Interspecific root interactions enhance photosynthesis and biomass of intercropped millet and peanut plants

2019 ◽  
Vol 70 (3) ◽  
pp. 234
Author(s):  
Xiaojin Zou ◽  
Zhanxiang Sun ◽  
Ning Yang ◽  
Lizhen Zhang ◽  
Wentao Sun ◽  
...  
Keyword(s):  
Crop Yields ◽  
Positive Root ◽  
Foxtail Millet ◽  
Phosphoglycerate Kinase ◽  
Plant Productivity ◽  
Photosynthetic Rates ◽  
Interspecific Facilitation ◽  
Growing Seasons ◽  
Root Interactions ◽  
Root Barrier

Intercropping is commonly practiced worldwide because of its benefits to plant productivity and resource-use efficiency. Belowground interactions in these species-diverse agro-ecosystems can greatly contribute to enhancing crop yields; however, our understanding remains quite limited of how plant roots might interact to influence crop biomass, photosynthetic rates, and the regulation of different proteins involved in CO2 fixation and photosynthesis. We address this research gap by using a pot experiment that included three root-barrier treatments with full, partial and no root interactions between foxtail millet (Setaria italica (L.) P.Beauv.) and peanut (Arachis hypogaea L.) across two growing seasons. Biomass of millet and peanut plants in the treatment with full root interaction was 3.4 and 3.0 times higher, respectively, than in the treatment with no root interaction. Net photosynthetic rates also significantly increased by 112–127% and 275–306% in millet and peanut, respectively, with full root interaction compared with no root interaction. Root interactions (without barriers) contributed to the upregulation of key proteins in millet plants (i.e. ribulose 1,5-biphosphate carboxylase; chloroplast β-carbonic anhydrase; phosphoglucomutase, cytoplasmic 2; and phosphoenolpyruvate carboxylase) and in peanut plants (i.e. ribulose 1,5-biphosphate carboxylase; glyceraldehyde-3-phosphate dehydrogenase; and phosphoglycerate kinase). Our results provide experimental evidence of a molecular basis that interspecific facilitation driven by positive root interactions can contribute to enhancing plant productivity and photosynthesis.

scholarly journals Disentangling the Association of Corn Root Mycobiome With Plant Productivity and the Importance of Soil Physicochemical Balance in Shaping Their Relationship

2021 ◽  
Vol 5 ◽  
Author(s):  
Saveetha Kandasamy ◽  
Nimalka Weerasuriya ◽  
Geetha Subramanian ◽  
R. Greg Thorn ◽  
Greg Patterson ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Crop Yields ◽  
Chemical Properties ◽  
Plant Productivity ◽  
Crop Productivity ◽  
High Yield ◽  
Major Influence ◽  
Fungal Abundance ◽  
Α Diversity ◽  
Physical And Chemical

Soil bacteria and fungi are integral parts of healthy ecosystem functioning in production agriculture. The effects of fungal abundance and diversity on crop productivity is poorly understood. We sampled 10 corn farms at the V10 growth stage across southwestern Ontario, Canada, using aerial infrared imaging to identify zones of low and high productive corn plants. Roots and soils were sampled from low and high yield zones and soil physical and chemical properties were measured in conjunction with assessment of the root mycobiome communities using Illumina MiSeq sequencing of 4 rRNA amplicons. Higher crop yields were associated with sites having greater fungal phylogenetic diversity and Fisher's α diversity. Indicator species associated with high and low yield sites within a farm could be identified but there were no shared fungal indicators of productivity differences across farms. Communities largely varied across locations despite crop genetics, demonstrating a major influence of soil texture and chemistry in shaping the mycobiome in a site-specific manner. Across all 4 primers, roots from high-yielding sites shared 35 major OTUs including Penicillium spp., Trichoderma, Chalara fungorum, and Gibellulopsis. Low-yielding sites shared 31 OTUs including Fusarium spp., Pythium, Setophoma terrestris, and Neonectria. Soil physical and chemical parameters that contributed to broad scale differences in yield and mycobiome diversity included: %clay, %sand, %phosphorus saturation, cation exchange capacity, aluminum, pH, iron, potassium, %moisture, organic matter, and chlorine. The results show the importance of physicochemical balance in shaping the relationship between root mycobiome and plant productivity.

scholarly journals Impact of Organomineral Fertilization Systems on the Yield of Field Crops and Changes in the Productivity of Crop Rotation on Irrigated Ordinary Carbonate Chernozems of the Central Ciscaucasia

