Temperature Response of Vernalization in Wheat: A Developmental Analysis

Brooking, I.R.

doi:10.1006/anbo.1996.0148

Cited by 55 publications

(45 citation statements)

References 30 publications

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“…Once all the leaves have appeared on the main stem, flowering occurs (McMaster et al, 2008), which is strongly determined by vernalization (P1V) and photoperiod (P1D) (Brooking, 1996;Mahfoozi et al, 2001;Brooking and Jamieson, 2002). Photoperiod defines floral initiation and grain filling (P5), stage which is highly influenced by the environment as are previous stages (Wheeler et al, 1996).…”

Section: Yield and Yield Componentsmentioning

confidence: 99%

Determination of genetic coefficients of three springwheat varieties under a Mediterranean environment applying the DSSAT model

Maldonado-Ibarra

Rodríguez

Castillo-Rosales

2015

Chilean J. Agric. Res.

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The impact of climate change requires developing and validating models that help to project possible scenarios that must adapt to new varieties. This study seeks to validate and calibrate the Decision Support System for Agrotechnology Transfer (DSSAT) model as a tool that facilitates the characterization of the behavior of new varieties in the face of new scenarios generated by climate change. The determination of genetic coefficients of three bread wheat (Triticum aestivum L.) varieties was considered in the methodology; this was done with the database of the historical records of the Instituto de Investigaciones Agropecuarias (INIA) Wheat Breeding Program for the 2000 to 2011 period. Once the adjustment level of the model was dealt with, it was feasible to obtain genetic coefficients of three spring wheat varieties (Pandora-INIA, Kipa-INIA, and Millán-INIA); days from planting to anthesis variable exhibited RMSE values fluctuating between 3.5 and 9.7 depending on the variety. For total duration of days to maturity, 'Millán-INIA' exhibited a very good adjustment (RMSE = 0.25) as compared to 'Pandora-INIA' (RMSE = 1.35) and 'Kipa-INIA ' (12.22). Furthermore, the coefficient of determination of the genetic coefficients indicates that the varieties have minimum vernalization requirements; these are similar to the photoperiod between 'Pandora-INIA' and 'Millán-INIA' and lower in the case of 'Kipa-INIA'. Thermal requirements for grain filling, biomass production, and plant height did not exhibit any important differences among varieties. Finally, the methodology allowed calibrating the DSSAT model and achieving a good predictive level of yields for the three varieties. The plant development parameters must be studied in greater detail because of the low association between simulated and observed values.

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Section: Yield and Yield Componentsmentioning

confidence: 99%

Determination of genetic coefficients of three springwheat varieties under a Mediterranean environment applying the DSSAT model

Maldonado-Ibarra

Rodríguez

Castillo-Rosales

2015

Chilean J. Agric. Res.

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“…Carbon uptake in early vegetative stages was relatively low from planting towards the end of the year until the spring green-up in the following year, during which period the plants also undergo vernalization (i.e. cold requirement for the transition from vegetative to reproductive growth; Bierhuzen, 1973;Brooking, 1996;. Rapid growth and higher carbon uptake (i.e.…”

Section: Simulations For Winter Wheatmentioning

confidence: 99%

Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands

et al. 2009

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Abstract. Croplands are man-made ecosystems that have high net primary productivity during the growing season of crops, thus impacting carbon and other exchanges with the atmosphere. These exchanges play a major role in nutrient cycling and climate change related issues. An accurate representation of crop phenology and physiology is important in land-atmosphere carbon models being used to predict these exchanges. To better estimate time-varying exchanges of carbon, water, and energy of croplands using the Simple Biosphere (SiB) model, we developed crop-specific phenology models and coupled them to SiB. The coupled SiBphenology model (SiBcrop) replaces remotely-sensed NDVI information, on which SiB originally relied for deriving Leaf Area Index (LAI) and the fraction of Photosynthetically Active Radiation (fPAR) for estimating carbon dynamics. The use of the new phenology scheme within SiB substantially improved the prediction of LAI and carbon fluxes for maize, soybean, and wheat crops, as compared with the observed data at several AmeriFlux eddy covariance flux tower sites in the US mid continent region. SiBcrop better predicted the onset and end of the growing season, harvest, interannual variability associated with crop rotation, day time carCorrespondence to: E. Lokupitiya (erandi@atmos.colostate.edu) bon uptake (especially for maize) and day to day variability in carbon exchange. Biomass predicted by SiBcrop had good agreement with the observed biomass at field sites. In the future, we will predict fine resolution regional scale carbon and other exchanges by coupling SiBcrop with RAMS (the Regional Atmospheric Modeling System).

