Posts in Yield
Saskatchewan Variety Performance Group (SVPG) Support for Regional Variety Testing 2021

The Saskatchewan Variety Performance Group (SVPG) is an informal group made up of stakeholders who are interested in variety performance testing in Saskatchewan. SVPG has coordinated the post-registration regional performance testing of spring wheat, durum, barley, oats and flax varieties since 2006. The data collected from these trials is entered into annual publications Varieties of Grain Crops and SaskSeed Guide. These publications are valuable resources for producers and seed growers who are looking for unbiased comparisons of variety data.

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SK Variety Performance Group (SVPG) Extra Wheat Data Support 2021

The Saskatchewan Variety Performance Group (SVPG) is an informal group made up of stakeholders who are interested in variety performance testing in Saskatchewan. SVPG has coordinated the post-registration regional performance testing of spring wheat, durum, barley, oats and flax varieties since 2006. The data collected from these trials is entered into annual publications Varieties of Grain Crops and SaskSeed Guide. These publications are valuable resources for producers and seed growers who are looking for unbiased comparisons of variety data.

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U of M Core Breeding Agreement

This research will renew the FHB screening provided by the WGRF core agreement and add back capacity that was in Growing Forward 2. It will also sustain the additional resources for durum wheat which was supported through the bridge funding provided by the AWC, SWDC, and MCA. By providing phenotypic FHB data to breeders and geneticists, this project will support the continued efforts toward incorporating and combining better sources of genetic resistance into Canadian wheat cultivars. This will benefit the entire wheat value chain and ensure that Canadian wheat continues to be competitive on world markets.

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Increasing grain yield in CWRS wheat while maintaining grain protein levels and baking quality

This project focuses on developing CWRS wheat cultivars that are 10-15% higher yielding while meeting protein and baking quality targets. Some genes seem to be promising, as they are associated with improvements in grain protein content as well as in baking quality parameters, without any apparent negative effects on grain yield. The inclusion of these genes has been shown to have additional benefits such as balanced dough properties, increased mineral levels, and improved stripe rust resistance.

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Shining Light on Digital Agriculture: Linking Soil NIR measurements, Fertility, and Crop Yields

Currently the commercial soil testing is reliant on methods that are not compatible with modern emphasis on large datasets and rapid sensing. Spectral-based NIR sensing systems have the potential to reduce per-sample analysis costs by more than 90%, while producing near-instantaneous results in the field. The main goal of this project is to develop methodology to link field NIR data and laboratory analyses by combining the large datasets and advanced data processing techniques with a novel FT-NIR field probe.

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Identification and exploitation of genome structural variants for trait improvement in Prairie crops

This project will identify and catalog the structural variants (SVs) in wheat and canola genome from multiple diverse lines. These variants will be further exploited to identify regions/genes associated with breeder’s traits of interest (yield and/or stress tolerance) and to develop new varieties for better yield and stress tolerance and climate-resilient wheat and canola.

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Physical IPM Strategies for Remediating Kochia Patches for Canola, Wheat, and Pulse Production

This project aims to evaluate physical control measures for kochia and to better understand the underlying abiotic and biotic ecology within kochia patches to accelerate remediation. Physical control measures for kochia are critically important due to the rapid development and spread of multiple herbicide resistance to Groups 2, 4, and 9 within kochia in western Canada.

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Targeting reproductive and spike traits for improving grain yields in wheat

This project will focus on the genetic improvement of wheat to increase yield through major yield contributing factors such as grain number, grain weight, spike fertility, optimal partitioning to grain, and improved grain filling (“spike traits”). The research will explore the wheat lines that the team has already developed with specific spike traits along with the additional resources representing land races, genotypes, and germplasm collections of CIMMYT.

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Physical IPM Strategies for Remediating Kochia Patches for Canola, Wheat, and Pulse Production

This project aims to evaluate physical control measures for kochia and to better understand the underlying abiotic and biotic ecology within kochia patches to accelerate remediation. Physical control measures for kochia are critically important due to the rapid development and spread of multiple herbicide resistance to Groups 2, 4, and 9 within kochia in Western Canada.

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Increasing grain yield in CWRS wheat while maintaining grain protein levels and baking quality

This project focuses on developing CWRS wheat cultivars that are 10-15% higher yielding while meeting protein and baking quality targets. The information that will be generated from this project will address the feasibility of achieving simultaneous genetic improvement in grain yield and baking quality-related traits to develop more resource-use efficient varieties.

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Managing carbon for soil health in wheat-based cropping systems

This project will take advantage of a simple residue manipulation experiment that has been maintained for 20 years at AAFC Lethbridge. To assess soil health, the researchers will merge data on crop yields and soil C and N stocks. This will enable them to construct long-term C and N budgets indicating inputs to and outputs from contrasting treatments, which will be used to further the development of the greenhouse gas calculator, known as Holos. The project also will enable the researchers to study the effects of residues and fertilization on available plant N, which is a critical determinant of yield and profitability.

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Varietal mixtures to discourage wheat pests, manage pest populations, and stabilize yield across environments

Very little is known about the performance of wheat varietal mixtures (VMs) in response to various pests in large scale mechanized farming systems in Western Canada. This project will study the management of pests and diseases to increase the reliability of wheat VMs. The aim of the project is to evaluate the performance of CPSR and CWRS wheat VMs for disease reduction in marginally and conventionally managed lands. The results are expected to help producers decide which wheat VMs to use based on characteristics and benefits.

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Determining best management practices for integrated maturity management in CWRS wheat production

This project combines the results of previous studies to determine optimal varietal choice and planting time; employing early and late planting with early and late maturing cultivars presently available to western Canadian wheat growers. This will aid in refining best management practices for optimal yield and harvest quality (including protein and falling number) for hard red spring wheat production in Western Canada.

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Unraveling and stacking of grain protein genes in durum to keep pace with yield increases through breeding

Thus, this project focuses on understanding the genes involved in high yield and high protein in Canadian germplasm such as AAC GoldNet, a recently registered cultivar with simultaneous increase in yield and protein. The objective is to map and identify high grain protein content QTL and verify QTL that are “keeping pace” with grain yield improvement using double haploid populations.

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Shining Light on Digital Agriculture: Linking Soil NIR measurements, Fertility, and Crop Yields

The main goal of this project is to develop methodology to link field NIR data and laboratory analyses by combining the large datasets and advanced data processing techniques with a novel FT-NIR field probe. Currently the commercial soil testing is reliant on methods that are not compatible with modern emphasis on large datasets and rapid sensing. Spectral-based NIR sensing systems have the potential to reduce per-sample analysis costs by more than 90%, while producing near-instantaneous results in the field.

Read More