2021 ◽  
Vol 262 ◽  
pp. 01039
Author(s):  
Ruslan Bizhoev ◽  
Sarina Konova ◽  
Asiyat Sarbasheva ◽  
Olga Batyrova ◽  
Rada Gazheva
Keyword(s):  
Crop Rotation ◽  
Crop Yields ◽  
Humus Content ◽  
Mineral Fertilizer ◽  
Organic Fertilizers ◽  
Caucasus Region ◽  
Growing Seasons ◽  
Central Caucasus ◽  
The Impact ◽  
By Products

The paper presents the research results of the impact of different fertilization systems - mineral and organic, using intercropping of green manure crops, biological resources (straw of grain crops, foliar of maize) on crop yields of grain rotating crops - winter wheat, maize, peas and the productivity of hectare of arable black land of ordinary carbonate chernozem in dryland conditions of the Central Caucasus region with different indicators of growing seasons. The scientific novelty of the paper is the identification of optimum-rational fertilization systems and the justification of the influence of the studied fertilization systems and the use of by-products of the crop rotation, which make it possible to obtain stable crop yields and maintain the humus content in the soil. The work defines the efficiency of the use of different mineral fertilizer doses in combination with organic fertilizers, which form the highest crop yield and crop rotation productivity.

scholarly journals Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils

Data ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 66
Author(s):  
Seong Do Yun ◽  
Benjamin M. Gramig
Keyword(s):  
Spatial Data ◽  
Crop Yields ◽  
Original Data ◽  
Data Sources ◽  
Weather Data ◽  
Climatic Data ◽  
Soil Characteristic ◽  
Growing Seasons ◽  
Aggregation And Disaggregation ◽  
Agricultural Yields

Agro-climatic data by county (ACDC) is designed to provide the major agro-climatic variables from publicly available spatial data sources to diverse end-users. ACDC provides USDA NASS annual (1981–2015) crop yields for corn, soybeans, upland cotton and winter wheat by county. Customizable growing degree days for 1 °C intervals between −60 °C and +60 °C, and total precipitation for two different crop growing seasons from the PRISM weather data are included. Soil characteristic data from USDA-NRCS gSSURGO are also provided for each county in the 48 contiguous US states. All weather and soil data are processed to include only data for land being used for non-forestry agricultural uses based on the USGS NLCD land cover/land use data. This paper explains the numerical and geo-computational methods and data generating processes employed to create ACDC from the original data sources. Essential considerations for data management and use are discussed, including the use of the agricultural mask, spatial aggregation and disaggregation, and the computational requirements for working with the raw data sources.

Evaluating Soil Solarization for Weed Control and Strawberry (Fragariaxananassa) Yield in Annual Plasticulture Production

2017 ◽  
Vol 31 (3) ◽  
pp. 455-463 ◽  
Author(s):  
Jayesh B. Samtani ◽  
Jeffrey Derr ◽  
Mikel A. Conway ◽  
Roy D. Flanagan
Keyword(s):  
Data Collection ◽  
Weed Control ◽  
Crop Yield ◽  
Crop Yields ◽  
Growing Season ◽  
Field Studies ◽  
Soil Solarization ◽  
Row Spacing ◽  
Weed Density ◽  
Growing Seasons

Field studies were initiated in the 2013-14 and 2014-15 growing seasons to evaluate the potential of soil solarization (SS) treatments for their efficacy on weed control and crop yields and to compare SS to 1,3-dichloropropene (1,3-D)+chloropicrin (Pic) fumigation. Each replicate was a bed with dimension 10.6 m long by 0.8 m wide on top. The center 4.6 m length of each bed, referred to as plots, was used for strawberry plug transplanting and data collection. Treatments included: i) 1,3-D+Pic (39% 1,3-dichloropropene+59.6% chloropicrin) that was shank-fumigated in beds at 157 kg ha−1and covered with VIF on August 30 in both seasons; ii) SS for a 6 wk duration initiated on August 15, 2013 and August 21, 2014 by covering the bed with 1 mil clear polyethylene tarp; iii) SS for a 4wk duration initiated on September 6, 2013 and September 3, 2014; iv) SS 4 wk treatment initiated September 6, 2013 and September 3, 2014 and replaced with black VIF on October 4, 2013 and October 1, 2014 and v) a nontreated control covered with black VIF on October 4, 2013 and October 1, 2014. In both seasons, following completion of the preplant treatments, ‘Chandler’ strawberry was planted in two rows at a 36 cm in-row spacing in plots during the first wk of October. Over both seasons, the 6 wk SS treatment consistently lowered the weed density compared to the nontreated control. Weed density in the 6wk SS treatment was not statistically different from the 4wk SS treatments in the 2013-14 growing season. In both seasons, crop yield in the 4 wk SS was significantly lower than other treatments.

