scholarly journals Biomass Yield of Selected Herbaceous and Woody Industrial Crops across Marginal Agricultural Sites with Shallow Soil

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1296
Author(s):  
Jana Reinhardt ◽  
Pia Hilgert ◽  
Moritz von Cossel
Keyword(s):  
Information Exchange ◽  
Agricultural Land ◽  
Rooting Depth ◽  
Good Growth ◽  
Yield Level ◽  
Industrial Crop ◽  
Canary Grass ◽  
Growing Conditions ◽  
Qualitative Performance ◽  
Marginal Agricultural Land

Agricultural land in Europe is affected by low rooting depth (LRD) on 27.9 Mha. This marginal agricultural land can potentially be used to grow industrial crops without directly threatening food security or biodiversity conservation. However, little is known about the yield performance of industrial crops at LRD conditions. This study therefore compiles and discusses the meaningful data available in scientific literature. Twelve relevant industrial crops were identified for Europe. Currently, robust information on good growth suitability for LRD conditions is available for only one industrial crop, namely reed canary grass (RCG). Because this information was taken from field trial results from a single site, it remains unclear what role other growing conditions such as soil quality and climate play on both the yield level and the biomass quality of RCG under LRD conditions. These uncertainties about the quantitative as well as qualitative performance of industrial crop cultivation on marginal agricultural land characterized by LRD represent a major agronomic knowledge gap. Here, more knowledge needs to be compiled through both expanded crop science activities and improved international information exchange to make more optimal use of the large LRD areas available for the transition to a bioeconomy.

scholarly journals A Review of Industrial Crop Yield Performances on Unfavorable Soil Types

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2382
Author(s):  
Jana Reinhardt ◽  
Pia Hilgert ◽  
Moritz Von Cossel
Keyword(s):  
Agricultural Land ◽  
Field Trials ◽  
Yield Potential ◽  
Soil Types ◽  
Potential Yield ◽  
Indirect Land Use Change ◽  
Industrial Crop ◽  
Large Yield ◽  
Marginal Agricultural Land ◽  
The Impact

Industrial crop cultivation on marginal agricultural land limits indirect land-use change effects that pose a threat to food security. This review compiles results from 91 published crop-specific field trial datasets spanning 12 relevant industrial crops and discusses their suitability for cultivation on unfavorable soil types (USTs). It was shown that the perennial species Miscanthus (Miscanthus Andersson) and reed canary grass (Phalaris arundinacea L.) performed well on USTs with both high clay and/or high sand contents. Information on stoniness (particles sizes > 2 mm), where mentioned, was limited. It was found to have only a small impact on biological yield potential, though it was not possible to assess the impact on mechanization as would be used at a commercial scale. For soils with extreme clay or sand contents, half of the crops showed moderate suitability. The large yield variations within and between crops revealed large knowledge gaps in the combined effects of crop type and agronomy on USTs. Therefore, more field trials are needed on diverse USTs in different climates with better equipment and more consistent measurements to improve the accuracy of potential yield predictions spatially and temporally. Additionally, larger trials are needed to optimize cultivation and harvesting.

scholarly journals Pengaruh Hidrotopografi dan Peruntukan Lahan Terhadap Saluran Tersier Daerah Rawa Pinang Dalam

2020 ◽  
Vol 20 (01) ◽  
pp. 1-10
Author(s):  
Henny Herawati ◽  
Eko Yulianto ◽  
Azmeri
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Water System ◽  
Secondary Data ◽  
Primary Data ◽  
Rooting Depth ◽  
West Kalimantan ◽  
Tidal Data ◽  
Optimum Depth ◽  
Level Elevation

