Productivity and break crop effects of winter-growing oilseeds

1991 ◽  
Vol 31 (5) ◽  
pp. 669 ◽  
Author(s):  
JF Angus ◽  
AFvan Herwaarden ◽  
GN Howe ◽  
Herwaarden AF Van
Keyword(s):  
Water Use ◽  
Stem Elongation ◽  
Wheat Yield ◽  
Indian Mustard ◽  
Canopy Cover ◽  
Shoot Density ◽  
Wheat Crop ◽  
First Year ◽  
Crop Species ◽  
Previous Crop

Productivity, water use and nitrogen (N) use of the oilseeds canola, Indian mustard and linseed were compared with those of wheat and oats in a field experiment in the Riverina. In the following year wheat was grown on the same land and the same attributes were measured. In the first year, wheat productivity exceeded that of all other crops in terms of yield, dry matter production, uptake and the production value (expressed in the common units of the mass of glucose assimilated) of grain and straw. There was no association between productivity and water use, but the cereals had greater canopy cover and, presumably, a greater proportion of the water was transpired rather than evaporated from the soil. In the following year the wheat yield varied with the previous crop species in the order Indian mustard > canola > linseed > oats > wheat. The advantage of the oilseeds to the subsequent wheat crop was evident in terms of shoot density from the stem elongation stage. At the time of maturity, wheat following Indian mustard had extracted more soil water than wheat following canola or wheat following wheat. The early growth advantage to wheat following oilseeds was presumed to be associated with less soil-borne disease. The advantage to wheat following linseed did not persist after anthesis. The advantage to wheat following Indian mustard over wheat following canola appeared to be partly due to greater depletion of subsoil water during the later phases of growth.

WHEAT YIELD AND WATER USE EFFICIENCY UNDER CONTRASTING RESIDUE AND TILLAGE MANAGEMENT SYSTEMS IN A SEMIARID AREA OF MOROCCO

2002 ◽  
Vol 38 (2) ◽  
pp. 237-248 ◽  
Author(s):  
R. Mrabet
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Wheat Yield ◽  
Conventional Tillage ◽  
Wheat Crop ◽  
No Tillage ◽  
Partial Removal ◽  
No Till ◽  
Management Technology ◽  
Use Efficiency

Wheat (Triticum aestivum) production using no-tillage is becoming an increasingly accepted management technology. Major obstacles to its adoption in Morocco, however, are exportation of wheat straw from the field and stubble grazing. Among pertinent solutions is the control of these practices. A four-year field study was conducted to determine the effect of residue level under no-tillage on wheat grain and total dry-matter yields, water use and water-use efficiency, and to compare this with conventional tillage systems. The aim was to evaluate whether all the straw produced is needed for no-till cropping or whether partial removal of straw from the field is possible without any adverse effect on production. No-tillage and deep tillage with disk plough performed equally well and subsurface tillage with an off-set disk produced the lowest yields. Both bare and full no-tillage covers depressed wheat production. Uo to 30% of straw produced under no-tillage can be removed without jeopardizing wheat crop performance.

Grain yield and N benefits to sequential wheat and barley crops from single-year alfalfa, berseem and red clover, chickling vetch and lentil

2002 ◽  
Vol 82 (1) ◽  
pp. 53-65 ◽  
Author(s):  
W. J. Bullied ◽  
M. H. Entz ◽  
S. R. Smith, Jr. ◽  
K. C. Bamford
Keyword(s):  
Field Experiments ◽  
Crop Yields ◽  
N Uptake ◽  
Wheat Yield ◽  
Cropping System ◽  
Wheat Crop ◽  
First Year ◽  
Silty Clay ◽  
Hordeum Vulgare L ◽  
N Content

Single-year hay alfalfas (Medicago sativa L.), berseem (Trifolium alexandrinum L.) and red clovers (Trifolium pratense L.), chickling vetch (Lathyrus sativus L.) and lentil (Lens culinaris Medik.) were evaluated for rotational yield and N benefits to the following first-year wheat (Triticum aestivum L.) and second-year barley (Hordeum vulgare L.) crops. Field experiments were initiated in 1997 and 1998 on a Riverdale silty clay soil at Winnipeg, Manitoba. Yield and N content of the following wheat crop were increased following legumes compared to wheat following a canola control. Wheat yield and N content averaged 2955 kg ha–1 and 76.1 kg ha–1, respectively, following the chickling vetch and lentil, 2456 kg ha–1 and 56.4 kg ha–1 following single-year hay legumes, compared with 1706 kg ha–1 and 37.9 kg ha–1 following canola. Non-dormant alfalfas (dormancy rating of eight or greater) contributed to larger grain yields than the dormant alfalfas only in the first year of each experiment. The chickling vetch and lentil provided similar or higher subsequent crop yields and N content for 2 yr compared to a canola control or fallow treatment. This study shows that some increase in yield can be achieved by using a single-year alfalfa hay crop instead of fallow; however, exclusive green manuring of chickling vetch and lentil crops can produce the most increase in yield and N uptake in subsequent crops. Key words: Alfalfa (single-year), legumes (annual), green manure, nitrogen, cropping system