scholarly journals Analysing the spatio-temporal impacts of the 2003 and 2010 extreme heatwaves on plant productivity in Europe

2014 ◽  
Vol 11 (13) ◽  
pp. 3421-3435 ◽  
Author(s):  
A. Bastos ◽  
C. M. Gouveia ◽  
R. M. Trigo ◽  
S. W. Running
Keyword(s):  
High Temperatures ◽  
Western Europe ◽  
Crop Yields ◽  
Plant Productivity ◽  
Carbon Uptake ◽  
Respiration Rates ◽  
Extreme Response ◽  
Climatic Event ◽  
Spatio Temporal ◽  
Very High

Abstract. In the last decade, Europe has been stricken by two outstanding heatwaves, the 2003 event in western Europe and the 2010 episode over Russia. Both events were characterized by record-breaking temperatures and widespread socio-economic impacts, including significant increments on human mortality, decreases in crop yields and in hydroelectric production. Previous works have shown that an extreme climatic event does not always imply an extreme response by ecosystems. This work attempts to assess how extreme was the vegetation response to the heatwaves during 2003 and 2010 in Europe, in order to quantify the impacts of the two events on carbon fluxes in plant productivity and to identify the physical drivers of the observed response. Heatwave impacts in vegetation productivity were analysed using MODIS products from 2000 to 2011. Both 2003 and 2010 events led to marked decreases in plant productivity, well below the climatological range of variability, with carbon uptake by vegetation during August reaching negative anomalies of more than 2 standard deviations, although the 2010 event affected a much larger extent. A differentiated response in autotrophic respiration was observed, depending on land-cover types, with forests increasing respiration rates in response to the heatwaves, while in crops respiration rates decreased. The widespread decrease in carbon uptake matched the regions where very high temperature values were also preceded by a long period of below-average precipitation, leading to strong soil moisture deficits. In the case of the 2003 heatwave, results indicate that moisture deficits coupled with high temperatures drove the extreme response of vegetation, while for the 2010 event very high temperatures appear to be the sole driver of very low productivity.

Robust method for estimating grain yield in western Kenya during the growing seasons

2014 ◽  
Vol 6 (2) ◽  
pp. 313-324 ◽  
Author(s):  
Edward M. Mugalavai ◽  
Emmanuel C. Kipkorir
Keyword(s):  
Grain Yield ◽  
Crop Yields ◽  
Climatic Conditions ◽  
Strongly Correlated ◽  
Maize Crop ◽  
Western Kenya ◽  
Growing Seasons ◽  
Seasonal Characteristics ◽  
Aquacrop Model

Uncertainties caused by climate change and population explosion require suitable methods for estimating grain yield during the growing seasons. This paper evaluates the applicability of the AquaCrop model in the region of western Kenya. The objectives of the study were to: simulate the long-term maize crop yields for the region using AquaCrop model for variable climate scenarios, and estimate the expected yield for the ongoing season. Climate was classified into below normal (<x̅ − 1∂), normal (between x̅ − 1∂ and x̅ + 1∂) and above normal (>x̅ + 1∂) conditions based on the Kenya Meteorological Department (KMD) convention. Simulation of grain yield was based on model calibration results, periodic KMD forecasts and the long-term mean for the seasons. The calibrated model is able to estimate both long-term seasonal grain yield and expected harvest for the ongoing season based on climatic conditions that are compared with the long-term seasonal characteristics and complemented by meteorological forecasts. The ongoing season yield simulation was based on persistence theory of Markov processes whose results strongly correlated (r = 0.9) with actual seasonal observed yield.

Soil Solarization Controls Broomrapes (Orobanchespp.) in Host Vegetable Crops in the Jordan Valley

1991 ◽  
Vol 5 (3) ◽  
pp. 575-581 ◽  
Author(s):  
B. E. Abu-Irmaileh
Keyword(s):  
Crop Yields ◽  
Growing Season ◽  
Field Trials ◽  
Soil Solarization ◽  
Soil Tillage ◽  
Vegetable Crops ◽  
Jordan Valley ◽  
Deep Soil ◽  
Growing Seasons ◽  
Tomato Field

