Making Weather- and Climate-Dependent Crop-Management Decisions

2022 ◽  
pp. 128-139
Author(s):  
Gerald F. Arkin ◽  
William A. Dugas
Keyword(s):  
Crop Management ◽  
Management Decisions ◽  
Weather And Climate

Evaluation of on-farm crop management decisions on canola productivity

2014 ◽  
Vol 94 (1) ◽  
pp. 131-139 ◽  
Author(s):  
Chang Liu ◽  
Yantai Gan ◽  
Lee Poppy
Keyword(s):  
Seed Yield ◽  
Combine Method ◽  
Crop Management ◽  
Western Canada ◽  
Key Factors ◽  
Management Decisions ◽  
Data Set ◽  
K Fertilizer ◽  
Farm Crop ◽  
On Farm

Liu, C., Gan, Y. and Poppy, L. 2014. Evaluation of on-farm crop management decisions on canola productivity. Can. J. Plant Sci. 94: 131–139. This study determined key factors affecting canola productivity in western Canada and evaluated the differences among soil-climatic zones in canola crops responding to the key agronomic factors. A total of 68 canola farm fields were randomly selected in western Canada, and multiple correspondence analysis, coupled with multivariate predictive model with partial least squares projection and regressions, was used to analyze the data set. Canola produced in Alberta averaged 2500 kg ha−1, and was 23% greater than canola produced in southern Saskatchewan, 10% greater than canola produced in northern Saskatchewan, and 59% greater than canola produced in Manitoba. Canola produced on chem-fallow averaged 2557 kg ha−1, and was 17% greater than canola grown on cereal stubble, or 43% greater than canola grown on pea/lentil, corn stubble. Canola grown on canola stubble produced 54% of the seed yield as canola grown on cereal stubble, or 46% of the seed yield as canola grown on chem-fallow. Shallow and earlier seeding with narrow row spacing increased canola seed yields consistently. Canola receiving K fertilizer increased seed yield by an average of 25% compared with those receiving no K fertilizer. Straight combine resulted in 500 kg ha−1 or 24% more seed yield than conventional swath-combine method. Those key factors may serve as the first-hand information in the development of sound guidelines for less experienced canola producers in western Canada.

Node and branch development of chickpea in a semiarid environment

2006 ◽  
Vol 86 (Special Issue) ◽  
pp. 1333-1337 ◽  
Author(s):  
Y. T. Gan ◽  
J. Wang ◽  
L. B. Poppy
Keyword(s):  
Cicer Arietinum ◽  
Crop Management ◽  
Growth Period ◽  
Management Decisions ◽  
Agronomic Practices ◽  
Time Requirements ◽  
Branch Development ◽  
The One ◽  
Foliar Fungicide ◽  
Node Development

Node development of a crop plant can be used as a reference in making crop management decisions such as timing foliar fungicide application. A study was conducted in southwest Saskatchewan in 2001 and 2002 to characterize the nodal development, branching, and thermal time requirements on the main stem (MS) and on the branches of chickpea (Cicer arietinum L.). Large (9.1–11.0 mm) and small (8.1–9.0 mm) diameter seeds were planted at early-, normal-, and late-seeding dates in each year, and the crop was grown with recommended agronomic practices. The MS nodes were numbered upwards from the plant base, with the 1st node being the one immediately above the hypocotyls. All branches were identified and named in correspondence with their positions on the MS. The total number of nodes produced on the MS was 20 in the dry year of 2001 and 24 in the wet year of 2002, and their appearance was a function of growing-degree-days (GDD). The rate of the branch development in 2001 was greater compared with 2002 due to higher temperatures during the vegetative growth period. On average, branches No. 1 and 2 required 40 to 50 GDD units to emerge from the MS, while the emergence of branches No. 5 and 6 required 80 to 120 GDD units. Nodes on the branches that were positioned on the upper stems required more GDD units to develop compared with nodes on the branches that were positioned at the bottom of the MS. To use node development as a reference for crop management decisions in chickpea, one should bear in mind that the GDD requirements vary with node and branch positions on the culm. Key words: Cicer arietinum, legume, plant architecture, foliar fungicide, morphology

Actor Model for Farmers’ Crop Management Decisions: The DeepFarming Model

2016 ◽  
pp. 317-322
Author(s):  
Tatjana Krimly ◽  
Josef Apfelbeck ◽  
Marco Huigen ◽  
Stephan Dabbert
Keyword(s):  
Crop Management ◽  
Actor Model ◽  
Management Decisions

The value of skill in seasonal climate forecasting to wheat crop management in a region with high climatic variability