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“…(Tabelas 2 e 3). Além disso, a maioria das plantas desta cultivar permaneceu em forma de roseta no tratamento sem vernalização, não havendo alongamento do colmo principal e todas morreram antes de completar a antese, característica de plantas que são fortemente sensíveis à vernalização, típico de genótipos de trigo de inverno (BROOKING, 1996;RAWSON et al, 1998;STRECK et al, 2003a). Corrobora com a assertiva de que a cultivar BRS Tarumã tem forte sensibilidade à vernalização, o fato de que nos tratamentos com vernalização entre DV7 e DV28 apenas algumas plantas (0, 20%, 0 e 5% das plantas etiquetadas nos tratamentos DV7, DV14, DV21 e DV28 respectivamente) alcançaram a antese; quando alcançaram, nas espigas, observaram-se deformações, característica de plantas que são fortemente sensíveis à vernalização (TAIZ, 2002;STRECK et al, 2003a).…”

Section: Methodsunclassified

“…Para a cultivar BRS Tarumã, em função do alto NFF (17 folhas) nas plantas do tratamento sem vernalização, e como estas plantas não atingiram a antese, comportamento típico de trigos de inverno (BROOKING, 1996;RAWSON et al, 1998;STRECK et al, 2003a), optou-se em não ajustar uma curva MMF e sim usar a função MMF para trigos de inverno (Figura 3c), com X 0,5 = 22,5 DEV e n = 5, propostas por STRECK et al (2003a). Essa curva descreveu parte da tendência dos dados observados (Figura 3c).…”

Section: Methodsunclassified

Resposta à vernalização de cultivares brasileiras de trigo

et al. 2009

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RESUMOVernalização é o processo pelo qual as plantas são induzidas a florescer através da exposição a temperaturas baixas não congelantes. Funções de resposta à vernalização foram ajustadas para caracterizar trigos de inverno, mas ainda não as foram para trigos brasileiros. Os objetivos deste trabalho foram determinar a sensibilidade à vernalização de algumas cultivares de trigo do sul do Brasil e ajustar uma função não linear de reposta à vernalização para estas cultivares. Foram aplicados oito tratamentos de vernalização (0, 7, 14, 21, 28, 35, 42 e 49 dias de vernalização) em seis cultivares de trigo (BRS Louro, BRS 177, BRS Tarumã, CEP 51, CEP 52 e Nova Era). A cultivar BRS Louro não foi responsiva aos tratamentos de vernalização, na cultivar BRS Tarumã ocorreu forte sensibilidade à vernalização, similar a trigos de inverno, e nas cultivares BRS 177, CEP 51, CEP 52 e Nova Era a resposta à vernalização foi intermediária. Para as cultivares responsivas à vernalização foram ajustadas funções não lineares que podem ser usadas em modelos de simulação do desenvolvimento de cultivares sul brasileiras de trigo com distintos requerimentos em vernalização.Palavras-chave: Triticum aestivum L., modelagem, temperatura, soma térmica, emissão de folhas. ABSTRACT VERNALIZATION RESPONSE OF BRAZILIAN WHEAT CULTIVARSVernalization is a process by which plants are inducted to enter the reproductive phase through an exposure to low nonfreezing temperatures. Vernalization response functions have been proposed for winter wheats, but no indication of vernalization response functions for Brazilian wheats were found in the literature. The objectives of this study were to evaluate vernalization response of some Brazilian wheat cultivars and to fit a vernalization response function for these cultivars. Eight vernalization treatments (0, 7, 14, 21, 28, 35, 42 and 49 vernalization days) and six wheat cultivars (BRS Louro, BRS 177, BRS Tarumã, CEP 51, CEP 52 e Nova Era) were used. The cultivar BRS Louro showed no response to vernalization, BRS Tarumã was strongly sensitive to vernalization, similar to winter wheat, and cultivars BRS 177, CEP 51, CEP 52, and Nova Era presented intermediate vernalization response. For the cultivars that presented some response to vernalization, response functions are presented, which can be used in models for simulating the development of Brazilian wheat cultivars with distinct vernalization requirements.Key words: Triticum aestivum L., modelling, temperature, thermal sum, leaf emergence.

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Temperature Response of Vernalization in Wheat: A Developmental Analysis

Cited by 55 publications

References 30 publications

Determination of genetic coefficients of three springwheat varieties under a Mediterranean environment applying the DSSAT model

Determination of genetic coefficients of three springwheat varieties under a Mediterranean environment applying the DSSAT model

Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands

Resposta à vernalização de cultivares brasileiras de trigo

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