scholarly journals Effects of organic manures on the growth and yield of malabar nut (Justicia adhatoda L.)

2021 ◽  
Vol 30 (1) ◽  
pp. 79-86
Author(s):  
S Rahman ◽  
KN Nishi ◽  
M Muslim ◽  
MK Rahman
Keyword(s):  
Growth Performance ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Water Hyacinth ◽  
Growth And Yield ◽  
Leaf Number ◽  
Area Index ◽  
Organic Manures ◽  
Plant Leaf ◽  
Justicia Adhatoda

A pot (7 kg soil/pot) experiment was carried out to evaluate the growth performance of malabar nut (Justicia adhatoda L.) as influenced by different organic manures. Manures were (a) ACI, (b) FDA, (c) GTS, (d) Green life, (e) Kaji, (f) Majim, (g) Shebok, (h) Shufola, (i) Cowdung, and (j) Water hyacinth, applied at the rate of 10 ton/ha. There were eleven treatments and three replications. Pots were arranged in a completely randomized design (CRD). To evaluate the growth performance viz. height, leaf number, leaf area, and leaf area index, girth, and branches were recorded at 15 d intervals up to harvest. Plants (90 d old) were harvested as root, stem, and leaf. Fresh and dry weights of root, stem, and leaf were recorded. The highest height (80.90 cm), leaf number (28.70 no./plant), leaf area (175.77cm2/plant), leaf area index (0.462) were observed in water hyacinth. The lowest height (42.20 cm), leaf number (13.70 no./plant), leaf area (45.58 cm2/plant), and leaf area index (0.12) were recorded in control. Maximum fresh and dry weights (root, stem, and leaf) were 129.19 g/plant and 57.97 g/plant found in water hyacinth, respectively. Results concluded that the overall growth and yield were achieved better in water hyacinth manure. Dhaka Univ. J. Biol. Sci. 30(1): 79-86, 2021 (January)

Influence of different organic manures on growth, yield and mineral nutrient accumulation in lettuce (Lactuca sativa L.)

2021 ◽  
Vol 30 (2) ◽  
pp. 159-168
Author(s):  
Shabnur Chowdhury ◽  
MK Rahman
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Lactuca Sativa ◽  
Dry Weight ◽  
Organic Manure ◽  
Leaf Number ◽  
Nutrient Accumulation ◽  
Area Index ◽  
Organic Manures ◽  
Lactuca Sativa L

Effects of organic manures on growth and yield of lettuce (Lactuca sativa L.) and nutrient accumulation in its leaves was examined. The experiment was conducted in a completely randomized design (CRD) replicated thrice with ten treatments involving nine organic manures and a control treatment. Growth parameters viz. plant height, leaf number, leaf length, leaf area, leaf area index and fresh and dry weight of leaf, stem and root were assessed. The highest height (23.69 cm), longest leaf (32.18cm), leaf area (5883.43cm2), leaf area index (6.434), fresh weight (85.41 g) and dry weight (42.73 g) were found in Payel organic manure. The maximum leaf number (27) was recorded in Approshika organic manure. The maximum content of nitrogen (6.12%), phosphorus (1.83%), potassium (4.11%) and Sulphur (1.69%) were observed in Payel organic manure. The best growth performance and nutrient accumulation was observed in Payel organic manure. Dhaka Univ. J. Biol. Sci. 30(2): 159-168, 2021 (July)

scholarly journals Nodulation, Growth and Yield of Soybean [Glycine max (L.) Merrill] as Influenced by Biofertilizer and Inorganic Fertilizers in Assosa Zone, Western Ethiopia

2021 ◽  
Author(s):  
Abiyot Abeje ◽  
Getachew Alemayehu ◽  
Tesfaye Feyisa
Keyword(s):  
Glycine Max ◽  
Grain Yield ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Growth And Yield ◽  
Inorganic Fertilizers ◽  
Area Index ◽  
Plant Leaf ◽  
Glycine Max L ◽  
Western Ethiopia

