The Effect of Different Fertilizers Management Strategies on Growth and Yield of Upland Black Glutinous Rice and Soil Property

2010 ◽  
Vol 9 (7) ◽  
pp. 414-422 ◽  
Author(s):  
A. Naing Oo ◽  
P. Banterng ◽  
A. Polthanee ◽  
V. Trelo-Ges
Keyword(s):  
Soil Property ◽  
Management Strategies ◽  
Growth And Yield ◽  
Glutinous Rice

Response of corn (Zea mays L.) to various organic-based fertilizers in marginal upland of Sta. Rita, Samar

2017 ◽  
pp. 31-43
Author(s):  
Berta Ratilla ◽  
Loreme Cagande ◽  
Othello Capuno
Keyword(s):  
Block Design ◽  
Management Strategies ◽  
Chemical Properties ◽  
Organic Fertilizers ◽  
Growth And Yield ◽  
Physical And Chemical Properties ◽  
Total N ◽  
Randomized Complete Block Design ◽  
Physical And Chemical ◽  
And Chemical Properties

Organic farming is one of the management strategies that improve productivity of marginal uplands. The study aimed to: (1) evaluate effects of various organic-based fertilizers on the growth and yield of corn; (2) determine the appropriate combination for optimum yield; and (3) assess changes on the soil physical and chemical properties. Experiment was laid out in Randomized Complete Block Design, with 3 replications and 7 treatments, namely; T0=(0-0-0); T1=1t ha-1 Evans + 45-30-30kg N, P2O5, K2O ha-1; T2=t ha-1 Wellgrow + 45-30-30kg N, P2O5, K2O ha-1; T3=15t ha-1 chicken dung; T4=10t ha-1 chicken dung + 45-30-30kg N, P2O5, K2O ha-1; T5=15t ha-1 Vermicast; and T6=10t ha-1 Vermicast + 45-30-30kg N, P2O5, K2O ha-1. Application of organic-based fertilizers with or without inorganic fertilizers promoted growth of corn than the control. But due to high infestation of corn silk beetle(Monolepta bifasciata Horns), its grain yield was greatly affected. In the second cropping, except for Evans, any of these fertilizers applied alone or combined with 45-30-30kg N, P2O5, K2O ha-1 appeared appropriate in increasing corn earyield. Soil physical and chemical properties changed with addition of organic fertilizers. While bulk density decreased irrespective of treatments, pH, total N, available P and exchangeable K generally increased more with chicken dung application.

scholarly journals Nitrogen management strategies to improve growth and yield of cashew

2020 ◽  
Vol 8 (5) ◽  
pp. 611-614
Author(s):  
Dr. SV Patil ◽  
Dr. Nagaraja G ◽  
Dr. GR Rajkumar ◽  
Dr. Lingaraju NN ◽  
Dr. Adiga JD
Keyword(s):  
Management Strategies ◽  
Nitrogen Management ◽  
Growth And Yield

scholarly journals Growth and yield responses under different grove floor management strategies for water conservation in young grapefruit trees

2019 ◽  
Vol 256 ◽  
pp. 108567 ◽  
Author(s):  
Catherine R. Simpson ◽  
Juan Carlos Melgar ◽  
Shad D. Nelson ◽  
Mamoudou Sétamou
Keyword(s):  
Water Conservation ◽  
Management Strategies ◽  
Growth And Yield ◽  
Yield Responses

scholarly journals To Blend or Not to Blend? A Framework for Nationwide Landsat–MODIS Data Selection for Crop Yield Prediction

2020 ◽  
Vol 12 (10) ◽  
pp. 1653
Author(s):  
Yang Chen ◽  
Tim R. McVicar ◽  
Randall J. Donohue ◽  
Nikhil Garg ◽  
François Waldner ◽  
...  
Keyword(s):  
Crop Yield ◽  
Temporal Frequency ◽  
Management Strategies ◽  
Crop Growth ◽  
Growth And Yield ◽  
Yield Prediction ◽  
Landsat Images ◽  
Yield Model ◽  
Pixel Resolution ◽  
Country Level