The effectiveness of soil solarization with black (BPE) and clear polyethylene mulches (CPE), 0.04 and 0.06 mm thick, respectively, was tested during the 1986 to 1990 growing seasons for controlling Egyptian broomrape, hemp broomrape and nodding broomrape in heavily infested fields. Solarization for 6 wk reduced or eliminated broomrape infestation and improved crop yields. The CPE started to show splitting and deterioration after 4 to 5 wk of solarization. The BPE lasted in usable conditions throughout the growing season. Deep soil tillage with the hand hoe, after solarization, caused broomrape to reappear. Crops grew best in plots after solarization with BPE if they were planted through the same mulch after it was perforated. Soil solarization with BPE or CPE in large tomato field trials, completely eliminated both nodding and hemp broomrapes during the growing season. However, greenhouse pot experiments indicated that solarization significantly reduced weed seedling numbers, but did not significantly reduce the dry weights of the broomrape plants that emerged in the soil samples taken from solarized plots.

scholarly journals Visualizing polymeric components that define distinct root barriers across plant lineages

Development ◽  
2021 ◽  
Vol 148 (23) ◽  
Author(s):  
Moritz Sexauer ◽  
Defeng Shen ◽  
Maria Schön ◽  
Tonni Grube Andersen ◽  
Katharina Markmann
Keyword(s):  
Fluorescent Proteins ◽  
Chemical Compositions ◽  
Plant Interactions ◽  
Root Interactions ◽  
Similar Chemical ◽  
Root Barriers ◽  
Root Barrier ◽  
Dynamics And Function ◽  
Phylogenetic Lineages ◽  
And Function

ABSTRACT Hydrophobic cell wall depositions in roots play a key role in plant development and interaction with the soil environment, as they generate barriers that regulate bidirectional nutrient flux. Techniques to label the respective polymers are emerging, but are efficient only in thin roots or sections. Moreover, simultaneous imaging of the barrier constituents lignin and suberin remains problematic owing to their similar chemical compositions. Here, we describe a staining method compatible with single- and multiphoton confocal microscopy that allows for concurrent visualization of primary cell walls and distinct secondary depositions in one workflow. This protocol permits efficient separation of suberin- and lignin-specific signals with high resolution, enabling precise dissection of barrier constituents. Our approach is compatible with imaging of fluorescent proteins, and can thus complement genetic markers or aid the dissection of barriers in biotic root interactions. We further demonstrate applicability in deep root tissues of plant models and crops across phylogenetic lineages. Our optimized toolset will significantly advance our understanding of root barrier dynamics and function, and of their role in plant interactions with the rhizospheric environment.

scholarly journals The GGCMI phase II emulators: global gridded crop model responses to changes in CO<sub>2</sub>, temperature, water, and nitrogen (version 1.0)

2020 ◽  
Author(s):  
James Franke ◽  
Christoph Müller ◽  
Joshua Elliott ◽  
Alex C. Ruane ◽  
Jonas Jägermeyr ◽  
...  
Keyword(s):  
Phase Ii ◽  
Crop Yields ◽  
Crop Model ◽  
Climate Impacts ◽  
Future Climate ◽  
Yield Response ◽  
Crop Models ◽  
Growing Seasons ◽  
Nitrogen Inputs ◽  
Temperature Water

Abstract. Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop yields. We describe here the development of emulators for nine process-based crop models and five crops using output from the Global Gridded Model Intercomparison Project (GGCMI) Phase II. The GGCMI Phase II experiment is designed with the explicit goal of producing a structured training dataset for emulator development that samples across four dimensions relevant to crop yields: atmospheric carbon dioxide (CO2) concentrations, temperature, water supply, and nitrogen inputs (CTWN). Simulations are run under two different adaptation assumptions: that growing seasons shorten in warmer climates, and that cultivar choice allows growing seasons to remain fixed. The dataset allows emulating the climatological mean yield response without relying on interannual variations; we show that these are quantitatively different. Climatological mean yield responses can be readily captured with a simple polynomial in nearly all locations, with errors significant only in some marginal lands where crops are not currently grown. In general, emulation errors are negligible relative to differences across crop models or even across climate model scenarios. We demonstrate that the resulting GGCMI emulators can reproduce yields under realistic future climate simulations, even though the GGCMI Phase II dataset is constructed with uniform CTWN offsets, suggesting that effects of changes in temperature and precipitation distributions are small relative to those of changing means. The resulting emulators therefore capture relevant crop model responses in a lightweight, computationally tractable form, providing a tool that can facilitate model comparison, diagnosis of interacting factors affecting yields, and integrated assessment of climate impacts.

Sign in / Sign up

Export Citation Format

Share Document