[ID] Daerah Rawa Pinang Dalam merupakan bagian dari daerah rawa di kawasan Pinang Komplek yang berada di Kabupaten Kubu Raya Provinsi Kalimantan Barat. Tinggi muka air tanah Daerah Rawa Pinang Dalam dipengaruhi oleh pasang surut air laut. Daerah Pinang Dalam diusahakan oleh penduduk sebagai lahan pertanian. Namun hasil produksi pada daerah ini belum optimal yang disebabkan oleh belum baiknya jaringan tata air, dimana sebagian besar daerah tersebut merupakan daerah genangan, sering mengalami banjir pada musim penghujan serta mengalami kekeringan pada musim kemarau. Penelitian ini bertujuan untuk mengetahui jenis dan pengaruh hidrotopografi lahan terhadap saluran tersier, sehingga dapat diperoleh dimensi saluran tersier sesuai dengan peruntukan lahan di daerah rawa Pinang Dalam. Data primer pada penelitian ini yaitu data hidrometri dan data pasang surut, sementara data sekunder yang digunakan yaitu data hidrologi dan data topografi serta peta-peta yang diperlukan dalam analisis hidrotopografi. Data tersebut merupakan dasar dalam melakukan kajian dan analisis hidrometri dan topografi yang diperlukan untuk mengetahui hidrotopografi lahan dengan memperhatikan peruntukan lahan. Hasil penelitian menunjukkan bahwa jenis hidrotopografi lahan di daerah rawa Pinang Dalam terdiri dari jenis hidrotopografi B, C dan D. Berdasarkan jenis hidotopografi dan peruntukan lahan, terdapat kriteria tertentu mengenai kedalaman optimum untuk saluran tersier dalam sebuah jaringan tata air. Saluran tersier yang diperuntukkan sebagai lahan perkebunan sebaiknya diupayakan untuk memiliki kedalaman yang dapat mempertahankan muka air tanah dalam kisaran 60 hingga 90 centimeter, sementara elevasi muka air untuk tanaman padi sawah dipertahankan setinggi mungkin dengan kedalaman perakaran minus (-)10 sampai dengan -30 centimeter. [EN] The Pinang Dalam swamp area is a part of Pinang Komplek swamp area which is located in Kubu Raya Regency, West Kalimantan Province. Groundwater table in Pinang Dalam swamp area is affected by tides. Pinang Dalam area is cultivated by the population as agricultural land. But the production results in this area are not optimal due to the lack of a good water system, where most of the area is inundated, often experiences floods during the rainy season and experiences drought in the dry season. This research aims to identify the type and effects of land hydrotopography on the tertiary channel, thus the dimension of tertiary channel that is suitable for the allocated land use is obtained. The primary data in this study are hydrometric and tidal data, while secondary data used are hydrological and topographic data and maps needed in hydrotopographic analysis. These data are the basis for conducting studies and analysis of hydrometry and topography needed to the hydrotopography of land while taking the land use into account. The results showed that the hydrotopographic type of land in the Pinang Dalam swamp area consisted of hydrotopographic types B, C and D. Based on the hydotopography type and land use, there are certain criteria regarding the optimum depth for tertiary channels in a water system. Tertiary canals on land allocated as plantation area should be striven to have a depth that can maintain water table in the range of 60 to 90 centimeters, while the water level elevation for lowland rice plants should be maintained as high as possible with a rooting depth of minus (-) 10 to -30 centimeters.

scholarly journals Mapping of Sub-Optimal Land Based on NDVI Sentinel 2a Value: Preliminary Study

2020 ◽  
Vol 17 (3) ◽  
pp. 194-204
Author(s):  
Indarto Indarto ◽  
Rufiani Nadzirah ◽  
Hadrian Reksa Belagama
Keyword(s):  
Vegetation Index ◽  
Agricultural Land ◽  
Vegetation Indices ◽  
Vegetation Density ◽  
Residential Areas ◽  
Primary Input ◽  
Normalised Difference Vegetation Index ◽  
Sentinel 2A ◽  
Marginal Agricultural Land ◽  
Potential Use