The onus for monitoring crop growth from space is its ability to be applied anytime and anywhere, to produce crop yield estimates that are consistent at both the subfield scale for farming management strategies and the country level for national crop yield assessment. Historically, the requirements for satellites to successfully monitor crop growth and yield differed depending on the extent of the area being monitored. Diverging imaging capabilities can be reconciled by blending images from high-temporal-frequency (HTF) and high-spatial-resolution (HSR) sensors to produce images that possess both HTF and HSR characteristics across large areas. We evaluated the relative performance of Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat, and blended imagery for crop yield estimates (2009–2015) using a carbon-turnover yield model deployed across the Australian cropping area. Based on the fraction of missing Landsat observations, we further developed a parsimonious framework to inform when and where blending is beneficial for nationwide crop yield prediction at a finer scale (i.e., the 25-m pixel resolution). Landsat provided the best yield predictions when no observations were missing, which occurred in 17% of the cropping area of Australia. Blending was preferred when <42% of Landsat observations were missing, which occurred in 33% of the cropping area of Australia. MODIS produced a lower prediction error when ≥42% of the Landsat images were missing (~50% of the cropping area). By identifying when and where blending outperforms predictions from either Landsat or MODIS, the proposed framework enables more accurate monitoring of biophysical processes and yields, while keeping computational costs low.

Effects of innovative microbial management on maize ( Zea mays L.) yield in a long-term fertilisation experiment

2010 ◽  
Vol 58 (3) ◽  
pp. 239-251
Author(s):  
Z. Berzsenyi ◽  
G. Micskei ◽  
I. Jócsák ◽  
P. Bónis ◽  
E. Sugár
Keyword(s):  
Grain Yield ◽  
Management Strategies ◽  
Growth Yield ◽  
Growth And Yield ◽  
Microbial Consortia ◽  
Long Term Results ◽  
Stress Index ◽  
Mean Values ◽  
Maize Growth

Research indicates that there is considerable potential for a successful switch from high chemical use to lower-input, more sustainable farming practices for maize. The overall objective of the MicroMaize project was to field-test the performance of innovative microbiological management strategies. The effect of microbial consortia on maize growth and grain yield was studied in 2008 and 2009 at Martonvásár (Hungary) in a 50-year-old long-term fertilisation experiment. The experiment was set up in a split-plot design with four replications. The main plots were the fertilisation treatments: A: control, without fertilisation (N 0 P 0 K 0 ), B: N 50 P 24 K 43 , C: N 100 P 48 K 87 , D: N 200 P 96 K 174 , E: N 300 P 144 K 261 . Three microbial inoculation treatments were the sub-plots: C0: control, no microbial consortia, C1: A. lipoferum CRT1 + P. fluorescens Pf153 + G. intraradices JJ 129 , C2: A. lipoferum CRT1 + P. fluorescens F113 + G. intraradices JJ129 . The results indicated that the microbial consortia had no significant effect on maize growth and yield. In the ecophysiological analyses, the microbial consortia were found to have a significant positive effect on the chlorophyll content and on the protein and nitrogen contents of the grain yield in 2009. The long-term results revealed that the mineral fertilisation treatments and the year had a significant influence on the growth, yield and grain quality parameters of maize. The effect of nutrient supplies and year during the vegetative growth phase of maize could be quantified using the mean values of the absolute growth rate (AGR) for maize shoots and roots and with the nutrient stress index calculated from AGR. Further field investigations on productivity and eco-physiological parameters will be needed to estimate the effect of microbial consortia.

scholarly journals The Effect of Different Weed Management Strategies on the Growth and Yield of Direct-Seeded Dry Rice (Oryza sativa)

2016 ◽  
Vol 34 (1) ◽  
pp. 57-64 ◽  
Author(s):  
S. MUHAMMAD ◽  
I. MUHAMMAD ◽  
A. SAJID ◽  
L. MUHAMMAD ◽  
A. MAQSHOOF ◽  
...  
Keyword(s):  
Weed Control ◽  
Crop Yield ◽  
Weed Management ◽  
Management Strategies ◽  
Control Measures ◽  
Growth And Yield ◽  
Primary Concern ◽  
Herbicide Treatment ◽  
Direct Seeded ◽  
Hand Weeding

