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European Journal of Agronomy
Gauthier-Villars
European Journal of Agronomy

Gauthier-Villars

1161-0301

European Journal of Agronomy/Journal European Journal of AgronomyISTPSCI
正式出版
收录年代

    The impacts of post-anthesis warming on grain yield and quality of double-cropping high-quality indica rice in Jiangxi Province, China

    Yang T.Xiong R.Tan X.Huang S....
    9页
    查看更多>>摘要：? 2022 Elsevier B.V.In southern China, climate warming threatens rice production in double rice cropping systems. However, the actual responses of grain yield and quality of high-quality indica rice to climate warming in double rice cropping systems are still unclear. Therefore, a 2-year field post-anthesis warming experiment was conducted by using two high-quality indica rice cultivars (e.g., Qiliangyou2012, early rice; Taiyou398, late rice). The results showed that post-anthesis warming (PAW) increased the rice canopy daily mean temperatures from heading to maturity by an average of 1.9 °C and 2.0 °C over the two years in the early and late rice seasons, respectively. The grain yield, filled grain percentage, and grain weight were not affected by PAW for either early or late rice in the two years. For early rice, PAW decreased the head rice rate and setback, whereas it increased the chalky grain rate, chalkiness, peak viscosity, breakdown, pasting temperature, protein and most amino acid contents. Similarly, the head rice rate, amylose content, and setback of late rice were decreased, whereas the chalky grain rate, chalkiness, peak viscosity, breakdown, protein and most amino acid contents were increased under PAW conditions. These results suggested that PAW worsened the grain milling and appearance qualities and improved the rice eating and nutritional qualities for both early and late rice, while it reduced the cooking quality of early rice. This study provides new insight into improving the grain yield and quality of high-quality indica rice in a double rice cropping system under future climate warming conditions.
      原文链接:
    • NSTL
    • Elsevier

    Rye cover crop and in-furrow fertilizer and fungicide impacts on corn optimum seeding rate and grain yield

    Quinn D.J.Poffenbarger H.J.Lee C.D.
    10页
    查看更多>>摘要：? 2022Higher corn seeding rates and in-furrow fertilizer and fungicide combinations may be effective tools to overcome early-season corn (Zea mays L.) stress, stand reductions, and yield loss following a rye (Secale cereale L.) cover crop (RCC). The objective of this research trial was to evaluate corn growth and yield response and optimum seeding rate requirement following a RCC and different in-furrow starter treatments. Trials were established at three Kentucky, USA locations (2017–20), 7 site-years to evaluate corn response to seeding rate (49,421–108,726 seeds ha-1) following a RCC and no cover crop, and in-furrow fertilizer (10-34-0) + fungicide (pyraclostrobin) and no in-furrow starter. At 2 of 3 locations, a RCC reduced corn V5 chlorophyll content and grain yield by 3.1% and 2.7%, respectively. The inclusion of an in-furrow starter failed to increase corn yield at any location and no interaction with a RCC was observed. Furthermore, an in-furrow starter reduced corn plant stand by 3.2% at 2 of 3 locations. At Lexington, quadratic regression analysis revealed that a higher corn agronomic optimum seeding rate (AOSR) and economic optimum seeding rate (EOSR) was required to maximize corn following a RCC compared to no cover crop. However, no significant stand loss was observed at this location. Overall, these results suggest that in-furrow fertilizer and fungicide do not ameliorate negative effects from a RCC and may cause negative impacts when applied simultaneously in-furrow. In addition, a higher corn AOSR and EOSR may be required following a RCC to maximize corn yield. However, because the effects of a RCC on AOSR were inconsistent among locations, further research may be required.
      原文链接:
    • NSTL
    • Elsevier

    Assimilating remote sensing-based VPM GPP into the WOFOST model for improving regional winter wheat yield estimation