Background: The productivity of soybean in Assosa Zone particularly in Assosa and Bambassi districts is very low due to poor soil fertility management practices which resulted in severe soil acidity and low N-fixing inoculant in the soil. Hence, this experiment was conducted to evaluate the influence of biofertilizer and inorganic fertilizers on nodulation, growth and yield of soybean [Glycine max (L.) Merrill]. Methods: During the period 2019-2020 factorial combinations of four levels of biofertilizer inoculants [without inoculant (B1), SB12 inoculant (B2), MAR1495 inoculant (B3) and SB12 plus MAR1495 inoculants (B4); and four inorganic fertilizer types NP (F1), NPS (F2), NPB (F3) and NPSB (F4) at their recommended rates for soybean] were laid out in a randomized complete block design (RCBD) with three replications in Assosa and Bambassi districts, Assosa Zone, Western Ethiopia. Number of effective nodules per plant, leaf area index and grain yield were collected following the standard procedures and were analyzed using SAS software version 9.1.3 and significant mean differences were separated using Duncan’s multiple range test (DMRT) at 5% significance level. Result: Number of effective nodules per plant, leaf area index and grain yield were highly significantly (P less than 0.01) affected by the interactions of biofertilizer and inorganic fertilizers at both locations and years. Thus, the maximum grain yield (2621.67 kg) was obtained from (SB12+MAR1495) + NPSB at Assosa and the maximum grain yield (2460.20 kg) was obtained from SB12+NPS at Bambassi. Hence, (SB12+MAR1495) + NPSB and SB12+NPS are recommended for higher soybean grain yield for Assosa and Bambassi districts and similar agro-ecologies, respectively.

scholarly journals Efficacy of Bat Guano on Growth and Yield of Some Hybrid Sunflower (Helianthus Annus, L.) Cultivars in Sudan

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Abubaker H. M. Adam ◽  
Abdalla Adam ◽  
Faiza M.A Magid
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Plant Height ◽  
Nitrogen Fertilizer ◽  
Seed Weight ◽  
Growth And Yield ◽  
Leaf Number ◽  
Area Index ◽  
Increasing Demand ◽  
Bat Guano

Today; there is an increasing demand for fertilizers due to the intensive and extensive agricultural activity to meet the ever increasing demand for food and fiber by the rapid world population expansion. This study is mainly concern with the Bat Guano which is usually collected from the Caves. This experiment was conducted at the Farm of the College of Agriculture, University of Bahri, Alkadaro, Khartoum North-Sudan during the period from July to November, 2017 with the objective to investigate the efficacy of Bat Guano and Nitrogen fertilizer on growth and yield of Serena and Opera (Helianthusannus, L.) Hybrid Sunflower cultivars. The study was based on split-plot experiment in randomized complete block design (RCBD) with four (4) replications. Data pertaining Plant Height (cm), Leaf Number (LN), Leaf Area (LA), Leaf Area Index (LAI) and Seed Weight (SW) were studied. The said data were analyzed using Statistic 8- software. The results reflected significant increase in plant height (F= 6.05, P < 0.0001, leaf number (F=2.37, P<0.0388), leaf area (F= 7.44, P<0.001), leaf area index (F= 6.53, P < 0.0001) and seed weight of both Sunflower cultivars respectively due to application of Guano and Nitrogen fertilizer compared to the control. It also reflected non-significant difference between all studied traits as application of either Guano or Nitrogen fertilizer. Moreover, all studied characters of the two cultivars have similarly responded to the application of the two types of fertilizers. Further studies are recommended to assess the benefits from the use of Bat Guano as a fertilizer.

scholarly journals Growth and yield of wheat at different dates of sowing under chrland ecosystem of Bangladesh