Weed management is a primary concern in direct seeded rice (DSR) cropping because weed growth becomes a major constraint on crop yield. A two year field study was set up to evaluate the effect of various weed control measures on crop growth, grain yield and grain quality of DSR. The experiment involved five different weed control measures: hand weeding, hoeing, inter-row tine cultivation, inter-row spike hoeing and herbicide treatment (Nominee 100 SC). The extent of weed control (compared to a non-weeded control) ranged from 50-95%. The highest crop yield was obtained using hand weeding. Hand weeding, tine cultivation and herbicide treatment raised the number of fertile rice tillers formed per unit area and the thousand grain weight. Tine cultivation provided an effective and economical level of weed control in the DSR crop.

scholarly journals Study of Manure on Growth and Yield of White Glutinous Rice (Oryza Sativa L. Glutinosa)

2020 ◽  
Vol 22 (1) ◽  
pp. 56
Author(s):  
Siti Nurjanah ◽  
Dewi Ratna Nurhayati ◽  
Siswadi Siswadi
Keyword(s):  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Block Design ◽  
Chicken Manure ◽  
Growth And Yield ◽  
Randomized Block Design ◽  
Glutinous Rice ◽  
Treatment Data ◽  
Goat Manure ◽  
Range Test

Research on "Study of Manure on Growth and Yield of White Glutinous Rice (Oryza Sativa L. var. Glutinosa)" has been carried out from November 11th, 2019 to March 2th, 2020 in Donoudan Village, Ngemplak District, Boyolali Regency, the height of the place around 150 masl and the type of soil grumusol. This study uses a Complete Randomized Block Design (RAKL) with a single factor consisting of 10 kinds of treatments and repeated 3 times. Consisting D0, A1, A2, A3, K1, K2, K3, S1, A2, A3. Obsevation was carried out by taking 8 sample plants at each treatment. Data from this study were analyzed with the Uji Duncan’s Multiple Range Test (DMRT) at 5%, the parameters observed included plant height, number of tillers per family, leaf color, panicle length of number of productive tillers, weight of grain harvest per plot, weight of grain harvest per clump, and weight of 1000 grains. The results of the research, it was shown that the application of manure affected the length of panicle, the number of productive tillers, the weight of dried grains per clump, the weight of unhulled rice per plot and the weight of 1000 grains. The use of chicken manure with a dose of 4,5 kg/plot gave the highest yield of grain weight per plot which was 1820,90 grams (8,67 tons/ha), had a significant effect with control without manure (increase of 38,73) but not significant effect by providing treatmen of cow manure and goat manure. 

scholarly journals Effect of Nitrogen Fertilizer Dosage and Seedlings Age on the Yield and Use of Solar Energy in Glutinous Rice (Oryza sativa glutinous L.)

2018 ◽  
Vol 15 (2) ◽  
pp. 447-454
Author(s):  
Sunawan Sunawan ◽  
Yogi Sugito ◽  
Eko Widaryanto ◽  
Titik Islami
Keyword(s):  
Oryza Sativa ◽  
Solar Energy ◽  
Nitrogen Fertilizer ◽  
Energy Use ◽  
Dry Weight ◽  
Energy Conversion Efficiency ◽  
N Fertilizer ◽  
Growth And Yield ◽  
Glutinous Rice ◽  
Four Levels

Glutinous rice (Oryza sativa glutinous L.) is one of the most important types of rice for food and health industries. However, the productivity is still low because the cultivation system has not been done optimally. This is also because the research on glutinous rice cultivation is still very small. The objective of this experiment is to get the N fertilizer dosage and seedlings age that can increase the growth and yield as well as the efficiency of solar energy through increased efficiency of absorbed energy use. The treatment consisted of four levels of nitrogen fertilizer dose (D1 = 45 kg ha-1, D2 = 90 kg ha-1, D3 = 135 kg ha-1 and D4 = 180 kg ha-1) and three levels of seedlings age (U1 = 14 days, U2 = 21 days and U3 = 28 days). This treatment combination was arranged in a Split Plot Design with three replications, N fertilizer dosage as the main plot and seedlings age as the subplot. The results showed that the N fertilizer dosage used in this experiment had a significant effect on dry weight, the number of tillers, yields, absorbed use efficiency (AUE) and Energy Conversion Efficiency (ECE). Seedlings age did not give a significant effect on the number of productive tillers and grain yields. The highest grain yield was achieved by treatment of N 180 kg ha-1 fertilizer dose of 9.86 t ha-1 with AUE value of 2.83% and ECE 4.84%.

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