    Zhuo W.Huang J.Huang H.Gao X....
    16页
    查看更多>>摘要：? 2022 Elsevier B.V.Crop growth models are powerful tools for predicting crop growth and yield. Gross primary production (GPP) is a major photosynthetic flux that is directly linked to crop grain yield. To better understand the potential of GPP for regional crop yield estimation, in this study, a novel crop data-model assimilation (CDMA) framework was proposed that assimilates accumulative GPP estimates from the satellite-based vegetation photosynthesis model (VPM) into the WOrld FOod STudies (WOFOST) model using the ensemble Kalman filter (EnKF) algorithm to estimate winter wheat GPP and grain yield. Results showed that the WOFOST simulated GPP agreed with the GPPEC derived from eddy flux tower (R2 = 0.74 and 0.47 in 2015 and 2016, respectively). Assimilating GPPVPM into the WOFOST model improved site-scale GPP estimation (R2 = 0.87 and 0.67 in 2015 and 2016, respectively), and also improved regional-scale winter wheat yield estimates (R2 = 0.36 and 0.29; RMSE= 479 and 572 kg/ha in 2015 and 2016, respectively) compared with the open loop simulations (R2 = 0.14 and 0.10; RMSE= 801 and 788 kg/ha in 2015 and 2016, respectively). Our study demonstrated that assimilation of remotely sensed GPP optimized the results of carbon simulation in the WOFOST model and highlighted the potential of GPP for regional winter wheat yield estimation using a data assimilation framework.
      原文链接:
    • NSTL
    • Elsevier

    Design workshops for innovative cropping systems and decision-support tools: Learning from 12 case studies

    Jeuffroy M.-H.Loyce C.Lefeuvre T.Valantin-Morison M....
    13页
    查看更多>>摘要：? 2022 Elsevier B.V.Addressing the issues that agriculture is currently facing requires disruptive innovations, which may be stimulated through a process of innovative design, enhancing exploration in specific situations. In the aim to equip this process, several researchers implemented 'design workshops'. Yet, the literature poorly describes the way to organize, implement and capitalize design workshops, in the view to achieve their objectives. We conducted a comprehensive cross-analysis of 12 case studies of design workshops, informed both by data on the preparation, course and outputs of the workshops, and by collective interactions among the workshop managers. Steered by theoretical elements from design science, we identified similarities and divergences across cases, and derived methodological lessons concerning preparation, implementation, and follow-up for future design workshops. Our analysis provides new insights on the key steps for the management of design workshops: key elements to define and share an ambitious but realistic design target were highlighted; the choice of actors participating in the design workshops appeared as a crucial step in the preparation of all the workshops; the initial knowledge basis shared before the exploration had a determinant role on the design process; we identified the need to adapt, to a diversity of agricultural situations, the sequencing, the facilitation of design workshops, and the width of exploration; means to manage, during the design process, the systemic nature of most agricultural innovations were specified; and new criteria, consistent with the diversity of the objectives, were proposed to assess the success of a design workshop. Finally, our research has shown that design workshops promote collective creativity in agriculture, and feed open innovation processes.
      原文链接:
    • NSTL
    • Elsevier

    Variety and management selection to optimize pearl millet yield and profit in Senegal

    Min D.Prasad P.V.V.Ciampitti I.A.Faye A....
    11页
    查看更多>>摘要：? 2022 Elsevier B.V.Pearl millet (Pennisetum glaucum R. Br.) water-limited yield gap in Senegal is estimated at 2.2 Mg ha-1. Proper variety and management selection are critical to the sustainable intensification of millet systems. The objectives of this study were to assess the effect of two pearl millet varieties and different crop management (plant density-nutrient rates) treatments on i) biomass yield, ii) grain yield, and iii) farm profit magnitude and responsiveness. The study was conducted on three sites during the 2017, 2018, and 2019 growing seasons with a total of nine site-years. Two varieties, Souna 3 (traditional) and Thialack 2 (dual-purpose), and 48 management treatments including two plant densities (37–74 × 1000 plants ha-1) and 24 different levels of nutrient combinations ranging from 0 to 149 kg ha-1 nitrogen (N, as urea), 0–67 kg ha-1 phosphorus (P2O5, as double super phosphate), 0–33 kg ha-1 potassium (K2O, as potassium chloride) and 0–14 987 kg ha-1 cow manure (M), were tested in all site-years. Thialack 2 presented greater biomass yield in three and grain yield in four site-years (out of nine site-years) relative to Souna 3. Management treatments with greatest magnitude and responsiveness produced on average 4.6 Mg ha-1 biomass yield with averaged nutrient rates of 102–37–26 NPK, 2 Mg ha-1 grain yield with averaged nutrient rates of 91–32–24 NPK, 682 USD ha-1 profit at low biomass and grain prices with averaged nutrient rates of 72–22–21 NPK, and 1183 USD ha-1 profit at high biomass and grain prices with averaged nutrient rates of 83–29–22 NPK, all at 74 thousand plants ha-1, regardless of variety used. Five to seven management practices were able to concurrently optimized biomass yield, grain yield, and farmer profit. Sustainably intensifying pearl millet systems by using improved variety and management practices have great potential to promote greater yields and farm profitability in Senegal.
      原文链接:
    • NSTL
    • Elsevier

