfessa, E S Mace, D R Jordan, R Sulman, G L Hammer
Following advances in genetics, genomics, and phenotyping, trait selection in breeding is limited by our ability to understand interactions within the plants and with their environments, and to target traits of most relevance for the target population of environments. We propose an integrated approach that combines insights from crop modelling, physiology, genetics, and breeding to identify traits valuable for yield gain in the target population of environments, develop relevant high-throughput phenotyping platforms, and identify genetic controls and their values in production environments...
February 21, 2018: Journal of Experimental Botany
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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...
April 2018: Global Change Biology
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
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
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