Genotypic and environmental variation in grain, flour, dough and bread-making characteristics of Western Canadian Spring Wheat

Finlay, G.; Bullock, Paul; Sapirstein, H. D.; Naeem, Hamid A.; Hussain, A.; Angadi, Sangamesh V.; DePauw, R. M.

doi:10.4141/p06-150

Cited by 48 publications

(44 citation statements)

References 31 publications

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“…This near negligible genotype by environment (G x E) interaction is similar to other published results. Finlay et al (2007) tested six spring wheat cultivars at five locations across Manitoba and Saskatchewan over two years to examine genotypic and environmental variation in grain, flour, dough and bread-making characteristics. They reported that the relative magnitude of the environmental contribution to wheat variance, depending on the trait (including yield), was considerably larger (14 to 89%) than the variance contribution of either genotype (0 to 33%) or G x E interaction (0 to 17%).…”

Section: Resultsmentioning

confidence: 99%

Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada

Friesen¹,

Brûlé‐Babel²,

Crow

et al. 2016

Can. J. Plant Sci.

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Abstract:In western Canada and in many agricultural areas around the world, new crop genotypes are evaluated over a number of locations and years in multi-environment trials (MET) to investigate yield, yield stability, agronomic, and quality characteristics, with the ultimate goal to predict future genotype performance in commercial fields. This evaluation informs decisions about the commercial value of new crop genotypes, with a primary user of this information being farmers. Currently in many regions of Canada as the first step in analysis of this MET data, values usually are expressed as a percentage of a designated check genotype value at each site-year (trial), usually followed by a relatively simplistic statistical analysis of this percentage data. There are a number of problems with this traditional approach including selection of an appropriate check genotype or genotypes, and the necessary consistent performance of the check genotype over a number of locations and years. Following the recent approach of other countries and jurisdictions, MET spring wheat genotype yield data (kg ha −1 ) that had been collected from 2000 to 2009 from various locations in Manitoba, Canada were subjected to mixed model statistical analysis. The results of the mixed model analysis compared very favourably to the historical traditional approach, and proved to be superior in situations such as a specific year in the dataset (2007) when the designated check genotype performed anomalously poorly. These results indicated that as little as five trial sites in a single year provided sufficient data for reliable prediction of a new genotype's yield performance, given a background dataset comprised of approximately 45 spring wheat genotypes tested over eight years. The wheat genotype yield data also was subjected to estimation of several different stability measures to investigate differences in yield stability between genotypes in the dataset. Results indicated relatively stable yield performance for most genotypes over a range of site-years (environments).Key words: crop genotype evaluation trials, crop yield stability, mixed statistical models, multi-environment trials.Résumé : Dans l'ouest du Canada comme ailleurs, dans de nombreuses régions agricoles de la planète, on évalue les nouvelles variétés dans divers lieux, pendant plusieurs années, lors d'essais dans des conditions variées en vue d'en vérifier le rendement, la stabilité de ce dernier, et divers paramètres agronomiques ou qualitatifs, cela dans l'espoir de prévoir la performance de la nouvelle variété lorsqu'elle sera cultivée commercialement. Pareille évaluation facilite la prise de décisions éclairées sur la valeur commerciale des nouvelles variétés, les agriculteurs étant les premiers à exploiter les informations de cette nature. Actuellement, dans maintes régions du Canada, la première étape de l'analyse des données issues des essais multi-environnementaux consiste à exprimer celles-ci sous forme de proportions par rapport à la valeur obtenue avec une variété témoin...

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Section: Resultsmentioning

confidence: 99%

Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada

Friesen¹,

Brûlé‐Babel²,

Crow

et al. 2016

Can. J. Plant Sci.

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“…The Saskatchewan sites were located at Agriculture and Agri-Food Canada (AAFC) research facilities and the Manitoba sites were located at the University of Manitoba's agricultural research facilities. A more detailed description of the sites can be found in Finlay et al (2007), Gervais (2008) and Mkhabela et al (2010).…”

Section: Materials and Methods Site Location And Descriptionmentioning

confidence: 99%

Improvements to the accuracy of modelled soil water content from the Second Generation Prairie Agrometeorological Model

Gervais¹,

Bullock²,

Mkhabela

et al. 2010

Can. J. Soil. Sci.

