scholarly journals Production of lettuce in NFT hydroponic system at different planting seasons and irrigation regimes

2020 ◽  
pp. 1042-1047
Author(s):  
Cláudio Silva Soares ◽  
Alde Cleber Silva de Lima ◽  
Jeneilson Alves da Silva ◽  
Marina Suenia de Araújo Vilar ◽  
André Luiz Pereira da Silva ◽  
...  
Keyword(s):  
Leaf Area ◽  
Arid Regions ◽  
Climatic Conditions ◽  
Growth And Yield ◽  
Leaf Biomass ◽  
Area Index ◽  
Hydroponic System ◽  
Satisfactory Performance ◽  
Irrigation Regimes ◽  
Calcium Iron

Hydroponics has drawn huge interests by Brazilians in semi-arid regions due to the lack of water and fertilizer use. The objective of this study was to evaluate the growth and yield of lettuce cultivars in the hydroponic system in two planting seasons and different irrigation regimes. The research was carried out in Campus II / UEPB and followed a 2 x 6 x 3 factorial scheme in randomized blocks, represented by two planting seasons (the summer and the winter), six lettuce cultivars (Elba, Great Lakes, Mimosa Rose, Simpson, American, Cristina), three irrigation regimes (15 min, 30 min, 45 min) and five replications. The hydroponic system used was the NFT. For nutrition, Hidrogood Fert® solution (Compound + Calcium + Iron) was applied. At the 40th day after sowing, green and dry leaf biomass, green stem biomass, leaf area, leaf area index and productivity were analyzed. After that, the variance analysis was performed by the F-test for 5% of probability and the Scott-Knott test for comparison of the averages. The high temperatures caused very small growth in the stem of the Simpson cultivars, independent of the irrigation regime used. Besides the highlight of the American cultivars, the other cultivars presented satisfactory performance in the climatic conditions of Lagoa Seca / PB.

scholarly journals Simulation of soybean growth and yield under northeastern Amazon climatic conditions

2011 ◽  
Vol 46 (6) ◽  
pp. 567-577 ◽  
Author(s):  
Paulo Jorge de Oliveira Ponte de Souza ◽  
José Renato Bouças Farias ◽  
José Paulo Mourão de Melo e Abreu ◽  
Aristides Ribeiro ◽  
Edson José Paulino da Rocha ◽  
...  
Keyword(s):  
Leaf Area ◽  
Meteorological Data ◽  
Climatic Conditions ◽  
Growth And Yield ◽  
Slight Reduction ◽  
Total Biomass ◽  
Independent Data ◽  
Yield Model ◽  
Area Index ◽  
Soybean Yield

The objective of this work was to parameterize, calibrate, and validate a new version of the soybean growth and yield model developed by Sinclair, under natural field conditions in northeastern Amazon. The meteorological data and the values of soybean growth and leaf area were obtained from an agrometeorological experiment carried out in Paragominas, PA, Brazil, from 2006 to 2009. The climatic conditions during the experiment were very distinct, with a slight reduction in rainfall in 2007, due to the El Niño phenomenon. There was a reduction in the leaf area index (LAI) and in biomass production during this year, which was reproduced by the model. The simulation of the LAI had root mean square error (RMSE) of 0.55 to 0.82 m² m-2, from 2006 to 2009. The simulation of soybean yield for independent data showed a RMSE of 198 kg ha-1, i.e., an overestimation of 3%. The model was calibrated and validated for Amazonian climatic conditions, and can contribute positively to the improvement of the simulations of the impacts of land use change in the Amazon region. The modified version of the Sinclair model is able to adequately simulate leaf area formation, total biomass, and soybean yield, under northeastern Amazon climatic conditions.

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 Growth and Yield of Shallot (Allium cepa L. Aggregatum group) with Application of Beneficial Microorganisms

2019 ◽  
Vol 3 (2) ◽  
pp. 66
Author(s):  
Taufiq Hidayat ◽  
Prapto Yudono ◽  
Endang Sulistyaningsih ◽  
Arif Wibowo
Keyword(s):  
Bacillus Thuringiensis ◽  
Leaf Area ◽  
Allium Cepa ◽  
Mycorrhizal Fungi ◽  
Block Design ◽  
Growth And Yield ◽  
Area Index ◽  
Beneficial Microorganisms ◽  
Trichoderma Sp ◽  
Allium Cepa L

