Effect of bio-stimulants on the physiological and quality parameters of bush bean (Lablab purpureus)

Crop Research ◽  
2020 ◽  
Vol 55 (5&6) ◽  
Keyword(s):  
Quality Parameters ◽  
Lablab Purpureus ◽  
Bush Bean

scholarly journals EFFECT OF BIOSTIMULANTS ON THE GROWTH OF BUSH BEAN (Lablab purpureus var. typicus) cv. Co (Gb)14

2021 ◽  
Vol 21 (Suppliment-1) ◽  
pp. 63-65
Author(s):  
P. Madhanakumari ◽  
V. M. Priyadarshini
Keyword(s):  
Lablab Purpureus ◽  
Bush Bean

Assessing yield quality parameters in bush bean via RGB imagery

2021 ◽  
pp. 421-428
Author(s):  
D. Jollet ◽  
U. Rascher ◽  
M. Müller-Linow
Keyword(s):  
Quality Parameters ◽  
Bush Bean ◽  
Yield Quality

scholarly journals Seasonal dynamics of bean aphids and its relationship with the abundance of Lady Bird Beetles

2021 ◽  
Vol 48 (2) ◽  
pp. 357-363
Author(s):  
Mohsen Ara Sharmin ◽  
Md Ruhul Amin ◽  
Md Ramiz Uddin Miah ◽  
Abdul Mannan Akanda
Keyword(s):  
Seasonal Dynamics ◽  
Multiple Regression Equation ◽  
Lablab Purpureus ◽  
Dolichos Lablab ◽  
Bush Bean ◽  
Increasing Trend ◽  
Predatory Insect ◽  
Aphis Craccivora Koch ◽  
Hyacinth Bean ◽  
The Relationship

The seasonal dynamics of aphid Aphis craccivora Koch (Hemiptera: Aphididae) on four bean species namely country bean Lablab purpureus, yard long bean Vigna sesquipedalis, hyacinth bean Dolichos lablab and bush bean Phaseolus vulgaris were studied from September to December 2017 in the experimental field of the Department of Entomology, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh. The study also investigated the relationship between the abundance of aphid and its predatory insect lady bird beetle. Aphid abundance on the bean species showed increasing trend from the 4th week of September and reached to the peak during the 2nd week of November and then declined. Bush bean and yard long bean, respectively depicted the higher and lower abundances of aphid throughout the study. Relationship between the abundance of aphid and lady bird beetle on the bean species were positively correlated. Aphid showed negatively correlation with temperature and rainfall, and positive correlation with relative humidity, and the correlations were not significant. Multiple regression equation showed that temperature had the highest effect which contributed 16.1 - 19.2% role on the population of aphid. Bangladesh J. Zool. 48(2): 357-363, 2020

scholarly journals Effect of biostimulants on the yield of bush bean (Lablab purpureus var. typicus)

2021 ◽  
pp. 66-70
Author(s):  
V.M. PRIYADARSHINI
Keyword(s):  
Tamil Nadu ◽  
Block Design ◽  
Foliar Spray ◽  
Seaweed Extract ◽  
Net Income ◽  
Lablab Purpureus ◽  
Yield Attributes ◽  
Randomized Block Design ◽  
Bush Bean ◽  
Pod Length

A field experiment was conducted assess the influences of biostimuants on the yield of bush bean cv. Co (Gb) 14 at Poothurai village, Tamil Nadu during kharif season of 2019 in randomized block design with nine treatments and three replications. Biostimulants adopted for the study were seaweed extract, panchagavya, chitosan and effective microorganism with two different concentrations applied as foliar spray on 30, 45 and 60 days after sowing.Results revealed that the maximum values of yield parameters viz., length of the raceme(51.2 cm), number of racemes plant-1(8.5), number of flowers raceme-1 (26.4), number of flowers (221.5), days to 50 % flowering (36.6 days), number of pods plant-1(41.6), pod length (10.6 cm), pod width (3.2 cm), single pod weight (4.6 g), number of seeds (5.2), total pod yield (12.6 t/ha), net income (Rs. 1,71,628 ha-1) and B:C ratio (3.14)were recorded under the treatment of seaweed extract (5mL-1) + RDF. The RDF + 3% panchagavya proved next best treatment in respect of these parameters. Among all the biostimulants, seaweed proved superior to others in respect of flowering and yield attributes. The minimum values of all these characters were recorded under control

Monitoring of essential oils during storage by selected quality parameters

Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
C Turek ◽  
S Ritter ◽  
F Stintzing
Keyword(s):  
Essential Oils ◽  
Quality Parameters

Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning

TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Predictive Analytics ◽  
Paper Industry ◽  
Quality Parameters ◽  
Fast Change ◽  
The Face ◽  
Model Tuning ◽  
Reducing Costs ◽  
Time Critical

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.

Quality of ram spermatozoa separated with modified swim up method

2018 ◽  
Vol 33 (2) ◽  
pp. 62-70 ◽  
Author(s):  
A Hossain ◽  
MM Islam ◽  
F Naznin ◽  
RN Ferdousi ◽  
FY Bari ◽  
...  
Keyword(s):  
Semen Quality ◽  
Membrane Integrity ◽  
Quality Parameters ◽  
Fluid Medium ◽  
Normal Morphology ◽  
The Mean ◽  
Mass Activity ◽  
Fresh Semen ◽  
Artificial Vagina

Semen was collected from four rams, using artificial vagina and viability%, motility% and plasma membrane integrity% were measured. Fresh ejaculates (n = 32) were separated by modified swim-up separation using modified human tubal fluid medium. Four fractions of supernatant were collected at 15-minute intervals. The mean volume, mass activity, concentration, motility%, viability%, normal morphology and membrane integrity% (HOST +ve) of fresh semen were 1.0 ± 0.14, 4.1 ± 0.1 × 109 spermatozoa/ml, 85.0 ± 1.3, 89.4 ± 1.0, 85.5 ± 0.7, 84.7 ± 0.5 respectively. There was no significant (P>0.05) difference in fresh semen quality parameters between rams. The motility%, viability% and HOST +ve % of first, second, third and fourth fractions were 53.4 ± 0.5, 68.2 ± 0.3, 74.8 ± 0.3 and 65.5 ± 0.4; 55.5 ± 0.4, 66.2 ± 0.4, 74.5 ± 0.3 and 73.6 ± 0.3 and 66.7 ± 0.5, 66.8 ± 0.5, 65.2 ± 0.4 and 74.7 ± 0.5 respectively. The motility%, viability% and membrane integrity% of separated semen samples differed significantly (P<0.05) between four fractions. The mean motility% and viability% were significantly higher (P<0.05) in third fraction (74.8 ± 0.3%), whereas the mean HOST +ve% was significantly higher (P<0.05) in fourth fraction (74.7 ± 0.5). All quality parameters of separated spermatozoa were significantly (P<0.05) lower than that of fresh semen. The pregnancy rates were higher with fresh semen (71%) in comparison to that of separated sample (57%).Bangl. vet. 2016. Vol. 33, No. 2, 62-70

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