Studies on the effect of orchard floor management practices on quality parameters and leaf nutrient status in apricot (Prunus armeniacaL.) cv. New Castle

Nutrient status of young pecan [Carya illinoensis (Wangenh.) C. Koch] trees grown under eight combinations of orchard floor management and irrigation was determined by leaf and soil analyses. Orchard floor management practices were weedy-unmowed, weedy-mowed, weed control with herbicides, and weed control by disking, with trees either irrigated or nonirrigated. The element most affected by treatment was K. Mean leaf K for the two sample years was significantly (P < 0.01) lower in the weedy plots (0.56% K) than in those where weeds were controlled (0.76% K), suggesting a highly competitive effect of weeds for K with young pecan trees. Weed competition also suppressed leaf Ca and Mg, but presence of weeds or sod resulted in higher soil pH and higher leaf Zn. Leaf concentrations of N, P, B, Cu, and Fe were not significantly affected by the treatments.

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599 PB 205 THE INFLUENCE OF COASTAL BERMUDAGRASS AND CHEMICAL MOWING ON THE GROWTH, DEVELOPMENT, AND WATER UTILIZATION OF YOUNG PECAN TREES AS MEASURED IN NON-WEIGHING LYSIMETERS

HortScience ◽

10.21273/hortsci.29.5.518a ◽

1994 ◽

Vol 29 (5) ◽

pp. 518a-518

Author(s):

Josiah W. Worthington

Keyword(s):

Water Use ◽

Management Practices ◽

Nutrient Status ◽

Bare Soil ◽

Commercial Fertilizer ◽

Orchard Floor Management ◽

Growing Seasons ◽

Coastal Bermudagrass ◽

Fallow Soil ◽

Bare Root

Budded, bare root, `Wichita' pecan trees were planted and grown in inexpensive, 2m X.75m, non-weighing lysimeters for three growing seasons. Metered water was applied automatically through microirrigation systems as called for by switching tensiometers. Soil moisture tension was not allowed to exceed 25 Kpa. All tree/sod combinations received 336 kg N per hectare from 1-1-1 ratio commercial fertilizer. Water use, tree growth, and nutrient status of trees grown under the following orchard floor management practices were measured: 1)Unmowed coastal bermudagrass. 2)Mechanically mowed bermudagrass, 3)Chemically mowed bermudagrass, and 4)Bare soil. Water use by trees with chemical or mechanically mowed sod were intermediate in water use between unmowed and fallow soil treatments. In spite of the fact that water was never limiting for any treatment, fallow trees grew significantly larger than trees in any of the sodded treatments. A significantly lower level of foliar potassium was noted in trees growing in sod systems.

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INFLUENCE OF GREENHOUSE SHADING AND DIFFERENT NUTRIENT MANAGEMENT PRACTICES ON ALLEVIATING HEAT STRESS, IMPROVING PLANT NUTRIENTS STATUS, FLOWERING GROWTH AND YIELD OF TOMATO

IRAQI JOURNAL OF AGRICULTURAL SCIENCES ◽

10.36103/ijas.v51i4.1079 ◽

2020 ◽

Vol 51 (4) ◽

pp. 1001-1014

Author(s):

Sulaiman & Sadiq

Keyword(s):

Heat Stress ◽

Management Practices ◽

Nutrient Management ◽

Block Design ◽

Nutrient Status ◽

Growth And Yield ◽

Reproductive Growth ◽

Positive Effects ◽

Nutrition Programs ◽

The Impact

The experiment was conducted in a greenhouse during 2017 and 2018 growing seasons to evaluate the impact of the shading and various nutrition programs on mitigating heat stress, reducing the use of chemical minerals, improving the reproductive growth and yield of tomato plant. Split-plot within Randomized Complete Block Design (RCBD) with three replications was conducted in this study. Shading factor was allocated in the main plots and the nutrition programs distributed randomly in the subplots. Results indicate that shading resulted in the decrease of daytime temperature by 5.7˚C as an average for both seasons; thus a significant increasing was found in leaf contents of macro nutrients (Nitrogen, Phosphorous, and Potassium), and micro nutrients (Iron, Zinc and Boron), except the Iron content in 2018 growing season. Furthermore, shading improved significantly the reproductive growth and tomato yield. Among the plant nutrition programs, the integrated nutrient management (INM) including the application of organic substances, bio inoculum of AMF and 50% of the recommended dose of chemical fertilizers; lead to the enhancement of nutrients content, reproductive characteristics and plant yield. Generally, combination of both shading and INM showed positive effects on plants nutrient status and persisting balance on tomato flowering growth and fruits yield.