Normalised Difference Vegetation Index (NDVI) is one of the vegetation indices used to analyse vegetation density. This study presents the potential use of NDVI to map dry-marginal-agricultural land (Dry-MAL). The study conducted in the eastern part of Situbondo, which includes three districts, namely, Arjasa, Asembagus and Jangkar. Sentinel-2A (recorded in 2018) and 450 Control points (GCPs) are used as the primary input. The region is an area with distinctive climate characteristics, where the dry season is longer than the rainy season. Analysis using "SNAP plug-ins" and "QGIS". Research procedures include (1) data inventory, (2) data pre-processing, (3) data processing and (4) accuracy testing. The NDVI classification can distinguish six (6) classes of land-use, i.e., water bodies, residential areas, dry MAL, non-irrigated rural area, irrigated paddy fields, forest-plantations. The NDVI classification produces Overall and Kappa accuracy values =  66,9% and 61,6%. Although the overall and kappa accuracy is below the standard, however, the result will benefit for further research of index vegetation or soil more applied for the identification of Dry-MAL

scholarly journals Evaluation De La Performance Des Pratiques De Gestion De La Fertilite Des Sols Dans Le Bassin De La Riviere Okpara Au Benin

2016 ◽  
Vol 12 (33) ◽  
pp. 370
Author(s):  
M.A. Akpo ◽  
A. Saidou ◽  
I. Balogoun ◽  
I. Yabi ◽  
L.B. Bio Bigou
Keyword(s):  
Soil Fertility ◽  
Management Practices ◽  
Agricultural Land ◽  
Crop Yields ◽  
Maize Yield ◽  
Organic Fertilizers ◽  
Cultural Groups ◽  
Soil Fertility Management ◽  
Fertility Management ◽  
Yield Level

A good management of agricultural land based on scientific knowledge and farmer indigenuous knowledge is necessary to ensure sustainable agricultural production. Our research aims to evaluate the performance of farmers' strategies and improved soil fertility management practices in improving level of crop yields in the basin of the Okpara River in Benin. Surveys using semi-structured questionnaire were conducted from October 11 to November 30, 2015 on a sample of 1048 farmers belonging to socio-cultural groups Tchabè, Mahi, Ditamari, Lokpa, Bariba and Fulani. Informations collected concerned farmers' soil fertility management practices and soil fertility improvement strategies introduced by the extension services. Crop rotation, long term natural fallow, fallow with perennial crops especially cashew trees, cassava "fallow" and cereal and leguminuous intercropping (respectively 91.11; 41.66; 48.53; 54.61 and 86.25% of respondents) are endogenous soil fertility management practices. However, mineral and organic fertilizers (respectively 25.45 and 20.38% of respondents) are improved soil fertility management practices introduced. Generally 42% of respondent mentioned that indigenuous soil fertility management practices could improve only by 25% crop (especially maize) yield level against 98.5% of respondents who mentioned that improved soil fertility management practices could improve by 50% of the crop yield level. Considering the efficiency of these soil fertility management practices our study suggests some issues to be taken into account for better land management in the study area.

scholarly journals Soil suitability evaluation for crop selection using fuzzy sets methodology

2016 ◽  
Vol 107 (1) ◽  
pp. 159 ◽  
Author(s):  
Amin SHARIFIFAR ◽  
Hadi GHORBANI ◽  
Fereydoon SARMADIAN
Keyword(s):  
Fuzzy Sets ◽  
Agricultural Land ◽  
Wheat Yield ◽  
Clay Content ◽  
Land Evaluation ◽  
Rooting Depth ◽  
Square Root ◽  
Suitability Evaluation ◽  
North East ◽  
Limitation Method

In this study appraisal of four different agricultural land evaluation methods including the so-called Storie method, square root method, maximum limitation method and fuzzy sets method, was done. The study was performed in Bastam region, located in Semnan province at the north east of Iran.<strong> </strong>Three crops including tomato, wheat and potato were assessed for the purpose of this research. Soil characteristics assessed were rooting depth, CaCo<sub>3, </sub>organic carboncontent, clay content, pH and slope gradient. Statistical analyses were done at significance levels of <em>α </em>= 0.1 and <em>α</em> = 0.05. Results of regression between land indices, calculated through the four methods, with observed yields of the crops, showed that the regression were significant in fuzzy sets method for all of the assessed crops at <em>p </em>= 0.05 but not significant in maximum limitation method for any of the crops. The Storie and square root methods also showed a significant correlation with wheat yield at <em>p </em>= 0.1. This study was a demonstrative test of fuzzy sets theory in land suitability evaluation for agricultural uses, which revealed that this methodology is the most correct method in given circumstances.

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