Shallot (Allium cepa L. Aggregatum group) is one of the most widely utilized vegetables by Indonesian people. Some technologies have been adapted to improved shallot productivity. One of those are the application of beneficial microorganisms. We applied mycorrhizal fungi, Trichoderma sp., and Bacillus thuringiensis as well as the combination among these microorganisms were applied in Shallots cultivation and were investigated to improve the growth and development of shallot. A field experiment was arranged in a Randomized Complete Block Design with two treatment factors. The first factor consisted of two shallot cultivars, namely Biru Lancor and Crok Kuning; whilst the second factor consisted of six beneficial microorganism treatments, i.e. control, mycorrhizae, Trichoderma sp., Bacillus thuringiensis, the combination of mycorrhizae and Trichoderma sp., and the combination of those three microorganisms. The observation was conducted on infection percentage of mycorrhizae, total population of Trichoderma sp., leaf area, leaf area index, net assimilation rate, crop growth rate, harvest index, and plant yield. The data obtained were subjected to analysis of variance (ANOVA) and continued with Duncan’s Multiple Range Test (DMRT) at 5% significance level. The results showed the leaf area of shallot was improved as affected by the application of mycorrhizal fungi. The effectiveness and implication of mycorrhizal fungi on shallot growth would decrease if the application of was combined with other microorganisms. However, the application of beneficial microorganisms had not been able to increase component yield and yield of Biru Lancor and Crok Kuning, indicated by bulb weight, number of bulb, bulb diameter, number of bulb per cluster, and bulb yield per hectare.

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.

scholarly journals Growth And Yield of Sorghum (Sorghum bicolor (L.) Moench) Varities in Sokoto Sudan Savanna of Nigeria

2021 ◽  
Vol 25 (8) ◽  
pp. 1513-1518
Author(s):  
A.S. Gunu ◽  
M. Musa
Keyword(s):  
Leaf Area ◽  
Block Design ◽  
Dry Weight ◽  
Growth And Yield ◽  
Area Index ◽  
Days To Heading ◽  
Number Of Leaves ◽  
Total Dry Weight ◽  
Sudan Savanna ◽  
Stalk Weight

Field trial was carried out during the 2019 rainy season (June to October) at the Dryland Teaching and Research Farm of the Faculty of Agriculture, Usmanu Danfodiyo University, Sokoto to determine the growth and yield of sorghum varieties in the study area. The treatments consisted of five (5) sorghum varieties (Samsorg 45, Samsorg 46, Janjari, Yartawa and Jardawa), the treatments were laid out in a Randomized Complete Block Design (RCBD) replicated three (3) times. Data were collected on the growth and yield of the crop. Janjari and Jardawa varieties were higher in plant height. Jardawa and Yartawa varieties were higher in number of leaves. Janjari and Yartawa varieties were higher in total dry weight. Janjari, Jardawa and Yartawa varieties were higher in harvest index. Yartawa variety was higher in leaf area, leaf area index and 1000-grain weight. Jardawa variety was higher in panicle length. Janjari variety was early in number of days to heading, flowering, and maturity and was higher in dry stalk weight. The grain yield (249 – 1506kg ha-1 ) was higher in Janjari and Yartawa varieties (1268 – 1506 kg ha-1). Based on the findings of this research, it could be concluded that Janjari and Yartawa varieties performed better than other varieties in the study area.

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

Relationship Between Leaf Area Index and Atmospheric Cooling of Tree Species

2019 ◽  
Vol 42 (3) ◽  
pp. 203-208
Author(s):  
S. K. Gupta ◽  
◽  
Jeet Ram ◽  
Hukum Singh ◽  
◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Mangifera Indica ◽  
Climatic Conditions ◽  
Tree Canopy ◽  
Strong Positive Correlation ◽  
Evergreen Species ◽  
Terrestrial Environment ◽  
Area Index ◽  
Effective Measure

Presence of tree canopy is known to strongly influence ambient temperature and other micro-climatic conditions underneath. Therefore, planting trees with close or dense crown can be used as effective measure to provide thermal cover to species of flora and fauna adapted to shady and cooler environment. The cooling produced by a tree is exclusively the combined results of physical and physiological functions of its canopy. Tree canopy is one of the most important, physiologically active components that establish interaction between the terrestrial environment and the atmosphere which regulates various bio-physiological processes. Leaf Area Index (LAI) is one of the most reliable indicators of growth and vigour of a tree. We compared LAI and corresponding understory temperature of a few isolated trees of Ficus benjamina, Mangifera indica, Anthocephalus chinensis, Lagerstroemia floribunda and Peltophorum africanum belonging to evergreen, semi-deciduous and deciduous nature to establish the relationship between the two parameters. A great variation in LAIs of deciduous and semi-deciduous species was observed on account of leaf shedding and fast development of crown after emergence of new leaves whereas the variation was lesser in evergreen species. A strong positive correlation was found between LAI and cooling produced by A. chinensis, L. floribunda and P. africanum whereas no linear relation was established in case of M. indica and F. benjamina.

