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To improve the prediction of crop yields at an aggregate scale, we developed a data assimilation-crop modeling framework that incorporates remotely sensed soil moisture and leaf area index (LAI) into a crop model using sequential data assimilation. The core of the framework is an Ensemble Kalman ...


Ines, Amor V. M.Das, NNHansen, JamesNjoku, EG[Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction]Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction

Agriculture is unique among economic sectors in the nature of impacts from climate change. The production activity that transforms inputs into agricultural outputs involves direct use of weather inputs (temperature, solar radiation available to the plant, and precipitation). Previous studies of t...


Nelson, Gerald C.Mensbrugghe, Dominique van derAhammad, H.Blanc, ElodieCalvin, KatherineHasegawa, TomokoHavlík, PetrHeyhoe, EdwinaKyle, PageLotze-Campen, HermannLampe M. vonMason-D'Croz, DanielMeijl, Hans vanMüller, ChristophReilly JRobertson, Richard D.Sands, Ronald D.Schmitz, ChristophTabeau, AndrzejTakahashi, K.Valin, HugoWillenbockel, Dirk[Agriculture and climate change in global scenarios: why don't the models agree]Agriculture and climate change in global scenarios: why don't the models agree

This article compares the theoretical and functional specification of production in partial equilibrium (PE) and computable general equilibrium (CGE) models of the global agricultural and food system included in the AgMIP model comparison study. The two model families differ in their scope—partia...


Robinson, ShermanMeijl, Hans vanWillenbockel, DirkValin, HugoFujimori, ShinichiroMasui TSands, Ronald D.Wise, MarshallCalvin, KatherineHavlík, PetrMason-D'Croz, DanielTabeau, AndrzejKavallari, AikateriniSchmitz, ChristophDietrich, Jan PhilippLampe M. von[Comparing supply-side specifications in models of global agriculture and the food system]Comparing supply-side specifications in models of global agriculture and the food system

Better soil health can increase agricultural productivity. Restoration activities can build on-farm resilience and contribute to climate change adaptation and mitigation. Land and soil health surveys can improve crop modeling predictions under various climate scenarios and guide more targeted in...


Winowiecki, Leigh A.Mwongera, CarolineLäderach, PeterAcosta, MariolaAmpaire, Edidah L.Eitzinger, AntonLamanna, ChristineMwungu, Chris MiyinziShikuku, K.M.Twyman, Jennifer[Invest in climate-smart soil and land health]Invest in climate-smart soil and land health

Virtual crop modeling is the representation of future genetic improvements from plant breeding in crop growth simulation models through changes in genetic coefficients or other crop model parameters with the objective of analyzing ex-ante the impacts of improved traits on crop yields and assistin...


Raymundo, R.Kleinwechter, U.Asseng, Senthold[Virtual potato crop modeling: A comparison of genetic coefficients of the DSSAT-SUBSTOR potato model with breeding goals for developing countries]Virtual potato crop modeling: A comparison of genetic coefficients of the DSSAT-SUBSTOR potato model with breeding goals for developing countries

The Kingdom of Bhutan is nestled in the Himalayas, sharing borders with India to the south and China to the north. The country is a net carbon sink and has committed to ensuring that 60% of its total land area will remain as forest. Despite efforts to encourage sustainable economic growth at the ...


Parker, LouisGuerten, NoraNguyen, Than ThiRinzin, ChimiTashi, DawaWangchuk, DorjiBajgai, YadunathSubedi, KiranPhuntsho, LodayThinley, NamgayChhogyel, NgawangGyalmo, TashoKatwal, Tirtha B.Zangpo, TshelthrimAcharya, SagarPradhan, SangitaPenjor, Sonam[Climate change impacts in Bhutan: challenges and opportunities for the agricultural sector]Climate change impacts in Bhutan: challenges and opportunities for the agricultural sector

CGIAR Platform for Big Data in Agriculture[BIG DATA Crop Modeling Community of Practice – Work Plan 2019]BIG DATA Crop Modeling Community of Practice – Work Plan 2019

Eitzinger, AntonEugene, LevaelMartínez, ArmandoNavarrete-Frías, CarolinaJarvis, Andy[Disaster and climate risk assessment for PITAG Regions in Haiti. Technical Report]Disaster and climate risk assessment for PITAG Regions in Haiti. Technical Report

During the post-rainy (rabi) season in India around 3 million tonnes of sorghum grain is produced from 5.7 million ha of cropping. This underpins the livelihood of about 5 million households. Severe drought is common as the crop grown in these areas relies largely on soil moisture stored during t...


Kholová, JanaMcLean GVadez, VincentCraufurd, Peter Q.Hammer, Graeme L.[Drought stress characterization of post-rainy season (rabi) sorghum in India]Drought stress characterization of post-rainy season (rabi) sorghum in India

Crop growth simulation models are a useful tool to assess the impact of environment, crop management, genetics and breeding strategies, as well as climate change and variability on growth and yield. Any crop science experiment that measures key physiological processes, tests these productive proc...


Craufurd, Peter Q.Vadez, VincentJagadish, Krishna S.V.Vara Prasad PVZaman-Allah, M.A.[Crop science experiments designed to inform crop modeling]Crop science experiments designed to inform crop modeling

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