Catch crop mixtures have higher potential for nutrient carry-over than pure stands under changing environments

Heuermann, Diana; Gentsch, Norman; Guggenberger, Georg; Reinhold‐Hurek, Barbara; Schweneker, Dörte; Feuerstein, Ulf; Heuermann, Marc C.; Groß, Jonas; Kümmerer, Robin; Bauer, Bernhard; Wirén, Nicolaus von

doi:10.1016/j.eja.2022.126504

Cited by 10 publications

(10 citation statements)

References 56 publications

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“…The observed shoot biomass of cover crops was between 0.34 and 4.3 Mg ha −1 , which matches the findings of other studies under similar framework conditions [59][60][61]. The value of R 2 = 0.76 from regression analysis shows that CH is well-suited as a predictor for the DMY of cover crops (Figure 8).…”

Section: Predicting Biomass Yield By Canopy Heightsupporting

confidence: 88%

Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass

2023

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Remote-sensing data has become essential for site-specific farming methods. It is also a powerful tool for monitoring the agroecosystem services offered by integrating cover crops (CC) into crop rotations. This study presents a method to determine the canopy height (CH), defined as the average height of the crop stand surface, including tops and gaps, of heterogeneous and multi-species CC using commercial unmanned aerial vehicles (UAVs). Images captured with red–green–blue cameras mounted on UAVs in two missions varying in ground sample distances were used as input for generating three-dimensional point clouds using the structure-from-motion approach. These point clouds were then compared to manual ground measurements. The results showed that the agreement between the methods was closest when CC presented dense and smooth canopies. However, stands with rough canopies or gaps showed substantial differences between the UAV method and ground measurements. We conclude that the UAV method is substantially more precise and accurate in determining CH than measurements taken with a ruler since the UAV introduces additional dimensions with greatly increased resolution. CH can be a reliable indicator of biomass yield, but no differences between the investigated methods were found, probably due to allometric variations of different CC species. We propose the presented UAV method as a promising tool to include site-specific information on CC in crop production strategies.

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Section: Predicting Biomass Yield By Canopy Heightsupporting

confidence: 88%

Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass

2023

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“…The TN content in PLOS ONE the P1 treatment was higher in the 0-30 cm soil layer, and there was no gradient difference in the other treatments. This is because crop roots are mainly distributed in 0-30cm soil layer, and root residues and their exudates increase nutrient content [24,25]. The AP content of all treatments had no significant difference in the soil layer, and the AP content of the 30-60 cm soil layer P3 treatment was significantly higher than that of other treatments.…”

Section: Soil Physical and Chemical Propertiesmentioning

confidence: 95%

Distribution of soil microorganisms in different complex soil layers in Mu Us sandy land

Guo

Zhang

et al. 2023

PLoS ONE

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The soft rock in Mu Us Sandy Land has rich resources and high content of clay minerals. The combination of soft rock with sand can play a certain role in sand fixation and promote the green development of ecological environment. In this paper, the aeolian sandy soil in Mu Us Sandy was taken as the research object, and it was mixed with soft rock to form composite soil. The four volume ratios of soft rock to sand were respectively 0:1, 1:5, 1:2 and 1:1. And CK, P1, P2 and P3 were used to represent the above four volume ratios in turn. By means of quantitative fluorescent PCR and high throughput sequencing, 16S rRNA gene abundance and community structure were investigated. The results showed that the soil organic carbon (SOC) and total nitrogen (TN) contents in 0-30cm soil layer were higher. Compared with CK, the SOC of P2 was improved by 112.77% and that of P1 was 88.67%. The content of available phosphorus (AP) and available potassium (AK) was higher in 30-60cm soil layer, and P3 was more effective. The abundance of 16S rRNA gene in the mixed soil bacteria ranged from 0.03×109 to 0.21×109 copies g-1 dry soil, which was consistent with the changes of nutrients. Under different soil layers, the three dominant bacteria in the mixed soil were the same, namely Phylum Actinobacteriota, Phylum Proteobacteria and Phylum Chloroflexi, and there were more unique genera in each soil layer. Both bacteria ɑ and β diversity showed that the community structure of P1 and P3 in 0-30cm soil layers was similar, and that of P1 and P2 in 30-60cm soil layers was similar. AK, SOC, AN (ammonium nitrogen), TN and NN (nitrate nitrogen) were the main factors contributing to the differentiation of microbial community structure under different compound ratios and soil layers, and Phylum Actinobacteria has the largest correlation with nutrients. The results showed that the soft rock could improve the quality of sandy soil, and that the growth of microbial growth was dependent on the soil physicochemical characteristics. The results of this study will be helpful to the study of the microscopical theory for the control of the wind-blown sand and the ecology of the desert.

