Perte de rendement due aux maladies cryptogamiques sur blé tendre d'hiver. Construction et validation d'un modèle de l'effet du système de culture

Chevalier-Gérard, C.; Denis, JB; Meynard, JM

doi:10.1051/agro:19940504

Cited by 18 publications

(6 citation statements)

References 3 publications

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“…On the other hand, the greater effect of diseases, where no fungicides were used, resulted in a greater reduction in thousand kernel weight which was more severe (24.1% on average) than in the reduction of kernel number (8.0%). These results were partly in agreement with those of Chevalier‐Gérard et al (1994) who found an average yield loss of 26.4% on plots without fungicides and showed that stripe rust, septorias, and powdery mildew were predominant in northern France during 1978 to 1991. In our case, with the exception of stripe rust, disease pressures were similar.…”

Section: Resultssupporting

confidence: 91%

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A Diagnosis of Yield‐Limiting Factors on Probe Genotypes for Characterizing Environments in Winter Wheat Trials

Brancourt‐Hulmel

Lecomte

Meynard³

1999

Crop Science

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decreases as KN increases according to an hyperbolic relationship. Applying this to winter wheat, Leterme et Genotype ϫ environment interaction is fully analyzed when genoal. (1994) fully described how to interpret this relationtypes and environments are well characterized. Probe genotypes were studied in a simplified crop diagnosis to show how variates of yield ship between TKW and KN. components can strengthen characterization of environments by usual Because these two yield components are developed indicators of yield-limiting factors. The objective of this study was to over two distinct crop development periods, (from sowdetermine the main limiting factors of yield and to analyze their effects ing to flowering for KN and after flowering for TKW), in wheat (Triticum aestivum L.) trials. Fixed genotypes (Talent, Soisthis allows identification of when the limiting factors sons, Camp-Ré my, and Arminda) were studied as probe genotypes occur. Their intensity is determined by comparison to at five experimental stations of the Institut National de la Recherche reference values considered as threshold or potential Agronomique (I.N.R.A.) (Rennes, Mons, La Miniè re, Dijon, and values. Additionally, to discover which factors or condi-Ondes) during 1991 and 1992. Two important variates, the reduction tions are responsible for yield reductions, it is necessary of kernel number and the reduction of thousand kernel weight, were to characterize the nutritional status of the crop and analyzed to characterize the environments during the formation of yield. The former described the time-period until flowering and the the environmental and biological constraints and relate latter the grain-filling period. In addition, factors that limit yield were these indicators to yield component reductions. These determined through indicators such as water deficits, the ratio between factors are numerous in winter wheat trials. Climatic nitrogen absorbed and kernel number, radiation, temperature, develconstraints include water deficits (Singh, 1981; Kobata opment of diseases (powdery mildew, strike rust, leaf rust, leaf and et al. , 1992; Debaeke et al., 1996), temperature (Wieglume blotch), and lodging. Our study resulted in providing critical gang and Cuellar, 1981; Hunt et al., 1991; Stone and values for grain yield, kernel number, and thousand kernel weight Nicolas, 1995a, b), and radiation (Demotes-Mainard et for the four probe genotypes. Then reductions of yield components al., 1996). In French cropping systems, biological concould be determined and analyzed. They provide useful information straints are associated with diseases. More than 20 disfor characterizing environments subjected to numerous yield-limiting eases of major significance have been reported on wheat factors. Our study also revealed that the biological variates (essentially susceptibility to powdery mildew and to lodging) affected yield more

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Section: Resultssupporting

confidence: 91%

“…Analysis in trials requires investigation of the interaction between several diseases. The interaction of several diseases is also an important consideration as shown by Chevalier‐Gérard et al (1994) who found that stripe rust ( Puccinia striiformis West. ), septorias ( Septoria tritici Rob.…”

mentioning

confidence: 99%

A Diagnosis of Yield‐Limiting Factors on Probe Genotypes for Characterizing Environments in Winter Wheat Trials

Brancourt‐Hulmel

Lecomte

Meynard³

1999

Crop Science

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“…The significant effect of P1 on C 2 suggests that the cycle of secondary infections begins early. Rapilly (1991), Chevalier-Gé rard et al (1994) and Colbach et al (1999) used cumulative temperature expressed in degree-days (base 0°C) from sowing to 31 January to evaluate pre-winter infection with eyespot and other wheat disease complexes. Cumulative degree-days was a significant factor only in the StaL0 + model.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of models to predict take-all incidence in winter wheat as a function of cropping practices, soil, and climate

et al. 2007

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The incidence and severity of take-all, caused by Gaeumannomyces graminis var. tritici (Ggt), in susceptible crops depend on climate, soil characteristics and cropping practices. Take-all can be controlled by modifying crop rotation, crop management and fungicide treatment. When available, fungicides are used as a seed treatment and are partially effective. There is currently no reliable method for helping farmers to optimise their choice of cropping system to improve take-all control. In this study, we defined 16 models, based on various mathematical functions and input variables, for predicting disease incidence in a wheat crop as a function of soil characteristics, climate, crop rotation and crop management. The parameters of these models were estimated from field experiments carried out at six sites in the north of France over a ten-year period. The root mean squared error of prediction (RMSEP) values of the models were estimated by cross validation and compared. RMSEP was in the range 16.34-65.93% and was higher for the models based on multiplicative functions. The lowest RMSEP value was obtained for a dynamic model simulating disease incidence during the crop cycle and which included among input variables the percentage of diseased plants determined at GS3

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“…In fact, biotechnical models focusing on fruits are almost absent (except the models of Doyle et al (1989) in kiwifruits, Dumas et al (1995) in processing tomatoes and Gary and Tchamitchian (2001) in fresh tomatoes), and none of them concern essential features of fruit quality such as taste or firmness. Gutierrez and Curry, 1989;Gutierrez et al, 1991), as well as those of Rossing (1991) on aphid damage in winter wheat, Blaise et al (1996) on the effect of disease on grapevine yield, and of Chevalier-Gérard et al (1994) or Colbach et al (1999) on the effect of cropping systems on disease development. This raises the issue of the variation of fruit quality which is as large within cultivars as between cultivars (Génard and Bruchou, 1992).…”

Section: Models Of Fruit Quality Across Fields Of Sciencementioning

confidence: 99%

Production Practices and Quality Assessment of Food Crops Volume 1

Dris¹,

Jain²

2004

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Perte de rendement due aux maladies cryptogamiques sur blé tendre d'hiver. Construction et validation d'un modèle de l'effet du système de culture

Cited by 18 publications

References 3 publications

A Diagnosis of Yield‐Limiting Factors on Probe Genotypes for Characterizing Environments in Winter Wheat Trials

A Diagnosis of Yield‐Limiting Factors on Probe Genotypes for Characterizing Environments in Winter Wheat Trials

Evaluation of models to predict take-all incidence in winter wheat as a function of cropping practices, soil, and climate

Production Practices and Quality Assessment of Food Crops Volume 1

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