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Cost and return benchmarks for crops and forages : dark brown soil zone

Description

Annually, the Economics Section works directly with producers to stay informed of crop production costs and returns. The AgriProfit$ Business Analysis and Research Program collects information... More ≫

Description

Annually, the Economics Section works directly with producers to stay informed of crop production costs and returns. The AgriProfit$ Business Analysis and Research Program collects information that is used to generate key cropping benchmarks for the major soil zones of Alberta. Alberta’s Freedom of Information and Protection of Privacy Act (FOIP) protects producer information collected for this program. Annual benchmark reports enable producers to compare their productive, economic and financial performance to similar farming operations locally and provincially. Benchmark analysis is the first step in identifying cropping strengths and weaknesses. These reports contain cost and return information, and farm level financial performance.

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Cost and return benchmarks for crops and forages : grey wooded soil zone

Description

The AgriProfit$ Business Analysis and Research Program collects information that is used to generate key cropping benchmarks for the major soil zones of Alberta. Annual benchmark reports enable... More ≫

Description

The AgriProfit$ Business Analysis and Research Program collects information that is used to generate key cropping benchmarks for the major soil zones of Alberta. Annual benchmark reports enable producers to compare their productive, economic and financial performance to similar farming operations locally and provincially. Benchmark analysis is the first step in identifying cropping strengths and weaknesses. These reports contain cost and return information, and farm level financial performance.

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Cost and return benchmarks for crops and forages : Peace Region (thin black soil zone)

Description

The Economics and Competitiveness Branch of Agriculture and Forestry collects cost of production information annually from Alberta producers and uses this information to generate cropping... More ≫

Description

The Economics and Competitiveness Branch of Agriculture and Forestry collects cost of production information annually from Alberta producers and uses this information to generate cropping benchmarks for the major soil zones of Alberta. Annual benchmark reports enable producers to compare their productive, economic and financial performance to similar farming operations locally and provincially. This report contains cost and return information, and farm level financial performance for the Peace Region (thin black soil zone). Please note: Peace Region reports for the 2016 and 2018 crop seasons are being revised. The reports will be re-posted shortly.

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Limber and whitebark pine recovery in Alberta

Description

This annual publication provides a synopsis of provincial recovery implementation actions related to the whitebark pine and limber pine recovery plans. It supports accountability and transparency... More ≫

Description

This annual publication provides a synopsis of provincial recovery implementation actions related to the whitebark pine and limber pine recovery plans. It supports accountability and transparency in tracking and implementing recovery actions and priorities. A list of partner agencies supporting Alberta's recovery implementation is included.

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Modeling and comparing whole crop harvesting systems

Description

Presents the results of a 1997 examination of harvest methods to assess their suitability for whole-crop harvesting. The project examined the performance of a relatively new harvest technique... More ≫

Description

Presents the results of a 1997 examination of harvest methods to assess their suitability for whole-crop harvesting. The project examined the performance of a relatively new harvest technique known as the stripper header. Five methods of harvesting, including the stripper header, were then examined for their ability to efficiently collect and process grain, chaff and straw. Costs and revenues for each method were determined, and a net harvest product value was determined for each system by subtracting the total operating costs from the value of the commodities produced. In general, it appears that the economics of the system improves as the amount of processing in the field is reduced.

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Next agricultural policy framework : what we heard report : virtual consultations and on-line engagement June 11, 2021 through July 02, 2021

Description

The pan-Canadian agricultural policy framework is a federal-provincial-territorial initiative that supports strategic programs that support the development of Alberta's and Canada's agriculture... More ≫

Description

The pan-Canadian agricultural policy framework is a federal-provincial-territorial initiative that supports strategic programs that support the development of Alberta's and Canada's agriculture sector. This document summarizes the feedback received during a series of stakeholder roundtables and a public on-line survey that were held to garner public input into a new five-year pan-Canadian policy framework, expected to be in place by the spring 2021.

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Expanded individual tree diameter prediction models from tree height and other variables

Description

Based on the nonlinear least squares method and nonlinear mixed-effects modeling technique, provincial and subregion-specific tree diameter prediction models were developed for major Alberta tree... More ≫

Description

Based on the nonlinear least squares method and nonlinear mixed-effects modeling technique, provincial and subregion-specific tree diameter prediction models were developed for major Alberta tree species. These models predict individual tree diameters at breast height from tree heights (varies by report). They can be used at both the population and plot-specific levels with varying degrees of accuracy. Different procedures for making the predictions under different circumstances are presented. Examples of model application are demonstrated based on real data.

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Expanded individual tree height prediction models from tree diameter and other variables

Description

Based on the nonlinear least squares method and nonlinear mixed-effects modeling technique, provincial and subregion-specific tree diameter prediction models were developed for major Alberta tree... More ≫

Description

Based on the nonlinear least squares method and nonlinear mixed-effects modeling technique, provincial and subregion-specific tree diameter prediction models were developed for major Alberta tree species. These models predict individual tree diameters at breast height from tree heights (varies by report). They can be used at both the population and plot-specific levels with varying degrees of accuracy. Different procedures for making the predictions under different circumstances are presented. Examples of model application are demonstrated based on real data.

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Alberta agri-food exports

Description

This annual publication provides trends of Alberta's agri-food exports by product and country, and includes exports of primary agricultural commodities (live animals and crops) and processed... More ≫

Description

This annual publication provides trends of Alberta's agri-food exports by product and country, and includes exports of primary agricultural commodities (live animals and crops) and processed agricultural and food products.

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Best practice guide : the preparation for and verification of conservation cropping projects at reasonable level of assurance

Description

The purpose of this best practice guide is to provide the parties involved in creating compliance-quality conservation cropping offset credits (that is, participating farmers, project developers... More ≫

Description

The purpose of this best practice guide is to provide the parties involved in creating compliance-quality conservation cropping offset credits (that is, participating farmers, project developers and verifiers) with guidance on: GHG quantification considerations for agricultural offset projects/conservation cropping projects; general risks and data-related risks in conservation cropping projects; data integrity and controls to manage risks in conservation cropping projects; and sufficient and appropriate documentation and evidence for conservation cropping projects.

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