Wheat response after temperate crop legumes in south-eastern Australia

1991 ◽  
Vol 42 (1) ◽  
pp. 31 ◽  
Author(s):  
J Evans ◽  
NA Fettell ◽  
DR Coventry ◽  
GE O'Connor ◽  
DN Walsgott ◽  
...  
Keyword(s):  
New South ◽  
Wheat Yield ◽  
Wheat Crop ◽  
First Year ◽  
Mineral N ◽  
Total N ◽  
Available N ◽  
Relative Contribution ◽  
South Wales ◽  
Eastern Australia

At 15 sites in the cereal belt of New South Wales and Victoria, wheat after lupin or pea produced more biomass and had a greater nitrogen (N) content than wheat after wheat or barley; on average these crops assimilated 36 kg N/ha more. The improved wheat yield after lupin averaged 0 . 9 t/ha and after pea 0.7 t/ha, increases of 44 and 32% respectively. The responses were variable with site, year and legume. Soil available N was increased by both lupin and pea and the levels of surface inorganic N measured at the maturity of first year crops was often related to N in wheat grown in the following year. Of two possible sources of additional N for wheat after legumes, namely mineral N conserved in soil by lupin or pea (up to 60 kg N/ha) and the total N added in the residues of these legumes (up to 152 kg N/ha), both were considered significant to the growth of a following wheat crop. Their relative contribution to explaining variance in wheat N is analysed, and it is suggested wheat may acquire up to 40 kg N/ha from legume stubbles. Non-legume break crops also increased subsequent wheat yield but this effect was not as great as the combined effect of added N and disease break attained with crop legumes.

scholarly journals Impacts of the Winter Pea Crop (Instead of Rapeseed) on Soil Microbial Communities, Nitrogen Balance and Wheat Yield

Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 548
Author(s):  
Cyrine Rezgui ◽  
Wassila Riah-Anglet ◽  
Marie Benoit ◽  
Pierre Yves Bernard ◽  
Karine Laval ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Enzyme Activities ◽  
Wheat Yield ◽  
Soil Microbial Communities ◽  
Wheat Crop ◽  
Mineral N ◽  
Soil Microbial ◽  
Previous Crop ◽  
The Impact ◽  
Crop Succession

Due to legume-based systems improving several aspects of soil fertility, the diversification of agrosystems using legumes in crop succession is gaining increasing interest. The benefits of legumes aroused the interest of farmers in the association of the Economic and Environmental Interest Group (EEIG), who introduced the idea of using the winter pea instead of rapeseed in their crop succession. The aim of this study is to evaluate the effects of the winter pea compared to those of rapeseed, as a head crop of the rotation, on soil microbial communities, enzyme activities, nitrogen (N) balance and yields. The field experiment involved two farmer plots that were selected within the EEIG. In each plot, two crop successions, including winter pea–wheat and rapeseed–wheat with fertilized and unfertilized strips, were examined for two years. Three times a year, under the wheat crop, composite soil samples were collected at depths of 0–20 cm, for microbial abundance and enzyme activity analyses, and twice a year at a depth of 0–60 cm, for the measuring of the mineral N. The results showed that the rapeseed–wheat succession maintained or enhanced soil bacterial and fungal biomasses and their enzyme activities. The winter pea–wheat succession enriched the soil’s mineral N content more consistently than the rapeseed–wheat succession. The mineral N enhancement’s effect was maintained under the wheat crop. Overall, the impact of the winter pea was positive on the soil’s N dynamics, but wheat yields were equivalent regardless of the previous crop (winter pea or rapeseed with and without fertilization). In the Normandy region, as rapeseed requires a large amount of N fertilizer and pesticide to maintain the yield and quality of crop products, it is suitable to favor the introduction of the winter pea as the head crop of the rotation, which indirectly allows for a reduction in the costs of input production and use, the working time of farmers and environmental pollution.