    Identifying low risk and profitable crop management practices for irrigated Teff production in northwestern Ethiopia

    Mihretie F.A.Masutomi Y.Sato S.Tsunekawa A....
    12页
    查看更多>>摘要：? 2022 The AuthorsTeff (Eragrostis tef (Zucc.) Trotter) is one of the most important staple crops in Ethiopia. However, the optimal agronomic practices of the crop under irrigation remain unclear. The objectives of this study were to evaluate the Cropping System Model (CSM)-NWheat-Teff and to determine the optimum planting date, nitrogen (N) application rate, and irrigation threshold in northwestern Ethiopia. The model was calibrated and evaluated using published data from field experiments conducted from 1996 to 1998 in the Adet and Bichena districts and from 2001 to 2003 in the Dangila district. The model was then used to simulate different planting dates (Jan 1, Jan 15, Feb 1, Feb 15, Mar 1), N rates (0, 20, 40, 60, 80 kg ha?1), and irrigations (irrigation when required/automated, 50% and 25% available soil moisture thresholds) levels for Adet, Bichena and Dangila using historical weather data (1983–2020). The model was able to simulate teff phenology and yield adequately as indicated by low root mean square error (RMSE) and a high index of agreement (d) for both the calibration and evaluation datasets. Grain and straw yield increased with increasing N, but the rate of increment was higher under irrigation when required (automated) compared to 50% and 25% thresholds. Late planting (March 1) at Adet and early planting (January 1 and February 15) at Bichena and Dangila resulted in the highest profit with a minimum variability in output. The combined use of 80 kg N ha?1 and irrigation when required gave the most profitable option with low risk of irrigated teff production at the three sites studied. This study showed that the new CSM-NWheat-Teff model can be used to optimize agronomic practices for irrigated teff production systems in Ethiopia. Further research is needed to improve model performance in predicting teff yield for contrasting biophysical and socio-economical environments.
      原文链接:
    • NSTL
    • Elsevier

    Development of a lucerne model in APSIM next generation: 2 canopy expansion and light interception of genotypes with different fall dormancy ratings

    Yang X.Moot D.J.Brown H.E.Teixeira E.I....
    18页
    查看更多>>摘要：? 2022 Elsevier B.V.Lucerne (Medicago sativa L.) canopy expansion, as quantified by leaf area index (LAI), is the crop process that determines the amount of intercepted total radiation during each regrowth cycle. A challenge is to capture seasonal changes of canopy expansion rate in response to the environment. This research integrates parameters and functions of lucerne canopy expansion into the Agricultural Production Systems sIMulator (APSIM) next generation (APSIM NextGen) model (LeafArea module) to simulate canopy expansion and light interception. Over 20 years of detailed field experimental datasets, with multiple treatments, from Lincoln University were used for model development. Functions derived from a fall dormancy (FD) 5 rated genotype were grown under an industry standard defoliation treatment to parametrize the model. These functions were tested further using genotypes with an FD2 or FD10 rating under longer and shorter defoliation regimes, all under irrigated conditions. The APSIM NextGen lucerne model predicted the LAI expansion pattern in each growth cycle as a double sigmoid curve requiring functions that define the lag phase, basal bud initiation, the linear leaf area expansion rate (LAER; m2 m-2 °Cd), and canopy senescence which represents the loss of LAI over time. LAI was well predicted for experiments under the standard (42-day) and long (84 day) defoliation treatments for FD5, with Nash-Sutcliffe efficiency (NSE) of 0.61 and 0.55. However, the derived parameters and functions overestimated LAI under an extreme short defoliation treatment (28-day), NSE values ranged from 0.38 to 0.78. LAER was lower for the short-defoliation intervals (28-day), probably due to a depletion of carbon and nitrogen reverses in perennial organs. For FD2 and FD10, different LAER functions were generated from field observed data and used to improve simulation agreement. There was fair agreement for the 84-day treatment (NSE of 0.32) and the 42-day treatment (NSE of 0.38), but poor agreement for the 28-day treatment for FD10 (NSE = ?0.88). The estimated extinction coefficient (k) was the same for seedling and regrowth crops, and consistent across defoliation treatments and FD classes. With the LeafArea module and k value, the APSIM NextGen lucerne model can now estimate daily LAI and intercepted radiation. Future model development includes validating the LeafArea module in different environments. However, a more mechanistic model approach is required to link canopy expansion to carbon and nitrogen reserves in lucerne plants that experience intense defoliation.
      原文链接:
    • NSTL
    • Elsevier

    China's nitrogen management of wheat production needs more than high nitrogen use efficiency