2017 ◽  
Vol 14 (2) ◽  
pp. 147-154 ◽  
Author(s):  
MM Kamrozzaman ◽  
MAH Khan ◽  
S Ahmed ◽  
N Sultana
Keyword(s):  
Growth Rate ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Dry Matter ◽  
Block Design ◽  
Grain Filling ◽  
Crop Growth ◽  
Growth And Yield ◽  
Area Index ◽  
Crop Growth Rate

An experiment was conducted at Sadipur charland under Farming System Research and Development Site, Hatgobindapur, Faridpur, during rabi season of 2012-13 and 2013-14 to study the growth and yield performance of cv. BARI Gom-24 as affected by different dates of sowing under Agro-ecological Zone-12 (AEZ-12) of Bangladesh. The experiment was laid out in randomized complete block design with six replications, comprising five different dates of sowing viz. November 5, November 15, November 25, December 5 and December 15. Results reveal that the tallest plant, leaf area index, total dry matter, and crop growth rate were observed in November 25 sown crop and leaf area index, total dry matter and crop growth rate were higher at booting, grain filling, and tillering stages of the crop. Maximum effective tillers hill-1 (3.49), spikes m-2, (311), number of grains spike-1 (42.20) and 1000-grain weight (52.10 g) were produced by November 25 sown crop exhibited the highest grain (4.30 t ha-1) and straw yield (4.94 t ha-1) as well as harvest index (46.88%) of the crop. Lowest performance was observed both in early (November 5) and late sown crop (December 15). The overall results indicated that November 25 sown crop showed better performance in respect of growth and yield of wheat under charland ecosystem of Bangladesh.J. Bangladesh Agril. Univ. 14(2): 147-154, December 2016

scholarly journals Extracting Leaf Area Index Using Viewing Geometry Effects - A New Perspective on High-Resolution Unmanned Aerial System Photography.

2020 ◽  
Author(s):  
Lukas Roth ◽  
Helge Aasen ◽  
Achim Walter ◽  
Frank Liebisch
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Plant Ecology ◽  
Growth And Yield ◽  
Unmanned Aerial System ◽  
Area Index ◽  
Handheld Device ◽  
Gap Fraction ◽  
Rgb Images ◽  
New Perspective

Abstract Extraction of leaf area index (LAI) is an important prerequisite in numerous studies related to plant ecology, physiology and breeding. LAI is indicative for the performance of a plant canopy and of its potential for growth and yield. In this study, a novel method to estimate LAI based on RGB images taken by an unmanned aerial system (UAS) is introduced. Soybean was taken as the model crop of investigation. The method integrates viewing geometry information in an approach related to gap fraction theory. A 3-D simulation of virtual canopies helped developing and verifying the underlying model. In addition, the method includes techniques to extract plot based data from individual oblique images using image projection, as well as image segmentation applying an active learning approach. Data from a soybean field experiment were used to validate the method. The thereby measured LAI 14 prediction accuracy was comparable with the one of a gap fraction-based handheld device (R2 of 0.92, RMSE of 0.42 m2 m2) and correlated well with destructive LAI measurements (R2 of 0.89, RMSE of 0.41 m2 m2). These results indicate that, if respecting the range (LAI ≤3) the method was tested for, extracting LAI from UAS derived RGB images using viewing geometry information represents a valid alternative to destructive and optical handheld device LAI measurements in soybean. Thereby, we open the door for automated, high-throughput assessment of LAI in plant and crop science.

Integrating remote sensing and climate data with process-based models to map forest productivity within west-central Alberta's boreal forest: Ecoleap-West

2006 ◽  
Vol 82 (2) ◽  
pp. 159-176 ◽  
Author(s):  
R J Hall ◽  
F. Raulier ◽  
D T Price ◽  
E. Arsenault ◽  
P Y Bernier ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Management Practices ◽  
Forest Productivity ◽  
Process Models ◽  
Growth And Yield ◽  
Area Index ◽  
Study Region