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Gervais, M., Bullock, P., Mkhabela, M., Finlay, G. and Raddatz, R. 2010. Improvements to the accuracy of modelled soil water content from the Second Generation Prairie Agrometeorological Model. Can. J. Soil Sci. 90: 527Á542. The direct measurement of soil water on a regional scale is often not practical due to large instrumental and labour requirements. Alternatively, soil water estimates can be derived using models. The Second Generation Prairie Agrometeorological Model (PAMII) models soil water, crop development and evapotranspiration (ET) in order to derive an estimate of crop water use. The objective of this study was to validate, and if necessary modify, the soil water component of PAMII using weather and soil water data collected from several spring wheat trials in Saskatchewan and Manitoba during the 2003 though 2006 growing seasons. Comparison of modelled and measured soil water values yielded a RMSE of 62 mm. For most site-years, PAMII overestimated soil water during the second half of the growing season, which was caused by an increase in modelled canopy resistance (r c ) before the crop experienced water stress. The r c function was thus modified so that r c would not increase until the soil water content was B0.5 of plant available water. Overall this modification reduced the RMSE from 62 to 56 mm. In addition, modelled soil water was underestimated during periods that experienced consecutive days of precipitation. This was because the model stopped infiltration when the top-zone reached saturation. When modified to allow infiltration to continue independent of the top-zone's water content, the RMSE was further reduced to 53 mm. Overall, both modifications reduced the RMSE of modelled soil water by 9 mm, and this reduction was highly significant (PB0.01).Key words: Prairie Agrometeorological Model (PAMII), soil water modelling, evapotranspiration, Canadian prairies Gervais, M., Bullock, P., Mkhabela, M., Finlay, G. et Raddatz, R. 2010. Ame´lioration de la pre´cision de la teneur en eau du sol e´tablie graˆce au mode`le agrome´te´orologique des Prairies de 2 e generation. Can. J. Soil Sci. 90: 527Á542. Mesurer directement la teneur en eau du sol a`l'e´chelle re´gionale est rarement pratique en raison de l'importance du mate´riel et du travail que cela requiert. Paralle`lement, on peut de´river une estimation de ce parame`tre graˆce a`divers mode`les. Le Prairie Agrometeorological Model de 2 e ge´ne´ration (PAMII) mode´lise la teneur en eau du sol, la croissance des cultures et l'e´vapotranspiration (ET) pour estimer la quantite´d'eau utilise´e par les plantes. La pre´sente e´tude devait valider et au besoin modifier la composante du PAMII relative a`la teneur en eau du sol a`partir des donne´es me´te´orologiques et des releve´s de la teneur en eau recueillis a`l'occasion de plusieurs essais de culture du ble´de printemps effectue´s en Saskatchewan et au Manitoba, durant la pe´riode ve´ge´tative, entre 2003 et 2006. En comparant la teneur en eau du sol mode´lise´e a`celle e´tablie par mesure directe, o...

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“…Quality is a complex characteristic and the degree of influence of each component determining its expression is affected by the genotype's behavior to a specific environment. Diverse studies point out that climatic conditions during the growing season, especially during the wheat's reproductive period, are very important since they are closely related to the formation and accumulation of protein reserves (Gaido and Dubois, 2008) that have an impact on genotype quality (Finlay et al, 2007). Borghi et al (1995) point out that in a Mediterranean-type climate, such as the one found in Chile, the G×E interaction has a strong influence and causes important variety response variability for both yield and quality in each season and each planting site.…”

Section: Qualitymentioning

confidence: 99%

Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG

Castillo

Matus

Pozo

et al. 2012

Chilean J. Agric. Res.

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Wheat (Triticum aestivum L.) genetic improvement objectives include obtaining cultivars capable of expressing their maximum potential yield and quality in diverse environments. This make necessary to know and define the environment in which a variety can express its maximum potential yield and quality. The objective of this study was to assess which method is the most efficient to study cultivars response in multiple environments. For this, we analyze the adaptability, stability, and genotype × environment (G×E) interaction effect, grain yield, sedimentation, and wet gluten content of 13 spring wheat cultivars sown in six environments in the central-south and southern zones of Chile during two seasons. The data were analyzed by regression analysis, additive main effects and multiplicative interaction (AMMI), and the sites regression (SREG) model. By this was thus established that SREG analysis is the most efficient for this type of study since, in addition to analyzing stability, adaptability, and effect (G×E), it allows identifying the best cultivar. In this case, 'Pandora-INIA' stands out by exhibiting the best yield (7.38 t ha -1 ), high sedimentation (36.95 cm 3 ), and wet gluten (41.54%) indices in all the environments, and this positions it as a variety having both high yield and quality.

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Genotypic and environmental variation in grain, flour, dough and bread-making characteristics of Western Canadian Spring Wheat

Cited by 48 publications

References 31 publications

Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada

Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada

Improvements to the accuracy of modelled soil water content from the Second Generation Prairie Agrometeorological Model

Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG

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