10 research outputs found
Not Available
Not AvailableAbstract Field experiments were conducted to study the
effect of irrigation and nitrogen levels on radiation use
efficiency (RUE), radiation extinction coefficient (j) and
temporal variation of leaf area index (LAI) and fraction
intercepted photosynthetically active radiation (fIPAR).
The LAI of wheat increased with increase in irrigation and
nitrogen levels. The fIPAR also followed trend similar to
LAI. The LAI and fIPAR showed logarithmic relationship
with R2 value of 0.92 and 0.93 for the years 2013–2014 and
2014–2015, respectively. The j value varied between 0.41
and 0.78 and was significantly affected by nitrogen levels
but was not influenced by irrigation levels. The grain and
above ground biomass (AGB) yields of wheat were not
affected significantly by irrigation levels. However, application of 160 kg N ha-1 (N160) registered higher grain
(12–33%) and AGB (22–25%) yeilds as compared to that
with application of 40 kg N ha-1 (N40). Similar to AGB,
the total intercepted photosynthetically active radiation
(TIPAR) was not affected by irrigation levels but N160
treatment registered 9–20% higher TIPAR compared to
N40 treatment. The linear relationship between TIPAR and
AGB revealed that 83–86% variation in AGB yield of
wheat can be explained by TIfIPAR. The RUE of wheat
under three irrigations (I3) was 6 and 18% higher
(P\ 0.05) than the five (I5) and two (I2) irrigation
treatments, respectively for the year 2013–2014. However,
there was no significant effect of irrigation on RUE of
wheat in the year 2014–2015. N160 treatment registered
5–13% higher RUE than the N40 treatment. Thus wheat
may be grown with three irrigations (CRI, flowering and
grain filling) and 160 kg N ha-1 for higher RUE without
significant reduction in AGB of wheat compared to five
irrigation levels in semi-arid location of Delhi region.Not Availabl
Not Available
Not AvailableThe best and commonly used ground - based sensor
to monitor crop growth, ASD FieldSpecPro Spectroradiometer
(Analytical Spectral Devices, Boulder, CO, USA) is
a passive sensor, which can be used under adequate light
condition. However, now - a - days active sensors such as
GreenSeekerTM (GS) handheld crop response (Trimble
Agriculture division, USA) are used for monitoring crop
growth and are flexible in terms of timeliness and illumination
conditions besides being cheaper than the ASD. Before its
wide use, the suitability and accuracy of GS should be
assessed by comparing the NDVI measured by this instrument
with that by ASD, under diverse wheat growing conditions of
India. Keeping this in view, the present experiment was
undertaken with the following objectives: (1) to find out the
temporal variation of NDVI measured both by ASD and GS
treatments, (2) to find out relationship between the NDVI
measured through ASD and GS and, (3) to evaluate the suitability
of GS for NDVI measurements. It was observedthatthe
numerical value of NDVI as measured by GS was always
significantly (P \ 0.05) lower than that measured by ASD for
all the experiments under study. The NDVI - ASD and NDVIGS
were significantly positively correlated (P \ 0.01) with
the correlation coefficients being ?0.94, ?0.88 and ?0.87 for
irrigation and nitrogen experiment, irrigation and cultivars
experiment, and tillage, residue and nitrogen experiments,
respectively. Further, the regression equation developed
between the NDVI - ASD and NDVI - GS: [NDVIGS
= 1.070 9 (NDVI - ASD - 0.292] can be successfully
used to compute the NDVI of ASD from that computed by GS.Not Availabl
Leaf area index retrieval using IRS LISS-III sensor data and validation of the MODIS LAI product over central India
Incidence and management of white grub, Schizonycha ruficollis on seedlings of teak (Tectona grandis Linn. f.)
Not Available
Not AvailableMaize mostly cultivated in tropical conditions suffers from various biotic and abiotic stresses.
Granted, while crop improvement has led to less disease and pest losses due to host plant
resistance in maize hybrids, these factors still cause substantial yield losses of maize in India.
In the event of incessant rains and unavailability of herbicides, farmers are not able to control
weeds through pre-emergence herbicides and manual weeding. Such circumstances,
compounded by escalating labor prices, demand effective post-emergence herbicide to manage weeds for sustainable and profitable maize production. To find effective post-emergence
herbicides, field experiments were conducted at 20 locations in various agro-ecologies of India
for three consecutive years (2015-2017). It was found that weeds caused 32.1 to 59.4% grain
yield losses of hybrid maize in the kharif season in India. The losses from the weed in absence
of weed management in hybrid maize were maximum in Central Western Zone (55.4 to 60.8%),
followed by Northern Hill Zone (43.0 to 49.4%), North Western Plain Zone (44.1 to 49.1%),
North Eastern Plain Zone (36.4 to 48.8%); and least in Peninsular zone (26.9 to 40.3%). These
losses indicate that the rainfed ecosystem has the maximum yield reduction in kharif maize in
central and northern India. The application of Atrazine (1.5kg a.i./ha) as pre-emergence
followed by Tembotrione (120ml a.i./ha) at 25 DAS as post-emergence gave the best weed
control and higher yield as well as net returns compared to the other pre- and post-emergence
herbicide-based management practices at most of the locations. The study suggests that the
Tembotrione at 120 ml a.i./ha at 25 DAS could be a better option for weed management in
maize in India and similar agro-ecologies.Not Availabl