    Bai N.Mi X.Tao Z.Kang J....
    8页
    查看更多>>摘要：? 2022Nitrogen (N) fertilizer is essential for increasing yields in intensive agricultural systems, but it also creates an environmental burden. Improving recovery efficiency of N (REN) is the key to balancing the trade-off between crop production and environmental protection. However, the current status of the REN in China and whether a high REN is sufficient for sustainable wheat production remain unclear. Here we estimated the REN of wheat production in China using N-difference method and 15N-labelled method, explored strategies to improve REN, and clarified that China's nitrogen management of wheat production needs more than high nitrogen use efficiency. The findings of a 12-year field trial showed that the REN estimated by N-difference method was double that estimated by 15N-labelled method, and meta-analysis results showed that the national mean REN estimated by the two methods were similar, ranging from 30% to 33%. Notably, the REN was consistently lower than the global mean according to both methods; thus, exploring strategies to improve REN is vital. Results showed that reducing N fertilizer application rate and N surplus are essential for improving REN; however, indiscriminately reducing N application rate creates a great risk of reducing yields since insufficient and excessive use of N fertilizer is prevalent in wheat production of many counties. The establishment of the inherent interconnections among REN, crop yield, and N surplus showed that REN or N surplus should be used together with yield as an indicator of the sustainability of crop systems. The implementation of comprehensive N management techniques increased REN (38–104%) and yield (8–9%) while reducing N surplus (52–89%), which provides a good starting point for further discussions of N fertilizer management for sustainable wheat production.
      原文链接:
    • NSTL
    • Elsevier

    Improving water status prediction of winter wheat using multi-source data with machine learning

    Zhu Y.Cao W.Cao Q.Schmidhalter U....
    12页
    查看更多>>摘要：? 2022 Elsevier B.V.Water and nitrogen (N) are the most important factors limiting crop productivity. Effective monitoring of the water status of winter wheat under different N treatments is imperative for precision irrigation in improved crop management. Hyperspectral remote sensing is widely used for monitoring the crop water status. However, changes in canopy architecture during ontogeny lead to poor inversion of crop properties and limit the use of spectral indices. This study aimed to improve the water status prediction of winter wheat using multi-source data with machine learning (ML). Two multi-irrigation levels (0, 120, 240, 360 mm) and N rates (75, 225 kg N ha-1) experiments were conducted during the 2019–2021 wheat growing seasons under field conditions using a rainout shelter. Hyperspectral, soil, plant, and climate data were evaluated with two feature selection methods. Selected results were chosen as input variables for prediction models by using three ML algorithms. By constructing the normalized difference spectral index (NDSI), ratio spectral index (RSI), and difference spectral index (DSI), the DSI(2015, 2375), NDSI(2175, 2245), and RSI(720, 1200) showed the strongest correlation with canopy water content (CWC), plant water content (PWC), and canopy equivalent water thickness (CEWT), respectively. The best feature selection method and data were delivered by the Pearson correlation coefficient together with the soil, plant, and climate data. The best performing ML algorithm for CWC and PWC prediction was RF, while SVM was the best ML algorithm for CEWT prediction. The R2 of the optimal models ranged from 0.86 to 0.97. These models with multi-source data significantly improved the prediction accuracy of the water status and can thus assist in precision irrigation management of winter wheat.
      原文链接:
    • NSTL
    • Elsevier

    Mixing process-based and data-driven approaches in yield prediction

    Maestrini B.van Oort P.A.J.Jindo K.van Evert F.K....
    12页
    查看更多>>摘要：? 2022 The AuthorsYield prediction models can be divided between data-driven and process-based models (crop growth models). The first category contains many different types of models with parameters learned from the data themselves and where domain knowledge is only used to select the predictors and engineer features. In the second category, models are based upon biophysical principles, whose structure and parameters are derived primarily from domain knowledge. Here we investigate if the integration of the two approaches can be beneficial as it allows to overcome the limitations of the two approaches taken individually - lack of sufficiently large, reliable and orthogonal datasets for data-driven approaches and the need of many inputs for process-based models. The applications of the two categories of models have been reviewed, paying special attention to the cases where the two approaches have been mixed. By analysing the literature we identified three major cases of integration between the two approaches: (1) using crop growth models to engineer features and expand the predictors space, (2) use data-driven approaches to estimate missing inputs for process-based models (3) using data-driven approaches to produce meta-models to reduce computation burden. Finally we propose a methodology based on metamodels and transfer learning to integrate data-driven and process-based approaches.
      原文链接:
    • NSTL
    • Elsevier