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Dingkuhn, MichaelLaza, Maria Rebecca CKumar, UttamMendez, Kharla SCollard, BertrandJagadish, Krishna S.V.Singh, Rakesh KumarPadolina, ThelmaMalabayabas, MyrnaTorres Castro, Edgar AlonsoRebolledo, María CamilaManneh, BaboucarrSow, Abdoulaye[Improving yield potential of tropical rice: achieved levels and perspectives through improved ideotypes]Improving yield potential of tropical rice: achieved levels and perspectives through improved ideotypes

We evaluated the yields of Oryza sativa L. ‘Nipponbare’ rice lines expressing a gene encoding an A20/AN1 domain stress-associated protein, AlSAP, from the halophyte grass Aeluropus littoralis under the control of different promoters. Three independent field trials were conducted, with drought imp...


Ghneim-Herrera, ThauraSelvaraj, Michael GomezMeynard, DonaldoFabre, DenisPeña, AlexandraRomdhane, Walid BenSaad, Rania BenOgawa, SatoshiRebolledo, María CamilaIshitani, ManabuTohme, Joseph M.Al-Doss, AbdullahGuiderdoni, EmmanuelHassairi, Afif[Expression of the Aeluropus littoralis AlSAP Gene Enhances Rice Yield under Field Drought at the Reproductive Stage]Expression of the Aeluropus littoralis AlSAP Gene Enhances Rice Yield under Field Drought at the Reproductive Stage

This paper presents a high-throughput method for Above Ground Estimation of Biomass (AGBE) in rice using multispectral near-infrared (NIR) imagery captured at different scales of the crop. By developing an integrated aerial crop monitoring solution using an Unmanned Aerial Vehicle (UAV), our appr...


Devia, Carlos A.Rojas, Juan P.Petro Páez, Eliel EnriqueMartínez, CarolMondragon, Ivan F.Patino, D.Rebolledo, María CamilaColorado, J.[High-Throughput Biomass Estimation in Rice Crops Using UAV Multispectral Imagery]High-Throughput Biomass Estimation in Rice Crops Using UAV Multispectral Imagery

Number of spikelets per panicle (NSP) is a key trait to increase yield potential in rice (O. sativa). The architecture of the rice inflorescence which is mainly determined by the length and number of primary (PBL and PBN) and secondary (SBL and SBN) branches can influence NSP. Although several ge...


Rebolledo, María CamilaPeña, Alexandra L.Duitama, JorgeCruz, Daniel FelipeGrenier, CécileTohme, Joseph M.[Combining image analysis,genome wide association studies and different field trials to reveal stable genetic regions related to panicle architecture and the number of spikelets per panicle in rice]Combining image analysis,genome wide association studies and different field trials to reveal stable genetic regions related to panicle architecture and the number of spikelets per panicle in rice

El vaneamiento del cultivo del arroz viene causando pérdidas en la producción de Colombia. Este hecho se asocia con el reporte hecho en cultivos comerciales de arroz del Caribe Húmedo Colombiano con la enfermedad conocida como añublo bacterial de la panícula causada por la bacteria Burkholderia g...


Echeverri Rico, JohanaMosquera Cifuentes, Gloria MariaRebolledo, María CamilaPetro Páez, Eliel EnriqueAmezquita Varón, NelsonGarcés Varón, GabrielToro Sánchez, ShirleyPerafán Gomez, Ricardo[Relación de Burkholderia glumae con el rendimiento del cultivo del arroz en Colombia]Relación de Burkholderia glumae con el rendimiento del cultivo del arroz en Colombia

A diversity panel comprising of 296 indica rice genotypes was phenotyped under non-stress and water-deficit stress conditions during the reproductive stage in 2013 and 2014 dry seasons at IRRI, Philippines. We investigated the genotypic variability for grain yield, yield components and related tr...


Kadam, Niteen NStruik, Paul CRebolledo, María CamilaYin, XinyouJagadish, Krishna S.V.[Genome wide association provides novel genomic loci controlling rice grain yield and its component traits under water-deficit stress during the reproductive stage]Genome wide association provides novel genomic loci controlling rice grain yield and its component traits under water-deficit stress during the reproductive stage

Soil drying causes leaf rolling in rice, but the relationship between leaf rolling and drought tolerance has historically confounded selection of drought tolerant genotypes. In this study on tropical japonica and aus diversity panels (170‐220 genotypes), the degree of leaf rolling under drought w...


Cal, Andrew J.Sanciangco, MillicentRebolledo, María CamilaLuquet, DelphineTorres, Rolando O.McNally, Kenneth L.Henr, Amelia[Leaf morphology, rather than plant water status, underlies genetic variation of rice leaf rolling under drought]Leaf morphology, rather than plant water status, underlies genetic variation of rice leaf rolling under drought

In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice cro...


Rojas, Juan P.Devia, Carlos A.Petro, ElielMartínez, CarolMondragon, Ivan F.Patino, D.Rebolledo, María CamilaColorado, J.[Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring]Aerial mapping of rice crops using mosaicing techniques for vegetative index monitoring

With the aim to find new sources of resistance to rice hoja blanca (white leaf) disease, transmitted by the insect Tagosodes orizicolus, 660 genotypes were evaluated under greenhouse and field conditions. Seven resistant genotypes were identified, and genomic studies were performed to demonstrate...


Cruz Gallego, MaribelRebolledo, María CamilaCuasquer, Juan B.Cruz, Daniel FelipePeña-Fernández, Alexandra LorenaQuintero, ConstanzaSilva-Córdoba, AlexanderÁlvarez, María FernandaJojoa-Cruz, SebastiánLorieux, MathiasStuart, Jeffrey J.Correa, Fernando[Identification of new sources of resistance to RHBV- rice hoja blanca virus = Identificación de nuevas fuentes de resistencia al virus hoja blanca en arroz-RHBV]Identification of new sources of resistance to RHBV- rice hoja blanca virus = Identificación de nuevas fuentes de resistencia al virus hoja blanca en arroz-RHBV

There is a 95% chance that warming will exceed 2°C by the end of the century (Raftery et al. 2017). Global crop productivity is projected to fall by 5-10 % per degree of warming (Challinor et al. 2014), with even greater losses likely for some crops in some areas. The challenge of meeting future ...


Balié, JeanCramer, LauraFriedmann, MichaelGotor, ElisabettaJones, Christopher S.Kozicka, MartaKruseman, Gideon K.Notenbaert, An Maria OmerPlace, FrankRebolledo, María CamilaThornton, Philip K.Wiebe, Keith[Exploring opportunities around climate-smart breeding for future food and nutrition security]Exploring opportunities around climate-smart breeding for future food and nutrition security

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