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Comparison of Forecasting Models for Real-Time Monitoring of Water Quality Parameters Based on Hybrid Deep Learning Neural Networks

Water ◽

10.3390/w13111547 ◽

2021 ◽

Vol 13 (11) ◽

pp. 1547

Author(s):

Jian Sha ◽

Xue Li ◽

Man Zhang ◽

Zhong-Liang Wang

Keyword(s):

Neural Network ◽

Water Quality ◽

Deep Learning ◽

Real Time ◽

Best Management Practices ◽

Input Data ◽

Management Practices ◽

Quality Parameters ◽

Water Quality Parameters ◽

Real Time Monitoring

Accurate real-time water quality prediction is of great significance for local environmental managers to deal with upcoming events and emergencies to develop best management practices. In this study, the performances in real-time water quality forecasting based on different deep learning (DL) models with different input data pre-processing methods were compared. There were three popular DL models concerned, including the convolutional neural network (CNN), long short-term memory neural network (LSTM), and hybrid CNN–LSTM. Two types of input data were applied, including the original one-dimensional time series and the two-dimensional grey image based on the complete ensemble empirical mode decomposition algorithm with adaptive noise (CEEMDAN) decomposition. Each type of input data was used in each DL model to forecast the real-time monitoring water quality parameters of dissolved oxygen (DO) and total nitrogen (TN). The results showed that (1) the performances of CNN–LSTM were superior to the standalone model CNN and LSTM; (2) the models used CEEMDAN-based input data performed much better than the models used the original input data, while the improvements for non-periodic parameter TN were much greater than that for periodic parameter DO; and (3) the model accuracies gradually decreased with the increase of prediction steps, while the original input data decayed faster than the CEEMDAN-based input data and the non-periodic parameter TN decayed faster than the periodic parameter DO. Overall, the input data preprocessed by the CEEMDAN method could effectively improve the forecasting performances of deep learning models, and this improvement was especially significant for non-periodic parameters of TN.

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Integrated Nutrient and Weed Management Practices on Quality Parameters in Aromatic Rice

International Journal of Current Microbiology and Applied Sciences ◽

10.20546/ijcmas.2019.811.194 ◽

2019 ◽

Vol 8 (11) ◽

pp. 1672-1676

Author(s):

Pooja Kumari ◽

D.K. Roy

Keyword(s):

Weed Management ◽

Management Practices ◽

Quality Parameters ◽

Aromatic Rice

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Water Management for Improving Pearl Millet Production under Irrigated Environment: A Review

Agricultural Reviews ◽

10.18805/ag.r-1990 ◽

2021 ◽

Author(s):

Parveen Kumar ◽

Amit Kumar

Keyword(s):

Water Management ◽

Pearl Millet ◽

Management Practices ◽

Abiotic Factors ◽

Research Work ◽

Nutrient Status ◽

Crop Productivity ◽

Irrigation Scheduling ◽

Future Research ◽

Dry Land

Pearl millet also called “poor man food” is known for its drought resistance, well adaptation to harsh conditions like soils with poor water holding capacity, low nutrient status, problematic soils, etc. Irrigation has been recognized as a basic necessity for sustaining high productivity of various crops. Moreover, it affects the crop yield directly as well as indirectly by increasing their response to other inputs including fertilizers and various management practices. It is well known that water deficit is one of the major abiotic factors limiting crop productivity in the semi-arid tropics. Out of the various production constraints; low productivity of pearl millet is mainly attributed to its cultivation under dry land conditions and improper water management under irrigated conditions. So application of irrigation water offers the scope for improving the quality as well as productivity of pearl millet. Therefore, to augment the productivity of the poor’s man crop, review of the research work related to irrigation scheduling and moisture conservation practices of pearl millet has been presented here for directing the future research.

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Influence of off-season land management on maximizing yield and quality of Curcuma longa L. cultivars

Journal of Phytology ◽

10.25081/jp.2018.v10.3459 ◽

1970 ◽

pp. 33-36

Author(s):

A. ANBURANI

Keyword(s):

Land Management ◽

Management Practices ◽

Curcuma Longa ◽

Block Design ◽

Quality Parameters ◽

Polyethylene Film ◽

Superior Performance ◽

Yield And Quality ◽

Randomized Block Design

The present investigation was carried out to study the effect of off season soil management practices on yield and quality of turmeric (Curcuma longa L.) cultivars. The experiment was laid out in a Factorial Randomized Block Design with ten treatments in three replications consisted of five off-season land management treatments viz., fallow (S1), summer ploughing 2 times (S2), summer ploughing 1 time (S3), solarization with transparent polyethylene film of 0.05 mm thick for 40 days (S4) and black polyethylene film for 40 days (S5). It was tested with two popular cultivars viz., Curcuma longa -1 CL-1 (V1) and Curcuma longa-2 CL-2 (V2), collected from Erode and Chidambaram. Various yield components were recorded at the time of harvest and were analysed. The yield attributing characters viz., number, length, girth and weight of mother, primary and secondary rhizomes were recorded. The treatment where solarization with transparent polyethylene film of 0.05 mm thick was tested recorded the highest yield and yield attributing characters when compared to other treatments. The same treatment also exhibited the highest fresh rhizome yield per plant, curing percentage and cured rhizome yield. The quality parameters like curcumin, oleoresin and essential oil content were also showed superior performance in the treatment where solarization with transparent polyethylene film of 0.05 mm thick was applied.

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