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“…In addition, researchers from Europe and Asia used simple sequence repeats (SSR) markers to examine the genetic diversity of several buckwheat species, such as Fagopyrum esculentum and Fagopyrum tataricum. For the examination of plant genetic diversity, the creation of genetic maps, gene mapping, and cloning are essential due to their locus specificity and co-dominant inheritance, facilitating precise identification and manipulation of target genes [108,109]. Diverse crop varieties enhance farmers' productivity and sustainability by adapting to changing environmental conditions, as seen in higher yielding common buckwheat varieties with determinate growth habits [110].…”

Section: Implication Of P Millet S Bicolor and Common Buckwheat Varie...mentioning

confidence: 99%

“…Furthermore, considering the presence of endosperm tissue, kernel hardness and other physical characteristics could help identify cereal grain varieties. The plant's morphological traits are determined by its genetic composition and environmental variables [95,109].…”

Section: Distinction Between the Varieties Through Morphological Prop...mentioning

confidence: 99%

“…These variables may influence the elemental composition of crops, and their impacts can differ based on the particular crop and environment. Gaining comprehension of these aspects and their interplay may aid in evaluating the quality and verification of these agricultural products [95,109].…”

Section: Distinction Between the Varieties Through Morphological Prop...mentioning

confidence: 99%

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Exploring the Impacts of Climate Change on the Nutritional Properties and Food Security of Various Cereal Grains

Khalfalla,

Győri

2024

Exploring the World of Cereal Crops [Working Title]

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Climate change substantially influences agriculture, affecting food security and agricultural production. To address the current concerns, it is essential to address climate-smart agricultural methods, such as crop rotation, integrated pest control and enhanced nitrogen fertilisation techniques, to assist farmers in adjusting to a shifting climate. Furthermore, an ongoing review is being conducted to investigate the potential effects of climate change mitigation and the contribution of agriculture to reducing greenhouse gas emissions abroad. This investigation encompasses various aspects such as agricultural practice and crop varieties, particularly crop relocation, soil nutrient management and innovative nitrogen fertiliser techniques. Restricting the discourse to the crop and N fertiliser selection options and the implementation of various strategies, such as identifying the most resilient crop for climatic fluctuations, implementing a crop relocation system as conventional and modern agricultural practices, minimising the reliance on pesticides and enhancing the nutritional qualities of better cultivars, in addition to the grain drying process and storage, may influence the nutritional composition of cereal grains. All the above adaptation mechanisms depend on the local context, area or country. Ecologically, low-impact solutions that modernise agriculture include biodiversity-based and climate-smart farming. These initiatives aim to effectively enhance agricultural incomes and production while addressing the interrelated challenges of climate change and food security.

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Catch crop mixtures have higher potential for nutrient carry-over than pure stands under changing environments

Cited by 10 publications

References 56 publications

Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass

Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass

Distribution of soil microorganisms in different complex soil layers in Mu Us sandy land

Exploring the Impacts of Climate Change on the Nutritional Properties and Food Security of Various Cereal Grains

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