Forecasting wheat yield in a Mediterranean-type environment from the NOAA satellite

1995 ◽  
Vol 46 (1) ◽  
pp. 113 ◽  
Author(s):  
RCG Smith ◽  
J Adams ◽  
DJ Stephens ◽  
PT Hick
Keyword(s):  
Spatial Variation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Spatial Information ◽  
Stem Elongation ◽  
Wheat Yield ◽  
Growing Season ◽  
Wheat Crop ◽  
Canopy Development ◽  
Final Yield

This paper reports the relationship between the spatial variation in mean wheat yield/ha of 50 Local Government Areas in Western Australia and satellite measures of the Normalized Difference Vegetation Index (NDVI). Yield/ha was based on estimates of the area harvested and actual grain received by the Cooperative Bulk Handling Ltd. The study area covered 16.3 million ha, in which 2.9 million ha of wheat were sown and 4.66 million tonnes of grain harvested. This was 78% of the total Western Australian wheat crop. Spatial variations in NDVI in early July, at around stem elongation, accounted for 46% of the spatial variation in final yield. This increased to 56% of yield variance around the onset of anthesis at the end of August. It remained high until early November (48%) when crops were senescing or senescent. A combination of NDVI from late August and early November accounted for 70% of the yield variance. In comparison, total rainfall during the 1992 growing season from April to October, the main determinant of yield variations, accounted for 28% of the yield variation. The significant correlation of NDVI with final yield by the middle of the growing season 3 to 5 months before harvest indicates the feasibility of making useful yield forecasts from this time onwards. In addition, the NDVI could provide useful spatial information on the significance of the yield/canopy development/water use relationship which underlies this correlation.

Break crops and rotations for wheat

2015 ◽  
Vol 66 (6) ◽  
pp. 523 ◽  
Author(s):  
J. F. Angus ◽  
J. A. Kirkegaard ◽  
J. R. Hunt ◽  
M. H. Ryan ◽  
L. Ohlander ◽  
...  
Keyword(s):  
Wheat Yield ◽  
Grain Legumes ◽  
Yield Response ◽  
Wheat Crop ◽  
Potential Yield ◽  
Crop Species ◽  
Yield Increase ◽  
Yield Level ◽  
The Mean ◽  
Single Break

Wheat crops usually yield more when grown after another species than when grown after wheat. Quantifying the yield increase and explaining the factors that affect the increase will assist farmers to decide on crop sequences. This review quantifies the yield increase, based on >900 comparisons of wheat growing after a break crop with wheat after wheat. The mean increase in wheat yield varied with species of break crop, ranging from 0.5 t ha–1 after oats to 1.2 t ha–1 after grain legumes. Based on overlapping experiments, the observed ranking of break-crop species in terms of mean yield response of the following wheat crop was: oats < canola ≈ mustard ≈ flax < field peas ≈ faba beans ≈ chickpeas ≈ lentils ≈ lupins. The mean additional wheat yield after oats or oilseed break crops was independent of the yield level of the following wheat crop. The wheat yield response to legume break crops was not clearly independent of yield level and was relatively greater at high yields. The yield of wheat after two successive break crops was 0.1–0.3 t ha–1 greater than after a single break crop. The additional yield of a second wheat crop after a single break crop ranged from 20% of the effect on a first wheat crop after canola, to 60% after legumes. The mean yield effect on a third wheat crop was negligible, except in persistently dry conditions. The variability of the break-crop effect on the yield of a second wheat crop was larger than of a first wheat crop, particularly following canola. We discuss the responses in relation to mechanisms by which break crops affect soil and following crops. By quantifying the magnitude and persistence of break-crop effects, we aim to provide a basis for the decision to grow continuous cereal crops, strategic rotations or tactically selected break crops. In many wheat-growing areas, the large potential yield increases due to break crops are not fully exploited. Research into quantifying the net benefits of break crops, determining the situations where the benefits are greatest, and improving the benefits of break crops promises to improve the efficiency of wheat-based cropping systems.