Forest yield forecasting typically employs statistically derived growth and yield (G&Y) functions that will yield biased growth estimates if changes in climate seriously influence future site conditions. Significant climate warming anticipated for the Prairie Provinces may result in increased moisture deficits, reductions in average site productivity and changes to natural species composition. Process-based stand growth models that respond realistically to simulated changes in climate can be used to assess the potential impacts of climate change on forest productivity, and hence can provide information for adapting forest management practices. We present an application of such a model, StandLEAP, to estimate stand-level net primary productivity (NPP) within a 2700 km2 study region in western Alberta. StandLEAP requires satellite remote-sensing derived estimates of canopy light absorption or leaf area index, in addition to spatial data on climate, topography and soil physical characteristics. The model was applied to some 80 000 stand-level inventory polygons across the study region. The resulting estimates of NPP correlate well with timber productivity values based on stand-level site index (height in metres at 50 years). This agreement demonstrates the potential to make site-based G&Y estimates using process models and to further investigate possible effects of climate change on future timber supply. Key words: forest productivity, NPP, climate change, process-based model, StandLEAP, leaf area index, above-ground biomass

Field Competition between Ivyleaf Morningglory (Ipomea hederacea) and Soybeans (Glycine max)

Weed Science ◽  
1984 ◽  
Vol 32 (3) ◽  
pp. 364-370 ◽  
Author(s):  
Ronald C. Cordes ◽  
Thomas T. Bauman
Keyword(s):  
Soil Moisture ◽  
Glycine Max ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Dry Weight ◽  
Growth And Yield ◽  
Yield Reduction ◽  
Area Index ◽  
Soybean Yield ◽  
Competition Effects

Detrimental effects on growth and yield of soybeans [Glycine max(L.) Merr. ‘Amsoy 77′] from density and duration of competition by ivyleaf morningglory [Ipomea hederacea(L.) Jacq. ♯3IPOHE] was evaluated in 1981 and 1982 near West Lafayette, IN. Ivyleaf morningglory was planted at densities of 1 plant per 90, 60, 30, and 15 cm of row in 1981 and 1 plant per 60, 30, 15, and 7.5 cm of row in 1982. Each density of ivyleaf morningglory competed for 22 to 46 days after emergence and the full season in 1981, and for 29 to 60 days after emergence and the full season in 1982. The best indicators of competition effects were leaf area index, plant dry weight, and yield of soybeans. Ivyleaf morningglory was more competitive during the reproductive stage of soybean growth. Photosynthetic irradiance and soil moisture measurements indicated that ivyleaf morningglory does not effectively compete for light or soil moisture. All densities of ivyleaf morningglory could compete with soybeans for 46 and 60 days after emergence in 1981 and 1982, respectively, without reducing soybean yield. Full-season competition from densities of 1 ivyleaf morningglory plant per 15 cm of row significantly reduced soybean yield by 36% in 1981 and 13% in 1982. The magnitude of soybean growth and yield reduction caused by a given density of ivyleaf morningglory was greater when warm, early season temperatures favored rapid weed development.

scholarly journals Impact of Vermicompost, Poultry Manure and Jeevaamrit on Growth Parameters of Kiwifruit (Actinidia deliciosa) cv. Allison

2020 ◽  
pp. 31-40
Author(s):  
Ashok K. Garg ◽  
Rajesh Kaushal ◽  
Vishal S. Rana
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Photosynthetically Active Radiation ◽  
Poultry Manure ◽  
Growth And Yield ◽  
Recommended Dose ◽  
Inorganic Fertilizers ◽  
Area Index ◽  
Active Radiation ◽  
Chlorophyll Index

