Effect of ten years of reduced tillage and recycling of organic matter on crop yields, soil organic carbon and its fractions in Alfisols of semi arid tropics of southern India

Prasad, J. V. N. S.; Rao, Ch. Srinivasa; Srinivas, K.; Jyothi, Ch. Naga; Venkateswarlu, B.; Ramachandrappa, B. K.; Dhanapal, G. N.; Ravichandra, K.; Mishra, P. K.

doi:10.1016/j.still.2015.10.013

Cited by 108 publications

(57 citation statements)

References 31 publications

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“…The mean annual temperature is 29.2 • C, with an average precipitation of 923 mm, of which most occurs during the monsoon season from June to October [19]. The experimental design of the study.…”

Section: Study Sitementioning

confidence: 99%

Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images

et al. 2018

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3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in several species. Spatial information about these phenotypic traits can be used to derive information about other important crop characteristics, like fresh biomass yield, which could not be derived directly from the point clouds. Previous approaches have often only considered single date measurements using a single point cloud derived metric for the respective trait. Furthermore, most of the studies focused on plant species with a homogenous canopy surface. The aim of this study was to assess the applicability of UAV imagery for capturing crop height information of three vegetables (crops eggplant, tomato, and cabbage) with a complex vegetation canopy surface during a complete crop growth cycle to infer biomass. Additionally, the effect of crop development stage on the relationship between estimated crop height and field measured crop height was examined. Our study was conducted in an experimental layout at the University of Agricultural Science in Bengaluru, India. For all the crops, the crop height and the biomass was measured at five dates during one crop growth cycle between February and May 2017 (average crop height was 42.5, 35.5, and 16.0 cm for eggplant, tomato, and cabbage). Using a structure from motion approach, a 3D point cloud was created for each crop and sampling date. In total, 14 crop height metrics were extracted from the point clouds. Machine learning methods were used to create prediction models for vegetable crop height. The study demonstrates that the monitoring of crop height using an UAV during an entire growing period results in detailed and precise estimates of crop height and biomass for all three crops (R 2 ranging from 0.87 to 0.97, bias ranging from −0.66 to 0.45 cm). The effect of crop development stage on the predicted crop height was found to be substantial (e.g., median deviation increased from 1% to 20% for eggplant) influencing the strength and consistency of the relationship between point cloud metrics and crop height estimates and, thus, should be further investigated. Altogether the results of the study demonstrate that point cloud generated from UAV-based RGB imagery can be used to effectively measure vegetable crop biomass in larger areas (relative error = 17.6%, 19.7%, and 15.2% for eggplant, tomato, and cabbage, respectively) with a similar accuracy as biomass prediction models based on measured crop height (relative error = 21.6, 18.8, and 15.2 for eggplant, tomato, and cabbage).

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Section: Study Sitementioning

confidence: 99%

Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images

et al. 2018

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“…2016) [19]. It was possible that, in the present study, the time of adoption of the systems has not been enough for the NT show its full potential to improve SOM contents.…”

Section: Resultsmentioning

confidence: 76%

“…Pearson correlation coefficients between total organic carbon and carbon associated to the humic substances contents in a Rhodic Ferralsol cultivated with vegetables, in conservation systems. There are doubts, however, about the long-term sustainability of RT to maintain higher TOC contents than the NT, as indicated by results of other studies such as those of Prasad et al (2016) [19]. It is possible that in NT the absence of cover crops incorporation leads to a more gradual increase of SOM and HS contents than in RT, resulting in lower contents in short and medium term experiments.…”

Section: Resultsmentioning

confidence: 95%

Effects of Five Years Adoption of No-Tillage Systems for Vegetables Crops in Soil Organic Matter Contents

Lima¹,

Guedes²,

Silva³

et al. 2018

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Vegetables productions systems are done normally with intense soil tillage causing a strong decline of soil quality. Use of conservation systems can be an alternative to recover this quality. In order to evaluate the effects of such systems on soil organic matter, an experiment has been conducted in randomized blocks design and factorial scheme 3 × 2: three soil management systems (no-tillage; reduced tillage and conventional tillage) and two cover crops (maize single; and intercropping maize with gray velvet bean-Stizolobium niveum); and repeated measures over time. Soil samples were collected before the implementation of the experiment and at the end of each crop cycle until the fifth crop cycle. Carbon associated with humic substances is also determined in 0 -5 cm, 5 -10 cm and 10 -30 cm at the end of the last crop cycle. The SOM content was higher in RT (48.34 g·kg ) was statistically equal to RT and CT, during the same period. In 0 -5 cm, carbon contents associated to the humic substances present the same behavior of SOM contents in 0 -10 cm. Probably these results are associated with the capacity of each system to improve superficial contents of SOM stable fractions. It follows that the conservation systems used are alternatives to the cultivation vegetables in order to improve soil organic matter contents.

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“…Therefore it is important to apply properly selected cultivation method, which results in favourable conditions for the soil microbes (Prasad et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Microbial Community Profiles in Response to Different Soil Managements in Sandy Soil

Demeter¹,

Makádi²,

Tomócsik³

et al. 2016

AgricultForest

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SUMMARYThe growing human population has higher and higher food demand, which requires an increase in efficiency of agricultural production. Healthy and fertile soils are essential to satisfy this demand. The microbial community structure is an excellent indicator of the soil fertility and the diversity of bacteria and fungi. In our work we compared the effect of organic and conventional cultivation methods on the microbial community profiles of sandy soils in the Nyírség region, Hungary. These fields have topographical heterogeneity therefore the sampling sites were divided into top of hill and bottom of hill. Sampling was done in autumn 2013, from the 0-30 cm and the 30-60 cm soil depths. The phospholipid fatty acids (PLFA) were used for the monitoring of microbial community. PLFAs break down when the cell dies therefore these molecules show the community structure in a real time. In the 0-30 cm soil layer of organically managed field the PLFA structure was significantly different between top and bottom of hill, but the difference were low. In conventionally managed field, high differences were found between the PLFA groups measured in the top and bottom of hill. The PLFA values were higher in the top of hill in organic field, while in case of bottom of hills sites higher PLFA values were measured in conventional farming system. In the deeper soil layers the tendencies were found similar to the upper soil layer, but the measured values were lower.

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Effect of ten years of reduced tillage and recycling of organic matter on crop yields, soil organic carbon and its fractions in Alfisols of semi arid tropics of southern India

Cited by 108 publications

References 31 publications

Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images

Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images

Effects of Five Years Adoption of No-Tillage Systems for Vegetables Crops in Soil Organic Matter Contents

Microbial Community Profiles in Response to Different Soil Managements in Sandy Soil

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