Effects of Drip Irrigation Patterns on Wheat Yield and Water Use Efficiency in Heilonggang Region

2013 ◽  
Vol 39 (9) ◽  
pp. 1687 ◽  
Author(s):  
Zi-Jin NIE ◽  
Yuan-Quan CHEN ◽  
Jian-Sheng ZHANG ◽  
Jiang-Tao SHI ◽  
Chao LI ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Drip Irrigation ◽  
Wheat Yield ◽  
Use Efficiency ◽  
Irrigation Patterns

scholarly journals Does Green Really Mean Go? Increasing the Fraction of Green Photons Promotes Growth of Tomato but Not Lettuce or Cucumber

Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 637
Author(s):  
Paul Kusuma ◽  
Boston Swan ◽  
Bruce Bugbee
Keyword(s):  
Leaf Area ◽  
Stem Elongation ◽  
Wavelength Region ◽  
Sole Source ◽  
Dry Mass ◽  
Leaf Expansion ◽  
Photon Flux ◽  
Shade Avoidance ◽  
Crop Species ◽  
Blue Region

The photon flux in the green wavelength region is relatively enriched in shade and the photon flux in the blue region is selectively filtered. In sole source lighting environments, increasing the fraction of blue typically decreases stem elongation and leaf expansion, and smaller leaves reduce photon capture and yield. Photons in the green region reverse these blue reductions through the photoreceptor cryptochrome in Arabidopsis thaliana, but studies in other species have not consistently shown the benefits of photons in the green region on leaf expansion and growth. Spectral effects can interact with total photon flux. Here, we report the effect of the fraction of photons in the blue (10 to 30%) and green (0 to 50%) regions at photosynthetic photon flux densities of 200 and 500 µmol m−2 s−1 in lettuce, cucumber and tomato. As expected, increasing the fraction of photons in the blue region consistently decreased leaf area and dry mass. By contrast, large changes in the fraction of photons in the green region had minimal effects on leaf area and dry mass in lettuce and cucumber. Photons in the green region were more potent at a lower fraction of photons in the blue region. Photons in the green region increased stem and petiole length in cucumber and tomato, which is a classic shade avoidance response. These results suggest that high-light crop species might respond to the fraction of photons in the green region with either shade tolerance (leaf expansion) or shade avoidance (stem elongation).

scholarly journals Mapping Wheat Dry Matter and Nitrogen Content Dynamics and Estimation of Wheat Yield Using UAV Multispectral Imagery Machine Learning and a Variety-Based Approach: Case Study of Morocco

2021 ◽  
Vol 3 (1) ◽  
pp. 29-49
Author(s):  
Ghizlane Astaoui ◽  
Jamal Eddine Dadaiss ◽  
Imane Sebari ◽  
Samir Benmansour ◽  
Ettarid Mohamed
Keyword(s):  
Random Forest ◽  
Nitrogen Uptake ◽  
Dry Matter ◽  
Vegetation Indices ◽  
Wheat Yield ◽  
Wheat Crop ◽  
Multispectral Imagery ◽  
Biophysical Parameters ◽  
Phenological Stages ◽  
Wheat Varieties

Our work aims to monitor wheat crop using a variety-based approach by taking into consideration four different phenological stages of wheat crop development. In addition to highlighting the contribution of Red-Edge vegetation indices in mapping wheat dry matter and nitrogen content dynamics, as well as using Random Forest regressor in the estimation of wheat yield, dry matter and nitrogen uptake relying on UAV (Unmanned Aerial Vehicle) multispectral imagery. The study was conducted on an experimental platform with 12 wheat varieties located in Sidi Slimane (Morocco). Several flight missions were conducted using eBee UAV with MultiSpec4C camera according to phenological growth stages of wheat. The proposed methodology is subdivided into two approaches, the first aims to find the most suitable vegetation index for wheat’s biophysical parameters estimation and the second to establish a global model regardless of the varieties to estimate the biophysical parameters of wheat: Dry matter and nitrogen uptake. The two approaches were conducted according to six main steps: (1) UAV flight missions and in-situ data acquisition during four phenological stages of wheat development, (2) Processing of UAV multispectral images which enabled us to elaborate the vegetation indices maps (RTVI, MTVI2, NDVI, NDRE, GNDVI, GNDRE, SR-RE et SR-NIR), (3) Automatic extraction of plots by Object-based image analysis approach and creating a spatial database combining the spectral information and wheat’s biophysical parameters, (4) Monitoring wheat growth by generating dry biomass and wheat’s nitrogen uptake model using exponential, polynomial and linear regression for each variety this step resumes the varietal approach, (5) Engendering a global model employing both linear regression and Random Forest technique, (6) Wheat yield estimation. The proposed method has allowed to predict from 1 up to 21% difference between actual and estimated yield when using both RTVI index and Random Forest technique as well as mapping wheat’s dry biomass and nitrogen uptake along with the nitrogen nutrition index (NNI) and therefore facilitate a careful monitoring of the health and the growth of wheat crop. Nevertheless, some wheat varieties have shown a significant difference in yield between 2.6 and 3.3 t/ha.

Sign in / Sign up

Export Citation Format

Share Document