1996 ◽  
Vol 47 (5) ◽  
pp. 717 ◽  
Author(s):  
GL Hammer ◽  
DP Holzworth ◽  
R Stone
Keyword(s):  
Crop Management ◽  
Seasonal Forecast ◽  
Seasonal Forecasting ◽  
Wheat Crop ◽  
Phase System ◽  
Management Decisions ◽  
Seasonal Climate ◽  
Climate Forecasting ◽  
Daily Weather Data ◽  
Forecast Quality

In Australia, and particularly in the northern part of the grain belt, wheat is grown in an extremely variable climate. The wheat crop manager in this region is faced with complex decisions on choice of planting time, varietal development pattern, and fertiliser strategy. A skilful seasonal forecast would provide an opportunity for the manager to tailor crop management decisions more appropriately to the season. Recent developments in climate research have led to the development of a number of seasonal climate forecasting systems. The objectives of this study were to determine the value of the capability in seasonal forecasting to wheat crop management, to compare the value of the existing forecast methodologies, and to consider the potential value of improved forecast quality. We examined decisions on nitrogen (N) fertiliser and cultivar maturity using simulation analyses of specific production scenarios at a representative location (Goondiwindi) using long-term daily weather data (1894-1989). The average profit and risk of making a loss were calculated for the possible range of fixed (i.e. the same every year) and tactical (i.e. varying depending on seasonal forecast) strategies. Significant increase in profit (up to 20%) and/or reduction in risk (up to 35%) were associated with tactical adjustment of crop management of N fertiliser or cultivar maturity. The forecasting system giving greatest value was the Southern Oscillation Index (SOI) phase system of Stone and Auliciems (1992), which classifies seasons into 5 phases depending on the value and rate of change in the SOI. The significant skill in this system for forecasting both seasonal rainfall and frost timing generated the value found in tactical management of N fertiliser and cultivar maturity. Possible impediments to adoption of tactical management, associated with uncertainties in forecasting individual years, are discussed. The scope for improving forecast quality and the means to achieve it are considered by comparing the value of tactical management based on SO1 phases with the outcome given perfect prior knowledge of the season. While the analyses presented considered only one decision at a time, used specific scenarios, and made a number of simplifying assumptions, they have demonstrated that the current skill in seasonal forecasting is sufficient to justify use in tactical management of crops. More comprehensive studies to examine sensitivities to location, antecedent conditions, and price structure, and to assumptions made in this analysis, are now warranted. We have examined decisions related only to management of wheat. It would be appropriate to pursue similar analyses in relation to management decisions for other crops, cropping sequences, and the whole farm enterprise mix.

Applied crop physiology: understanding the fundamentals of grain crop management

2021 ◽  
Keyword(s):  
Plant Growth ◽  
Precision Agriculture ◽  
Crop Production ◽  
Cropping Systems ◽  
Crop Management ◽  
Planting Date ◽  
Future Climate Change ◽  
Row Spacing ◽  
Management Decisions ◽  
The Future

Abstract This book contains 5 chapters that presents a simple, straightforward discussion of the principles and processes involved in the production of grain yield by agronomic crops, and how these processes underlie and influence management decisions. The focus is on grain crops, principally maize and soybean, although the general principles apply equally well to cereals, grain legumes and oil crops. Management decisions define all cropping systems - what (crop species, variety), where (climate), when (planting date), and how (row spacing and population density) are the fundamental choices. Knowledge of the fundamental processes responsible for plant growth and the accumulation of yield simplifies the decision-making process and leads to improved management decisions, higher grain yields, and cropping systems that are efficient, resilient and sustainable. The contents include basic plant growth processes (e.g. photosynthesis, respiration, evapotranspiration); growth and production of yield; crop management (seed quality, variety selection, planting date, row spacing); and crop production in the future (climate change, GMOs, precision agriculture and new crops). This books is intended for researchers in crop science, agronomy and plant science, and crop production practitioners. This book will enable readers to make better, more informed management decisions; decisions that will help maintain a well-fed world in the future.

scholarly journals Maize system impacts of cover crop management decisions: A simulation analysis of rye biomass response to planting populations in Iowa, U.S.A.

2019 ◽  
Vol 176 ◽  
pp. 102651 ◽  
Author(s):  
Guillermo S. Marcillo ◽  
Sarah Carlson ◽  
Meghan Filbert ◽  
Thomas Kaspar ◽  
Alejandro Plastina ◽  
...  
Keyword(s):  
Cover Crop ◽  
Simulation Analysis ◽  
Crop Management ◽  
Management Decisions
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