GROWTH AND YIELD RESPONSES OF OPEN POLLINATED MAIZE (Zea mays) TO TYPES AND RATES OF ORGANIC FERTILISERS IN RAINFOREST TRANSITORY AGROECOLOGY OF NIGERIA

2020 ◽  
Vol 15 (2) ◽  
pp. 85-94
Author(s):  
S. G. ADERIBIGBE ◽  
O. S. SAKARIYAWO ◽  
A. A. SORETIRE ◽  
A. A. OYEKANMI ◽  
P. A.S. SOREMI
Keyword(s):  
Zea Mays ◽  
Leaf Area ◽  
Growth Parameters ◽  
Field Trials ◽  
Growth And Yield ◽  
Area Index ◽  
Organic Fertiliser ◽  
Application Rates ◽  
Organic Fertilisers ◽  
Yield Responses

Sustainable maize (Zea mays) production in resource challenged regions of the world is achievable among others through optimal utilisation of organic fertilisers at varying rates. Field trials were conducted in Abeokuta (Latitude 7010' N and Longitude 3015' E) in the late cropping season of 2010 and 2011. Three commercially available organic fertilisers [(Gateway 1 (GF1), Gateway 2 (GF2) and Sunshine (SF)], at three rates (0, 10 and 20 t ha-1) and three replicates were used on improved open-pollinated maize variety (Swam 1 yellow). The experiment was laid out in a randomised completely blocked design. GF1 had significantly (P < 0.05) the highest effect on growth parameters (Plant height, stem girth, leaf area and leaf area Index), with SF the least. A significant depression was observed in most growth parameters at increasing application rates of organic fertiliser, a converse pattern was observed on 1000 grain weight (GW), harvest index and cob length. A significantly higher (P < 0.05) vegetative growth, cob weight and grain yield was observed in 2010 than 2011, while 2011 had longer cobs and more 1000 GW than 2010. GF1 was recommended in Rainforest transitory zone of Nigeria at higher application rates though mediated by environmental factors. Keywords: , , ,   

scholarly journals Effect of nitrobenzene on growth and yield of boro rice

2019 ◽  
Vol 29 (4) ◽  
pp. 304-312
Author(s):  
B Chowdhury ◽  
MHK Howlader ◽  
MK Hossain ◽  
MC Sikder ◽  
MM Hasan
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Foliar Application ◽  
Grain Weight ◽  
Growth And Yield ◽  
Area Index ◽  
Panicle Number ◽  
Biological Yield ◽  
1000 Grain Weight ◽  
Boro Rice

The present experiment was conducted at the research field of Patuakhali Science and Technology University (PSTU), Patuakhali during the period from December 2013 to March 2014 to evaluate the effect of Nitrobenzene as plant growth regulators on growth and yield parameters of Boro Rice. It also observed the comparative growth and yield performance of foliar application   Nitrobenzene ( 0, 1.0,  3.0 and 5.0 ml L–1). Data were collected on Plant height; number of leaves plant–1; number of total, effective and non–effective tillers hill–1; leaf area (LA); leaf area index (LAI); total dry matter (TDM); Crop and relative growth rate (CGR and RGR); and  Yield and yield contributing characters  such as length of root; length of panicle; number of total, sterile and non–sterile spikelets panicle–1; 1000–grain weight; grain, straw and biological yield and harvest index (HI). The experiment was laid out in a completely randomized block design (RCBD) with three replications. The collected data were analyzed statistically and means were adjudged by DMRT at 5% level of probability. The treatments Nitrobenzene @ 3.0 ml L–1 as foliar application gave the highest performance in respect of  plant height (90.39 cm), LAI (3.514), TDM (19.17 g plant–1), effective tiller (20.33 hill–1), total tillers (22.73 hill–1), panicle length (26.01 cm),non sterile spikelets (134.70 panicle–1), total spikelets (155.80 panicle–1), 1000–grain weight (28.21 g),  grain yield (5.86 t ha–1), straw yield (8.44 t ha–1), biological  yield (14.29 t ha–1) and HI (41.00%) of boro rice. Progressive Agriculture 29 (4): 304-312, 2018

scholarly journals Effects of Gibberellic Acid (Ga3) on Growth and Yield Parameters of French Bean (Phaseolus Vulgaris L.)

2017 ◽  
Vol 43 (1) ◽  
pp. 49-60
Author(s):  
Ferdowsi Noor ◽  
Feroza Hossain ◽  
Umme Ara
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Dry Matter ◽  
Growth Parameters ◽  
French Bean ◽  
Research Field ◽  
Growth And Yield ◽  
Growth Stages ◽  
Area Index ◽  
Net Assimilation

A field study was conducted during the Rabi season of 2009-2010 in the research field of Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka. Six levels of GA3, viz. 0, 30, 50, 70, 90 and 110 ppm were sprayed at 18 days after sowing (DAS). GA3 treatments significantly increased plant height than the control plants. GA3 with 30 to 90 ppm significantly increased number of branches and leaves, leaf area, leaf area index (LAI), leaf dry matter and total dry matter at different growth stages. GA3 at 30 to 70 ppm gradually increased crop growth rate (CGR), net assimilation rate (NAR) and relative growth rate (RGR) and declined advanced growth stages. Number of dry pods /plant, number of seeds /pod, 1000 seed weight, fresh fodder, fresh pod, dry seed yield and harvest index also significantly increased. Positive significant correlations were found among growth parameters and as well as yield contributing characters. Asiat. Soc. Bangladesh, Sci. 43(1): 49-60, June 2017

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