The present investigation was conducted on 6 years old kiwifruit vines cultivar ‘Allison’ at a spacing of 4.0 m × 6.0 m for two consecutive years 2018-19 and 2019-20 at experimental block of Department of Fruit Science, Dr YS Parmar University of Horticulture and Forestry, Nauni, Solan (HP). The experiment was laid out in triplicate in Randomized Block Design with 8 treatments under three farming systems viz., Inorganic Fertilizer Based System (IFBS), Organic Farming Based System (OFBS) and Subhash Palekar’s Natural Farming System (SPNFS). The maximum leaf area (158.1 cm2), leaf area index (4.36), chlorophyll index (51.2), comparative photosynthetically active radiation (612 µ mol quanta m-2 s-1) was found in the treatment (T8) receiving 30 liters of jeevaamrit (JM) + 3 kg ghana jeevaamrit and 40 kg FYM per vine under SPNFS. Among OFBS, the treatment T2 (100% recommended dose of nitrogen (RDN) through vermicompost and poultry manure on 50:50 basis) observed maximum leaf area (151.8 cm2), leaf area index (4.35), comparative photosynthetically active radiation (642 µ mol quanta m-2 s-1) but lower significantly lower chlorophyll index (51.2) over T1 (Recommended dose of inorganic fertilizers + FYM) treatment of IFBS. Hence application of 30 litres jeevaamrit and 3 kg ghana jeevaamrit (both in 3 equal splits first in end of January, second in February and third in the month of April) along with 40 kg FYM per vine or alternatively substitution of 100% RDN through vermicompost and poultry manure on 50:50 basis along with 40 kg FYM were found to be best and alternate different option in place of inorganic fertilizers to ‘Allison’ cultivar of kiwifruit under mid-hill conditions of Himachal Pradesh, India. Furthermore, the research emphases mainly on improving soil health without compromising growth and yield of kiwifruits in the region. By using alternative sources of nutrients, farmers can obtain the comparable growth and yield of kiwifruits.

scholarly journals Influence of Date of Sowing on Growth and Yield Performance of Field Pea (Pisum sativum L.) Genotypes

2020 ◽  
pp. 26-34
Author(s):  
Bulbul Ahmed ◽  
Ahmed Khairul Hasan ◽  
Biswajit Karmakar ◽  
Md. Sahed Hasan ◽  
Fahamida Akter ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Seed Yield ◽  
Growth Parameters ◽  
Field Pea ◽  
Growth And Yield ◽  
Yield Performance ◽  
Area Index ◽  
Stover Yield ◽  
Growth Characters

An experiment was carried out at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh during October 2014 to March 2015 to study the growth and yield performance of field pea varieties as influenced by date of sowing. The experiment comprised of two factors namely, date of sowing and variety. Date of sowing comprised of 29 October, 13 November and 28 November and the variety comprised of BARI motor-1, BADC motor-1, Natore local and Narail local. The experiment was laid out in a split plot design with three replications. The results indicate that all the growth characters were varied significantly at different days after. Those growth characters except leaf area index were highest for the crop sown on 28 November. The growth characters were highest in variety Natore local and lowest in Narail local except dry matter it was lowest in BADC motor-1. The interaction effect of 28 November sowing, Natore local was highest for all of the growth parameters except leaf area index it was highest on 13 November sowing and the interaction on 29 October sowing BARI motor-1 gave the lowest value. Most of the yield contributing parameters significantly affected by sowing date. The highest seed yield (827.7 kg ha-1) and other yield contributing characters were found on early sowing (13 November) and the lowest seed yield (534 kg ha-1) and other yield contributing characters was at 28 November sowing. Variety had significant effect on yield and yield contributing parameters. The highest seed yield (1032.2 kg ha-1) and Stover yield (3221.35 kg ha-1) was obtained from Natore local while Narail local gave lowest (469.1 kg ha-1) seed yield and lowest Stover yield. The interaction of 13 November with Natore local gave the highest seed yield (1319.3 kg ha-1) and lowest seed yield was produced by Narail local (330.35 kg ha-1) by late sowing (28 November). It can be concluded that, vegetative growth were highest at 28 November sowing and yield components gave highest value on 13 November sowing. Highest yield was produced by Natore local at 13 November sowing but yield was reduced drastically when the crop sown on 28 November. So, it is clear that the optimum date of sowing for field pea is at 13 November.

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